Automatic Malware Analysis

Dawn Song

ISBN 10: 1461455227 / ISBN 13: 9781461455226

Published by Springer US, Springer New York Sep 2012, 2012

About this Item

Neuware -Malicious software (i.e., malware) has become a severe threat to interconnected computer systems for decades and has caused billions of dollars damages each year. A large volume of new malware samples are discovered daily. Even worse, malware is rapidly evolving becoming more sophisticated and evasive to strike against current malware analysis and defense systems. Automatic Malware Analysis presents a virtualized malware analysis framework that addresses common challenges in malware analysis. In regards to this new analysis framework, a series of analysis techniques for automatic malware analysis is developed. These techniques capture intrinsic characteristics of malware, and are well suited for dealing with new malware samples and attack mechanisms.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 84 pp. Englisch.

Seller Inventory # 9781461455226

Bibliographic Details

• Title: Automatic Malware Analysis
• Publisher: Springer US, Springer New York Sep 2012
• Publication Date: 2012
• Language: English
• ISBN 10: 1461455227
• ISBN 13: 9781461455226
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 6D millimeters 235 millimeters width by 155 millimeters height by 6 millimeters depth
• Weight: 143 grams

About this title

Synopsis

Malicious software (i.e. malware) has become a severe threat to interconnected computer systems for decades and has caused billions of dollars damages each year. A large volume of new malware samples are discovered daily. Even worse, malware is rapidly evolving becoming more sophisticated and evasive to strike against current malware analysis and defense systems. Automatic Malware Analysis presents a virtualized malware analysis framework that addresses common challenges in malware analysis. In regards to this new analysis framework, a series of analysis techniques for automatic malware analysis is developed. These techniques capture intrinsic characteristics of malware, and are well suited for dealing with new malware samples and attack mechanisms.

Review

From the reviews:

“The authors present their architecture for dynamic binary analysis of malware. ... The authors do this quite well. Each chapter ends with a chapter summary and extensive references. ... the book presents a good concise explanation of the proposed architecture for automated detection of malware. It makes a useful little brief for quickly coming to grips with the basics of how malware works.” (David B. Henderson, Computing Reviews, May, 2013)