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43 articles for “malicious attackers”
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Bluetooth Technology: Security Issues and its Prevention
Abstract: Bluetooth is a new RF short range wireless personnel Area Networks (PANs) which is designed for wireless communication between different devices. Starting from the headset cable replacement it has been extended to support flexible ad-hoc networks. It is gaining increasing popularity and acceptance in the world today. The current data rate for Bluetooth is 1 Mbps. However, as Bluetooth technology is becoming widespread, vulnerabilities in its security are increasing which …
Published in Journal of Microwave Engineering and Technologies · Vol. 8, Issue 1, 2021 · pp. 25–30 Read article
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Application of Constraint Satisfaction framework to zero trust security Model
Abstract: The zero-trust era has dawned with the advent of security models which addresses the gap between established security models. As cyber-security risks are advancing with the various natures of attacks, the threat has to be minimized by application of robust security models based on mathematical foundations. This study attempts to rehash few challenges existing in popular trust computing models and tries to bring out the characteristic features of constraint satisfaction …
Published in Journal Of Network security · Vol. 10, Issue 3, 2022 · pp. 1–6 Read article
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Electronic Voting Machine
Abstract: This study proposes a complete overview of the voting machine, comparison and issues among the conventional system and EVMs. Voting in election forms the fundamental right of democracy which creates a bridge between the governments and governed. In the current scenario, because of successive advancement in voting methods with technology from ballot paper to EVMs and other methods reduces expense and time, and also increases security and trust of the …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 1, 2020 · pp. 32–41 Read article
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Role and Efficacy of Artificial Intelligence in Cyber-security
Abstract: The internet is growing and so is the cyber world, more and more people, companies, organizations and governments, etc., who were previously ignorant or just didn’t want to enter the digital world have now started to reap its benefits as technology advances and provides more solutions to the existing real-world problems. This has unfortunately also increased the number of attackers, whether they may be cybercriminals, hacktivists, sponsored attackers or an …
Published in Journal Of Network security · Vol. 11, Issue 3, 2023 · pp. 1–9 Read article
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Detection of Fake Request and Response using Certificates Information and IP Address of SDN
Abstract: Data communication in network facilitates access of the content stored at the remote servers using the IP address. In SDN (software-defined networking), these communications are monitored centrally to be out in network operation. The attackers can change the IP address and block the communication to authenticate services or certified IP address authorities generate security certificate to the remote servers. Attackers are also able to modify the host address of the …
Published in Journal Of Network security · Vol. 8, Issue 1, 2020 · pp. 1–10 Read article
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Securing AI: A Survey Addressing Cyber Threats Arising in Cyber Security Due to Artificial Intelligence
Abstract: In today’s ever-evolving technological landscape, the integration of Artificial Intelligence (AI) across various industries underscores the critical need for a robust cybersecurity framework. This comprehensive survey delves into the pressing necessity of safeguarding AI systems against cyber threats. Recent incidents have highlighted the alarming susceptibility of AI to malicious attacks, showcasing the potential repercussions of compromised systems. These attacks range from data manipulation to privacy infringements, posing significant risks to …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 41–49 Read article
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Cyber Threats Unveiled: From Terrorism to Warfare
Abstract: The paper offers a detailed study of cyber security intimidations, cyber extremism, and cyber warfare in the worldwide context. It touches upon the progress of cyber intimidations from discrete hackers to state-supported actors, exploratory mutual attack vectors such as malware and phishing. The conversation probes into the features of cyber extremism and the inspirations driving such actions. Besides, it clarifies the idea of cyber warfare, as well as strategies and …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 1, 2025 · pp. 7–18 Read article
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Wireless Sensor Network: Qualitative Analysis of Diverse BlackHole Detection Plans
Abstract: AbstractWireless sensor network is a mesh of sensor nodes deployed over an area of interest. In wireless sensor network safety plays a critical role. It is also a key concern area imparting an effective challenge to the researchers across the world to find a powerful answer in terms of a protection mechanism closer to the problem. The paper offers the qualitative analysis of various WSN security challenges against a well-known …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 3, 2019 · pp. 16–22 Read article
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Ransomware Detection and Prevention Using Honeypot
Abstract: The significance of network security and explores the details of ransomware attacks, highlighting the crucial parameters essential to fortifying defences against this pernicious cyber threat. Network security involves safeguarding computer networks against unauthorized access, data breaches, and cyberattacks. Ransomware attack, a specific type of cyberattack, entail malicious software encrypting a computer system, making them unavailable to use in return attacker asks for ransom in form of cryptocurrency like Bitcoin or …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 8–13 Read article
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Analysis and Identification of Malicious Mobile Applications Using Machines Learning
Abstract: Over the past few years, malware attacks on the Android platform have surged, posing significant risks to users' financial security, personal information, and device integrity. In the first half of 2019 alone, approximately 25 million smartphones were infected, highlighting the severity of these threats. The model ranks manifest features based on their frequency in normal and malicious apps, identifying key components that distinguish benign from malicious applications. To improve detection …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 17–24 Read article
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Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security Read article
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Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security · Vol. 10, Issue 1, 2022 · pp. 46–53 Read article
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Securing Web Applications: A Machine Learning Approach for SQL Injection Threats
Abstract: The rapid evolution and widespread adoption of the internet have significantly transformed the world, leading to an increased number of cyberattacks. Cybersecurity has become one of the most critical challenges for society, incurring substantial financial losses annually. This research focuses on SQL injection attacks, the specific threat to web applications, aiming to detect malicious queries designed to exploit vulnerabilities and access sensitive data. In recent years, the frequency of SQLi …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 16–22 Read article
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Artificial Intelligence and IoT Integration for Real-Time Violence Monitoring
Abstract: The peace and tranquility of any place can be affected greatly by the insurgence of violence and violent attacks that are perpetrated by individuals with malicious and nefarious intentions. These individuals terrorize the areas and can cause a lot of harm and damage to people and public property. The incidences of violence are undesirable and can be problematic to handle by the law enforcement agencies, as these acts are committed …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 39–45 Read article
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Energy conserving Detection Model for cooperative region Attacks in Wireless detector Networks
Abstract: This study describes energy computation algorithmic rule wireless detector networks. The algorithmic rule is adjustable, we are able to wage counter attacks in against either single black holes or groups of malicious nodes within the detector networks. Routing data table (DRI) is employed to traumatize modification and cross checking and knowledge to spot the cooperative region nodes. AHP (Analytic Hierarchy Process): mechanism is employed to mitigate the safety problems concerning …
Published in Journal Of Network security · Vol. 6, Issue 3, 2018 · pp. 18–22 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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Performance of Network Node in Presence of Sinkhole Attack in MANET
Abstract: AbstractMobile ad hoc networks (MANET) are wireless mobile nodes that communicate without any predefined infrastructure. MANET routing protocol acting an important role to get these types of communication. The two routing protocols which are DSR and AODV have been studied in specified form. Most of the attacks on MANETs are routing protocol attacks. The sinkhole attack is a type of routing protocol attack which is further affecting the network by …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 5, Issue 1, 2018 · pp. 6–13 Read article
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VHDL Programming for Secure Bootloaders in IoT Security
Abstract: The proliferation of Internet of Things (IoT) devices has brought unparalleled connectivity and convenience. However, this increased connectivity comes with a heightened risk of security vulnerabilities. One of the most critical areas for securing IoT devices is the bootloader, the software responsible for initializing the device and loading the operating system. A compromised bootloader can lead to a complete takeover of the device, making it a prime target for malicious …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 1, 2025 · pp. 19–28 Read article
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Reliable Function used to Improve Security by Eliminating Malicious Nodes in VANET
Abstract: AbstractVehicular ad hoc network is a rising direction of research in improvement of network and communication. It is a type of ad hoc network in which there is a decentralized type of wireless network. It is communication-less which makes it powerless against assaults like DoS. The incoming traffic flooding the victim originates from many different sources. This effectively makes it impossible to stop the attack simply by blocking a single …
Published in Journal of Microcontroller Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 19–24 Read article
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AI-Based Machine Learning Web Application Firewall (ML-WAF)
Abstract: This research investigates the use of deep learning techniques for the real-time detection of malicious activities in web traffic and proposes an intelligent, AI-driven Web Application Firewall (WAF) designed to provide automated and adaptive security. The system analyzes diverse components of HTTP requests, including request methods, URLs, headers, cookies, and payload content, to accurately identify and classify malicious behavior. The proposed model targets a wide range of common and critical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article