5 research outputs found

    AnonPri: A Secure Anonymous Private Authentication Protocol for RFID Systems

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    Privacy preservation in RFID systems is a very important issue in modern day world. Privacy activists have been worried about the invasion of user privacy while using various RFID systems and services. Hence, significant efforts have been made to design RFID systems that preserve users\u27 privacy. Majority of the privacy preserving protocols for RFID systems require the reader to search all tags in the system in order to identify a single RFID tag which not efficient for large scale systems. In order to achieve high-speed authentication in large-scale RFID systems, researchers propose tree-based approaches, in which any pair of tags share a number of key components. Another technique is to perform group-based authentication that improves the tradeoff between scalability and privacy by dividing the tags into a number of groups. This novel authentication scheme ensures privacy of the tags. However, the level of privacy provided by the scheme decreases as more and more tags are compromised. To address this issue, in this paper, we propose a group based anonymous private authentication protocol (AnonPri) that provides higher level of privacy than the above mentioned group based scheme and achieves better efficiency (in terms of providing privacy) than the approaches that prompt the reader to perform an exhaustive search. Our protocol guarantees that the adversary cannot link the tag responses even if she can learn the identifier of the tags. Our evaluation results demonstrates that the level of privacy provided by AnonPri is higher than that of the group based authentication technique

    AnonPri: A Secure Anonymous Private Authentication Protocol for RFID Systems

    Get PDF
    Privacy preservation in RFID systems is a very important issue in modern day world. Privacy activists have been worried about the invasion of user privacy while using various RFID systems and services. Hence, significant efforts have been made to design RFID systems that preserve users\u27 privacy. Majority of the privacy preserving protocols for RFID systems require the reader to search all tags in the system in order to identify a single RFID tag which not efficient for large scale systems. In order to achieve high-speed authentication in large-scale RFID systems, researchers propose tree-based approaches, in which any pair of tags share a number of key components. Another technique is to perform group-based authentication that improves the tradeoff between scalability and privacy by dividing the tags into a number of groups. This novel authentication scheme ensures privacy of the tags. However, the level of privacy provided by the scheme decreases as more and more tags are compromised. To address this issue, in this paper, we propose a group based anonymous private authentication protocol (AnonPri) that provides higher level of privacy than the above mentioned group based scheme and achieves better efficiency (in terms of providing privacy) than the approaches that prompt the reader to perform an exhaustive search. Our protocol guarantees that the adversary cannot link the tag responses even if she can learn the identifier of the tags. Our evaluation results demonstrates that the level of privacy provided by AnonPri is higher than that of the group based authentication technique

    A Privacy Preserving Framework for RFID Based Healthcare Systems

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    RFID (Radio Frequency IDentification) is anticipated to be a core technology that will be used in many practical applications of our life in near future. It has received considerable attention within the healthcare for almost a decade now. The technology’s promise to efficiently track hospital supplies, medical equipment, medications and patients is an attractive proposition to the healthcare industry. However, the prospect of wide spread use of RFID tags in the healthcare area has also triggered discussions regarding privacy, particularly because RFID data in transit may easily be intercepted and can be send to track its user (owner). In a nutshell, this technology has not really seen its true potential in healthcare industry since privacy concerns raised by the tag bearers are not properly addressed by existing identification techniques. There are two major types of privacy preservation techniques that are required in an RFID based healthcare system—(1) a privacy preserving authentication protocol is required while sensing RFID tags for different identification and monitoring purposes, and (2) a privacy preserving access control mechanism is required to restrict unauthorized access of private information while providing healthcare services using the tag ID. In this paper, we propose a framework (PriSens-HSAC) that makes an effort to address the above mentioned two privacy issues. To the best of our knowledge, it is the first framework to provide increased privacy in RFID based healthcare systems, using RFID authentication along with access control technique

    Key-Indistinguishable Message Authentication Codes

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    While standard message authentication codes (MACs) guarantee authenticity of messages, they do not, in general, guarantee the anonymity of the sender and recipient. For example it may be easy for an observer to determine whether or not two authenticated messages were sent by the same party even without any information about the secret key used. However preserving any uncertainty an attacker may have about the identities of honest parties engaged in authenticated communication is an important goal of many cryptographic applications. For example this is stated as an explicit goal of modern cellphone authentication protocols~\cite{3GPP} and RFID based authentication systems\cite{Vaudenay10}. In this work we introduce and construct a new fundamental cryptographic primitive called \emph{key indistinguishable} (KI) MACs. These can be used to realize many of the most important higher-level applications requiring some form of anonymity and authenticity~\cite{AHMPR14}. We show that much (though not all) of the modular MAC construction framework of~\cite{DodisKPW12} gives rise to several variants of KI MACs. On the one hand, we show that KI MACs can be built from hash proof systems and certain weak PRFs allowing us to base security on such assumption as DDH, CDH and LWE. Next we show that the two direct constructions from the LPN assumption of~\cite{DodisKPW12} are KI, resulting in particularly efficient constructions based on structured assumptions. On the other hand, we also give a very simple and efficient construction based on a PRF which allows us to base KI MACs on some ideal primitives such as an ideal compression function (using HMAC) or block-cipher (using say CBC-MAC). In particular, by using our PRF construction, many real-world implementations of MACs can be easily and cheaply modified to obtain a KI MAC. Finally we show that the transformations of~\cite{DodisKPW12} for increasing the domain size of a MAC as well as for strengthening the type of unforgeability it provides also preserve (or even strengthen) the type of KI enjoyed by the MAC. All together these results provide a wide range of assumptions and construction paths for building various flavors of this new primitive

    A Secure and private RFID authentication protocol under SLPN problem

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    Authentication is one of the prominent features of RFID system. As wireless link between the tag and the reader in an RFID system is vulnerable against active adversary, ample research has been done in this area. In this paper, we present a novel, efficient and privacy preserving mutual authentication protocol of HB-family to meet the demand of low-cost tags. It is composed of Subspace Learning Parity from Noise problem (SLPN) and pseudo-inverse matrix properties; both of them significantly minimize the cost in terms of computation and hardware requirements. We compare our protocol with other existing HB and non-HB authentication protocols according to their construction and achievements of security and privacy attributes.6th International Conference, NSS 2012, Wuyishan, Fujian, China, November 21-23, 2012. Proceeding
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