Security Mechanisms Research Articles

Improved Digital Security Applications for Smart Card

With the rapid expansion of wireless networks and mobile computing applications, the quality of service (QoS) of mobile ad hoc networks (MANETs) has garnered growing attention. Ensuring QoS in a MANET system requires careful consideration of security issues. Attacks on a QoS distortion system without the protection of a security mechanism might result in subpar QoS performance, interference with resource use, or even failure of QoS provisioning. Traditional security measures cannot be applied because to the characteristics of MANET, which include limited processing and communication power and diversity of static topology. As a result, new security technologies are unavoidable. Nevertheless, not much research has been done on this subject. QoS and MANET system security are covered in this article. Consequently, the goal of this research is to create techniques for routinely evaluating security design reviews in order to make sure that all vulnerabilities, including security vulnerabilities, have been found, fixed, and their cause explained. Determine the system's fundamental security and protection needs by analyzing and determining its requirements. We create a network model using GloMoSim, specify node locations, communication features, and technology, and see if there are any vulnerabilities that could pose a security risk.

НR-ТЕХНОЛОГІЇ В УПРАВЛІННІ ПЕРСОНАЛОМ ЯК СКЛАДОВА ФІНАНСОВО-ЕКОНОМІЧНОЇ БЕЗПЕКИ ПІДПРИЄМСТВ В УМОВАХ ЦИФРОВОЇ ТРАНСФОРМАЦІЇ

Today, for some enterprises of Ukraine, there is a threat to their activities associated with active hostilities on a large territory, as well as constant cyber attacks from the Russian Federation. Also, the main factor in ensuring the company's competitiveness is the digital transformation of business processes, which ensures an increase in productivity and efficiency. The use of digital technologies in business requires more and more protection to minimize future threats from information leakage through cyber-attacks or rogue employees. Increasingly, there are cases where personnel are not responsible for disclosing information that poses a threat to the financial and economic activity of the enterprise. That is why there is a need to improve the use of HP technology in management personnel as a component of the financial and economic security of enterprises in the conditions of digital transformation. The method of writing the article is the study of HP technologies in personnel management as a component of the financial and economic security of enterprises in the conditions of digital transformation. The study of HP technologies in management personnel as a component of the financial and economic security of enterprises in the conditions of digital transformation was carried out. The advantages of HP technologies in management personnel are characterized and the importance of increased protection is emphasized. External and internal threats and risks affecting the financial and economic security of the enterprise are considered. It was determined that external threats have an unregulated nature and systematically affect the company's activities. Internal ones, in their situation, are more regulated and have local influence. It is proposed to develop the mechanism of financial and economic security of the enterprise taking into account the methods and tools of personnel management based on HR technologies. It is emphasized that for modern conditions it is important to pay considerable attention to the formation of the personnel management subsystem on the basis of HR technologies as a component of the financial and economic security of the enterprise, which ensures its strengthening. It was determined to increase the protection of information systems used by management personnel to ensure the reduction of leakage of corporate and personal information, which strengthens the financial and economic security of the enterprise.

Deciphering the Surge: A Focused Review of Flooding Attacks and Proactive Defense Mechanisms using Anomaly-Based Detection Strategies

Abstract: Flooding attacks, a taxonomical classification of the denial-of-service attacks, are a brute force attempt of overloading and incapacitating the target by consuming the entirety of the bandwidth reserved for ensuring availability. Over the years, flooding attacks have evolved, in both mode of delivery as well as attack surface parameters. Today, they pose a very serious threat to critical infrastructure and services across the globe. This paper presents a concise and focused review of flooding attacks, their expanse on the global cyber landscape alongside some recent case studies and security mechanisms adopted by industry as standards to tackle with them, followed by a review of the detection strategies using anomaly techniques for a proactive defense and the challenges faced.

Analysis of blockchain in its standard, development and solicitation

The purpose of the article is to expand knowledge about the applications block chains described in the scientific literature. Blockchain is a decentralized management technology transactions and data, introduced in 2008, whose first use was the famous crypto currency Bitcoin. Diversity possible applications of blockchain technology i In , the initial state of research in this field was stimulated interests and publications on this topic. The built-in features of this technology ensure security and anonymity and data integrity create interesting areas of research, particularly from the perspective of technical challenges and limitations. Security features of many important systems in many industries rely on what is known as “Safety Through”. Ambiguity (Berentsen,2020) in security technology. Research in this direction aims to keep security mechanisms and system implementation in a complete state anonymity. However, the main disadvantage of this method is the problem with is that if we find out, the entire system could collapse Security mechanism. A fact that will become known later several studies show that this practice is becoming virtually impossible with the use of revolutionary blockchain technology.

A lightweight and robust authentication scheme for the healthcare system using public cloud server.

Cloud computing is vital in various applications, such as healthcare, transportation, governance, and mobile computing. When using a public cloud server, it is mandatory to be secured from all known threats because a minor attacker's disturbance severely threatens the whole system. A public cloud server is posed with numerous threats; an adversary can easily enter the server to access sensitive information, especially for the healthcare industry, which offers services to patients, researchers, labs, and hospitals in a flexible way with minimal operational costs. It is challenging to make it a reliable system and ensure the privacy and security of a cloud-enabled healthcare system. In this regard, numerous security mechanisms have been proposed in past decades. These protocols either suffer from replay attacks, are completed in three to four round trips or have maximum computation, which means the security doesn't balance with performance. Thus, this work uses a fuzzy extractor method to propose a robust security method for a cloud-enabled healthcare system based on Elliptic Curve Cryptography (ECC). The proposed scheme's security analysis has been examined formally with BAN logic, ROM and ProVerif and informally using pragmatic illustration and different attacks' discussions. The proposed security mechanism is analyzed in terms of communication and computation costs. Upon comparing the proposed protocol with prior work, it has been demonstrated that our scheme is 33.91% better in communication costs and 35.39% superior to its competitors in computation costs.

Resource allocation on periotity based schuduling and improve the security using DSSHA-256

Cloud computing has gained popularity with advancements in virtualization technology and the deployment of 5G. However, scheduling workload in a heterogeneous multi-cloud environment is a complicated process. Users of cloud services want to ensure that their data is secure and private, especially sensitive or proprietary information. Several research works have been proposed to solve the challenges associated with cloud computing. The proposed Adaptive Priority based scheduling (PBS) focuses on reducing data access completion time and computation expense for task scheduling in cloud computing. PBS assigns tasks depending on its size and selects the minimum cost path for data access. It contains a task register, scheduler, and task execution components for efficient task execution. The proposed system also executes a double signature mechanism for data privacy and security in data storage. This study correlates the performance of three algorithms, PBS, (Task Requirement Degree) TRD and (recommended a Risk adaptive Access Control) RADAC, in terms of task execution time and makespan time. The experimental results demonstrate that PBS outperforms TRD and RADAC in both metrics, as the number of tasks increases. PBS has a minimum task execution time and a lower makespan time than the other two algorithms

Research on Government Data Sharing Mechanism Based on Smart Contracts

Exploring mechanisms for internal data sharing within government departments is important in advancing digital and intelligent society. This paper is based on the establishment of decentralized nodes on the external network of government departments, constructing a decentralized node, and establishing a government internal data sharing model based on blockchain. Subsequently, integrating attribute fields from government data into the shared model, accompanied by the formulation of data-sharing rules through smart contracts, serves to streamline the implementation of efficient and secure cross-validation mechanisms across diverse departments. Finally, this article concludes by conducting a model performance testing experiment, evaluating the model from three perspectives: storage cost, blockchain performance, and security analysis. The test results show that our model enhances the efficiency of querying and retrieving data within the government's internal data-sharing system, effectively addressing challenges such as low efficiency, high costs, and issues related to the security and real-time aspects of data sharing within the government. Overall, our article provides a new way of thinking about government data sharing.

Household security as a financial aspect in family economy

Subject. The article addresses the financial security of a typical household in Russia as a structural unit of the economy through forecasting and planning the dynamics of changes in the amount of budget revenues and expenditures. Objectives. The aim is to consider the budget of a typical household in Russia to ensure its financial security for fiscal year 1, analyze its situation and opportunities, make forecasting and planning for the next fiscal year, according to our own methodology, and also to present the household as a significant structural element in the economic system of the State. Methods. The study rests on methods of observation, comparison, logical analysis, our own method based on forecasting and planning, and graphical method. Results. We performed the analysis of trends in budget revenues and expenditures of a typical household. Based on the results and using our own methodology, we made a forecast and a plan for the dynamics of budget changes for the next financial year, within the framework of financial security mechanism. We substantiated the importance of household's financial decisions in relation to the development of the economic system of the State. Conclusions. The financial aspect in the family economy is directly dependent on the level of cultural development of household members. The economy of the State, in turn, depends on the level of financial culture of each of its structural element, i.e. a household. The offered mechanism for ensuring financial security will help increase the level of financial culture of household members, thus developing the economic system of the State from the grassroots levels.

Field-Programmable Gate Array-Based Implementation of Zero-Trust Stream Data Encryption for Enabling 6G-Narrowband Internet of Things Massive Device Access

With the advent of 6G Narrowband IoT (NB-IoT) technology, IoT security faces inevitable challenges due to the application requirements of Massive Machine-Type Communications (mMTCs). In response, a 6G base station (gNB) and User Equipment (UE) necessitate increased capacities to handle a larger number of connections while maintaining reasonable performance during operations. To address this developmental trend and overcome associated technological hurdles, this paper proposes a hardware-accelerated and software co-designed mechanism to support streaming data transmissions and secure zero-trust inter-endpoint communications. The proposed implementations aim to offload processing efforts from micro-processors and enhance global system operation performance by hardware and software co-design in endpoint communications. Experimental results demonstrate that the proposed secure mechanism based on the use of non-repeating keys and implemented in FPGA, can save 85.61%, 99.71%, and 95.68% of the micro-processor’s processing time in key block generations, non-repeating checks, and data block transfers, respectively.

Quantum Circuit-Based Proxy Blind Signatures: A Novel Approach and Experimental Evaluation on the IBM Quantum Cloud Platform

Abstract This paper presents a novel approach to proxy blind signatures in the realm of quantum circuits, aiming to enhance security while safeguarding sensitive information. The main objective of this research is to introduce a Quantum Proxy Blind Signature (QPBS) protocol that utilizes quantum logical gates and quantum measurement techniques. The QPBS protocol is constructed by initial phase, proximal blinding message phase, remote authorization and signature phase, remote validation and de-blinding phase. This innovative design ensures a secure mechanism for signing documents without revealing the content to the proxy signer, providing practical security authentication in a quantum environment under the assumption that the CNOT gates are securely implemented. Unlike existing approaches, our proposed QPBS protocol eliminates the need for quantum entanglement preparation, thus simplifying the implementation process. To assess the effectiveness and robustness of the QPBS protocol, we conduct comprehensive simulation studies in both ideal and noisy quantum environments on the IBM quantum cloud platform. The results demonstrate the superior performance of the QPBS algorithm, highlighting its resilience against repudiation and forgeability, key security concerns in the realm of proxy blind signatures. Furthermore, we have established authentic security thresholds (82.102%) in the presence of real noise, thereby emphasizing the practicality of our proposed solution.

“The Ukrainian Issue” at the G7 Summits in Conditions of the Russian-Ukrainian Conflict 2014–2022

This article is aimed to provide an in-depth analysis of the G7 policy towards Ukraine in the context of Russian invasion 2014–2022. The hypothesis formed and verified in this paper is that since the beginning of Russian expansion on Ukraine in 2014 the G7 members have called for a negotiated process and a political solution to the conflict, but it was hardly possible to quickly adopt and implement timely and adequately decisions to resolve the crisis in the region through the bonding of global and regional security mechanisms. Thus, a comfortable field for prolonging the conflict, which has developed into a full-scale war, was formed. The research methodology is based on systemic, historical, structural and political approaches to the study of the problem. Research methods are comparative analysis, content analysis, chronological and classification methods.
 This study allows us to distinguish the stages of the G7 involvement in the “Ukrainian issue” in the period of 2014–2022. During these years, the group’s policy underwent three shifts in course, influenced in large part not only by the activities of Russia, but also by policy course changes of individual G7 members. The example of the nine-year unresolved local Russian-Ukrainian conflict shows that such crisis may pose a threat not only to regional, but also to global stability and there is a strong correlation between them.

Assessing Security Mechanisms for Protecting Patient Health Information at the Berekum Holy Family Hospital.

INTRODUCTION The security and privacy of patient health information remains a major concern for most health facilities in recent times where patient data can easily be shared between institutions. Patient health information is considered by many as one of the most confidential of all types of personal information. Protecting this confidentiality is therefore essential if the privacy of subjects of care is to be maintained. Securing patient health information involves security mechanisms versus any party not authorized to access the data. Security and privacy in electronic health records systems can be seriously threatened by hackers, viruses, and worms. According to studies carried out in several countries, concerns regarding data security and privacy have appeared. A recent study estimated that each year there are 25 million compelled authorizations for the disclosure of health records in the United States. In order to prevent these concerns, organizations such as the Certification Commission for Healthcare Information Technology (CCHIT) offer a certified program which covers a rigorous inspection of, among other things, security aspects based on existing standards, which is relevant for the United States. There is a real concern about both people’s and entities’ access levels to patient health information. A patients’ health information might be expose and accessible from several networks or devices in the health facility. (by visiting different doctors’ offices, departments, providers, etc. Security defects in some of these areas could cause the disclosure of information to unauthorized persons or companies. Patient health information therefore need protection against manipulations, unauthorized accesses and abuses, which includes taking into account training on the security techniques, encryption of health information, user-authentication and authorization. Patient health information might be tempered with to the extent that administrative staff could for example access information without the patient’s explicit consent in a financial and billing reviews. According to the Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009, patients’ privacy violations and breaches are becoming more expensive than ever Therefore, there is the need to assess the various security mechanisms for protecting patient health information from unauthorized access to improve the quality of care delivery.

IoT-BIM and blockchain integration for enhanced data traceability in offsite manufacturing

The transformation of dynamic supply chains within the realm of offsite manufacturing presents a unique and compelling opportunity to effectively respond to shifts in market demand. However, this paradigm shift also entails novel challenges and prospects for streamlining processes, augmenting efficiency, and ultimately driving success across production workflows and logistical operations. Dynamic supply chains necessitate unimpeded access to high-quality, dependable data to facilitate real-time, data-driven decision-making. Furthermore, owing to their inherently intricate nature, these supply chains are subject to a heightened vulnerability to disruptions and delays, surpassing those encountered in traditional supply chains. Against this backdrop, this paper proposes a framework that synthesises the convergence of the Internet of Things (IoT), Building Information Modelling (BIM), and blockchain technology (BCT) into a cohesive and integrated system, thereby optimising the efficiency and transparency of supply chain management operations. The proposed framework takes cognisance of the challenges inherent in ensuring information traceability, mitigating fragmented information, enhancing interoperability, and fortifying reliability throughout the design, production, and implementation phases of assets within dynamic supply chains operating in the offsite manufacturing domain. To illustrate the efficacy of our proposition, we present a framework that exemplifies the seamless integration of a permissioned, open-source distributed ledger, which forms the bedrock of our support infrastructure for IoT and BIM integration.Through rigorous analysis, we showcase the effectiveness of the developed framework in the form of a designed Supply Chain Management Model (SCMM-PDO), which harmonises the physical, digital, and operational layers within a robust system architecture (BCT.IoT-BIM). The integration of these technologies provides a decentralised solution, reinforcing supply chains with improved security, reliability, and quality control mechanisms, thus enhancing the efficiency of the supply chain network. It is anticipated that this transformative integration will yield substantial improvements in key performance indicators (KPIs) such as operational efficiency, cost reduction, and the cultivation of trust and accountability across supply chain activities.The research proposes an IoT and BIM conceptual framework that simulates the dynamic supply chain operations, facilitating real-time analysis and prediction of supply chain participants' behaviours from resources, processes, and assets. Furthermore, the integration of IoT-BIM (digital twinning) with a blockchain-based system, such as Hyperledger Fabric, engenders a secure and transparent framework for the diligent tracking of assets and information throughout the supply chain. The findings of this study offer an all-encompassing conceptual framework for the secure and transparent tracking of asset information by integrating Blockchain-based technologies with IoT and BIM. This research endeavour thus expands the existing body of knowledge, establishing a foundation for future investigations within this proliferating field.

Analysis of a Fuzzy Based Intrusion Detection System in Wireless Ad Hoc Networks

Technology and its growth is considerably enormous. This massive growth allows the opening of new fields of application in the domain of wireless networking and mobile ad-hoc networks (MANET) is one of its kinds. Mobile ad hoc network is widely used from collaborative computing to time critical applications in indoor and outdoor environment. Mobility of ad hoc network makes very attractive in all areas of mobile applications. Nodes participating in mobile ad hoc networks are autonomous, self-configurable and act as a router as well. These types of networks are dynamic in nature and have sort life time. Dynamic nature and limitations of the wireless transmission medium make MANET unsecured and vulnerable to various attacks. It is very tough to implement security for this networks and it opens up doors for further research work on this area. There is a great scope for designing a system to identify attacks and take countermeasures to minimize it and keep the performance of the network within acceptable limits. Intrusion detection system is one of its kinds and considered as security mechanism for MANET. This thesis explores different types of intrusion detection system like misuse detection and anomaly detection for mobile ad hoc networks. Anomaly detection techniques for ad hoc networks depend on the characterization of normal behavior pattern of wireless nodes. This research work focuses on wireless node behavior based detection technique. Most of anomaly intrusion detection systems are focusing on upper layer traffic to a profile normal behavior of wireless node. This research work focus on media access control (MAC) layer and network layer of wireless node. It is inefficient to use a large feature set of MAC layer and network layer due to energy limitation in ad-hoc network. A minimal feature set from MAC layer and network layer were proposed. This research work proposed an anomaly intrusion detection system for mobile ad hoc network using fuzzy logic and weighted average method. The network performance of mobile ad hoc network with intrusion detection system was analyzed using various network parameters. Further the performance of the performance of the intrusion detection system was analyzed using detection rate and false alarms. Results show good improvement in detection rate and other performance metrics

Security and Trust Management in the Internet of Vehicles (IoV): Challenges and Machine Learning Solutions.

The Internet of Vehicles (IoV) is a technology that is connected to the public internet and is a subnetwork of the Internet of Things (IoT) in which vehicles with sensors are connected to a mobile and wireless network. Numerous vehicles, users, things, and networks allow nodes to communicate information with their surroundings via various communication channels. IoV aims to enhance the comfort of driving, improve energy management, secure data transmission, and prevent road accidents. Despite IoV's advantages, it comes with its own set of challenges, particularly in the highly important aspects of security and trust. Trust management is one of the potential security mechanisms aimed at increasing reliability in IoV environments. Protecting IoV environments from diverse attacks poses significant challenges, prompting researchers to explore various technologies for security solutions and trust evaluation methods. Traditional approaches have been employed, but innovative solutions are imperative. Amid these challenges, machine learning (ML) has emerged as a potent solution, leveraging its remarkable advancements to effectively address IoV's security and trust concerns. ML can potentially be utilized as a powerful technology to address security and trust issues in IoV environments. In this survey, we delve into an overview of IoV and trust management, discussing security requirements, challenges, and attacks. Additionally, we introduce a classification scheme for ML techniques and survey ML-based security and trust management schemes. This research provides an overview for understanding IoV and the potential of ML in improving its security framework. Additionally, it provides insights into the future of trust and security enhancement.

CSI-based WIFI Device Identification Solution

In recent years, wireless devices such as WIFI routers have become increasingly common in various fields. Rogue access point (RAP) is one of the threats that has persisted in wireless LAN (WLAN) for many years and can cause varying degrees of property damage and privacy leaks. In response to these threats, we propose a new security mechanism, called Rdi, which uses environment-independent features extracted from channel state information (CSI) as fingerprints for device identification. We found that the phase errors between multiple antennas on a single MIMO-OFDM (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing) transmitter are not the same. This phase offset is due to the I/Q imbalance and imperfect oscillator of each WiFi network card, and it will not change with factors such as environment and time. Therefore, we inferred and verified that there must be some relationship between the phase errors of multiple groups of antennas, that is, the relative phase error (RPE). In addition, RPE will also vary with different WiFi devices. Compared with some similar fingerprint detection methods in the past, the use of specific connections between group phase errors between antennas can better reveal the different attributes between devices, thereby enhancing the uniqueness of features. Therefore, we believe that RPE can be used as an effective fingerprint to detect RAP attacks. We conduct a large number of experimental demonstrations on this, and innovatively built a multi-modal convolutional neural network (CNN) model to perform efficient classification work for our solution. Experiments on 22 WiFi devices and various scenarios show that the detection rate of Rdi can reach more than 98% in both dynamic and static device states.

Intrusion Detection in Internet of Things Systems: A Feature Extraction with Naive Bayes Classifier Approach

The Internet of Things (IoT) has proliferated, transitioning from modest home automation to encompass sectors like healthcare, agriculture, transportation, and manufacturing. This evolution is characterized by devices' ability to autonomously gather, disseminate, and analyze data, leading to improved real-time decision-making, predictive insights, and customized user experiences. The ubiquity of IoT, while promising, introduces significant data security concerns. The vast number of interlinked devices and diverse and often insufficient security features make them vulnerable to cyber threats, emphasizing the need for robust security mechanisms. Intrusion Detection Systems (IDS) have traditionally acted as vital guards against such threats; however, with the ever-increasing data in the IoT, traditional IDS models, such as Naive Bayes, face processing speed and accuracy challenges. This paper introduces a novel model, "FE+NB," which merges advanced Feature Extraction (FE) with the Naive Bayes (NB) classifier. Central to this model is the "Temporal-Structural Synthesis" technique tailored for IoT traffic data, focusing on data compression, temporal and structural analyses, and Feature Selection (FS) using mutual information. Consequently, the model enhances efficiency and accuracy in Intrusion Detection (ID) in complex IoT networks.

The viewpoints of parents of children with mental disorders regarding the confidentiality and security of their children’s information in the Iranian national electronic health record system

IntroductionElectronic health records help collect and communicate patient information among healthcare providers. The confidentiality of information, especially for patients with mental disorders, is paramount due to its profound impacts on individuals’ lives' social and personal aspects. This study aimed to investigate the viewpoints and concerns of parents of children with mental disorders regarding the confidentiality and security of their children's information in the Iranian National Electronic Health Record System (IEHRS). MethodsThis is a survey study on parents or guardians of children with mental disorders who visited Kerman’s specialised child psychiatry treatment centres. The data collection tool was a researcher-made questionnaire with 28 questions organised in seven sections, including demographic information of parents, children’s medical history, Internet use, knowledge about IEHRS, the necessity of data collection, IEHRS security concerns, and privacy concerns. The data were analysed in SPSS 24 software using descriptive statistics and logistic and ordinal regressions to assess the relationship between parents’ demographic characteristics and their viewpoints regarding information security and confidentiality concerns. ResultsThe results showed that more than 85 % of the parents believed that the security of their children’s information in IEHRS was moderate to high. More than two-thirds (71 %) of the parents also believed that IEHRS should tighten its privacy policies. Most participants (87 %) were concerned about their children’s information security in IEHRS. In this study, the parents’ concerns about the privacy and security of information in IEHRS were not significantly associated with their age, gender, or knowledge about IEHRS. ConclusionsMost parents of children with mental disorders were concerned about the security and confidentiality of their children's information in IEHRS. Thus, health policymakers should maintain a high level of security and establish appropriate privacy and confidentiality rules in IEHRS. In addition, they should be transparent about the system’s security mechanisms and confidentiality regulations to win public trust.

Optimizing Internet-Wide Port Scanning for IoT Security and Network Resilience: A Reinforcement Learning-Based Approach in WLANs with IEEE 802.11ah

ABSTRACT The rapid proliferation of Internet of Things (IoT) devices has spurred the need for robust security mechanisms within wireless local area network (WLAN) environments. Specifically, the IEEE 802.11ah (WiFi-HaLow) technology offers low-power, long-range communication capabilities ideally suited for IoT devices, but these devices face security threats due to constrained computational resources. This research addresses the challenge of optimizing Internet-wide port scanning to enhance IoT security while minimizing disruptions to network performance. In this paper, we propose a novel reinforcement learning-based approach to achieve this optimization. Our approach harnesses the power of the Proximal Policy Optimization (PPO) algorithm to guide decision-making for IoT security and network performance enhancement. The proposed solution entails training an agent to dynamically adjust the port scanning rate, ensuring the delicate balance between security improvement and network responsiveness. We establish a comprehensive system model, encompassing WiFi-HaLow infrastructure, IPv6-enabled IoT devices, and the integration of Internet-security (IPSec) protocols. Mathematical formulations encapsulate constraints such as resource limitations and security-performance trade-offs. Our experimental setup utilizes a carefully curated dataset and a simulation environment to rigorously evaluate the proposed solution’s effectiveness. The proposed approach demonstrates remarkable security enhancement through the prevention of unauthorized access attempts, data breaches, and improved intrusion detection. Moreover, network performance is optimized, with reductions in latency, improvements in throughput, and energy-efficient operation. By presenting a plethora of comparison scenarios, we validate the superiority of our solution against various benchmarks. This research contributes a comprehensive framework that not only advances IoT security within WLAN environments but also highlights the intricate relationship between security and network performance optimization.

?Implementation of Security Protocol for Intrusion Detection Systems in Wireless Sensor Networks

Sensor networks consist of compact sensors and actuators capable of monitoring physical conditions. Wireless Sensor Networks (WSNs) with limited power and dynamic topology require effective security mechanisms. Insider attacks pose a greater challenge than outsider attacks. This work proposes an Intrusion Detection approach in WSNs to detect attacks, emphasizing experimental results, parameter analysis, and Performance Evaluation based on accuracy and minimizing false positives.