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AI in Cybersecurity (Intelligent Systems Reference Library Book 151)
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This book presents state-of-the-art AI approaches to cybersecurity offering strategic defense mechanisms for malware and proactive countermeasures against cyberthreats.
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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.
| Publisher | Springer |
| Publication date | September 17, 2018 |
| Edition | 1st ed. 2019 |
| Language | English |
| File size | 15.9 MB |
| Screen Reader | Supported |
| Enhanced typesetting | Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 373 pages |
| ISBN-13 | 978-3319988429 |
| Page Flip | Enabled |
| Part of series | Intelligent Systems Reference Library |
| Item Weight | 1.5 lbs (680 grams) |
Product Description
AI in Cybersecurity (Intelligent Systems Reference Library Book 151)
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Leslie F. Sikos (Editor) Format: Kindle Edition AI & Semantics Editorial Review
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€ 196
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Features & Benefits
- Explore cutting-edge AI strategies for cybersecurity.
- Learn about strategic defense mechanisms against malware.
- Discover methods for proactive, rather than reactive, countermeasures.
- Understand complex behavior matching and machine learning applications.
- Gain insights from high-caliber experts in the field.
- Stay ahead of evolving cyber threats with new research directions.
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