Design Of Security System Research Articles

Security System Design and Verification for Zero Trust Architecture

Security System Design and Verification for Zero Trust Architecture

Artifical Intelligence-Based Smart Security System Using Internet of Things for Smart Home Applications

This study presents the design and development of an AI-based Smart Security System leveraging IoT technology for smart home applications. This research focuses on exploring and evaluating various artificial intelligence (AI) and Internet of Things (IoT) options, particularly in video processing and smart home security. The system is structured around key components: IoT technology elements, software management of IoT interactions, AI-driven video processing, and user information delivery methods. Each component’s selection is based on a comparative analysis of alternative approaches, emphasizing the advantages of the chosen solutions. This study provides an in-depth discussion of the theoretical framework and implementation strategies used to integrate these technologies into the security system. Results from the system’s deployment and testing are analyzed, highlighting the system’s performance and the challenges faced during integration. This study also addresses how these challenges were mitigated through specific adaptations. Finally, potential future enhancements are suggested to further improve the system, including recommendations on how these upgrades could advance the functionality and effectiveness of AI-based Smart Security Systems in smart home applications.

Design of Automatic Security System Based Internet of Things at the Museum

This research aims to determine the procedures for developing an Internet of Things (IoT)-based Automatic Security System as a security device for museum objects and to test its feasibility based on user feedback in museums. The Design Thinking model used consists of five stages: Empathize (understanding the user’s perspective), Define (gathering information on the encountered problems), Ideate (generating innovative ideas), Prototype (creating a prototype of the obtained ideas, ensuring the functionality of each device feature, and validating the product through expert judgment for feedback and product revision), and Testing (evaluating the system’s feasibility using Usability standards based on ISO/IEC 9241-11, focusing on Effectiveness, Efficiency, and Satisfaction with user involvement). The research results indicate that the IoT-based Automatic Security System has met optimal outcomes based on Usability aspects, namely: the Effectiveness analysis showed a ratio above 100% with a Very Effective level of achievement; the Efficiency aspect analysis received user feedback with a device usage rate of 1.35 goals per second; and the Satisfaction analysis, using the System Usability Scale (SUS) questionnaire, scored 78.25, indicating an Excellent level, suggesting that the system is worthy of use.

Unveiling the nexus between energy storage and electricity markets in academic publications. A data-driven analysis of emerging trends and market dynamics using NLP, sentiment analysis and probabilistic modeling

Unveiling the nexus between energy storage and electricity markets in academic publications. A data-driven analysis of emerging trends and market dynamics using NLP, sentiment analysis and probabilistic modeling

Prototype Design of IoT-Based Real-time Monitoring and Security System for University Server Room

The server rooms consist of computing devices hosting essential data which is critical for the operation of universities. Ensuring server room environmental stability and security is vital to prevent data loss and service disruptions. This study presents the design of an IoT-based real-time monitoring and security system for university server rooms to help the IT staff monitor the conditions of the server room. The system aims to enhance server room management efficiency while mitigating risks associated with server room issues and unauthorized access. The research is conducted based on a prototyping model which integrates hardware and software. The main focus is on the construction of the prototype device as a monitoring tool to monitor the server room environment based on the sensor parameters. The prototype has sensors to detect temperature, humidity, smoke, flame, dust, and motion as well as a real-time camera to provide continuous environmental monitoring and intrusion detection. On the software side, the functional design is presented using Unified Modeling Language. Data collected by the sensors are transmitted to IoT platforms for further analysis and visualization, enabling remote monitoring and instant notifications. The research result is a hardware prototype designed with an IoT system that is potentially used to monitor the server room environment.

Design and development of face recognition-based security system using expression game as liveness detection

Face recognition as a security system has undergone significant developments, but challenges in live detection are still a major issue in preventing fraud. Liveness detection is a method that helps face recognition security more resistant to fraud. This research aims to address this issue by developing an innovative security system that integrates face recognition with a facial expression game, enhancing live detection and user engagement. The primary objectives are to ensure seamless integration, maintain a fun and challenging user experience, and demonstrate practical applicability. We applied a Waterfall method in our research to ensure a straightforward approach. We successfully applied this system for the door lock-unlock mechanism, simulating a restricted area. YuNet, a face detection model runs in the web interface and controls the NodeMCU to either lock or unlock the door. The study concluded 95% success rate from the participants in making facial expressions: Smile, Normal, and Sad. However, expressing Sadness within the 3-second timeframe posed some difficulties. The average duration for completing the mini-game was approximately 16.31 seconds from the start. The integration of a facial expression game as a liveness detection required careful design to balance security and user engagement that is fun to experience. This research underscores the significance of addressing current challenges in biometric security by integrating an interactive element into the live detection process. The developed system contributes to the field by enhancing the robustness and user experience of face recognition security systems, demonstrating potential for broader application in restricted access scenarios.

Physical Layer Security in RIS-NOMA-Assisted IoV Systems with Uncertain RIS Deployment

Reconfigurable intelligent surfaces (RISs), as an emerging radio technology, are widely used to expand the transmission distance and structure cascade channels to improve the performance of communication systems. However, based on the continuous development of wireless communication technology, as Internet of Vehicles (IoV) communication systems assisted with RIS and non-orthogonal multiple access (NOMA) can improve the overall transmission rate and system performance, the physical layer security (PLS) issue has gradually attracted attention and has become more and more important in the application of the system. In this paper, our aim is to investigate the potential threats for PLS, where an RIS is utilized in order to improve the security of wireless communications. In particular, we consider the non-fixed RIS location and wiretapping behavior of eavesdroppers on the data in this work, and further analyze the maximum safe-rate for above location assumptions. Numerical results reveal that RIS provides significant advantages on security performance, as well as providing a useful reference for the security design of future wireless communication systems, which verify the correctness of our analysis and the effectiveness of the proposed scheme.

Pitfalls in Machine Learning for Computer Security

With the growing processing power of computing systems and the increasing availability of massive datasets, machine learning algorithms have led to major breakthroughs in many different areas. This development has influenced computer security, spawning a series of work on learning-based security systems, such as for malware detection, vulnerability discovery, and binary code analysis. Despite great potential, machine learning in security is prone to subtle pitfalls that undermine its performance and render learning-based systems potentially unsuitable for security tasks and practical deployment. In this paper, we look at this problem with critical eyes. First, we identify common pitfalls in the design, implementation, and evaluation of learning-based security systems. We conduct a study of 30 papers from top-tier security conferences within the past 10 years, confirming that these pitfalls are widespread in the current security literature. In an empirical analysis, we further demonstrate how individual pitfalls can lead to unrealistic performance and interpretations, obstructing the understanding of the security problem at hand. As a remedy, we propose actionable recommendations to support researchers in avoiding or mitigating the pitfalls where possible. Furthermore, we identify open problems when applying machine learning in security and provide directions for further research.

Towards a transformation approach from SecureUML to ‎Alloy

In critical information systems, Role-Based Access Control (RBAC) has been frequently used. The specification of access control policies is an essential step in securing information systems. This article presents a transformative approach for addressing design challenges within these specifications using Model-Driven Architecture (MDA). A method is introduced for specifying and verifying model-based access control (RBAC) rules by combining SecureUML and Alloy, referred to as SecureUML2Alloy. This approach leverages transformation techniques based on metamodels to express the SecureUML source model in the Alloy target model. The SecureUML2Alloy framework allows for the generation of an initial Alloy code that can be extended with facts, functions, and predicates depending on the case. The transformative framework offers a reliable, automated mechanism for verifying security specifications in critical systems, promoting both theoretical and practical advancements in model transformation and formal verification. This method provides a pathway for future automation tools in secure system design and analysis, contributing to the reliability and security of software systems across multiple fields.

Design of a Safe Security System Based on Internet of Things Using Face and Fingerprint Detection

Traditional safe security systems usually use manual keys and a combination of numbers or passwords to open the safe. This system has several disadvantages such as being easy to break into, cumbersome, and the owner easily loses the key, even forgets the password needed to open the safe, which causes the safe to be unable to open. This research develops an Internet of Things (IoT)-based safe security system that uses two security options to open the safe, namely face detection and fingerprint authentication to increase security against unauthorized access with a prototype method. The system uses the ESP32-CAM to capture facial images and send them to the Telegram app for manual verification by the owner, while the fingerprint sensor ensures only registered users can open the safe. Arduino Uno serves as the main microcontroller to manage the integration between components such as ESP32-CAM, fingerprint sensor, relay, solenoid lock, LCD, and buzzer. The test results show that this system is effective in providing security to the safe through notifications, although it still relies on manual verification of faces via Telegram and requires a stable internet connection, and fingerprints that have been registered are successfully implemented. Further development is recommended to automate face recognition and improve the overall performance of the system.

A Programmable 2D/3D Anti‐Counterfeiting System via Shape Memory Polymer with Surface Wrinkle and Fluorescence

AbstractThe issue of counterfeiting has always been a major challenge in today's society, putting forward high requirements for anti‐counterfeiting technology. Here, a promising 2D/3D anti‐counterfeiting security system is developed based on anthracene‐functionalized poly(styrene‐butadiene‐styrene) (SBS‐CAN), which possessed the physical unclonable self‐wrinkling patterns, fluorescence, and shape memory behavior. By controlling the dimerization of anthracene groups with ultraviolet light and external pre‐stretched operation, 2D information with surface wrinkle and fluorescence is achieved, allowing for the design of security systems based on actual needs. Furthermore, 3D structures constructed based on the shape memory behavior can further be utilized to encrypt these 2D information, enhancing the security level and weakening the cloneable risk of surface wrinkle and fluorescence for further. This programmable 2D/3D anti‐counterfeiting system has multiple advantages over the commonly used fluorescent wrinkled tag or fluorescent shape memory label, providing an intelligent choice for high‐security information carriers.

Catastrophic risk: indication, quantitative assessment and management of rare extreme events using a non-expected utility framework

The paper develops a conceptual framework for the analysis and management of catastrophic risk. The framework serves to assess rare extreme events in systematic, quantitative and consistent ways. It dispenses with probabilistic extreme value theory, concentrating on descriptive statistics and simple probability distributions. Risk assessment is based on a recently developed axiomatic approach to non-expected utility preferences defined on the set of risky alternative courses of action available to an agent. The utility values of catastrophic risks are given an explicit algebraic representation, which shows them to be highly unstable (“elastic”) in the sense that they respond disproportionately to small perturbations of the decision outcomes and their probabilities. Various elasticity coefficients are defined for the outcome variables and utility preferences attached to them. They indicate whether a variable possibly takes on large negative values. The coefficients can also be defined as sample statistics and, thus, computed from observed data. The approach admits various applications to practical problems of disaster risk management. The applications include estimations of the effectiveness and cost-efficiency of risk management, the specification of limits of acceptance of catastrophic risk for regulatory purposes, and safety and security systems design and dimensioning.

Design and implementation of an intelligent building security system using Arduino GIGA R1 Wi-Fi

In the face of evolving security challenges, the integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies has become essential for modern building security systems. This paper explores the design and implementation of an intelligent building security system utilizing the Arduino GIGA R1 Wi-Fi, OV7670 camera, and Giga Display Shield, enhanced by Convolutional Neural Networks (CNNs). The system is designed to detect and respond to security threats in real-time, offering a proactive approach to building security. Leveraging the processing power of the Arduino platform and the image recognition capabilities of CNNs, the proposed system distinguishes between authorized and unauthorized access with a demonstrated accuracy of 92%. The study also identifies challenges, including performance in low-light conditions and communication delays, which affect the system's efficiency. Future work will focus on overcoming these limitations and further enhancing the system's functionality. The results indicate that the proposed solution is a promising step toward more intelligent and responsive building security systems, providing a foundation for further innovation in the field.

A detection and defense security system design for nuclear waste storage against stealth terrorists attack

Abstract The physical protection system (PPS) is one of the main systems used in nuclear facilities to protect these facilities from terrorist attacks, the possibility of bombing, sabotage, and theft. Installation of a security system for nuclear waste stores from the outside is necessary and very important for early detection and physiological deterrence greater than the internal security system. From this perspective, this work provides a solution for the protection of nuclear waste stores, which means detection and defense systems. This paper introduces an advanced security system and proposes a design for a detection and defense security system for nuclear waste storage against stealth terrorist attacks. The security system that is being suggested will have smart camera surveillance system, electric chock system, intense flashlight barrier, high-intensity sound barriers, and dual-side infrared rays. Three consecutive processes – detection, deterrence, and defense – will be operated around the building of the waste storage. The concept may be implemented by establishing an early detection system to detect any intrusion by terrorist attackers through a protected area surrounded by storage. The following step is deterring the attackers from completing their mission by installing advanced deterrence system and putting delay components along the path of their attack on the waste storage to complicate the mission. Then the defense system is operating to stop terrorist progress. Finally, the work make an evaluation process of the overall security system which has been designed by using EASI program to verify the accepted level of physical protection, maintain the validity and updates of security system components, and follow procedures, rules and requirements of the nuclear regulatory authority at the national level and meet the international IAEA concept and recommendations.

A proposed design for security system for nuclear waste warehouses against terrorists attack

A proposed design for security system for nuclear waste warehouses against terrorists attack

PENGEMBANGAN SISTEM KEAMANAN INFORMASI BERKELANJUTAN DENGAN TEKNOLOGI KRIPTOGRAFI

In the era of digitalization, ensuring the security of information has become a critical concern for organizations. This paper explores the development of sustainable information security systems by leveraging cryptography technology. The study begins with a comprehensive review of contemporary challenges in information security and recent advancements in cryptography. It then discusses the integration of cryptography into the design and implementation of information security systems to achieve sustainability goals. Furthermore, a case study is presented to illustrate the practical application of sustainable information security system development with cryptography. The findings emphasize the importance of incorporating cryptographic techniques in addressing security threats while promoting sustainable practices. This paper contributes to the understanding of how organizations can enhance their information security posture while embracing principles of sustainability.

Design and Implementation of Laser Security System using ESP32 Cam

Home security alarm systems are in high demand these days. Crime is on the rise and we need something to keep us safe. We all know about the high security systems on the market but not everyone can afford them. We are going to build a cost-effective electronic system that can detect the movement of intruders and trigger the alarm. Basically, When the Light of the laser diode cuts by an intruder it beeps an alarm and notify about the incident

Обзор основных компонентов, особенностей и решений безопасности автоматизированных систем управления технологическими процессами

The structure, main components and tasks of typical automated process control systems (ACS) are described. The main distinctive features of automated systems and their impact on the design of an information security system (ISMS) are determined. A brief overview of the problems of information security of automated process control systems is given. The basic principles that must be taken into account when creating.

Design of a Voice Recognition System Using Artificial Neural Network

Voice recognition systems have gained significant prevalence in our everyday lives, encompassing a wide range of applications, from virtual assistants on smartphones to voice-controlled home automation systems. This research paper presents a comprehensive design and implementation of a voice recognition security system employing artificial neural networks. The system's training involved a dataset consisting of 900 audio samples collected from 10 distinct speakers, enabling the resulting model to accurately classify the speaker of a given audio sample. For the implementation of the voice recognition system, Python serves as the primary programming language. The system leverages the Keras library, which offers a high-level interface for constructing and training neural networks, with efficient computation facilitated by the TensorFlow back-end. Additionally, the Flask framework, a Python-based web framework, was utilized to create a user interface in the form of a web application for the voice recognition system. To effectively train the artificial neural network, the audio data undergoes preprocessing, involving the extraction of relevant features from the audio samples. Subsequently, during the preprocessing phase, the audio data is labelled, and the neural network is trained on this labelled dataset to learn the classification of different speakers. The trained model was rigorously tested on a set of previously unseen audio samples, yielding an impressive classification accuracy exceeding 96%. The finalized model will be integrated into the web application, enabling users to upload audio files and receive accurate predictions regarding the speaker's identity. This paper demonstrates the efficacy of artificial neural networks in the context of voice recognition systems, while also providing a practical framework for constructing such systems using readily available tools and libraries.

Design of cloud data storage security and financial risk control management early warning system based on sensor networks

Design of cloud data storage security and financial risk control management early warning system based on sensor networks