Detection Mechanisms for Peer-to-Peer Botnets

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.

Reduction Jammer Detection and Recovery Algorithms for DSRC Safety Application in VANET

“…The absence of robust security, deployment of unsuitable methods, or the detrimental impacts of targeted attacks can lead to severe repercussions. Such vulnerabilities might encourage self-centered behavior or, in extreme cases, deliberate disruptions aimed at causing accidents [4] This study contributes to the body of knowledge by presenting a jamming detection algorithm designed to transition DSRC Safety Applications to a secure fail-safe mode. The work will focus on understanding the influence of "deceptive jammers" on the reception of Basic Safety Messages (BSM).…”