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220 articles for “Identity based Security”
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Quantum Error Correction on Cryptography
Abstract: This article introduces novel concepts in quantum error correction and cryptography. It explores “approximate quantum error correction” (AQEC), which relaxes the requirement for perfect error correction in quantum systems. AQEC specializes in creating codes tailored to specific types of noise models. The study establishes a universal, near-optimal recovery map for AQEC, simplifying the identification of effective approximate codes. In the realm of noisy-storage cryptography, the research envisions secure two-party cryptographic …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 18–23 Read article
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Fluid Dynamics of a Stressed Freshwater Lens: Integrated Flow Modeling and Pathways for Material-Centric Interventions in Khadir Island, Gujarat
Abstract: This study applies principles of fluid dynamics and porous media mechanics to analyze the behavior and sustainability of the freshwater lens in Khadir Island, an arid sedimentary island in Gujarat, India. We develop an integrated fluid flow model that couples surface hydrology with aquifer dynamics to quantify recharge fluxes, extraction stresses, and hydraulic responses. Using 11-year hydro-meteorological data (2011–2021) and sectoral demand projections, we characterize the island’s water budget through …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 12–29 Read article
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Secure Forge: Deepfake Image Detection Using Vision Transformers
Abstract: Deepfake technologies have become a major risk to the credibility and trustworthiness of digital visual information. Using powerful generative models like GANs and autoencoders, deepfakes can generate highly realistic fake videos and images, resulting in misinformation, identity theft, and public loss of trust in digital media. Classic Convolutional Neural Networks (CNNs) while being highly effective in initial-stage, deepfake detection tend to be limited by their local receptive fields and dependency …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 32–45 Read article
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Enhancing LAN Security Using Machine Learning
Abstract: The modern Local Area Network (LAN) is a critical component of any organization's infrastructure, facilitating communication, resource sharing, and access to the wider internet. However, this connectivity also brings inherent security risks. Traditional security measures, relying on signature-based detection and rule-based systems, are increasingly struggling to keep pace with the evolving sophistication of cyberattacks. This is where Machine Learning (ML) offers a powerful alternative, enabling proactive threat detection and enhanced …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 07–16 Read article
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AI Based Dental Care Solution System
Abstract: The AI-Based Dental Care Solution System is a web-based healthcare application developed using the MERN stack (MongoDB, Express. js, React.js, and Node.js) and integrated with Artificial Intelligence techniques to support early and accessible dental self-assessment. The system assists users in preliminary dental consultation by collecting symptoms such as tooth pain, sensitivity, swelling, bleeding gums, and bad breath through both structured forms and a conversational chatbot interface. Using Natural Language Processing …
Published in Research and Reviews: A Journal of Dentistry · Vol. 17, Issue 2, 2026 Read article
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True Request–Fake Response: A New Trend of Spear Phishing Attack
Abstract: Abstract: Phishing is a serious concern on internet. Current anti-phishing solutions identify scamming behaviour during one stage of communications between both users. They rely only on static features related to the attacker email on that stage to lure the potential victims. This paper exposes a new trend of spear-phishing attack, namely True Request–Fake Response (TR-FR), which exploits cross-communications among messaging clients as well as multi-stage interactions between the victim and …
Published in Journal Of Network security · Vol. 7, Issue 3, 2019 · pp. 1–17 Read article
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Cybersecurity Innovations in Industrial Control Systems
Abstract: Industrial control systems (ICS) are essential for automating and managing industrial processes across a broad spectrum of sectors, including energy, manufacturing, transportation, and water treatment. Securing these systems is essential to avoid disruptions that could lead to significant economic losses and safety risks. Recent advancements in ICS cybersecurity encompass several key areas that collectively aim to bolster the security and reliability of these critical infrastructures, thereby enhancing industrial safety. Enhanced …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 2, 2024 · pp. 15–19 Read article
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Data to Diagnosis: A Systematic Review of AI/ML in Healthcare
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are fast revolutionizing the diagnosis of healthcare by augmenting accuracy, speed, and efficiency. AI/ML technologies facilitate earlier and more accurate disease identification with advanced algorithms for image processing, predictive modelling, and pattern recognition, frequently outperforming conventional diagnostic techniques. This review delves into the key contribution of AI/ML in contemporary healthcare, such as its use in clinical data analysis, imaging reports, and patient histories …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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Biometric Revolution in Automotive Security: Advancing Vehicle Protection Through Bio-Authentication Systems
Abstract: Concerns about security are rising as a result of the quick development of automobile technology and the rise in car theft and illegal entry. Both contemporary smart key solutions and older key-based systems have flaws that call for stronger security measures. By utilizing distinct physiological and behavioral characteristics, biometric authentication offers a novel way to improve vehicle security. Vehicles can provide tailored and extremely secure access control systems by combining …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 12–19 Read article
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Camera-based Anti-theft Surveillance and Monitoring System
Abstract: Abstract: This paper presents a real-time smart door gadget for domestic safety. Most of the proposed clever home structures try to convey answers for this safety hassle, but lots of those structures use several sensor devices. With the increasing safety issues, it is important to apply new technology. The Internet of Things is one of the new technologies nowadays used in home automation system. Raspberry Pi is a strong and …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 3, 2019 · pp. 1–4 Read article
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Innovative Secure Public Ration Distribution Using Machine Learning
Abstract: The proposed system aids in controlling malpractices that are present in ration shops by replacing manual work with automatic systems based on machine learning. The ration distribution system is automated by using machine learning algorithms. Once the consumer is validated by password, the system will provide the customer information like how many people’s rations are permitted to their account, how many rations will be provided, and on which day the …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 3, 2024 · pp. 25–30 Read article
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Blockchain-Enabled E-Voting Systems: Implementation Challenges and Opportunities
Abstract: The adoption of blockchain technology in electronic voting systems is increasingly drawing interest because of its ability to enhance transparency, strengthen security, and ensure the reliability of digital voting processes. This study provides a comprehensive study of existing research on e-voting systems that leverage blockchain technology. The study explores various key research concerns, including the advantages, challenges, and impacts of such systems as well as technologies and implementations, and identifies …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 9–15 Read article
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Cybersecurity Early Detection Algorithms for Threats
Abstract: Cybersecurity plays a vital role in protecting digital systems, networks, and data from unauthorized access, misuse, and cyberattacks in an increasingly interconnected world. As reliance on internet-based technologies continues to grow, the frequency and sophistication of cyber threats have also increased, making effective cybersecurity strategies essential. Cybersecurity encompasses a comprehensive framework that integrates technological solutions, organizational processes, and human awareness to ensure the confidentiality, integrity, and availability of information. Key …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 31–37 Read article
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Secured and Smart Rationing for Public Distribution System Using RFID and GSM
Abstract: The paper deals with the automatic rationing for public distribution system. Nowadays most of the people having a ration card to buy the materials from the ration shops. They will issue the materials through weighting system with the help of humans. But in this system having two draw backs, first one is weight of the material may be inaccurate due to human mistakes and secondly, if not buy the materials …
Published in Journal of Microcontroller Engineering and Applications · Vol. 2, Issue 2, 2015 · pp. 21–28 Read article
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Malware Detection Using Data Mining
Abstract: In the digital world, everything is getting digitalized. Mobile devices, such as smartphones and handsets, are becoming increasingly popular, increasing criminals' appeal as targets for mobile malware. Consequently, in order to properly identify mobile malware, an antimalware detector plays a significant role. Prior to this, we concentrated on developing a behavioural analysis based on an ontology. To learn more about mobile malware, to assist end users in using their mobile …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 3, 2022 · pp. 9–13 Read article
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A Study of Cloud-Enabled Deep Learning for Monitoring and Predicting Soil Health in Agriculture
Abstract: Soil health is a critical factor in ensuring sustainable agricultural practices and food security. Traditional methods for soil health assessment are often time-consuming, localized, and lack scalability. This study explores the integration of cloud-enabled deep learning techniques to monitor and predict soil health efficiently. Leveraging data from IoT sensors, satellite imagery, and lab-based analyses, a cloud-based framework is proposed to process and analyze soil health parameters such as pH, moisture …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 8–16 Read article
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RFID Technology and Its Use in Libraries
Abstract: Radio frequency identification (RFID) is the important in libraries. In view of this present paper examine the RFID and its use of libraries. The study is based on secondary sources of data. The paper highlighted RFID technology in libraries and its use. In library these technology useful for library users and satisfaction of readers. This system is important for users such as books, journals, reports and different aspects of libraries. …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 1, 2019 · pp. 446–449 Read article
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Sensor Based Agriculture – An approach Towards Better Agriculture Management
Abstract: Agriculture plays a crucial role in India's economy, and nowadays, it has become more data-driven and advanced. This paper discusses how sensors are being used in agriculture to make it smarter and more precise. Different types of sensors are available for specific tasks in farming, like checking soil conditions, monitoring crop status, managing irrigation, detecting insects, and studying environmental effects. Farmers are benefiting from these sensors throughout the entire crop …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 2, 2023 · pp. 1–8 Read article
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Smart Bank Locker Security System
Abstract: This paper introduces a smart bank locker security system that aims to improve the reliability and security of locker access in banks. The system has a Raspberry Pi 4B as the controller, with face detection and fingerprint scanning used for dual-factor authentication. The fingerprint scanner and facial recognition unit identify the user's identity prior to access. After successful verification, a relay is triggered to open the locker. A liquid crystal …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 2, 2025 · pp. 31–36 Read article
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An Improvement of Voltage Stability by Generator Bus Rescheduling
Abstract: This paper focuses on assessment and improvement of voltage stability by Georgeoschrin’s theorem using new evolutionary TLBO and PSO algorithm. In today’s environment, voltage stability maintained without sacrificing the power system parameters is really a herculean task. Generally, eigen value of reduced Jacobian matrix or Jacobian matrix of N-R base load flow analysis is well thought-out as voltage stability indices for weak bus identification. Here, the diagonal elements reduced Jacobian …
Published in Trends in Electrical Engineering · Vol. 7, Issue 2, 2017 · pp. 1–10 Read article