34 research outputs found

    Comments on "Proving Reliability of Anonymous Information in VANETs" by Kounga et al.

    Get PDF

    Securing emergent behaviour in swarm robotics

    Get PDF

    Non-disjoint strong external difference families can have any number of sets

    Full text link
    Strong external difference families (SEDFs) are much-studied combinatorial objects motivated by an information security application. A well-known conjecture states that only one abelian SEDF with more than 2 sets exists. We show that if the disjointness condition is replaced by non-disjointness, then abelian SEDFs can be constructed with more than 2 sets (indeed any number of sets). We demonstrate that the non-disjoint analogue has striking differences to, and connections with, the classical SEDF and arises naturally via another coding application

    Comments on the security of the SPAPA strong password

    Get PDF
    The hash function based Strong Password Authentication Protocol with User Anonymity (SPAPA) was designed to protect users against monitoring by utilising temporary identities instead of true identities. In this letter we show that it is vulnerable to several attacks, including two which allow an adversary to link the activities of a user

    Reputation Schemes for Pervasive Social Networks with Anonymity

    Get PDF

    Threshold Anonymous Announcement in VANETs.

    Get PDF
    Vehicular ad hoc networks (VANETs) allow wireless communications between vehicles without the aid of a central server. Reliable exchanges of information about road and traffic conditions allow a safer and more comfortable travelling environment. However, such profusion of information may allow unscrupulous parties to violate user privacy. On the other hand, a degree of auditability is desired for law enforcement and maintenance purposes. In this paper we propose a Threshold Anonymous Announcement service using direct anonymous attestation and one-time anonymous authentication to simultaneously achieve the seemingly contradictory goals of reliability, privacy and auditability
    corecore