Panorama
Carnegie Mellon University · University of California, Berkeley · +1 more institution
Abstract
Malicious programs spy on users' behavior and compromise their privacy. Even software from reputable vendors, such as Google Desktop and Sony DRM media player, may perform undesirable actions. Unfortunately, existing techniques for detecting malware and analyzing unknown code samples are insufficient and have significant shortcomings. We observe that malicious information access and processing behavior is the fundamental trait of numerous malware categories breaching users' privacy (including keyloggers, password thieves, network sniffers, stealth backdoors, spyware and rootkits), which separates these malicious applications from benign software. We propose a system, Panorama, to detect and analyze malware by…
Citation impact
- FWCI
- 43.27
- Percentile
- 100%
- References
- 28
Authors
5Topics & keywords
- Malware
- Computer science
- Password
- Panorama
- Computer security
- Server
- False positive paradox
- Software
- Peace, Justice and strong institutions