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220 articles for “Identity based Security”
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Cascade of Gait Recognition with Surveillance System in a Client-Server Environment
Abstract: ABSTRACTThis paper presents a system consisting of the application of gait recognition, a physiological biometric applied in a client-server environment. Now-a-days security plays a very important role in almost all fields and most of the public places like banks, airports, railway stations, etc., which require more security as the thieves and criminals are very intelligent whose objective is to create problems for human life and many untoward incidents. The gait …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 26–36 Read article
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Enhancing Security and Privacy in Smart Factory: A Blockchain Based Solution
Abstract: The manufacturing industry is currently experiencing a transformative shift due to the rise of smart factories, propelled by interconnected devices and automated systems. However, this integration of diverse technologies within smart factories introduces significant concerns regarding security and privacy. This research paper thoroughly investigates the vulnerabilities and threats prevalent in smart factory ecosystems, shedding light on the potential risks associated with centralized data storage and communication channels. The study emphasizes …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 1, 2024 · pp. 13–20 Read article
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Development of Hybrid Detection and Alert mechanism for Women Safety using AI
Abstract: The integration of AI-based smart surveillance systems in enhancing women's safety and security has been a focal point of research and development. This literature study explores the impact of information technology advancements, particularly in the realm of mobile applications, GPS tracking, and social media platforms, on improving women's safety. Noteworthy contributions include the development of apps such as Circle of 6 and Be Safe, which offer women immediate access to …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 1, 2024 · pp. 36–46 Read article
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Watermarking Analysis of Digital Image Using Various Approaches: A Review
Abstract: AbstractFor present security to the digital media on the net the very beneficial generation is, virtual watermarking (DW). Watermark is an image or pattern in document which is used to identify data authentication and data integrity. The user can check the watermarked records with the watermark key and watermarking extraction system. The different techniques of watermarking reviewed in this paper are: least significant bit (LSB), robust, discrete cosine transform (DCT), …
Published in Journal of Open Source Developments · Vol. 4, Issue 1, 2017 · pp. 30–36 Read article
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The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders
Abstract: Artificial intelligence (AI) has significantly changed many aspects of medical care, particularly the early evaluation, therapy, and management of neurodegenerative illnesses like Alzheimer's, disease, Parkinson's diseases, and Huntington's diseases. The current research explores the application of AI in mental health with respect to neurological disorders, especially advancements in cognitive examination, neuroimaging analysis, predictive modeling, and customized therapy modalities. Artificial intelligence (AI) systems have shown enormous potential in detecting minute biomarkers …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article
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Internet of Things based Car Parking System using ESP- 32 and Blynk
Abstract: The security of the vehicles at the populated places has always been an area of concern. At many crowded places where a number of vehicles enter and exit every day, the security has to be taken into account so that chaos is reduced by using an efficient model. This paper shows the implementation of an Internet of Things based car parking system which consists of electronic components such as infrared …
Published in Current Trends in Signal Processing · Vol. 12, Issue 1, 2022 · pp. 21–28 Read article
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A Thorough Examination of How Artificial Intelligence is Affecting the Transformation of Agriculture in India and Throughout the World
Abstract: By providing creative ways to increase crop yields, maximize resource usage, and advance sustainability, artificial intelligence (AI) is revolutionizing agriculture. AI technologies, such as machine learning, computer vision, and robotics, are being increasingly used in precision farming, crop monitoring, disease detection, and decision-making as the global agricultural sector faces pressing challenges like food security, population growth, and climate change. AI enables farmers to make data-driven decisions, optimize irrigation systems, monitor …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 39–45 Read article
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Fortifying the Cloud: AI-Driven Security Paradigms and Evolving Threat Defenses in Modern Cloud Computing
Abstract: Organizations worldwide are raising their concerns about security maintenance while cloud computing expands rapidly to serve as a digital transformation foundation. The study explores modern cloud security patterns while also evaluating how artificial intelligence modifies the identification and evaluation of complex cyber threats along with their prevention methods. New security threats such as insider operations and DDoS attacks and data breaches alongside insecure APIs can be detected through machine learning …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 34–40 Read article
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Enhanced Graphical Password System with Intelligent User Identification Model
Abstract: Data and authorization security needed everywhere. In case dealing with huge number of data in a cloud server, secured logging is must. This is due to the fact that cloud servers are freely accessible from anywhere at any time. As a result, data should be well-protected against intruders, hackers, and unauthorized users. Furthermore, because log data files frequently contain sensitive information, log records' secrecy and privacy are equally vital. At …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 3, 2021 · pp. 23–29 Read article
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User App Segmentation for Better Understanding of Reviews and Password Resets Using Regression
Abstract: In today’s digital landscape, understanding users’ needs and behaviors is key to improving app experiences. This paper focuses on how we can better understand user reviews and password resets in mobile apps through a method called user segmentation. By dividing users into groups based on their feedback and password reset patterns, we aim to uncover insights that can enhance app design and security. Using a mix of user reviews and …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 1–9 Read article
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An Enhance Approach to Mitigate the Impact of Black Hole and Gray Hole Attacks in AODV Routing Protocol
Abstract: Wireless network has become more and more popular during the past decades. A mobile ad hoc network (MANET) is integrating of mobile nodes, in which the packets are forwarded without any centralized network authority. The devices are connected via wireless medium. Due to this, characteristic security is high risk because packets are easily trapped in the network. There is no pledge of attack free communication due to heterogeneity in the …
Published in Journal Of Network security · Vol. 4, Issue 2, 2016 · pp. 9–16 Read article
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IoT-based Black Box Monitoring for Vehicle Crash Data Analysis and Improving Safety
Abstract: Road accidents are a significant global concern. This project proposes an Internet of Things (IoT)-based black box monitoring system for vehicles to enhance road safety through comprehensive crash data analysis. The system expands on traditional black boxes by incorporating various sensors (accelerometers, gyroscopes, GPS) and potentially in-cabin cameras (with privacy safeguards). This data offers a deeper understanding of crash dynamics, including impact severity, vehicle motion, and safety system deployment timing. …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 3, 2024 · pp. 7–13 Read article
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Enhancing Smart Grid Security: Machine Learning Approaches for Detecting Anomalies
Abstract: The integration of Information and Communication Technology (ICT) with traditional electric grids has led to the development of smart grids. However, this integration has also increased the risk of anomalies, such as cyber-attacks, metering fraud, electricity theft etc. False Data Injection Attacks are a class of cyber-attacks against power grid monitoring systems, where adversaries can inject false data to manipulate the grid’s operation. Metering frauds pertain to malicious customers com- …
Published in Trends in Electrical Engineering · Vol. 14, Issue 2, 2024 · pp. 10–19 Read article
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Smart Parking Solutions: Optimizing Urban Mobility Through Real-Time Apps
Abstract: The changing nature of urban transport has made the city more complicated, with a spiking number of vehicles and a lack of parking facilities. Smart Parking Solutions provide innovative solutions to solve this problem by using real-time information, mobile apps and IoT. The present study presents the aspect of integrating smart parking systems into the urban transportation systems and the role of real-time apps in maximizing parking efficiencies in relation …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 36–61 Read article
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Analyzing Barriers to Digital Procurement in Polymer Composites Supply Chain Using ISM for Sustainable Transformation
Abstract: The adoption of e-procurement in the polymer and composites industry presents a transformative opportunity to enhance supply chain efficiency, reduce material waste, and support sustainable engineering practices. However, industries face significant barriers in transitioning from traditional procurement to digital systems, particularly in sourcing specialized materials such as epoxy resins, bio-based polymers, and hybrid composites. This study employs Interpretive Structural Modeling (ISM) to identify, analyze, and prioritize eleven critical barriers affecting …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 512–521 Read article
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On Reconnection of Broken Ridges and Binarization for Fingerprint Images
Abstract: With the increase in security threats, use of biometrics for person identification and authentication has been increased. One of the oldest and most widely used forms of biometric is, Fingerprint. Since it is mainly used in forensic science, accuracy in the fingerprint identification is highly important. Most of the fingerprint identification systems are based on minutiae matching and a critical step in correct matching of fingerprint is extracting minutiae reliably …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 2, 2014 · pp. 1–12 Read article
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Automated Vehicle Entry Monitoring System Using YOLOv5
Abstract: This project showcases an innovative You Only Look Once (YOLO) object detection model-based Automated Vehicle Entry Monitoring System for community gates. By using YOLO, the system transforms conventional access control paradigms by accurately and in real-time detecting vehicles that are seeking to gain entry. Unlike traditional approaches, the project leverages YOLO's effectiveness in vehicle recognition, classification and Number Plate Detection to improve residential security. By providing communities with a cutting-edge …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 2, 2024 · pp. 34–38 Read article
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A Review of AI-Based Intrusion Detection Systems for Mobile Ad Hoc Networks (MANETs)
Abstract: Mobile Ad Hoc Networks (MANETs) comprise wireless networks that lack any conventional infrastructure . Their chief features include highly changing network topologies, lack of centralized administration, and open nature of communication, which collectively result in making MANETs of the wireless kind very susceptible to a diverse range of cyber-attacks like blackhole, greyhole, wormhole, flooding, Sybil and denial-of-service (DoS) among others. Conventionally, Intrusion Detection Systems (IDS) relying on static rule-based methods …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Secured Light Weight Methodology for Wireless Sensor Network
Abstract: Restriction-specific wireless sensor networks need secure and efficient communication mechanisms. In this document, we propose a Light Security methodology that meets both requirements. It provides authentication and authorization of sensor nodes with a simple scheme of secure exchange of keys. It also provides data confidentiality and protection mechanism against intrusions and anomalies. To address security vulnerabilities in a wireless sensor network, this document proposes a safe lightweight methodology that takes …
Published in Journal Of Network security · Vol. 6, Issue 2, 2018 · pp. 15–21 Read article
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Animal/Object Recognition and Monitoring
Abstract: This study focuses on teaching a computer to identify leopards in images through a process called Object Detection and Image Recognition. We created a special set of pictures (dataset) containing thousands of leopard images. Using a small camera module called ESP32 CAM, we trained the computer to recognize leopards by comparing the images it captures with the ones in the dataset. The results were obtained using a Convolutional Neural Network …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 1–6 Read article