Security Performance Of System Research Articles

Secure Efficiency: Navigating Performance Challenges in Multi-Tenant Cloud Security Implementations

Multi-tenant cloud environments offer significant advantages in terms of cost-efficiency and scalability, but they also present unique challenges in balancing robust security measures with optimal performance. This article examines the intricate relationship between security implementations and system performance in shared cloud infrastructures. Through a comprehensive analysis of data isolation techniques, access control mechanisms, network security protocols, and threat detection systems, we identify key areas where security measures can impact performance metrics such as latency, throughput, and resource utilization. Our article employs a mixed-methods approach, combining quantitative performance measurements with qualitative case studies from industry-leading cloud service providers. The findings reveal that while stringent security measures often introduce performance overhead, strategic implementation and optimization can significantly mitigate these effects. We propose a framework for dynamically balancing security and performance requirements, incorporating emerging technologies such as AI-driven threat detection and automated resource allocation. This article contributes to the growing body of knowledge on cloud computing optimization and provides practical insights for cloud architects and security professionals seeking to enhance both the security posture and performance efficiency of multi-tenant cloud environments.

Google Assistant-Enabled Smart Lock System Using NodeMCU ESP8266 for IoT

Security is an important aspect that needs to be considered in a smart lock system. Conventional key tools currently have low security levels and are vulnerable to attacks. Therefore, this research aims to design a smart lock security system that utilizes Google Assistant features from Google and the NodeMCU ESP8266 module based on the Internet of Things (IoT). By using Google Assistant, users can control this smart lock with voice commands. The NodeMCU ESP8266 is used as the main controller in this system, responsible for receiving commands from Google Assistant and controlling the smart lock mechanism. A prototype implementation was conducted to test the performance of this smart lock security system. In the testing phase, the system's performance was measured based on voice command responsiveness, response speed, and the security it provides. The test results show that this smart lock security system offers a higher level of security compared to conventional key tools, with a security satisfaction rate of up to 90% among the 10 respondents related to the use of this device. With this research, it is expected to enhance community security by introducing a safer and more reliable smart lock tool based on virtual assistant. This security system, utilizing Google Assistant features and the NodeMCU ESP8266, can provide ease and convenience for users while maintaining optimal security.

Blockchain-Powered Lotteries - Unveiling the Mechanics of Fairness and Security

The integration of blockchain technology into lottery systems marks a significant shift in the pursuit of fairness and security. This research project delves into the intricacies of implementing blockchain in lotteries, focusing on understanding how technological innovations interact with fundamental principles of fairness and security. In our exploration, the literature review lays the groundwork by examining traditional lottery systems and past attempts to address inherent challenges. Through a critical analysis of existing research on blockchain in lotteries, we identify gaps and opportunities for improvement. The methodology then details our research design, the selection of a suitable blockchain framework, and the meticulous design of smart contracts integrated with robust randomness mechanisms. Moving on to the implementation phase, we discuss the development environment, tools used, and the seamless integration of blockchain into existing lottery infrastructures. Results and findings provide a comprehensive analysis of blockchain-powered lottery transactions, evaluating fairness, security, and overall system performance. A comparative study against traditional systems offers valuable insights, shedding light on potential advantages and challenges. A critical analysis scrutinizes the implementation against predefined objectives, identifying strengths and weaknesses, and addressing potential risks. Looking towards the future, we discuss opportunities for improvement, scalability solutions, regulatory considerations, and potential collaborations. Keywords—Blockchain, Lotteries, Fairness, Security, Smart Contracts.

Case Study in Network Security System Using Random Port Knocking Method on The Principles of Availability, Confidentiality and Integrity

Preventing unidentified individuals from misusing their access to information is a major concern when it comes to data security. Network administrators are charged with working harder to be able to secure the computer network they manage. The utilization of right method is a challenge for network administrators to protect computer network from intruders. The RPK method is one of solution to overcome this problem. This research aims to implement RPK method on the principles of availability, confidentiality, and integrity which have not been explored by previous studies. The network system configuration stage involved installing Debian 9, NMAP, Hydra, RPK, cloud server, remote admin, and attacker. The network security system's performance was tested, revealing a 99.97% availability rate and 100% confidentiality. The system's integrity was assessed, with an average response time of 0.22 seconds and 100% blocking accuracy. The test results indicate that the system's network security performance, using the RPK method, capable of protecting server attacks and effectively upholding security stability.

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

AbstractThe Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things (NB‐IoT) technology. The core objective is establishing a seamless data transmission pipeline that bridges these devices with the nearest base station. The associated data is routed directly from the edge computing infrastructure to the Cloud storage. The proposed architecture increases data security and optimises system performance by avoiding dependencies on central data centres. The critical components of this system allow the edge node to transmit data to the cloud, where primary data processing and analysis occur. The selection of NB‐IoT as the underlying protocol facilitates real‐time data collection and monitoring in healthcare with boosted capacity and coverage, extended battery life, and cost efficiency.

Secrecy energy efficiency optimization for multiuser massive MIMO wiretap systems with transmit antenna selection

Massive multiple-input-multiple-output (Massive MIMO) significantly improves the capacity of wireless communication systems. However, large-scale antennas bring high hardware costs, and security is a vital issue in Massive MIMO networks. To deal with the above problems, antenna selection (AS) and artificial noise (AN) are introduced to reduce energy consumption and improve system security performance, respectively. In this paper, we optimize secrecy energy efficiency (SEE) in a downlink multi-user multi-antenna scenario, where a multi-antenna eavesdropper attempts to eavesdrop the information from the base station (BS) to the multi-antenna legitimate receivers. An optimization problem is formulated to maximize the SEE by jointly optimizing the transmit beamforming vectors, the artificial noise vector and the antenna selection matrix at the BS. The formulated problem is a nonconvex mixed integer fractional programming problem. To solve the problem, a successive convex approximation (SCA)-based joint antenna selection and artificial noise (JASAN) algorithm is proposed. After a series of relaxation and equivalent transformations, the nonconvex problem is approximated to a convex problem, and the solution is obtained after several iterations. Simulation results show that the proposed algorithm has good convergence behavior, and the joint optimization of antenna selection and artificial noise can effectively improve the SEE while ensuring the achievable secrecy rate.

Security and Performance through Operating System Services; Development of an Anti-Hacking System

An operating system is intricate software that is simple to compromise. Operating systems control a sizable number of services and updates, which, if not used properly, might provide problems. In this study, an anti-hacking system was created to guard against attacks on the operating system and boost its performance and security. Due to its increasing popularity among non-professional users, Microsoft Windows 8 was chosen in this context. The proposed solution may provide a significant improvement as software and has identified 21 and 33 services for security and operating system performance, respectively. Additionally, each service was individually detailed so that customers could quickly comprehend why they were needed and how to use them.

An Enhance the Performance of Mining Vehicular and Machinery Security Systems Using Artificial Intelligence in VANET Cloud Computing

Over the recent decades, incorporating Vehicular Ad-hoc Network (VANET) into Cloud computing plays a vital role, since it provides a reliable safety journey to vehicular drivers, passengers, etc. However, attaining security and emergency message dissemination is still major bottleneck in VANET combined Cloud, due to the dynamic nature of vehicles and wireless communication. Our major intention is to provide high level security in VANET-Cloud environment. In addition to it, we also reduce delay in emergency dissemination. Our proposed Delay aware Emergency Message Dissemination and Data Retrieval in secure (DEMD22RS) VANET-Cloud is composed of four sequential processes: Authentication, Clustering, Data Retrieval and Data dissemination. In regard to maintaining security for both Road Side Unit (RSU) and Vehicles, we propose Hash based Credential Authentication Scheme (HCAS) that affords authentication using Secure Hash Algorithm-3 (SHA-3) and Elliptic Curve Points (ECP). To sustain a stable cluster, Firm Aware Clustering Scheme (FACS) is pursued where Stud Krill Herd (SKH) algorithm is exploited. In the data retrieval process, cloud provides requested information to the RSU in encrypted form using the Twofish algorithm. RSU discover the path to deliver received data through executing Artificial Neural Network (ANN) algorithm. In order to diminish delay in emergency message dissemination, best disseminator is selected by cluster head using Fuzzy-Topsis (FT) algorithm. Our DEMD22RS VANET-Cloud network is implemented in Network Simulator 3 tool. Finally, the evaluation of DEMD22RS work performance is achieved by computing consequent metrics that are Throughput, Packet Delivery Ratio, Transmission delay, Average delay, Key generation time, Encryption time and Decryption time.

Improving Physical Layer Security in Vehicles and Pedestrians Networks With Ambient Backscatter Communication

Autonomous driving is considered one of the killer technologies in the intelligent era. The information transmission between autonomous vehicles and pedestrians (V2P) is very important to reduce the number of road accidents. Ambient backscatter communication (AmBC) technology can be used to increase the vehicle (or driver) awareness regarding the presence of pedestrians in a crosswalk to realize short-distance transmission of emergency messages. On the other hand, highly secure transmission in V2P networks is required to assure the broadcasting of emergency messages. However, the artificial noise scheme by an additional noise source to improve the physical layer security (PLS) is not suitable due to the dynamic vehicles. Therefore, in this paper, we propose a source-noise assisted AmBC transmission scheme in the V2P system, in which the noise is created by the ambient radio frequency (RF) source to improve the PLS performance. The closed-form expressions for the outage probability of the legitimate user and the intercept probability of eavesdropper are derived. Finally, the diversity gain performance of the system is studied by analyzing the asymptotic behaviors. The theoretical and simulation results show that the proposed scheme improves the system security performance at the expense of system reliability by utilizing the proposed source-noise aided scheme in the V2P network. Besides, the optimal reflection coefficient is related to the power allocation ratio for the signal of the reader and interference noise. The different reflection coefficient is required for achieving the best system performance under different power allocation ratios. Moreover, the results also show that there are error floors for the outage probability, depending on the reflection coefficient. Furthermore, the performance results show that the intercept probability will significantly decrease when the outage probability is fixed in the proposed scheme.

Penilaian Kinerja dan Penyusunan AKNOP Embung di Provinsi Bali

Performance assessment and preparation of AKNOP (operation and maintenance costs) were carried out on 13 reservoirs in the province of Bali, including Embung Badeg, Embung Batudawa, Embung Baturinggit, Embung Besakih, Embung Bukit, Embung Datah I, Embung Datah II, Embung Dukuh, Embung Muntig, Embung Seraya Timur, Embung Seraya, Embung Telung Buana, and Embung Untalan located in Karangasem Regency. The purpose of this study is to evaluate the reservoir performance against the specified assessment aspects and to obtain the planned operating and maintenance costs for the reservoir facilities and infrastructure based on the damage criteria. The evaluation of the operation performance and maintenance of the reservoir refers to the Circular Letter of the General Director of Water Resources, Ministry of Public Works and Housing. Meanwhile, the AKNOP value is calculated from the total of multiplication volume, frequency, and unit price of work for each reservoir operation and maintenance activity. The reservoir performance evaluation is based on four criteria, physical performance, operating and service performance, security and environmental system performance, and institutional performance. From the study, the result shows that 13 reservoirs' performances are in adequate condition. The operation and maintenance can be done by routine and periodic maintenance activities based on operating and maintenance cost plans. This activity is expected to reduce reservoir damage.

Future Challenges of the Internet of Things in the Health Care Domain - An Overview

Medical IoT systems have recently become one of the most sophisticated medical technologies in well-developed countries. The remote monitoring of medical services may benefit greatly from this technology. According to a new study, security measures and training are critical in protecting IoMT systems from cyber-attacks. In this paper, the primary security and privacy challenges with IoMT are examined using current security solutions. Non-cryptographic and cryptographic approaches are used for a variety of attacks. It's therefore possible to compare the computational complexity of the various solutions and the resources they demand. Besides, the discussion of attack versions with causes for possible solutions, the dangerous scenarios of various attacks are also provided here. IoMT security methods, particularly in the rapidly expanding field of digital healthcare, show a trade-off between security level and system performance. There is a final section that talks about the acceptable security solutions, such as various attacks through common solution methods and protocols.

An Innovative FPGA Implementations of the Secure Frequency Hopping Communication System Based on the Improved ZUC Algorithm

Frequency Hopping (FH) is a significant anti-interception and anti-interference, so some wireless communication systems extensively use it. Then it can offer better security performance of the system via combining cryptographic algorithms with FH. This paper presents a detailed theoretical design and hardware implementation of an evolutionary ZUC stream cipher algorithm on FPGA. Using some encryption algorithms can improve the security of the FH system by increasing its complexity, including SNOW3g, ZUC algorithm, Chaos system, and other cipher methods. ZUC (named for Zu Chongzhi, a famous mathematician in ancient China) is bitstream encryption that builds the core of the 3GPP integrity algorithm 128-EIA3 and the 3GPP confidentiality algorithm 128-EEA3, providing authentic security services in 4G, even in 5G (IMT-2020) to some extent. The article presented an evolutionary three-layers structure of the ZUC FH system, which innovatively applied the permutation polynomial algorithm and an evolutionary DES cipher algorithm. The introduction of that new DES and the permutation polynomial can efficiently increase the security performance of the ZUC system but also avoid some shortcomings of the UHF (Ultra High Frequency) communication. The experiment of this research designed software by coding VHDL language and implemented hardware using a XILINX Virtex-5 FPGA. The finished experiment gave, analyzed, and compared all results according to the performance of the proposed system and hardware resources. The tests for evaluating the randomness and security denote that the constructed sequences have better performance, including the randomness, linear complexity, and hamming correlations, and pass the NIST test finally. The experimental results show that this improved ZUC cipher stream algorithm proposed in the article can provide a high throughput of 2.08 Gbps under a 65MHz clock frequency. The authors will focus their future work on applying the evolutionary S-box and the algorithm with better security performance.

Analysis security system performance MIPv6 in signaling process using AES and Twofish algorithms

Mobile technology has become a necessity for modern society in the digital era. The ease of various information processes is a driving force for the growth of mobile users. To support continuous connectivity, Mobile IPv6 (MIPv6) is a solution and successor to the current Mobile IPv4 technology. Mobility in accessing a wide range of services is carried out via the Internet, but activities on the Internet make us vulnerable to various malicious acts. Issues such as information security as well as high overheads are a concern for mobile communications. An encryption mechanism is required throughout the signaling phase to construct security associations to enhance MIPv6 security performance. IPsec offers security services at the network layer. There are three encryption algorithms in IPsec, namely DES, 3DES, and AES. The DES algorithm is no longer recommended due to security factors, while AES is still not optimal in wireless networks. This study aims to analyze the performance of the MIPv6 security system and service quality with the AES and Twofish algorithms. Twofish algorithm is a candidate that has the potential for better performance. The experiment concluded that the performance of the Twofish algorithm is superior based on the security of cryptanalysis attacks with a cracking time that is twice as long as AES. In terms of service quality, Throughput Twofish has an increase of 20.05% with a small delay compared to AES, while packet loss is 0.023% for Twofish and 0.077% for AES. Teknologi seluler menjadi kebutuhan masyarakat modern di era digital, kemudahan berbagai proses pengelolaan informasi menjadi pendorong pertumbuhan pengguna seluler. Untuk mendukung konektivitas berlanjut, Mobile IPv6 (MIPv6) menjadi solusi sekaligus penerus teknologi Mobile IPv4 saat ini. Mobilitas akses layanan yang luas dilakukan melalui Internet, namun aktivitas di jaringan Internet membuat kita rentan terhadap berbagai tindakan jahat. Masalah seperti keamanan informasi serta overhead yang tinggi menjadi perhatian komunikasi seluler. Untuk meningkatkan performa keamanan MIPv6, diperlukan metode enkripsi saat proses pensinyalan yang akan membangun asosiasi keamanan. IPsec menawarkan layanan keamanan di lapisan jaringan. Terdapat 3 algoritma enkripsi dalam IPsec, yaitu DES, 3DES, dan AES. Algoritma DES sudah tidak direkomendasikan karena faktor keamanan, sementara AES masih belum optimal dalam jaringan nirkabel. Penelitian ini bertujuan untuk menganalisis performa sistem keamanan dan kualitas layanan MIPv6 dengan algoritma AES dan Twofish. Algoritma Twofish merupakan kandidat yang memiliki potensi performa yang lebih baik. Eksperimen berhasil menyimpulkan bahwa performa algoritma Twofish unggul berdasarkan keamanan serangan kriptoanalisis dengan waktu cracking dua kali lebih lama dibandingkan AES. Dari segi kualitas layanan, Throughput Twofish memiliki kenaikan 20,05% dengan delay yang kecil dibanding AES sementara packet loss masing-masing 0,023% pada Twofish dan 0,077% pada AES.

Efficient incremental data backup of unison synchronize approach

Data communication and computer networks have enormously grown in every aspect of businesses. Computer networks are being used to offer instantaneous access to information in online libraries around the world. The popularity and importance of data communication has produced a strong demand in all sectors job for people with more computer networking expertise. Companies need workers to plan, use and manage the database system aspects of security. The security policy must apply data stored in a computer system as well as information transfer a network. This paper aimed to define computer data backup policies of the Incremental backup by using Unison synchronization as a file-synchronization tool and load balancing file synchronization management (LFSM) for traffic management. The policy is to be able to perform a full backup only at first as a one time from obtaining a copy of the data. The easiest aspect of value to assess is replacement for restoring the data from changes only and processing the correct information. As a result, the new synchronization technique was able to improve the performance of data backup and computer security system.

Network Software Vulnerability Identifier using J48 decision tree algorithm

Abstract: Software vulnerabilities are the primary causes of different security issues in the modern era. When vulnerability is exploited by malicious assaults, it substantially jeopardizes the system's security and may potentially result in catastrophic losses. As a result, automatic classification methods are useful for successfully managing software vulnerabilities, improving system security performance, and lowering the chance of the system being attacked and destroyed. In the software industry and in the field of cyber security, the ever-increasing number of publicly reported security flaws has become a major source of concern. Because software security flaws play such a significant part in cyber security attacks, relevant security experts are conducting an increasing number of vulnerability classification studies, this project can predict the software vulnerability means the software's in the device are authorized or not and who scan the system multiple times, to identify the vulnerability j48 decision tree algorithm was used. Keywords: Malicious assaults, catastrophic losses, Security flaws, Cyber security, Vulnerability Classifications.

Insights for Systems Security Engineering from Multilayer Network Models

AbstractNext‐generation approaches for systems security engineering will need to address challenges stemming from complex risk environments, innovative adversaries, and disruptive technologies—particularly for high consequence facilities (HCF). Key insights from complexity, systems, and network theories—and support from subject matter expert (SME) elicited empirical data—support using a multilayer network model for HCF security to address these challenges. Early results of modeling HCF security system performance in terms of multilayer network characteristics seemed to meet the needs expressed in the SME data, provide a suite of mathematically tractable metrics to describe more complex security behaviors, and align with characteristics related to incorporating systems security engineering into the future of systems engineering.

Assessing the Efficiency of Security and Safety System in Yemen’s Hospitals (Case Study of Hospitals in Hadramout).(Dept.A)

This paper discusses the importance of having appropriate methodology to evaluate security and safety system that provide a safe environment for individuals and users in health care facilities. Analyses show a defect in the design and function, which represent the problem of this study. This paper aims to develop a global methodology for evaluate performance of the system for selected sample of hospitals in Hadramout. Series analyzes was made in a paper earlier[8] determined the most important system criteria that should be provided to achieve the optimal performance of the system, which helps to formulating a appropriate system elements to requirements of Yemen environment depending on safety system approved by the World and Pan American Health Organizations. This paper analyzes functional design of hospitals to determine the defected, protected and expected risks zones. In addition, to determine the relative weights (local scale) depend on analyzing results of questionnaires opinion addressed to a selected sample of users and work crews in selected hospitals in Hadramout. In order to evaluate performance of security and safety system to these hospitals. In addition, be generalized in Yemen hospitals a line with the nature of the local environment of the study area.

Novel System Design and Implementation for the Smart City Vertical Market

The aim of this article is to investigate a new system for the smart city vertical market, highlight the smart city vertical market's vitality, and promote smart city development. While constructing smart cities under the support of IoT, cloud computing, and the Internet, smart cities' vertical market system is modeled from the economy's viewpoint. The model's security and confidentiality are analyzed via simulation. The details on the vertical market are explored from the economic perspective. System performance analysis proves the built system's security performance for data transmission under six different channels. From the vertical market's perspective, the total joint operation mode sales exceed those of self-operation mode. The sales volume of every supplier is lower than the self-operated retailer. From the operating costs' perspective, self-operated retailers have the advantage of higher retail prices and lower unit operating costs compared to joint-operated suppliers. Therefore, the built system has good stability, and the self-operated retailers have more advantages from the vertical market perspective, which can provide an experimental reference for the construction of smart cities and economic development in the future.

Data Science in Face Recognition System Based on BP Neural Network

With the rapid development of economy, people have higher and higher requirements for the performance of security system. The traditional access control system based on face recognition based on deep learning has gradually replaced the traditional access control system. This paper mainly describes the concepts of BP neural network and face recognition, and improves and designs a face recognition system. The detection accuracy of the system reaches 97.8%, the false detection rate is 0.8%, and the leakage rate is 0.8% the detection rate is 1.4%, and the accuracy of face recognition is 96.7%, which can well meet the requirements of contemporary face recognition.

Secrecy performance of multi-user multi-hop cluster-based network with joint relay and jammer selection under imperfect channel state information

In this paper, we propose and analyze two important secure performance metrics of cluster-based multi-hop relay networks with friendly jamming nodes under the presence of multi-eavesdroppers in condition of imperfect channel estimation. At each hop, partial relay and jammer selection are used to improve the network security. The close-form expressions of secrecy outage probability and the probability of non-zero secrecy capacity of the considered system are derived as criteria to evaluate system security performance. The system performance is analyzed for Rayleigh fading channels with imperfect channel state information. Monte Carlo simulations are also performed to verify the correctness of the analytical results.