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Hands-On Machine Learning for Cybersecurity
book

Hands-On Machine Learning for Cybersecurity

by Soma Halder, Sinan Ozdemir
December 2018
Intermediate to advanced
318 pages
8h 28m
English
Packt Publishing
Content preview from Hands-On Machine Learning for Cybersecurity

Dealing with lateral movement in networks

We will deal with network anomaly detection with respect to lateral movement in much more detail in this chapter. Lateral movement enables attackers to compromise systems within the same network with an east-to-west movement. Lateral movement enables attackers to search for the key data and assets that are ultimately the target of their attack campaigns.

Lateral movement is not limited to a single victim within a network and enables spreading of the malware infestations across the servers and domain controllers, hence compromising the network in its entirety. Lateral movement attacks are the key differentiators that distinguish between the current complicated targeted attacks and the older comparatively ...

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Publisher Resources

ISBN: 9781788992282