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26 articles for “signature attacks”
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A Securing Infrastructure Against Signature-based Assaults Using Karnaugh Detection Systems
Abstract: Cloud computing is one of the efficient business models for offering customers online services. Approximately 81% of businesses worldwide rely on the cloud; however, one of the most pressing issues is cloud security. Malware of several kinds can cause havoc in the clouds. Attacks on the cloud might come from both the inside and the outside. The signature attacks that can occur from outside the cloud server will be the …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 1, 2023 · pp. 1–13 Read article
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Social Media and Security for Networks
Abstract: Social networks area unit of extreme quality in recent era. Individuals from varied age team’s area unit a region of them as a result of it fascinates the user and altogether have interaction them. As most of the social networks area unit in public on the market for everybody, digital security is negotiated due to uncaring practice of it. Individuals practice them to share vital personal information. However, utmost users …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 9, Issue 2, 2022 · pp. 31–36 Read article
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Providing security using Signature-Based Broadcast Authentication in Sensor Networks
Abstract: As per recent studies it is feasible to perform public key cryptographic operations on resource-constrained sensor platforms. But the problem is energy consumption introduced by public key operations makes any public key-based protocol an easy target of Denial-of-Service attacks. For example, if digital signature schemes like Elliptic Curve Digital Signature Algorithm are used directly for broadcast authentication without further protection, an attacker can simply broadcast fake messages and force the …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 1, 2014 · pp. 12–16 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-Driven Cyber Threat Detection and Response Framework for Higher Educational Institutions (HEIs)
Abstract: Higher educational institutions (HEIs) are increasingly exposed to complex cyber threats due to their open-access digital ecosystems, diverse user populations, and extensive research infrastructures. Conventional signature-based intrusion detection systems often fail to detect zero-day and evolving attacks, creating an urgent need for intelligent and adaptive security mechanisms. This research introduces an AI-based framework for detecting and responding to cyber threats, specifically designed for HEIs. The framework employs an unsupervised machine …
Published in Journal Of Network security · Vol. 14, Issue 2, 2026 · pp. 28–34 Read article
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Behavioral Prediction of Network Attacks Using Honeypot Rules
Abstract: In this paper is presented an approach for behavioral prediction of network attacks usinghoneypot rules using support physical machine as a classification technique. Theproposed honeypot is used to trap delay and gather information about the attackers.These systems are centralized at a strategic point in the network and collect data into alog file that is subsequently analyzed as main vulnerability. Honeypots can generate thesignature with the help of attack classifier, and …
Published in Journal Of Network security · Vol. 2, Issue 1, 2014 · pp. 7–12 Read article
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To Detect and Overcome Sinkhole Attack in Mobile Ad-hoc Network
Abstract: Mobile ad-hoc network abbreviated as MANET is most emerging and highly demanding wireless network technology. Due to the property of self-deliberate, where all points of network behave like source or router and also, all nodes keep on moving freely in network area. Mobile ad hoc network performs important role in connectionless environment. Security is the most fundamental requirement in mobile ad hoc network to secure the sensitive information from hackers. …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 3, 2015 · pp. 1–8 Read article
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Enhancing the Cloud Data Security Using Keeper Key and Kernel Tag
Abstract: Cloud computing is used everywhere in today's era. Around 80+ businesses are running on cloud computing. But security is also an important issue. Barley is a disease that can spread destructively, leading to significant damage. Attacks can be done in two ways. One of them may be from outside the server and this study will discuss an important topic. Brute force and signature threats are attacks that attack cloud servers …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 1, 2023 · pp. 35–46 Read article
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Multi-Layered AI-Driven Security in Wireless Ecosystems
Abstract: The proliferation of next-generation wireless technologies, from 5G/6G networks to the pervasive Internet of Things (IoT), has birthed a hyperconnected digital ecosystem of unprecedented scale and dynamism. This interconnectedness, however, introduces a vast and volatile attack surface, rendering conventional, signature-based security paradigms fundamentally obsolete. This paper posits that the only viable defense is an offensive, self-adaptive one, predicated on the integration of artificial intelligence (AI) directly into the wireless security …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 21–28 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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AI-Based Threat Detection in Cloud Platforms
Abstract: This research work delves into the transformative role AI has come to assume for enhanced threat detection in the cloud ecosystem. The conventional security frameworks, which form the basis for many architectures, are several steps behind actualizing the rapidly evolving cyber threat landscape, exposing critical weaknesses in the areas of accuracy, adaptability, and speed of response. Initially, the study sets forth the problems with the old-school approaches to threat detection …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 01–10 Read article
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Assessing the Effectiveness of Machine Learning Algorithms in Simulating Malware Detection Processes
Abstract: On the information system comprehends, computer virus attacks play a very important role and, by undermining regionally and globally, are considered one of the most critical threats. The traditional malware detection methods, more varied, being based on signature, are incapable of providing sufficient coverage over malicious programs in a short time. This is due to the speed of evolution and growing complexity of malware variants. This situation, in turn, requires …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 3, 2023 · pp. 11–20 Read article
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Comprehensive Comparative Analysis of Intrusion Detection Systems: Evaluating Signature Based, Anomaly Based, and Hybrid Approaches
Abstract: In the fast-changing world of cybersecurity, Intrusion Detection Systems (IDS) play a vital role in protecting digital resources. This study offers an in-depth comparative analysis to evaluate the efficiency and performance of different IDS solutions. It examines a variety of both commercial and opensource platforms, encompassing signature based, anomaly based, and hybrid models, to assess their effectiveness in identifying and responding to a wide range of cyber threats. Methodologies for …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 39–44 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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A Gui Model for the Encryption and Decryption of an Image
Abstract: Digital watermarking is the processing of combined information into a digital signal. A watermark is a secondary image, which is overlaid on the host image, and provides a means of protecting the image. It acts as a digital signature, giving the image a sense of ownership or authenticity. Digital watermarking technique is very impressive for image authentication or protection for attacks. This paper proposes a separable reversible data hiding in …
Published in Recent Trends in Electronics Communication Systems · Vol. 2, Issue 3, 2015 · pp. 47–54 Read article
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Multicast Authentication Protocol in the Two-way Relay Channel with Active Attackers
Abstract: An effective key generation scheme that achieves a substantially larger key rate than that of a direct channel mimic approach. Existing schemes, there is need for the key generating terminals to obtain correlated observations in our scheme. It also investigate the effects of an active attacker on the proposed key a novel multicast authentication protocol, namely MABS, including two schemes. The basic scheme (MABS-B) eliminates the correlation among packets and …
Published in Journal of Operating Systems Development & Trends · Vol. 3, Issue 1, 2016 · pp. 22–30 Read article
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Exploring the Role of Advanced Shell Scripts for Malware Threat Detection
Abstract: This study investigates the application of advanced shell scripts in detecting malware threats within computer systems. As cyber-attacks become more sophisticated, traditional detection methods frequently prove inadequate, highlighting the need for innovative approaches. The research highlights the effectiveness of shell scripting in automating the monitoring and analysis of system behavior, file integrity, and network traffic. By leveraging patterns and signatures of known malware, the scripts can identify anomalies indicative of …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 6–16 Read article
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Evaluation of Ensemble and Deep Learning Classifiers on CSE-CIC-IDS2018 Dataset for Intelligent NIDS
Abstract: Network Intrusion Detection System (NIDS) plays an active role in preventing cyberattacks by early detection of threats before it really starts affecting targeted information services. Over the years, many intrusion detection system (IDS) have been developed applying signature or rule-based approach to prevent unauthorised access of network or computer devices. However, ever growing landscape of cyberattacks in recent years has motivated present day researchers to design and develop more accurate …
Published in Current Trends in Information Technology · Vol. 13, Issue 1, 2023 · pp. 1–11 Read article
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Efficient Malware Detection in Cybersecurity: Leveraging Advanced Data Structures for Enhanced Threat Identification
Abstract: The cybersecurity landscape is constantly changing with more advanced malware creating major challenges for detection systems. To address these challenges effectively, advanced data structures have become essential in optimizing how data is managed, processed, and analyzed for malware detection. This review paper delves into the role of several cutting-edge data structures—bloom filters, tries, hash tables, graphs, decision trees, and suffix trees—in enhancing the efficiency and accuracy of malware detection mechanisms. …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 32–40 Read article
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A Survey on Ensemble Technique for Enhanced Cyberattack Detection
Abstract: It is now more difficult than ever to safeguard enterprises against cyberattacks due to their fast growth and growing sophistication. Stronger cyberattack detection systems are becoming more and more necessary as hostile strategies continue to evolve in order to safeguard information, preserve corporate trust, and protect sensitive data. An overview of contemporary detection techniques is given in this study, with a focus on integrating machine learning (ML) to increase efficacy. …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 50–54 Read article