Secure limitation analysis of public-key cryptography for smart card settings

Tian, Youliang; Li, Qiuxian; Hu, Jia; Lin, Hui

doi:10.1007/s11280-019-00715-8

Cited by 14 publications

(7 citation statements)

References 23 publications

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“…The paper "Secure Limitation Analysis of Public-key Cryptography for Smart Card Settings" [38] focuses on a special case of smart card used in intelligent application systems with high security requirements. The authors first summarize the features of three main types of attacks in smart card security, including invasive attacks, semi-invasive attacks, and noninvasive attacks, and review the public key cryptography algorithms regarding security issues.…”

Section: Privacy and Security In Smart Computingmentioning

confidence: 99%

Smart computing and cyber technology for cyberization

et al. 2020

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Following the well-known concepts of computerization and informatization, an emerging era of cyberization, which is considered as a reformation of the present physical, social and mental worlds, has become a hotly discussed trend in the new cyber world. Cyberization refers to using communication and computer technologies to interconnect computers and various electronic terminal devices distributed in different locations. It allows users to share software, hardware and data resources according to certain network protocols. Cyberization has greatly improved the practical utility of computers and has been widely applied in transportation, finance, business management, education, telecommunications, commerce, and so on in our daily life [1]. During the cyberization process, a large number of real things will conjugatively map to various kinds and levels of cyber existence in cyber world. It is said that cyberization has already taken place in a variety of fields along with the development of several emerging computing paradigms and information communication technologies, such as ubiquitous/ pervasive computing, social computing and networking, and wearable technologies, etc. Specifically, with the rapid growth of Internet of Things and cognitive cyber-physical systems, more and more digital things or cyber entities, are engaged or generated in the integrated cyber world. Emerging technologies in smart environments, such as smart computing and smart objects, become very significant, promising, and enabling issues in cyberization, to enhance

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Section: Privacy and Security In Smart Computingmentioning

confidence: 99%

Smart computing and cyber technology for cyberization

et al. 2020

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“…Theorem 1 (Shannon Channel Coding Theory): For discrete memoryless channels, all the bit rates smaller than channel capacity C are reachable, or it can be visually interpreted that all signals whose bit rates do not exceed channel capacity C can be transmitted from the sender to the receiver without error [4].…”

Section: B Relevant Basis Of Information Theorymentioning

confidence: 99%

“…In this paper, according to information theory, the attack and defense is regarded as the sender of communication, and an information receiver is constructed for them respectively, so we simulate the attack or defense process as a whole communication process. The successful transmission of 1 bit in the attack channel means that the attacker has successfully attacked once, and the successful transmission of 1 bit in the defense channel means that the defender has successfully defended once [3], [4]. Then, we describe the limitation of the capability of the attacking and defending sides by the channel capacity and analyze the effect of the change of k value on the capability of both attack and defense.…”

Section: Introductionmentioning

confidence: 99%

Towards Attack and Defense Views to K-Anonymous Using Information Theory Approach

et al. 2019

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Ensuring multimedia content security is one of the main targets to solve multimedia information security problems and k-anonymous model is a classic and effective model to protect personal information when we publish multimedia data. The k-anonymous security with different k values has always been a hot topic of research, and there is no specific quantitative method for k-anonymous model security without considering any application scenarios or assumptions. In this paper, we give a quantitative method for the capability of attacker and defender under k-anonymous model. More specifically, we present a new general notion of limitation to provide a precise bound of attack and defense capability in a k-anonymous model. Firstly, we establish the attack channel and the defense channel from the point of the attacker's and the defender's view respectively. Moreover, we describe the capability of both attacking and defending sides by introducing the average mutual information, as well as the maximum value of the the average mutual information is the limitation of the capability of both sides, i.e. the channel capacity. Finally, according to the variation curve of the average mutual information amount, we compare the capability of the attacker and defender and analyze the effect of k value on it and get the best interval of k, that is, the value of k should be greater than 8 and less than 40.

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“…Related researchers have studied secure data deletion and obtained certain research findings. Xiong et al [19] introduced and analyzed related methods of secure data deletion based on cryptography [20].…”

Section: Introductionmentioning

confidence: 99%

CP-ABE-Based Secure and Verifiable Data Deletion in Cloud

Wang

Xiong

et al. 2021

Security and Communication Networks

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Cloud data, the ownership of which is separated from their administration, usually contain users’ private information, especially in the fifth-generation mobile communication (5G) environment, because of collecting data from various smart mobile devices inevitably containing personal information. If it is not securely deleted in time or the result of data deletion cannot be verified after their expiration, this will lead to serious issues, such as unauthorized access and data privacy disclosure. Therefore, this affects the security of cloud data and hinders the development of cloud computing services seriously. In this paper, we propose a novel secure data deletion and verification (SDVC) scheme based on CP-ABE to achieve fine-grained secure data deletion and deletion verification for cloud data. Based on the idea of access policy in CP-ABE, we construct an attribute association tree to implement fast revoking attribute and reencrypting key to achieve fine-grained control of secure key deletion. Furthermore, we build a rule transposition algorithm to generate random data blocks and combine the overwriting technology with the Merkle hash tree to implement secure ciphertext deletion and generate a validator, which is then used to verify the result of data deletion. We prove the security of the SDVC scheme under the standard model and verify the correctness and effectiveness of the SDVC scheme through theoretical analysis and ample simulation experiment results.

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Secure limitation analysis of public-key cryptography for smart card settings

Cited by 14 publications

References 23 publications

Smart computing and cyber technology for cyberization

Smart computing and cyber technology for cyberization

Towards Attack and Defense Views to K-Anonymous Using Information Theory Approach

CP-ABE-Based Secure and Verifiable Data Deletion in Cloud

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