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55 articles for “IDS”
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Research ArticleOpen accessIn the keywordsCombating Cyber Terrorism-Assessment of Log for Malicious SignaturesKamalanaban Ethala, R. SeshadriEnhancing security to the networks and preventing the cyber attacks is a major issue in all domains. In this study, a new class of cyber terrorism is addressed where mischievous and malicious behaviour is the root cause for the modification of network data stored in an open database. An attempt is made in this study to develop an algorithm that … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 7 Nov 2013 · 6,635 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Survey of Intrusion Detection Schemes in Wireless Sensor NetworksMurad A. Rassam, M. A. Maarof, Anazida ZainalWireless Sensor Networks (WSNs) are currently used in many application areas including military applications, health related applications, control and tracking applications and environment and habitat monitoring applications. The harsh and unattended deployment of these networks along with their resource restrictions makes their security issue very important. Prevention-based security approaches like cryptography, authentication and key management have been used to protect … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 17 Aug 2012 · 8,733 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEffective Authentication Technique for Distributed Denial of Service Attacks in Wireless Local Area NetworksM. Moorthy, S. SathiyabamaProblem statement: In 802.11-based Wireless LAN (WLAN), there is an mproved risk of security attacks. To defeat concealed attacks, there is a necessity to authenticate both access points and wireless stations. Approach: We propose a defensive technique for DDoS attack in WLAN. This authentication technique includes an Authentication Server (AS) in addition to the Wireless Station (WS) and Access Point … …Journal of Computer Science, Vol. 8, Issue 6 · 14 Mar 2012 · 7,075 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHandling Web and Database Requests Using Fuzzy Rules for Anomaly Intrusion DetectionSelvamani Kadirvelu, Kannan ArputharajProblem statement: It is necessary to propose suitable detection and prevention mechanisms to provide security for the information contents used by the web application. Many prevention mechanisms which are currently available are not able to classify anomalous, random and normal request. This leads to the problem of false positives which is classifying a normal request as anomalous and denying access … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,305 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComputer Security: a Survey of Methods and SystemsRoman V. Yampolskiy, Venu GovindarajuIn this work we have reviewed studies which survey all aspects of computer security including attackers and attacks, software bugs and viruses as well as different intrusion detection systems and ways to evaluate such systems. The aim was to develop a survey of security related issues which would provide adequate information and advice to newcomers to the field as well … …Journal of Computer Science, Vol. 3, Issue 7 · 31 Jul 2007 · 6,824 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Misuse and Anomaly Intrusion Detection System Using Hybrid Supervised and Unsupervised Data Mining ApproachesHoma Molavi, Mohammad KhanbabaeiIntrusion Detection Systems (IDSs) play a crucial role in monitoring computer network security. Data mining and machine learning techniques facilitate the identification of intrusion patterns within large volumes of data. Hybrid data mining models have become increasingly popular in IDSs due to their enhanced effectiveness. This study presents a novel hybrid IDS that combines misuse and anomaly detection by integrating … …Journal of Computer Science, Vol. 22, Issue 6 · 6 Jul 2026 · 999 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnsemble Learning-Based Hybrid Explainable Intrusion Detection System With SMOTE for Enhanced Detection and Interpretability in CybersecurityMohammad Subhi Al-Batah, Taqieddin AldrousWith cyberattacks becoming increasingly sophisticated, there is a growing need for Intrusion Detection Systems (IDS) that are both accurate and interpretable. This study introduces a hybrid IDS framework that integrates Random Forest (RF) and Light Gradient Boosting Machine (LGBM) classifiers with the Synthetic Minority Over-sampling Technique (SMOTE) to address class imbalance. To enhance transparency and trust, the system also incorporates … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,277 accessesView PDFCite
Research ArticleOpen accessIn the abstractBlockchain-Enabled Decisive Red Fox Optimizer-Based Feature Selection With Deep Learning-Based Intrusion Detection SystemC. Ananth, S. Sathiyarani, N. MohananthiniRecently, Intrusion Detection Systems (IDS) using Deep Learning (DL) models become useful in accomplishing network security. The selected features serve as input to the DL model, which is trained on labelled datasets to learn intrinsic patterns distinguishing malicious from normal network behaviour. DL techniques like Convolutional Neural Networks (CNN) are usually utilized. The seamless combination of Public Blockchain (BC) technology … …Journal of Computer Science, Vol. 21, Issue 12 · 20 Jan 2026 · 1,714 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Intrusion Detection System Using RF, SVM, and DT: A Comparison-Based KDD Data SetWalaa Hassan Elashmawi, Alaa Sheta, Ahmad Al-QeremThe rapid growth of technology has brought about many advantages, but has also made networks more susceptible to security threats. Intrusion Detection Systems (IDS) play a vital role in protecting computer networks against malicious activities. Given the dynamic and constantly evolving nature of cyber threats, these systems must continuously adapt to maintain their effectiveness. Machine Learning (ML) methods have gained … …Journal of Computer Science, Vol. 21, Issue 8 · 28 Aug 2025 · 5,818 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing SQL Injection Detection: A Machine Learning Approach Using Network Flow DataP. Vinoth, K. Muthamil Sudar, S. MuthukumarBackground: SQL injection is one of the cyberattacks which occurs in web application vulnerabilities. It targets the poor input validation and enables the attackers to inject malicious queries into the database fields in any application. It will grant access to unauthorized users and data modification, or they will take control over the complete database. To prevent this, there are several … …Journal of Computer Science, Vol. 22, Issue 8 · 18 Aug 2026 · 1,051 accessesView PDFCite