作者: Kyoung-Soo Han , In-Kyoung Kim , Eul Gyu Im
DOI: 10.1007/978-94-007-2911-7_60
关键词: Private information retrieval 、 Computer security 、 Denial-of-service attack 、 Computer science 、 Malware analysis 、 Login 、 Sequence 、 Malware 、 Classification methods 、 Password
摘要: Malware is generated to gain profits by attackers, and it infects many users’ computers. As a result, attackers can acquire private information such as login IDs, passwords, e-mail addresses, cell-phone numbers banking account from infected machines. Moreover, machines be used for other cyber-attacks DDoS attacks, spam transmissions, so on. The number of new malware discovered every day increasing continuously because the automated tools allow generate or their variants easily. Therefore, rapid analysis method required in order mitigate infection rate secondary damage users. In this paper, we proposed variant classification using sequential characteristics API used, described experiment results with some samples.