4,878 research outputs found

    IPhone Securtity Analysis

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    The release of Apple’s iPhone was one of the most intensively publicized product releases in the history of mobile devices. While the iPhone wowed users with its exciting design and features, it also outraged many for not allowing installation of third party applications and for working exclusively with AT&T wireless services for the first two years. Software attacks have been developed to get around both limitations. The development of those attacks and further evaluation revealed several vulnerabilities in iPhone security. In this paper, we examine several of the attacks developed for the iPhone as a way of investigating the iPhone’s security structure. We also analyze the security holes that have been discovered and make suggestions for improving iPhone security

    Ciphertext only attacks against GSM security

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    Mobile communications play a center role in today's connected society. The security of the cellular networks that connect billions of people is of the utmost importance. However, even though modern third generation and fourth generation cellular networks (3G and 4G) provide an adequate level of security in the radio interface, most networks and mobile handsets can fall back to the old GSM standard designed almost three decades ago, which has several known security weaknesses. In this work we study the security provided by the family of ciphering algoritms known as A5 that protects the radio access network of GSM, with emphasis on A5/1. We review the existing attacks against A5/1 and existing countermeasures, and show that the existing ciphertext only attacks against algorithm A5/1 [9], adapted to use the most recent Time Memory Data Tradeoff, are realistic threats to fielded GSM networks when attacked by a resourceful attacker which uses current state of the art GPUs and CPUs. We also study the existing Time Memory Data Tradeoff algorithms, extending the best known results for the Perfect Fuzzy Rainbow Tradeoff attack to the multi target case. These results allow the practitioner to calculate the parameters and tradeooff constants that best suit his application. We implemented the algorithms using parallel programming on CUDA GPUs and successfully validated the theoretical estimations. The main contributions of this work can be summarized as follows: Extending the existing best results for the Perfect Fuzzy Rainbow Tradeoff attack in the single target scenario to the multi target scenario. Validating the theoretical calculation of the parameters and tradeoff constants of the Perfect Fuzzy Rainbow tradeoff through implementation for several scenarios. Describing one of the possible procedures for the choice of parameters for the Perfect Fuzzy Rainbow tradeoff. Presenting a new ciphertext only attack against A5/1 using the voice channel in GSM communication. Calculating the details of the ciphertext only attack in [9] and showing that the attack is a realistic threat today using a perfect fuzzy rainbow tradeoff attack and modern GPUs

    Personal rights management (PRM) : enabling privacy rights in digital online media content

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    With ubiquitous use of digital camera devices, especially in mobile phones, privacy is no longer threatened by governments and companies only. The new technology creates a new threat by ordinary people, who now have the means to take and distribute pictures of one’s face at no risk and little cost in any situation in public and private spaces. Fast distribution via web based photo albums, online communities and web pages expose an individual’s private life to the public in unpreceeded ways. Social and legal measures are increasingly taken to deal with this problem. In practice however, they lack efficiency, as they are hard to enforce in practice. In this paper, we discuss a supportive infrastructure aiming for the distribution channel; as soon as the picture is publicly available, the exposed individual has a chance to find it and take proper action.Wir stellen ein System zur Wahrnehmung des Rechts am eigenen Bild bei der Veröffentlichung digitaler Fotos, zum Beispiel von Handykameras, im Internet vor. Zur Entdeckung der Veröffentlichung schlagen wir ein Watermarking-Verfahren vor, welches das Auffinden der Bilder durch die potentiell abgebildeten Personen ermöglicht, ohne die Rechte des Fotografen einzuschränken
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