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What is Autonomous Detection System

Handbook of Research on Technical, Privacy, and Security Challenges in a Modern World
A detection system which able to detect the intrusion based on the stimulus and suggest appropriate action based on the level of severity attack.
Published in Chapter:
Retrieval of Information Through Botnet Attacks: The Importance of Botnet Detection in the Modern Era
Zahian Ismail (Universiti Malaysia Pahang, Malaysia), Aman B. Jantan (Universiti Sains Malaysia, Malaysia), Mohd. Najwadi Yusoff (Universiti Sains Malaysia, Malaysia), and Muhammad Ubale Kiru (Universiti Sains Malaysia, Malaysia)
DOI: 10.4018/978-1-6684-5250-9.ch018
Abstract
Services and applications online involve information transmitted across the network, and therefore, the issue of security during data transmission has become crucial. Botnet is one of the prominent methods used by cybercriminals to retrieve information from internet users because of the massive impact cause by the bot armies. Thus, this chapter provides a study of Botnet and the impact of Botnet attacks especially on the security of information. In order to survive, Botnet implemented various evasion techniques, and one of the notorious ones is by manipulating an encrypted channel to perform their C&C communication. Therefore, the authors also review the state of the art for Botnet detection and focus on machine learning-based Botnet detection systems and look into the capabilities of machine learning approaches to detect this particular Botnet. Eventually, they also outline the limitations of the existing Botnet detection approach and propose an autonomous Botnet detection system.
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