Visualization of invariant bot behavior for effective botnet traffic detection

Shahrestani, Alireza; Feily, Maryam; Masood, Mona; Muniandy, Balakrishnan

doi:10.1109/istt.2012.6481606

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…These new methods help raise user awareness while rendering other botnets harmless. An increased focus on proactive mitigation and detection strategies is necessary, not just to mitigate botnets at the local network level, but the international stage as well [230,231]. Research shows that users are willing to pay for services from their ISPs to prevent botnet attacks, but the lack of awareness nevertheless hurts the potential reach of such offerings [232].…”

Section: Proactive Botnet Mitigationmentioning

confidence: 99%

A Survey on Botnets: Incentives, Evolution, Detection and Current Trends

Stege

El-Habr

et al. 2021

Future Internet

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Botnets, groups of malware-infected hosts controlled by malicious actors, have gained prominence in an era of pervasive computing and the Internet of Things. Botnets have shown a capacity to perform substantial damage through distributed denial-of-service attacks, information theft, spam and malware propagation. In this paper, a systematic literature review on botnets is presented to the reader in order to obtain an understanding of the incentives, evolution, detection, mitigation and current trends within the field of botnet research in pervasive computing. The literature review focuses particularly on the topic of botnet detection and the proposed solutions to mitigate the threat of botnets in system security. Botnet detection and mitigation mechanisms are categorised and briefly described to allow for an easy overview of the many proposed solutions. The paper also summarises the findings to identify current challenges and trends within research to help identify improvements for further botnet mitigation research.

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Section: Proactive Botnet Mitigationmentioning

confidence: 99%