A Survey on Mix Networks and Their Secure Applications

Sampigethaya, Krishna; Poovendran, Radha

doi:10.1109/jproc.2006.889687

Cited by 81 publications

(42 citation statements)

References 59 publications

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“…The underlying HPSN [10] provides a mix network [13] or onion network [14], which provides for anonymity of the submitter as well as secure communication. Such approaches utilize a chain of proxy servers, which can provide anonymity for both parties, though in this case it is only required for the mobile device user.…”

Section: Effect Capturementioning

confidence: 99%

A Sensor-based Learning Public Health System

Steele¹,

Clarke²

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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New smartphone technologies for the first time provide a platform for a new type of on-person, public health data collection and also a new type of informational public health intervention. In such interventions, it is the device via automatically collecting data relevant to the individual's health that triggers the receipt of an informational public health intervention relevant to that individual. This will enable far more targeted and personalized public health interventions than previously possible. However, furthermore, sensorbased public health data collection, combined with such informational public health interventions provides the underlying platform for a novel and powerful new form of learning public health system. In this paper we provide an architecture for such a sensor-based learning public health system, in particular one which maintains the anonymity of its individual participants, we describe its algorithm for iterative public health intervention improvement, and examine and provide an evaluation of its anonymity maintaining characteristics.

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Section: Effect Capturementioning

confidence: 99%

A Sensor-based Learning Public Health System

Steele¹,

Clarke²

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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“…Several studies in the mixnet literature have investigated this well-known tradeoff between anonymity and latency [35].…”

Section: B Limitations Of the Group Conceptmentioning

confidence: 99%

“…The time that a vehicle remains in the nonoverheard region while broadcasting safety messages, varies from [(RSU sep − 2r 0 )/s max , (RSU sep − 2r 0 )/s min ], where s min , s max are the minimum and maximum vehicle speeds, respectively. If the RSU sep = 1 km, 2 km, the silent period range is [10,20] secs, [35,70] secs, respectively, for a freeway. As a result, an increase in RSU sep , increases the time period of being not overheard, resulting in enhancement of anonymity as shown in Fig.…”

Section: G Comparison Of Silent Period With Rsu Separationmentioning

confidence: 99%

AMOEBA: Robust Location Privacy Scheme for VANET

Sampigethaya

Huang³

et al. 2007

IEEE J. Select. Areas Commun.

408

321

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Abstract-Communication messages in vehicular ad hoc networks (VANET) can be used to locate and track vehicles. While tracking can be beneficial for vehicle navigation, it can also lead to threats on location privacy of vehicle user. In this paper, we address the problem of mitigating unauthorized tracking of vehicles based on their broadcast communications, to enhance the user location privacy in VANET. Compared to other mobile networks, VANET exhibits unique characteristics in terms of vehicular mobility constraints, application requirements such as a safety message broadcast period, and vehicular network connectivity. Based on the observed characteristics, we propose a scheme called AMOEBA, that provides location privacy by utilizing the group navigation of vehicles. By simulating vehicular mobility in freeways and streets, the performance of the proposed scheme is evaluated under VANET application constraints and two passive adversary models. We make use of vehicular groups for anonymous access to location based service applications in VANET, for user privacy protection. The robustness of the user privacy provided is considered under various attacks.

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“…Radvin in [10] introduces another protocol in same method. In [5], [11], [14], [15], are another protocols that are base on blind signature. In [1], [2], [6], [9], we are introduced protocol who are base on anonymous Channel, homomorphic encryption and mix nets.…”

Section: Related Workmentioning

confidence: 99%

A Novel secure protocol, IES, for Mobile Voting

Izadi¹

2012

IOSRJEN

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A Survey on Mix Networks and Their Secure Applications

Cited by 81 publications

References 59 publications

A Sensor-based Learning Public Health System

A Sensor-based Learning Public Health System

AMOEBA: Robust Location Privacy Scheme for VANET

A Novel secure protocol, IES, for Mobile Voting

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