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04076nam a22005775i 4500 |
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978-0-387-23399-4 |
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20151204153414.0 |
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100301s2005 xxu| s |||| 0|eng d |
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|a 9780387233994
|9 978-0-387-23399-4
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|a 10.1007/b101493
|2 doi
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|d GrThAP
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|a QA76.9.D35
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|a UMB
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|a URY
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|a COM031000
|2 bisacsh
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|a 005.74
|2 23
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|a Kruegel, Christopher.
|e author.
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|a Intrusion Detection and Correlation
|h [electronic resource] :
|b Challenges and Solutions /
|c by Christopher Kruegel, Fredrik Valeur, Giovanni Vigna.
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|a Boston, MA :
|b Springer US,
|c 2005.
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|a XIV, 118 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a text file
|b PDF
|2 rda
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|a Advances in Information Security,
|x 1568-2633 ;
|v 14
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|a Computer Security and Intrusion Detection -- Alert Correlation -- Alert Collection -- Alert Aggregation and Verification -- High-Level Alert Structures -- Large-Scale Correlation -- Evaluation -- Open Issues -- Conclusions.
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|a INTRUSION DETECTION AND CORRELATION: Challenges and Solutions presents intrusion detection systems (IDSs) and addresses the problem of managing and correlating the alerts produced. This volume discusses the role of intrusion detection in the realm of network security with comparisons to traditional methods such as firewalls and cryptography. The Internet is omnipresent and companies have increasingly put critical resources online. This has given rise to the activities of cyber criminals. Virtually all organizations face increasing threats to their networks and the services they provide. Intrusion detection systems (IDSs) take increased pounding for failing to meet the expectations researchers and IDS vendors continually raise. Promises that IDSs are capable of reliably identifying malicious activity in large networks were premature and never tuned into reality. While virus scanners and firewalls have visible benefits and remain virtually unnoticed during normal operations, the situation is different with intrusion detection sensors. State-of-the-art IDSs produce hundreds or even thousands of alerts every day. Unfortunately, almost all of these alerts are false positives, that is, they are not related to security-relevant incidents. INTRUSION DETECTION AND CORRELATION: Challenges and Solutions analyzes the challenges in interpreting and combining (i.e., correlating) alerts produced by these systems. In addition, existing academic and commercial systems are classified; their advantage and shortcomings are presented, especially in the case of deployment in large, real-world sites. INTRUSION DETECTION AND CORRELATION: Challenges and Solutions is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.
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650 |
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|a Computer science.
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650 |
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|a Computer communication systems.
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|a Data structures (Computer science).
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|a Data encryption (Computer science).
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|a Coding theory.
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|a E-commerce.
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|a Computer Science.
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|a Data Structures, Cryptology and Information Theory.
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|a Data Encryption.
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650 |
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4 |
|a Computer Communication Networks.
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650 |
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4 |
|a Information Systems Applications (incl. Internet).
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650 |
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4 |
|a e-Commerce/e-business.
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650 |
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|a Coding and Information Theory.
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700 |
1 |
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|a Valeur, Fredrik.
|e author.
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|a Vigna, Giovanni.
|e author.
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9780387233987
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830 |
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|a Advances in Information Security,
|x 1568-2633 ;
|v 14
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856 |
4 |
0 |
|u http://dx.doi.org/10.1007/b101493
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SCS
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950 |
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|a Computer Science (Springer-11645)
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