| Description |
1 online resource (ix, 73 pages) : illustrations |
| Series |
SpringerBriefs in computer science, 2191-5776 |
|
SpringerBriefs in computer science.
|
| Contents |
Dynamic Binary Analysis Platform -- Hidden Code Extraction -- Privacy-breaching Behavior Analysis -- Hooking Behavior Analysis -- Analysis of Trigger Conditions and Hidden Behaviors -- Concluding Remarks |
| Summary |
"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"--Provided by publisher |
| Analysis |
Data encryption (Computer science) |
|
Data protection |
|
Data structures (Computer science) |
|
Information Systems and Communication Service |
|
Information Systems Applications (incl. Internet) |
|
Systems and Data Security |
| Bibliography |
Includes bibliographical references |
| Notes |
Print version record |
| In |
Springer eBooks |
| Subject |
Malware (Computer software)
|
|
Computer security
|
|
Computer Security
|
|
COMPUTERS -- Security -- Viruses.
|
|
Computer security
|
|
Malware (Computer software)
|
| Form |
Electronic book
|
| Author |
Song, Dawn
|
| ISBN |
9781461455233 |
|
1461455235 |
|
