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- 저자 : Donghai Tian (검색결과 2 건)
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Quantizing Personal Privacy in Ubiquitous Computing
( Tinghuai Ma ),( Wei Tian ),( Donghai Guan ),( Sungyoung Lee ) 한국인터넷정보학회 2011 KSII Transactions on Internet and Information Syst Vol.5 No.9
Privacy is one of the most important and difficult research issues in ubiquitous computing. It is qualitative rather than quantitative. Privacy preserving mainly relies on policy based rules of the system, and users cannot adjust their privacy disclosure rules dynamically based on their wishes. To make users understand and control their privacy measurement, we present a scheme to quantize the personal privacy. We aim to configure the person``s privacy based on the numerical privacy level which can be dynamically adjusted. Instead of using the traditional simple rule engine, we implement this scheme in a complex way. In addition, we design the scenario to explain the implementation of our scheme. To the best of our knowledge, we are the first to assess personal privacy numerically to achieve precision privacy computing. The privacy measurement and disclosure model will be refined in the future work.
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Shellix : An Efficient Approach for Shellcode Detection
Mo Chen,Changzhen Hu,Donghai Tian,Xin Wang,Yuan Liu,Ning Li 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.6
Code injection attacks are widely used by attackers to compromise computer systems. Attackers could obtain the control of a victim's computer system by injecting shellcode to the vulnerable program. The existing solutions to detect shellcode can be grouped into two categories: static analysis and dynamic analysis. Static analysis can detect shellcode efficiently, but cannot handle the shellcode that employs obfuscation techniques. Dynamic analysis is able to detect the obfuscated shellcode, however it is still limited to detect the recent virtualization-aware shellcode. In this paper, we present a novel shellcode detection approach without using any virtualization technology. We implement our approach based on the commodity OS kernel which is compatible to the existing system. Our approach is able to detect the shellcode that could be aware of the virtualization environment and reduces the probability of exposing detection environment. Our experimental evaluations show that our system can effectively detect a large set of shellcode instances with good performance.
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