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Real-time malware detection framework in intrusion detection systems
- Kim, Sunwoo;
- Kim, Taeguen;
- Im, Eul Gyu
Citations
SCOPUS
0초록
We suggest an efficient framework to detect malware in Intrusion Detection System (IDS). The framework generates signatures from malware families and generates corresponding detection rules. The generated signatures are not influenced by small changes of malware while they can be used to detect malware that has similar behaviors with normal programs. Our signatures are stored as an Aho-Corasick Tree form to improve signature matching performance in IDS.
키워드
intrusion detection system; malware analysis; malware detection; network security; Aho-Corasick; Detection rules; Intrusion Detection Systems; Malware analysis; Malware detection; Malware families; Signature-matching; Tree form; Intrusion detection; Network security; Computer crime
- 제목
- Real-time malware detection framework in intrusion detection systems
- 저자
- Kim, Sunwoo; Kim, Taeguen; Im, Eul Gyu
- 발행일
- 2013-10
- 유형
- Conference Paper
- 저널명
- Proceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013
- 페이지
- 351 ~ 352