<link rel="stylesheet" href="styles.cf390c6bfbe7555f.css"> Skip to main content

學術出版;;Publications

Permanent URI for this communityhdl:11536/1

收集所有交通大學研究人員與學生個人或團體所發表之各項學術著作,涵蓋期刊論文、教師專書、學位論文等項。;;Collections of Publications of NCTU Researchers and Students Like Journal Papers and Thesis.

Browse

Search Results

Now showing 1 - 3 of 3
  • Item type:Item,
    Security Semantics Modeling with Progressive Distillation
    (2017-11-01)
    Shen, Zong-Xian
    ;
    Hsu, Chia-Wei
    ;
    Shieh, Shiuhpyng Winston
    ;
    資訊工程學系
    ;
    Department of Computer Science
    The prevalence of Android platform has attracted adversaries to craft malicious payloads for illegal profit. Such malicious artifacts are frequently reused and embedded in benign, paid apps to lure victims that the apps have been cracked for free. To discover these fraudulent apps, administrators of app markets desire an automated scanning process to maintain the health of app ecosystem. However, conventional approaches cannot be efficiently applied due to the lack of a scalable, effective approach to malware characteristics aggregation. On the other hand, the vast number of apps significantly increases the analysis complexity. In this paper, we propose Petridish which generates discriminative models against the repacked malicious apps. These representative models of malicious semantics can be progressively distilled with malign and benign samples. These models can further detect repacked malicious apps. Our experiment shows that, after two retraining rounds, Petridish achieved an average of 28 percent progressive detection improvement from 63 to 91.2 percent for the large families, exceeding 38 test samples in size. With noise reduction, it accomplished 88 percent detection rate and 1.7 percent false alarm rate. The characteristics aggregation approach will become critical in the age of app explosion.
  • Item type:Item,
    IoT Security: Ongoing Challenges and Research Opportunities
    (2014-01-01)
    Zhang, Zhi-Kai
    ;
    Cho, Michael Cheng Yi
    ;
    Wang, Chia-Wei
    ;
    Hsu, Chia-Wei
    ;
    Chen, Chong-Kuan
    The Internet of Things (IoT) opens opportunities for wearable devices, home appliances, and software to share and communicate information on the Internet. Given that the shared data contains a large amount of private information, preserving information security on the shared data is an important issue that cannot be neglected. In this paper, we begin with general information security background of IoT and continue on with information security related challenges that IoT will encountered. Finally, we will also point out research directions that could be the future work for the solutions to the security challenges that IoT encounters.
  • Item type:Item,
    Can Malware Be Exterminated by Better Understanding Its Roots?
    (2014-11-01)
    Cho, Michael Cheng Yi
    ;
    Hsu, Chia-Wei
    ;
    Shieh, Shiuhpyng
    ;
    Wang, Chi-Wei
    ;
    資訊工程學系