Botnet Detection: Analysis of Various Techniques

7 Pages Posted: 21 Mar 2019

Date Written: March 19, 2019

Abstract

Botnet is one of the most significant threat to the digital data and technology. As all the people worldwide are finding niche with technology, criminals are also finding new tools to give new meaning to crime. Due to the growth of technology criminals need not be present on the site of the crime. They can remotely attack legitimate users and get hold of their credentials and perform various malicious activities. Initial bots developed during early days of Internet were benign. Cyber criminals came to know about their potentials and started programming malicious bots. Modern bots (P2P) can evade any security mechanism and are very hard to detect. Machine Learning techniques can be effectively used for their detection.

Suggested Citation

Baruah, Sangita, Botnet Detection: Analysis of Various Techniques (March 19, 2019). International Journal of Computational Intelligence & IoT, Vol. 2, No. 2, 2019. Available at SSRN: https://ssrn.com/abstract=3355519

Sangita Baruah (Contact Author)

Cotton University ( email )

Guwahati, 781001
India

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