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123 articles for “Network Attacks”
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A Survey On Leveraging Machine Learning for Phishing Attack Prediction and Detection
Abstract: Phishing is one of the biggest cybersecurity threats that exploits user trust by masquerading as a legitimate site or email to steal personal and sensitive information. A state- of-the-art-phishing detection systems survey, this review showcases the evolution from traditional list-based techniques, including blacklisting and whitelisting to machine learning and deep learning models. While list-based systems cannot evolve to detect new and zero-day attacks, the ML algorithms of Decision Tree, Random …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article
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Emerging Threats in Wireless Network Security: A Contemporary Analysis
Abstract: A crucial component of the architecture of contemporary information technology is wireless network security, as wireless communications .Given the continued importance of wireless communication in today's information technology architecture, wireless network security Since wireless communication is becoming more and more essential to our everyday lives, wireless network security is an essential component of today's information technology infrastructure. An overview of the main ideas, problems, and solutions for protecting wireless networks …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 2, 2023 · pp. 1–9 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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HIDDEN MARKOV MODEL FOR DETECTION AND PREVENTION OF SQL INJECTION ATTACKS
Abstract: Web application have become un avoidable part in day to day life. Online activities such as banking, ecommerce, social networking etc., and these application stored in a back end of the database. It is very sensitive and confidential data, as because it might be get attacked. So security of Web database becomes an important thing. Most of the existing system have drawback such as it take more resources and times, …
Published in Journal Of Network security · Vol. 6, Issue 1, 2018 · pp. 15–19 Read article
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The Evolution of Bio Crypt Keys: From Concept to Implementation
Abstract: With the rapid increase in data exfiltration due to cyber-attacks, Covert Timing Channels (CTCs) have emerged as a significant and sophisticated network security threat. These channels exploit inter-arrival times of data packets to exfiltrate sensitive information from targeted networks. Detecting CTCs increasingly relies on machine learning techniques, which use statistical metrics to differentiate between malicious (covert) and legitimate (overt) traffic flows. However, as cyber-attacks become more adept at evading detection …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 38–45 Read article
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Optimized Residual Neural Network for Audio Spoof Detection in Speaker Verification Systems
Abstract: The Automatic speaker verification system is a type of biometric technology that utilizes speech to determine if a person is an authentic user or not. Unfortunately, such systems can be susceptible to audio-spoofing attacks. The proposed work deals with this problem of Audio Spoofing by employing Residual Networks to determine if a voice signal is bonafide or not. A comparative study of Mel-frequency Cepstral coefficients (MFCC), Constant Q Cepstral Coefficients …
Published in Current Trends in Signal Processing · Vol. 12, Issue 2, 2022 · pp. 19–32 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
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IOT: The Future Beneath
Abstract: AbstractThe IoT is a brilliantly associated gadgets and frameworks which included keen machines cooperating and speaking with different machines, situations, articles and foundations and the Radio Frequency Identification (RFID) and sensor network technologies will ascend to address this new difficulty. This paper reviews the IOT applications, technologies etc.Keywords: Secure attacks, grid authentication security algorithms, security primitivesCite this ArticleJyoti Sharma, Shalini, Pankaj Kumar. IOT: The Future Beneath. Journal of Telecommunication, Switching …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 5, Issue 3, 2018 · pp. 20–24 Read article
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Quantum Key Distribution in Optical Fiber Communication: A Study
Abstract: The relentless march of technological advancements, particularly in the realm of quantum computing, stances a noteworthy threat to security of existing cryptographic systems. Traditional encryption methods, like RSA and AES, trust on mathematical problems considered computationally hard for computers. However, sufficiently powerful quantum computers could render these systems vulnerable to attacks, jeopardizing the confidentiality of sensitive data transmitted over optical fiber networks. This looming threat has spurred significant research and …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 1, 2025 · pp. 30–40 Read article
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Multi-Layered AI-Driven Paradigm Shift in IoT Ecosystem Security
Abstract: As the Internet of Things (IoT) continues to weave itself into the fabric of modern life – from smart homes and industrial automation to healthcare and urban infrastructure – the associated security vulnerabilities have become increasingly apparent. Traditional security mechanisms, often built on static rules and perimeter-based defenses, struggle to keep pace with the scale, heterogeneity, and dynamic nature of IoT ecosystems. In response, artificial intelligence (AI) has emerged as …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 1, 2026 · pp. 13–21 Read article
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Artificial Intelligence in Cybersecurity: Emerging Trends, Technological Advancements, and Future Directions for Cyber Defense
Abstract: Artificial Intelligence (AI) is revolutionizing the field of cybersecurity by automating complex security tasks, improving threat detection capabilities, and enhancing the precision of threat response mechanisms. With the rapid evolution of cyber threats such as malware, ransomware, phishing, and data breaches, conventional security systems are often insufficient to provide timely and accurate protection. AI, powered by machine learning algorithms and neural networks, enables the analysis of vast datasets to detect …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 103–112 Read article
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Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article
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Anomaly Based Intrusion Detection Using Machine Learning Techniques
Abstract: Detection of Cyberattacks/anomalies in a network to build an efficient Intrusion Detection System (IDS) is very important. A system called an intrusion detection system (IDS) monitors network traffic in order to find suspicious activity and sends out signals when it is noticed. Monitoring and data analysis are designed with the objective of finding any network or system intrusions. Machine learning methods can anticipate both known and unidentified attacks. This project …
Published in Journal Of Network security · Vol. 10, Issue 2, 2022 · pp. 1–8 Read article
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CHMOD LEACH: INNOVATIVE TECHNIQUE FOR CLUSTER HEAD SELECTION
Abstract: A wireless sensor network is the network that consists of multiple sensor nodes which helps to monitoring which makes it be used in vast number of areas. Sensor networks are used for large number of time and periodic updating is required. So main problem is to handle the collections and storing of huge amounts of data. The LEACH (Low Energy Adaptive Clustering Hierarchy) protocol provides a solution to this problem …
Published in Journal Of Network security · Vol. 6, Issue 1, 2018 · pp. 20–26 Read article
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Robustness of Deepfake Detection Systems Against Adversarial Attacks
Abstract: This paper explores a deep learning system to detect deepfake videos, a common type of fake media. With the use of sophisticated methods such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs), our system can reliably discern between authentic and altered videos. It analyzes both the images and the audio in videos to find signs of deepfake manipulation. We process video frames and audio, extract features with CNNs …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 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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A New Algorithm for Security in Cloud Computing
Abstract: ABSTRACTThis article provides a concise introduction to cloud computing and its relationship with security issues The forecast is cloudy with a good chance of performance improvements and meaningful connectivity. In this paper, we discus about a brief introduction to cloud computing and network security. We have also given a few security issues related to cloud computing.General Terms: Cloud computing, network security and related IssuesKeywords: Cloud computing, Saas, Paas, Iaas, security …
Published in Current Trends in Information Technology · Vol. 2, Issue 2, 2012 · pp. 1–6 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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An Efficient Secure and Security Authentication Scheme for Vehicular Ad-hoc Networks
Abstract: AbstractVehicular ad hoc networks (VANETs) are planned to be deployed within the next decennary to repair driver protection, stop clash, and provide traffic interpreter. Present years have supported an increasing interest in the security schemes for VANETs, as this territory was generally less investigated contrasted with different regions medium access and routing. In particular, efficient authentication of the messages in a VANET with other desirable security features has been heavily …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 5, Issue 1, 2018 · pp. 29–35 Read article
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Ethical Hacking: A Necessity
Abstract: In today’s era, our data is as valuable as money and sometimes more. This is the reason the fear of information being compromised by a cybercriminal worries everyone including the government, private industry and the everyday computer user. Cyber Crime is estimated to cost $6 trillion by 2021. Because of the increasing number of attacks, people need ethical hackers. The task of an ethical hacker is to find vulnerabilities and …
Published in Journal Of Network security · Vol. 8, Issue 2, 2020 · pp. 11–15 Read article