107,175 research outputs found
Algorithm design for grip-pattern verification in smart gun
The Secure Grip project1 focuses on the development of a hand-grip pattern recognition system, as part of the smart gun. Its target customer is the police. To explore the authentication performance of this system, we collected data from a group of police officers, and made authentication simulations based on a likelihood-ratio classifier. This smart gun system has been proved to be useful in the authentication of the police officers. However, its authentication performance needs some further improvement, especially when data for training and testing were collected with some time in between. We present and analyze the simulation results of the authentication experiment. Based on the analyses, we propose some methods to improve the systemÂżs authentication performance
AnonPri: A Secure Anonymous Private Authentication Protocol for RFID Systems
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
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
Secure Mobile Social Networks using USIM in a Closed Environment
Online social networking and corresponding mobile based applications are gaining popularity and now considered
a well-integrated service within mobile devices. Basic security mechanisms normally based on passwords for the authentication of social-network users are widely deployed and poses a threat for the user security. In particular, for dedicated social groups with high confidentiality and privacy demands, stronger and user friendly principles for the authentication and identification of group members are needed. On the other hand, most of the mobile units already provide strong authentication procedures through the USIM/ISIM module. This paper explores how to build an architectural framework for secure enrollment and identification of group members in dedicated closed social groups using the USIM/SIM authentication and in particular, the 3GPP Generic Authentication Architecture (GAA), which is built upon the USIM/SIM capabilities. One part of the research is to identify the marketable use-cases with corresponding security challenges to fulfill the requirements that extend beyond the online connectivity. This paper proposes a secure identification design to satisfy the security dimensions for both online and offline peers. We have also implemented an initial proof of the concept prototype to simulate the secure identification procedure based on the proposed design. Our implementation has demonstrated the flexibility of the solution to be applied independently for applications requiring secure identification
A Novel Design of Membership Authentication and Group Key Establishment Protocol
A new type of authentication, called group authentication, has been proposed recently which can authenticate all users belonging to the same group at once in a group communication. However, the group authentication can only detect the existence of nonmembers but cannot identify who are the nonmembers. Furthermore, in a group communication, it needs not only to authenticate memberships but also to establish a group key among all members. In this paper, we propose a novel design to provide both membership authentication and group key establishment. Our proposed membership authentication can not only detect nonmembers but also identify who are the nonmembers. We first propose a basic membership authentication and key establishment protocol which can only support one-time group communication. Then, we extend the basic protocol to support multiple group communications. Our design is unique since tokens of users issued by a group manager (GM) during registration are used for both membership authentication and group key establishment
A Multi-Factor Homomorphic Encryption based Method for Authenticated Access to IoT Devices
Authentication is the first defence mechanism in many electronic systems,
including Internet of Things (IoT) applications, as it is essential for other
security services such as intrusion detection. As existing authentication
solutions proposed for IoT environments do not provide multi-level
authentication assurance, particularly for device-to-device authentication
scenarios, we recently proposed the M2I (Multi-Factor Multi-Level and
Interaction based Authentication) framework to facilitate multi-factor
authentication of devices in device-to-device and device-to-multiDevice
interactions. In this paper, we extend the framework to address group
authentication. Two Many-to-One (M2O) protocols are proposed, the Hybrid Group
Authentication and Key Acquisition (HGAKA) protocol and the Hybrid Group Access
(HGA) protocol. The protocols use a combination of symmetric and asymmetric
cryptographic primitives to facilitate multifactor group authentication. The
informal analysis and formal security verification show that the protocols
satisfy the desirable security requirements and are secure against
authentication attacks
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