A Study of Detection of Structurally Anomalous Logins within Enterprise Networks for Network Security of Organizations

Authors

  • Jigyasa Amity University, Noida, India

Keywords:

network lateral movement, anomalous logins, pattern mining

Abstract

To detect lateral motions that target remote vulnerabilities, often network intrusion detection systems use byte sequences. In this method, attackers circumvent anti-tampering controls by acquiring legitimate keys and using them to relay data from two separate devices without triggering irregular network traffic. In Credential-based Lateral Movement, we name this method. We use the capability of our technologies to recognize the lateral activity of this kind.

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Published

21-08-2022

How to Cite

[1]
Jigyasa, “A Study of Detection of Structurally Anomalous Logins within Enterprise Networks for Network Security of Organizations”, IJRESM, vol. 5, no. 8, pp. 58–65, Aug. 2022.

Issue

Section

Articles