IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

Title: Enhancing Cybersecurity in Software-Defined Networks through Advanced Intrusion Detection

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PARUL HOODA

Abstract

The proliferation of Software-Defined Networking (SDN) technologies is making it more difficult for the traditional perimeter-based security strategy to defend networks from sophisticated cyberthreats. This research paper explores the integration of advanced intrusion detection algorithms into SDN setups to enhance cybersecurity defences. The programmability and centralised management of SDN may be used to develop novel intrusion detection methods that effectively detect and neutralise a wide range of intrusions. This paper assesses the corpus of literature, identifies issues, offers innovative solutions, and considers future directions for research to enhance cybersecurity in SDN via the use of advanced intrusion detection systems. The rapid advancement of Software-Defined Networking (SDN) technology has resulted in enhanced flexibility, scalability, and efficiency in network architecture. Modern threats are dynamic, which has created new challenges for cybersecurity since traditional perimeter based security solutions can't keep up with the changes. This makes incorporating state-of the-art intrusion detection techniques into SDN settings a crucial strategy for strengthening network defences against highly proficient assaults.

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