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Conference Paper
Design of Cyber Attack Precursor Symptom Detection Algorithm through System base Behavior Analysis and Memory Monitoring
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- Authors
- Sung Mo Jung, Jong Hyun Kim, Giovanni Cagalaban, Ji-Hoon Lim, Seok Soo Kim
- Issue Date
- 2010-12
- Citation
- International Conference on Future Generation Communication and Networking (FGCN) 2010 (CCIS 120), v.120, pp.276-283
- Publisher
- Springer
- Language
- English
- Type
- Conference Paper
- Abstract
- More recently, botnet-based cyber attacks, including a spam mail or a DDos attack, have sharply increased, which poses a fatal threat to Internet services. At present, antivirus businesses make it top priority to detect malicious code in the shortest time possible (Lv.2), based on the graph showing a relation between spread of malicious code and time, which allows them to detect after malicious code occurs. Despite early detection, however, it is not possible to prevent malicious code from occurring. Thus, we have developed an algorithm that can detect precursor symptoms at Lv.1 to prevent a cyber attack using an evasion method of 'an executing environment aware attack' by analyzing system behaviors and monitoring memory. © 2010 Springer-Verlag Berlin Heidelberg.
- KSP Keywords
- Behavior analysis, Cyber attacks, DDoS attacks, Detection algorithm, Early detection, Internet service, Malicious code, Memory monitoring, Spam mail, analyzing system