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- 저자 : Jiujun Cheng (검색결과 3 건)
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Mechanism on Computer Access Permission Management Based on the Proposed Dynamic Password Algorithm
Jiujun Cheng,Yang Yang,Jianyu Shao,Jingxue Liao 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.11
With the rapid development of information technology, personal computer privacy and permission management are becoming more and more important. Based on RSA encryption algorithm, we design a dynamic password encryption and codec algorithm, and propose a mechanism on computer access permission management which is capable of dealing with situations both online and offline. In the offline mode, administrators can authenticate users by matching their contact information to that registered in administrators’ mobile terminal. Generated by the co-work of a personal computer and a mobile terminal, the dynamic password makes cracking the password a trickier task. Permission control information is also added into the dynamic password, and file filter system will be loaded once the screen is successfully unlocked, so as to protect private directories or files from being accessed without authorization. In online mode, the system provides real-time video for identity verification, which makes the system more secure and convenient. Experiment results show that this dynamic password based mechanism on computer access permission management is efficient in dealing with existing problems in personal privacy and access permission management.
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A Scalable Live Streaming Media Distribution Service for Peer-to-Peer Network
Jiujun Cheng,Chungang Yan,Kuifei Yu,Jian Ma 보안공학연구지원센터 2008 International Journal of Hybrid Information Techno Vol.1 No.4
Live streaming media distribution in a large scale P2P network and the impact on the real-time caused by the dynamicity of peers are still not well resolved. In order to address this problem, a scalable live streaming media distribution service in P2P network is presented. Our approach is that the P2P network combining tree with clusters is designed, and some super-peers are reserved in all clusters. In addition, we adopt the maximum accepted connection number of each super-peer and its average disposing delay to select the optimal father peer, and the limitation of packet discard between super-peers is given. The experiment results show that the distribution service assures the improvement of real-time and scalability in the large-scale P2P network.
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Yingbo Liu,Jiujun Cheng,Chendan Yan,Xiao Wu,Fuzhen Chen 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.1
The personalized recommendation systems could better improve the personalized service for network user and alleviate the problem of information overload in the Internet. As we all know, the key point of being a successful recommendation system is the performance of recommendation algorithm. When scholars put forward some new recommendation algorithms, they claim that the new algorithms have been improved in some respects, better than previous algorithm. So we need some evaluation metrics to evaluate the algorithm performance. Due to the scholar didn’t fully understand the evaluation mechanism of recommendation algorithms. They mainly emphasized some specific evaluation metrics like Accuracy, Diversity. What’s more, the academia did not establish a complete and unified assessment of recommendation algorithms evaluation system which is credibility to do the work of recommendation evaluation. So how to do this work objective and reasonable is still a challengeable task. In this article, we discussed the present evaluation metrics with its respective advantages and disadvantages. Then, we put forward to use the Matthews Correlation Coefficient to evaluate the recommendation algorithm’s performance. All this based on an open source projects called mahout which provides a rich set of components to construct the classic recommendation algorithm. The results of the experiments show that the applicability of Matthews correlation coefficient in the relative evaluation work of recommendation algorithm.
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