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題名 | 資訊異常偵測管理科技與通資安全應用分析=Network Malware Intrusion Detection on Information Security Management |
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作者 | 吳嘉龍; 賈澤民; 吳清色; 林豪利; 鄒奇龍; Wu, Chia-long; Char, Jir-ming; Wu, Ching-seh; Lin, Hao-lee; Tsou, Chi-lung; |
期刊 | 航空技術學院學報 |
出版日期 | 20060800 |
卷期 | 5:1 民95.08 |
頁次 | 頁11-21 |
分類號 | 312.76 |
語文 | chi |
關鍵詞 | 資訊危機管理; 入侵偵測系統; 虛擬私人網路; 資通管理技術; 異常偵測; Information security; Network-based intrusion detection system; Intrusion detection; Virtual private network; Security management technology; Anomaly detection; |
中文摘要 | 資訊戰的手法日新月異,通資安全管理的議題也因此受到全世界的重視。在近年來,由於網際網路的快速發展,網路技術也不斷地推陳出新,造成網路犯罪的行為及入侵手法也一直不斷地翻新。電腦病毒或者駭客透過網際網路的延伸與蔓延,可攻擊全世界的各個電腦系統,所造成的潛在危害不僅難以估計,亦暴露出資訊系統本身存在的安全問題。異常行為偵測法(anomaly detection)是基於正常行為為基礎,首先必須建立正常行為的規範,而異常行為的決定是由該行為是否背離正常行為來判斷。其次,透過分析使用者過去使用習慣與即時發生的事件,以辨識出異常的行為。而用傳統的群集(clustering)方式來做異常行為與正常行為之比對,經常會造成誤判(false alarm)。因此,本論文研究基於模糊理論中的群集演算法(fuzzy k-means),結合整合成網路異常入侵偵測 (cooperative anomaly and intrusion detection system),解決網路資訊異常行為偵測的問題,以達到增加正確率與減少誤判的機率。 |
英文摘要 | The techniques in information warfare have changed very quickly, therefore, information security management issue become more and more important nowadays. The network security in cyberspace has become a very critical issue these days. These activities now rely on an interdependent network of information technology infrastructures called cyberspace. Incidents can be broadly classified into several kinds: the probe, scan, account compromise, root compromise, packet sniffer, denial of service, exploitation of trust, malicious code. Securing cyberspace is an extraordinarily difficult strategic challenge that requires a coordinated and focused effort from our entire society. This paper proposed cooperative anomaly and intrusion detection system based on fuzzy k-means and network-based intrusion detection system to increase the correct probabilities and decrease the false-alarm probabilities. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。