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49 articles for “presentation attack”
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Fingerprint Liveliness Detection in Biometric Authentication: A Survey
Abstract: In the world of cyberspace, presentation attacks (PA) on biometric systems have grown to be a major worry. The review of the literature suggests that these systems are more susceptible to spoofing or presentation attacks (PAs), which frequently cause the authentication or identification system to completely fail. To combat against presentation attacks (PAs), the presentation attack detection (PAD) or anti spoofing methods have been developed to validate the liveness of …
Published in Journal Of Network security 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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Comparative Study of Facial Spoofing Detection using CNN Architecture
Abstract: Facial recognition systems face a high risk of security breach due to various facial spoofing attacks. This challenge was addressed by the study of several deep learning models. This study proposes an idea to detect facial spoofing using deep learning architecture to differentiate live faces form various types of spoofed images/videos using different CNN models. In addition, the study seeks to strengthen security measured in facial recognition system demonstrating that …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 9–17 Read article
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Cell Membranes as Therapeutic Targets: Implications in Infectious and Metabolic Disorders
Abstract: This is a review of the crucial role played by cell membranes in health and disease with respect to their contribution to infectious and metabolic diseases. Dysfunction of membranes, such as membrane transporter changes and changes in lipid content, has been associated with a variety of diseases, including diabetes, cardiovascular disease, and cancer. The present therapeutic approaches are focused on attacking membrane constituents by disrupting the entry of pathogens or …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 47–53 Read article
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Investigation of Sulphate, Alkali and Carbonation Chemical attack in GGBS-Based Geopolymer Concrete and OPC Concrete
Abstract: This study presents a comparative evaluation of the durability of GGBFS-based Geopolymer Concrete (GPC) and OPC concrete in rapid carbonation, sulphate, and alkali environments. All samples were subjected to three severe conditions are carbonation at 4% CO₂, 25°C and 60% relative humidity, exposure to a 10% sodium sulphate (Na₂SO₄) solution, and immersion in a 10% sodium hydroxide (NaOH) solution for alkali resistance. The durability characteristics were evaluated by the compressive …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 13–35 Read article
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VHDL-Based Strategies for Protecting IoT Devices from Power and Electromagnetic Side-Channel Attacks: A Study
Abstract: The environment of the Internet of Things (IoT) is rapidly developing, linking billions of devices across a wide variety of disciplines. Furthermore, despite the fact that it provides an unprecedented level of convenience and efficiency, this interconnection also presents a fertile ground for security weaknesses. Side-channel attacks, also known as SCAs, are one of the dangers that pose a considerable risk. These attacks specifically target the cryptographic implementations that are …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 30–40 Read article
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ML Associated DoS and DDoS Attack Observation in Protection
Abstract: DoS and DDoS assaults are significant risks to the availability and integrity of online services and networks. Attack traffic might come from a variety of geographical regions, making it difficult to filter and neutralize the attack. DDoS attacks are far more sophisticated and powerful than DoS attacks. They use a network of compromised devices, known as a botnet, to launch a coordinated attack on a target. Monitoring and evaluating the …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 18–26 Read article
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A Review of Blocking Side-Channel Threats in Parallel Cloud Systems
Abstract: Side-channel attacks (SCAs) pose a critical security threat to parallel computing systems, particularly in shared cloud environments where multi-tenancy and resource contention create exploitable vulnerabilities. This study presents a comprehensive review of SCAs in parallel architectures, analyzing attack vectors such as cache-based exploits (e.g., Prime + Probe, Flush + Reload), timing attacks, power analysis, and network-based covert channels. We examine real-world cases including Spectre and Meltdown vulnerabilities that exposed fundamental …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 15–25 Read article
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The Prognostic Efficacy of Inflammatory Indicators in Determining the Cause of Multiple Sclerosis Exacerbation
Abstract: Multiple sclerosis (MS) is the most prevalent immune-mediated inflammatory disease affecting the central nervous system, presenting with diverse clinical symptoms and manifestations. This study investigates the diagnostic potential of the monocyte-to-lymphocyte ratio (MLR), red cell distribution width-to-lymphocyte ratio (RLR), and systemic immune-inflammation index (SII) in detecting MS attacks among relapsing-remitting MS (RRMS) patients seeking care in the emergency department (ED). The research focused on RRMS patients who presented to the …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 1, 2025 · pp. 1–8 Read article
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Navigating the Dual Edge: A Comprehensive Technical Survey of Security, Privacy, and Countermeasures in the Era of Artificial Intelligence
Abstract: Artificial Intelligence (AI) is seamlessly weaved into vital sectors such as self-driving cars, high-speed trading systems, and defense strategies, it has triggered a counterintuitive development in advanced cyber-attacks. This survey paper attempts to perform an in-depth technical analysis on “AI Attack Surface.” There are threats across three main vectors. Data Integrity Attacks focuses specifically examining ‘Clean Label’ poisoning and backdoor injection. Model Confidentiality Breaches is discussing the mathematics behind Model …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 Read article
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Unified Ensemble Techniques for Enhanced DDoS Attack Prevention and Detection
Abstract: Today’s world is entirely reliant on the internet. The internet is a worldwide information source that all users rely on, hence its accessibility is critical. There have been reports in recent years, particularly in the information and technology division of significant organizations worldwide, of data breaches where the terms denial-of-service (DoS) and DDoS are consistently present in the stolen material. Network security is seriously threatened by DoS attacks. They have …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 2, 2024 · pp. 20–27 Read article
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Enhancing IoT Network Security with Hybrid Deep Learning Classifiers for DDoS Attack Detection
Abstract: The security and operational dependability of Internet of Things (IoT) networks are seriously threatened by the growing susceptibility to Distributed Denial of Service (DDoS) assaults brought about by their rapid expansion. The intricacy and dynamic character of these advanced attacks can provide a challenge to conventional intrusion detection systems. This study presents a novel method for strengthening IoT network security by combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 1, 2026 · pp. 23–33 Read article
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Intelligent Polymer-Integrated Wearable Platforms for Sustainable IoT and Predictive Health Monitoring for Migraine Detection
Abstract: Migraine is a neurological disorder, and its effect on the global workforce is resultantly significant. However, the fact of the matter is the absence of notable technological breakthroughs and the fact that the technology presently available is reactive, meaning it tackles the symptoms of the attack after the attack has occurred. The requirement for this paper is, therefore, the provision of an innovative approach, and this paper will describe the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 946–960 Read article
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Cybersecurity of AI and IoT Integrated for Mechanical Industries
Abstract: By facilitating the concept of Industry 4.0, the intersection of artificial intelligence (AI) and the Internet of Things (IoT) has changed the mechanical industries. When combined, these technologies are advancing process optimization, predictive maintenance, real-time condition monitoring, and smarter automation. In order to give proactive system control and intelligent decision-making, AI algorithms mine large datasets generated via IoT devices for relevant patterns. In the meanwhile, IoT guarantees smooth communication between …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 27–33 Read article
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Enhancing Cyber Security in the Banking Sector Using Biometrics
Abstract: The fast-paced digital evolution within the banking industry has led to a substantial rise in the number of financial transactions conducted through online and mobile platforms. While this transformation has improved customer convenience and service accessibility, it has also exposed banking systems to a wide range of cyber threats, such as identity theft, phishing attacks, credential compromise, and financial fraud. Conventional authentication mechanisms, including passwords and personal identification numbers (PINs), …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 15–20 Read article
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Privacy and Security Enhancement in Mobile Ad Hoc Network (MANET) Using Information Hiding Techniques Based on Man-In-The-Middle Attack: A Review
Abstract: The mobile ad hoc network (MANET) is widely spread throughout the entire world for quick communication. MANET is a type of ad hoc network with specific features of independent direct connections between devices. The current MANET network is rapidly used in wireless communication in fast and easy access terms, but MANET has many weaknesses in privacy and security, which makes information leakage in unprotected communication. So, goals are the most …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 35–50 Read article
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Aerodynamic Analysis of Foliage Stimulated Airfoil Design for Enhanced Strength with Carbon Fibre-reinforced Polymer
Abstract: Ever since the beginning of aviation, there has been an unwavering desire to improve airfoil design in order to improve aircraft performance. This insatiable desire for improvement has driven innumerable aerodynamicists to create a diverse range of revolutionary airfoils. This research investigates a revolutionary method to airfoil design, inspired by the complicated structures and aerodynamic qualities of natural leaves. Using biomimicry, the project seeks to increase the performance and efficiency …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 560–616 Read article
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Phisherman: A Phishing Email Detection Browser Extension
Abstract: Phishing attacks continue to pose significant security risks, exploiting email as a primary vector to deceive users and compromise sensitive information. To counter these threats, Phisherman presents a sophisticated, real-time phishing detection system that integrates both rule-based methods and deep learning for heightened accuracy. Built as a cross-browser extension, compatible with Chrome, Firefox, and Edge through the WebExtension API, Phisherman combines traditional verification checks, such as DNS blacklisting, SPF, DKIM, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 99–105 Read article
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Robust Design of Subsonic Airfoil by Multi-Objective Six Sigma Approach
Abstract: It is well known that aerodynamic performance of a UAV is very sensitive to the wing shape and flight conditions, and inevitable uncertainties such as wing manufacturing errors and wind variations may lead to drastic deterioration in its aerodynamic performance. In the UAV wing design, therefore, it is required not to use the conventional design optimization approach considering only optimality of performance at the design point, but to use the …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 14–23 Read article
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IT Security and Intrusion Detection Systems: An Introduction
Abstract: This article deals with the current status of IT security in an industrialized country and one of the many approaches. The emphasis is on what are known as intrusion detection systems. These enable users to detect suspicious behavior and attacks in daily IT operations by analyzing data, resources, and network flows. Based on previous research, the different variants, available detection types, and their working methods are briefly explained and presented. …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 10–17 Read article