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<strong>Cloud Storage Defense Against Advanced Persistent Threats: A Prospect Theoretic Study</strong>

時間：2016年10月18日上午10:00 地點：九龍湖校區計算機樓313

報告簡介：

Cloud storage is vulnerable to Advanced Persistent Threats (APTs), in which an attacker launches stealthy, continuous, well-funded and targeted attacks over storage devices. In this paper, we apply prospect theory to formulate the interaction between the defender of the cloud storage and an APT attacker who makes subjective decisions that sometimes deviate from the results of the expected utility theory, as the basis of game theory. In the PT-based cloud storage defense game with pure-strategy, the defender chooses the scan interval at each storage device and the subjective APT attacker decides his or her attack interval against each device under uncertain durations to complete the APT attacks. A mixed-strategy subjective storage defense game is also investigated, for the subjective defender and APT attacker under uncertain action of their opponent. The Nash equilibria (NEs) of both games are derived, showing that the subjective view of an APT attacker can improve the utility of the defender. A Q-learning based APT defense scheme is proposed for the storage defender without being aware of the APT attack model and the subjectivity model of the attacker in the dynamic APT defense game. Simulation results show that the proposed defense scheme suppresses the attack motivation of subjective APT attackers and improves the utility of the defender, compared with the benchmark greedy defense strategy.

報告人簡介：

肖亮，廈門大學信息科學與技術學院教授，博士生導師，IEEE高級會員，中國計算機學會高級會員，中國電子學會高級會員，網絡與數據通信專委會委員。從事網絡安全，水聲通信和大數據等方向的研究。獲教育部留學回國人員科研啟動基金，入選福建省高等學校新世紀優秀人才支持計劃。主持和參與了多項國家自然科學基金和福建省自然科學基金研究項目，并參與863項目。曾擔任IEEE Trans. Information Forensics & Security等多個SCI期刊編委，以及INFOCOM、GLOBECOM和ICC等國際學術會議技術議程委員。獲2016 IEEE INFOCOM Bigsecurity WS最佳論文獎。美國Rutgers（羅格斯新澤西州立）大學電子與計算機工程系博士，清華大學電子系碩士，南京郵電學院通信工程系學士。作為訪問學者，曾在普林斯頓大學，弗吉尼亞理工和馬裡蘭大學進行研究。曾任美國Rutgers大學無線信息網絡實驗室(WINLAB)助研，InterDigital公司和貝爾實驗室實習研究員，北卡州立大學助教。

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