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Sliding Window-Principal Component Analysis )を用いて,時系列データの傾向の変化を検知する.評価では,提案方式 が,従来方式よりも企業内部ネットワークで発生した標的型攻撃を早期に検知できることを,実測データ ( CCCDATAset 2009 )を用いて示す. Evaluations of A Targeted Attack Detection System
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kitazawa, Shigeki Negi, Tomonori Kawauchi, Kiyoto Sakakibara, Hiroyuki Fujii, Seiji |
| Copyright Year | 2009 |
| Abstract | Recently, the threat of “The Targeted attack” has become aggravated. The Targeted Attack is an attack that limits the attack target to a specific organization and the person. In the targeted attack, a user is made to execute the malware by the sleight of hand. Moreover, the evasion measures of Anti-virus software are often taken. Accordingly it is very difficult to take measures to the malware by Anti-Virus Software. In this paper, we propose the new Targeted Attack Detection Sysntem. Our system can detect network behaviors of the malware. We show that our system is very efficient to detect the behaviors of the malware by the real observed data(CCCDATAset2009). |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.iwsec.org/mws/2009/paper/A6-3.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
