Intrusion Detection Systems (eBook, PDF)
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In our world of ever-increasing Internet connectivity, there is an on-going threat of intrusion, denial of service attacks, or countless other abuses of computer and network resources. In particular, these threats continue to persist due to the flaws of current commercial intrusion detection systems (IDSs).
Intrusion Detection Systems is an edited volume by world class leaders in this field. This edited volume sheds new light on defense alert systems against computer and network intrusions. It also covers integrating intrusion alerts within security policy framework for intrusion response,…mehr

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Produktbeschreibung
In our world of ever-increasing Internet connectivity, there is an on-going threat of intrusion, denial of service attacks, or countless other abuses of computer and network resources. In particular, these threats continue to persist due to the flaws of current commercial intrusion detection systems (IDSs).

Intrusion Detection Systems is an edited volume by world class leaders in this field.
This edited volume sheds new light on defense alert systems against computer and network intrusions. It also covers integrating intrusion alerts within security policy framework for intrusion response, related case studies and much more. This volume is presented in an easy-to-follow style while including a rigorous treatment of the issues, solutions, and technologies tied to the field.

Intrusion Detection Systems is designed for a professional audience composed of researchers and practitioners within the computer network and information security industry. It is also suitable as a reference or secondary textbook for advanced-level students in computer science.

Rezensionen
From the reviews:

"This collection of seven papers, plus a glossary and a two-page editorial introduction, presents the state of the art in IDSs. ... The editors have collected a strong set of papers for both IDS specialists and IDS users. The authors succeed in presenting directions for improvement, backed up by experimental results." (A. Mariën, ACM Computing Reviews, January, 2009)