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- 저자 : Xiuqing Chen (검색결과 5 건)
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Cryptanalysis and Improvement of RFID Ownership Transfer Protocol
Xiuqing Chen,Qiang Zhao,Tianjie Cao,Jingxuan Zhai 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.12
The widespread use of Radio Frequency Identification (RFID) technologies help to trace a large number of commodity and share the tag information in the supply chain system. However, many ownership transfer protocols are subject to various attacks. We analyze the security of two protocols. Even if the designers claim that their protocols are security, we find that their schemes suffer from forward traceability attacks and tracing attacks. In addition, we show that a weak attacker can retrieve the secrets of the tag with a probability 1 in Kardaş et al.’s protocol. To resist against these attacks, we present an improved scheme based on Kardaş et al.’s protocol by adopting the new key-update mechanism. In the end, we show the enhanced versions provides the forward and backward untraceable security properties.
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Untraceable Analysis of Lightweight RFID Ownership Transfer Protocol
Xiuqing Chen,Tianjie Cao,Jingxuan Zhai,Yu Guo 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.8
Nowaday, the worldwide applications of RFID technologies have contributed to the development of supply chain system. However, to be confronted with various security and privacy issues in lightweight RFID protocols, the security analysis of lightweight ownership transfer (OT) protocols has become an important task. First and foremost, the passive attacker can further break down the security and privacy of three new published lightweight RFID protocols. Subsequently, the proposed protocol is designed to prevent the traceability attacks. Then, it is significant for us to show how to prove strong forward untraceable and backward untraceable of the improved scheme in security model.
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Security on Dynamic ID-based Authentication Schemes
Jingxuan Zhai,Tianjie Cao,Xiuqing Chen,Shi Huang 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.1
Dynamic ID-based authentication schemes based on password and smart card are widely used to provide two-factor authentication and user anonymity. However, these schemes have one or the other possible security weaknesses. In this paper, we analyze the schemes of Li et al. and Wang et al. published in recent years. After the analysis, we demonstrates that Li et al.’s schemes are vulnerable to off-line password guessing attack if the user’s identity is compromised, Li et al.’s scheme cannot withstand the impersonation attack and linkability attack, Wang et al.’s schemes cannot resist off-line password guessing attack if the attacker steals a smart card, Wang et al.’s schemes fail to provide forward security. Our result shows that none of the existing dynamic ID based authentication schemes can achieve all the desirable security goals.
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Chen Bingyao,Jiang Huiping,Wang Hui,Yang Guang,Hao Xiuqing 한국독성학회 2024 Toxicological Research Vol.40 No.2
Polychlorinated biphenyls (PCBs) are bioaccumulative persistent organic pollutants with a great impact on cetaceans. To examine the content of PCBs and their risks to finless porpoises, this study determined the concentrations of seven typical PCB congeners in 56 tissue samples of East Asian finless porpoises (EAFPs) sampled in 2009–2012 from Ningbo (29.8835° N, 122.0644° E), Pingtan (25.5133° N, 119.8172° E) and Lvsi (32.1035° N, 121.6078° E). PCB138, PCB153 and PCB101 were the predominant congeners, accounting for 31.15%, 18.59% and 15.75%, respectively, of all PCBs detected. The content of PCBs increased with age in males but decreased from juveniles to adults in females due to transfer to calves by reproduction and lactation. EAFPs in Ningbo and Pingtan accumulated more PCBs than those in Lvsi Port. The trophic positions of EAFPs from Lvsi, Pingtan and Ningbo were 9.41, 8.95 and 9.43, respectively. PCB concentrations did not accumulate significantly with increasing trophic levels. The risk quotient index indicated that the risk of trichlorobiphenyl (3-PCB), tetrachlorobiphenyl (4-PCB), pentachlorobiphenyls (5-PCB), and hexachlorobiphenyls (6-PCB) to EAFPs in the East China Sea was generally low and within safe limits thus far.
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Yinfei Yang,Bijun Hao,Xiuqing Hao,Liang Li,Ni Chen,Tao Xu,Khan M. Aqib,Ning He 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.21 No.11
Tool condition monitoring is deemed as an essential technology of the intelligent manufacturing. Tool wear which directly affects the tool life makes a negative influence on the quality and dimensional accuracy of the machined surface, even leads to tool breakage, machine downtime, and other severe problems. Therefore, an available tool condition monitoring system is essential for the machining process to guarantee the processing quality and improve the machining efficiency. This paper proposes a new tool condition monitoring method based on the general judgment of cutting force. Milling force from a single-flute is predicted by deducing a theoretical formula based on un-deformed chip thickness. Based on the formula, cutting force samples used for machine learning paradigms are generated through time domain translation and Gaussian distribution. Nonlinear manifold learning methods are applied in the visualization of high dimensional data. Principal component analysis as a practical feature extraction method is used to reduce the large dimensionality of the sample set. The performance of respectively linear kernel, polynomial kernel, radial basis function and sigmoid kernel are self-compared to estimate the classification results via support vector machine. Experiments are carried out on an annealed Ti–6Al–4V alloy to measure the feasibility of this method.
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