Title of Talk: 基于機器學習的入侵檢測技術
Abstract:
Network intrusion detection is one of the most important parts for cyber security to protect computer systems against malicious attacks. With the emergence of numerous sophisticated and new attacks, however, network intrusion detection techniques are facing several sig- ni cant challenges. The overall objective of this study is to learn useful feature representations automatically and eciently from large amounts of unlabeled raw network trac data by using deep learning approaches.
We propose a novel network intrusion model by stacking dilated con- volutional autoencoders and evaluate our method on two new intru- sion detection datasets. Several experiments were carried out to check the e ectiveness of our approach. The comparative experimental results demonstrate that the proposed model can achieve considerably high per- formance which meets the demand of high accuracy and adaptability of network intrusion detection systems (NIDSs). It is quite potential and promising to apply our model in the large-scale and real-world network environments.
Prof.CaiZhiPing’s Biography:
蔡志平，國防科學技術大學計算機學院教授，博士生導師。現任中國計算機學會理論計算機專委會副秘書長、互聯網專委委員、中國計算機學會高級會員。擔任ToN等頂級期刊的審稿人和多個國際會議程序（組織）委員會委員，曾任加拿大多倫多大學和香港理工大學的訪問教授。長期從事網絡安全和大數據處理等領域的基礎研究。負責國家自然科學基金項目3項（其中2項結題爲優），其他項目5項，參與973項目、國防預研重點項目等多項科研工作。第一作者在IEEE Transactions on Computers等國際頂級期刊上和ICNP等國際一流會議上發表論文30多篇，共發表論文150多篇，其中SCI/EI檢索80多篇次，被引用2000多次。授權國家發明專利5項，3次獲得國際會議最佳論文獎。
A/Prof.Long Jun’s Biography:
龍軍，國防科技大學計算機學院副教授，碩士生導師，博士。中國計算機學會高級會員，中國計算機學會理論計算機科學專委會委員。研究方向：機器學習，網絡安全。國際學術會議MDAI 2011 大會主席，編輯國際學術論文集3部。承擔和參與國家自然科學基金項目、863等科研項目10餘項，發表SCI、EI論文30餘篇。