TY  - BOOK
AU  - Christodorescu,Mihai
AU  - Jha,Somesh
AU  - Maughan,Douglas
AU  - Song,Dawn
AU  - Wang,Cliff
ED  - SpringerLink (Online service)
TI  - Malware Detection
T2  - Advances in Information Security,
SN  - 9780387445991
AV  - QA76.9.A25 
U1  - 005.82 23
PY  - 2007///
CY  - Boston, MA
PB  - Springer US
KW  - Computer science
KW  - Computer network architectures
KW  - Computer Communication Networks
KW  - Data structures (Computer science)
KW  - Data encryption (Computer science)
KW  - Coding theory
KW  - Computer Science
KW  - Data Encryption
KW  - Data Structures, Cryptology and Information Theory
KW  - Computer Systems Organization and Communication Networks
KW  - Coding and Information Theory
KW  - Data Structures
N1  - Overview -- Malware Evolution: A Snapshot of Threats and Countermeasures in 2005 -- Software Analysis and Assurance -- Static Disassembly and Code Analysis -- A Next-Generation Platform for Analyzing Executables -- Behavioral and Structural Properties of Malicious Code -- Detection and Prevention of SQL Injection Attacks -- Distributed Threat Detection and Defense -- Very Fast Containment of Scanning Worms, Revisited -- Sting: An End-to-End Self-Healing System for Defending against Internet Worms -- An Inside Look at Botnets -- Can Cooperative Intrusion Detectors Challenge the Base-Rate Fallacy? -- Stealthy and Targeted Threat Detection and Defense -- Composite Hybrid Techniques For Defending Against Targeted Attacks -- Towards Stealthy Malware Detection -- Novel Techniques for Constructing Trustworthy Services -- Pioneer: Verifying Code Integrity and Enforcing Untampered Code Execution on Legacy Systems -- Principles of Secure Information Flow Analysis
N2  - Many malicious attacks are achieved by malicious code or malware, such as viruses and worms. Shared resources, such as the Internet, have created a highly interconnected cyber-infrastructure. Critical infrastructures in domains such as medical, power, telecommunications, and finance are highly dependent on information systems. These two factors have exposed our critical infrastructures to malicious attacks and accidental failures. Given the deleterious affects of malware on our cyber infrastructure, identifying malicious programs is an important goal. Unfortunately, malware detectors have not kept pace with the evasion techniques commonly used by hackers--the good guys are falling behind in the arms race. Malware Detection, based on the Special ARO/DHS Workshop on Malware Detection at Rosslyn, VA, in 2005, captures the state of the art research in the area of malicious code detection, prevention and mitigation. This edited volume is intended for researchers and developers working on malicious code (malware) detection, prevention and mitigation. In addition it can be used for a senior level undergraduate course, or for a graduate course in the area of computer and software security.
UR  - http://dx.doi.org/10.1007/978-0-387-44599-1
ER  -