Article
Version 1
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Detection Mechanisms for Peer-to-Peer Botnets
Version 1
: Received: 26 July 2022 / Approved: 27 July 2022 / Online: 27 July 2022 (08:12:50 CEST)
How to cite: Manickam, S.; Al-Shareeda, M.A. Detection Mechanisms for Peer-to-Peer Botnets. Preprints 2022, 2022070415. https://doi.org/10.20944/preprints202207.0415.v1 Manickam, S.; Al-Shareeda, M.A. Detection Mechanisms for Peer-to-Peer Botnets. Preprints 2022, 2022070415. https://doi.org/10.20944/preprints202207.0415.v1
Abstract
Cybercrimes are becoming a bigger menace to both people and corporations. It poses a serious challenge to the modern digital world. According to a press release from 2019 Cisco and Cybersecurity Ventures, Cisco stopped seven trillion threats in 2018, or 20 billion threats every day, on behalf of its clients. According to Cybersecurity Ventures, the global cost of cybercrime will reach $6 trillion annually by 2021, which is significantly more than the annual damage caused by all natural disasters and more profitable than the global trade in all major illegal narcotics put together. Botnets are the most common and have a significant negative impact on any civilization among malware programmes. As a result, this study will explore various P2P botnet detection algorithms by outlining their essential characteristics, advantages and disadvantages, obstacles, and future research.
Keywords
P2P botnet; Cybersecurity; detection mechanism
Subject
Engineering, Electrical and Electronic Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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