Manuscript Title:

A HOST–BASED P2P HOST IDENTIFICATION APPROACH WITH FLOW–BASED IN DETECTION OF P2P BOTS

Author:

GADDE RAMESH, SURESH PABBOJU

DOI Number:

DOI:10.17605/OSF.IO/UE28D

Published : 2022-01-10

About the author(s)

1. GADDE RAMESH - Research Scholar, University College of Engineering (Autonomous), Osmania University, Hyderabad500 007, Telangana State, India.
2. SURESH PABBOJU - Professor of Information Technology, Chaitanya Bharathi Institute of Technology-CBIT, Hyderabad500075, Telangana State, India.

Full Text : PDF

Abstract

In today’s era of Internet 59.5% people globally are connected to Internet. Few utilize for entertainment, banking, communicating, information retrieving. Some others utilize for business purpose by interacting with the suppliers, distributors, partners, customers etc., with such an abundant internet usage the criminals lead to the era of Cyber Crimes. As per PurpleSec, cyber-crimes have risen to 600% due to COVID – 19 pandemic as remote working has increased, and the security levels needed to an individual’s system may not be available at home. Though various cyber-attacks are happening, one of the major attacks via Bot is buzzing in the stream of cybercrime. The significance of the botnets made the researchers work on them and approaches to assuage them. Botnet’s new architecture called Peer – to – Peer (P2P) has made strong against detection over conventional client – server. Due to the superior resiliency next to detection, P2P botnets reputation commenced growing namely ZBot/Zeus, the largest botnet globally estimated to mark 3.6 million PCs [1]. This newly proposed approach is a 2 – step process, initially the engaged hosts in P2P activity are identified and later detects P2P botnets using PeerClear methodology. This methodology works with an accuracy of 99.6% and low false – positive rate < 0.28%.


Keywords

Botnet; Bot; P2P bots, P2P Host; Network flow; Peer Clear; P2P Network.