DEEP LEARNING IN INTRUSION DETECTION SYSTEMS
Authors:
*GundaSatishkumar, S.Chandra Prakash
Page No: 191-198
Abstract:
Abstract— Concern over cybersecurity, which aims to protect the system's data or communication technology, has grown in recent years as a result of the advent of the limitless communication paradigm and the rise in networked digital gadgets. Every day, new attack types are discovered by intruders; consequently, in order to stop these attacks, intrusion detection systems (IDSs) must first correctly identify them before appropriate responses can be provided. Data collection, feature selection/conversion, and decision engine are the three primary components of intrusion detection systems (IDSs), which are extremely important for network security
Description:
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Volume & Issue
Volume-14,ISSUE-3
Keywords
Index Terms—Intrusion detection; Deep Learning; Security; Big Data;