Paper Contents
Abstract
In contemporary society, reliance on cyberspace permeates every facet of daily life, leading to an increase in cybercrimes and threats. While novel innovations offer significant advantages to individuals, organizations, and governments, they also introduce vulnerabilities. Critical issues such as safeguarding important data, securing stored information platforms, and ensuring data availability have emerged. Among these concerns, cyber terrorism stands out as a paramount challenge. The proliferation of cyber threats poses significant risks to both individuals and institutions, potentially jeopardizing public and national security. Consequently, the development of Intrusion Detection Systems (IDS) has become imperative to mitigate cyber-attacks. In this study, we employ support vector machine (SVM) algorithms for port scan detection using the latest CICIDS2017 dataset, achieving precision rates of 97.80% and 69.79% respectively.
Copyright
Copyright © 2024 Dr. M. Venkateswara Rao. This is an open access article distributed under the Creative Commons Attribution License.
