01706cam a22001935i 4500008004100000020001800041245005400059250001800113260003800131300002100169520114400190650002901334650003201363650002101395650003201416650002901448650001401477700002101491181111s2019    gw |||| o    |||| 0|eng    a978331998841200aAI in Cybersecurity /cedited by Leslie F. Sikos.  a1st ed. 2019.  aSwitzerland :bSpringer ;cc2020.  a226 p. :bill. :  aThis 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. 0aArtificial intelligence. 0aComputational intelligence. 0aData protection.14aComputational Intelligence.24aArtificial Intelligence.24aSecurity.1 aSikos, Leslie F.