Malware Analysis and Detection
A special issue of Applied Sciences (ISSN 2076-3417).
Deadline for manuscript submissions: closed (15 January 2018)
Special Issue Editors
Interests: malware analysis; software security; automated vulnerability discovery
Interests: network security; security and privacy for networked systems; applied machine learning for security
Special Issue Information
Dear Colleagues,
Malware targets are expanding from conventional computer systems to ever growing IoT devices, which include home appliances to industrial control systems. Malware is being used for earning money by performing click fraud, acting as ransomware, and even collecting crypto currencies as a cryptominer. The recognition of their infection becomes more difficult due to invisible aspects of such embedded devices from users. Now we need to have broader attention to the malware threats as the growth of their infection vectors and significance of their damage to our daily lives. We are soliciting great ideas from various fields in order to combat sophisticated malware. Topics may include, but are not limited to:
- Automated malware detection and response
- Machine learning for malware detection
- Lineage analysis of malware family
- Botnets, ransomware, cryptominers and others
- Various types of IoT malware and their defense mechanisms
- New types of malware and their defenses
- Mobile and smartphone security
- Darknet and black market economy analysis
Prof. Heejo Lee
Prof. Yoshiaki Hori
Prof. Sven Dietrich
Guest Editors
Manuscript Submission Information
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Keywords
- Malware analysis
- IoT security
- smartphone security
- security economy
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