Secure and Privacy-Preserving Smartphone-Based Traffic Information Systems

Gisdakis, Stylianos; Manolopoulos, Vasileios; Tao, Shiquan; Rusu, Ana; Papadimitratos, Panagiotis

doi:10.1109/tits.2014.2369574

Cited by 36 publications

(23 citation statements)

References 43 publications

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“…As real-world measurements, we use Strata Clara (SC) dataset, from the Data Sensing Lab [45], as a reference point in the domain of environmental monitoring applications [2,5] The synthetic dataset is based on simulations of urban road links, emulating a traffic monitoring PS task [9]: drivers' smart-phones report their location and velocity to the RS. We consider 250 users and simulate urban road links (and traffic conditions) by generating "actual" location traces for each vehicle/mobile with the SUMO [46] traffic simulator.…”

Section: Methodsmentioning

confidence: 99%

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Gisdakis

Giannetsos

Papadimitratos

2015

Proceedings of the 8th ACM Conference on Security &Amp; Privacy in Wireless and Mobile Networks

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The openness of PS systems renders them vulnerable to malicious users that can pollute the measurement collection process, in an attempt to degrade the PS system data and, overall, its usefulness. Mitigating such adversarial behavior is hard. Cryptographic protection, authentication, authorization, and access control can help but they do not fully address the problem. Reports from faulty insiders (participants with credentials) can target the process intelligently, forcing the PS system to deviate from the actual sensed phenomenon. Filtering out those faulty reports is challenging, with practically no prior knowledge on the participants' trustworthiness, dynamically changing phenomena, and possibly large numbers of compromised devices. This paper proposes SHIELD, a novel data verification framework for PS systems that can complement any security architecture. SHIELD handles available, contradicting evidence, classifies efficiently incoming reports, and effectively separates and rejects those that are faulty. As a result, the deemed correct data can accurately represent the sensed phenomena, even when 45% of the reports are faulty, intelligently selected by coordinated adversaries and targeted optimally across the system's coverage area.

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Section: Methodsmentioning

confidence: 99%

Shield

Gisdakis

Giannetsos

Papadimitratos

2015

Proceedings of the 8th ACM Conference on Security &Amp; Privacy in Wireless and Mobile Networks

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“…The OpenUAT [158] is used by the scheme [63] to implement some intuitive authentication methods in a common library. To verify the secrecy of the real identity and the resistance against known attacks, four schemes [108], [102], [101], and [101] use the ProVerif [155], which is an automatic cryptographic protocol verifier, in the formal model, called Dolev-Yao model. Specifically, the ProVerif takes as input a model of the protocol in an extension of the pi calculus with cryptography.…”

Section: Techniquesmentioning

confidence: 99%

“…Recently, Mahmoud et al [109] proposed a privacy preserving power injection querying scheme over LTE cellular networks, to solve the problem of privacy exposure of storage unit owners. Therefore, the 4G/5G communications can be used by the traffic information systems [101]. Gisdakis et al [101] addressed the security and privacy protection aspects of smartphone-based traffic information systems.…”

Section: Protocol With Substring Functionmentioning

confidence: 99%

Security for 4G and 5G cellular networks: A survey of existing authentication and privacy-preserving schemes

Ferrag

Μαγλαράς

Argyriou

et al. 2018

Journal of Network and Computer Applications

218

112

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Abstract-This paper presents a comprehensive survey of existing authentication and privacy-preserving schemes for 4G and 5G cellular networks. We start by providing an overview of existing surveys that deal with 4G and 5G communications, applications, standardization, and security. Then, we give a classification of threat models in 4G and 5G cellular networks in four categories, including, attacks against privacy, attacks against integrity, attacks against availability, and attacks against authentication. We also provide a classification of countermeasures into three types of categories, including, cryptography methods, humans factors, and intrusion detection methods. The countermeasures and informal and formal security analysis techniques used by the authentication and privacy preserving schemes are summarized in form of tables. Based on the categorization of the authentication and privacy models, we classify these schemes in seven types, including, handover authentication with privacy, mutual authentication with privacy, RFID authentication with privacy, deniable authentication with privacy, authentication with mutual anonymity, authentication and key agreement with privacy, and three-factor authentication with privacy. In addition, we provide a taxonomy and comparison of authentication and privacypreserving schemes for 4G and 5G cellular networks in form of tables. Based on the current survey, several recommendations for further research are discussed at the end of this paper.

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“…For example, Gisdakis et al . propose a traffic information system with privacy preservation by using human‐carried smartphones; Wu et al . generate accurate large scale Received‐Signal‐Strength (RSS) maps for crowdsensing networks by smartphones; Konstantinidis et al .…”

Section: Related Workmentioning

confidence: 99%

An efficient privacy preserving data aggregation approach for mobile sensing

Zhang

Wang

et al. 2016

Security Comm. Networks

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The advances in sensing capabilities of smartphones give rise to a variety of mobile participatory sensing applications that collect users' personal data. Because of the existence of both sensitive, private personal data, and untrusted aggregator, serious privacy concerns on users arise. Currently, existing privacy preserving data collection methods either require bidirectional communications between an untrusted aggregator and mobile users in every aggregation period, or have high computation or communication overhead. To address these problems, we propose an efficient data aggregation approach by which an untrusted aggregator in mobile sensing can collect the statistics over the data contributed by multiple mobile users, while supporting privacy preservation of each user and data integrity verification. In this approach, information hiding and homomorphic encryption are applied to guarantee the data privacy of mobile users. In detail, a breadth‐first search tree is first constructed at the initial phase among the mobile users, and then the original datum of each user is perturbed among its neighbors in ciphertext space by using information hiding and homomorphic encryption. The evaluations of our approach show that our protocol requires lower communication and computation overhead and thus more feasible for the computation constrained mobile devices. Copyright © 2016 John Wiley & Sons, Ltd.

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Secure and Privacy-Preserving Smartphone-Based Traffic Information Systems

Cited by 36 publications

References 43 publications

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Security for 4G and 5G cellular networks: A survey of existing authentication and privacy-preserving schemes

An efficient privacy preserving data aggregation approach for mobile sensing

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