AntiXcavator: Automated Host-Based Detection and Prevention Tool for Crypto-Mining Malware Using Static and Dynamic Analysis


연구 분야: Safety



학회: 2023 5th International Conference on Advancements in Computing (ICAC)


초록

Cryptocurrency mining requires high processing power which made the miners to use malware to steal the processing power of the computers unethically without the permission of the users using crypto-mining malwares. A computer can be infected by a crypto-mining malware any time, even at its' normal usage. A host-based background application which can detect crypto-mining malware both in static and dynamic ways is introduced through this paper. when a crypto-mining malware is interacted with the computer the malware is hashed, and a unique signature is generated. The generated signature is checked against the signatures of already identified Existing crypto-mining malwares which are saved in a database. Characteristics and the behaviors of the zero-day or unknown crypto-mining malware are identified, analyzed and a prevention profile is generated for the users where users are given the chance to make the decision on whether to remove the malware or not. Development of an automated host based crypto-mining malware detection and prevention tool is being discussed through this paper.


Author Profile
Aathika Salam

School of Business Informatics Institute of Technology Colombo Sri Lanka

Sri Lanka
Author Profile
M.S Hassim

Lead Systems Engineer CodeGen International Private Limited Colombo Sri Lanka

Sri Lanka
Author Profile
Praneeth Nandana Jayawickrama

Software Engineer Colombo Sri Lanka

Sri Lanka

📄 논문 정보

발행 연도 2023년
인용수 3
출판 국가 Sri Lanka
사이트 IEEE
좋아요 수 0

연관 논문 목록 (257건)