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In Intelligent transportation system (ITS) applications, such as road safety and traffic monitoring, useful information is frequently gathered and transmitted to the management center for analysis, to provide a wide range of control, communication, and management measures. However, privacy of users must be preserved, since data transmitted by users may reveal sensitive private information such as location, travel route, etc. In this paper, we propose a privacy-preserving data aggregation scheme for ITS applications. The proposed scheme employs the combination of modified Paillier cryptosystem, Chinese Remainder theorem, Boneh short signature, and hash function operations not only to aggregate data of heterogeneous vehicles into one but also to provide fault resilience in a scenario when some devices are malfunctioning and not reporting to the management center. In the proposed scheme, each vehicle collects its data and computes a one-time secret key shared with the gateway to mask its data. We develop a hash function-based technique to ensure the authenticity and integrity of the aggregated encrypted data without revealing the individual data. Security analysis shows that the proposed scheme is secure, privacy-preserving, and supports conditional traceability. Extensive performance analysis and comparison demonstrate that the scheme is significantly more efficient than the related schemes. [ABSTRACT FROM AUTHOR]

In this work, an autonomous lightweight certificateless aggregate signature-based data aggregation scheme for internet-of-things (IoT) is proposed. In the scheme, IoT terminals only need to contact the key generation center (KGC) once. Subsequently, they can generate their pseudonyms on their own without any interaction with the KGC. An efficient revocation mechanism is provided to punish malicious terminals. The proposed scheme is anonymous, can provide conditional traceability, resist various attacks, and solves private key compromise problem. The formal security proof demonstrates that the scheme is secure against both Type I and Type II adversaries in the random oracle model based on the intractability of the Discrete Logarithm Problem. The performance evaluation shows that the proposed scheme is more efficient than the state-of-the-art schemes and fits the resource-constraint IoT environment. [ABSTRACT FROM AUTHOR]