AI in Cybersecurity

AI in Cybersecurity

Leslie F. Sikos (Editor)

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This book presents a collection of state-of-the-art AI approaches to cybersecurity and cyberthreat intelligence, offering strategic defense mechanisms for malware, addressing cybercrime, and assessing vulnerabilities to yield proactive rather than reactive countermeasures. The current variety and scope of cybersecurity threats far exceed the capabilities of even the most skilled security professionals. In addition, analyzing yesterday’s security incidents no longer enables experts to predict and prevent tomorrow’s attacks, which necessitates approaches that go far beyond identifying known threats.

Nevertheless, there are promising avenues: complex behavior matching can isolate threats based on the actions taken, while machine learning can help detect anomalies, prevent malware infections, discover signs of illicit activities, and protect assets from hackers. In turn, knowledge representation enables automated reasoning over network data, helping achieve cybersituational awareness. Bringing together contributions by high-caliber experts, this book suggests new research directions in this critical and rapidly growing field. click to read more

Categories:
Computers – Cybernetics

Year:
2018

Publisher:
Springer

Language:
english

Pages:
205 / 215

ISBN 10:
3319988417

ISBN 13:
9783319988412

Series:
Intelligent Systems Reference Library

File:
PDF, 6.25 MB