Anomaly Based Intrusion Detection System Which Analyze the Dataset and Detect Intrusion

Muhammad Hamza Aziz, Asghar Ali Shah

Abstract


As the research increased in computer science highlight the scientists mind for the growing research world towards security. Researchers have done a lot of research work in network Security. Cybersecurity has progressively become a zone of alarm for officials, Government agencies and industries, including big commercialized infrastructure, are under attack daily. First signature-based intrusion detection systems were developed, and it detects only novel attacks. To detect strange attacks statistical IDS came into being recognized as anomaly-based IDS. It is not as much efficient as it detects all. In this, study the author focus on the efficiency of IDS using NSL-KDD99 dataset and support vector machine (SVM) technique to identify attacks. NSL-KDD dataset is used for the evaluation of these type of systems.


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DOI: http://dx.doi.org/10.21015/vtcs.v16i1.543

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