In recent years, two technologies, the cloud computing, and the Internet of Things (IoT) have a synergistic effect in the modern organizations as digitization is a new business trend for various industries. Therefore, many organizations outsource their crowdsourced Industrial-IoT (IIoT) data in the cloud system to reduce data management overhead. However, data authentication is one of the fundamental security/trust requirements in such IIoT network. Certificateless signature (CLS) scheme is a cryptographic primitive that provides data authenticity in IIoT systems. Recently, CLS has become a prime research focus due to its ability to solve the key-escrow problem in very recent identity-based signature technique. Many CLS schemes have already been developed using map-to-point (MTP) hash function and random oracle model (ROM). However, due to the implementation difficulty and probabilistic nature of MTP function and ROM, those CLSs are impractical. Hence, the development of a CLS for lightweight devices mounted in IIoT has become one of the most focused research trends. This paper presents a new pairing-based CLS scheme without MTP function and ROM. The new CLS is secure against both the Type-I and Type-II adversaries under the hardness of Extended Bilinear Strong Diffie-Hellman (EBSDH) and Bilinear Strong Diffie-Hellman (BSDH) assumptions, respectively. Performance evaluation and comparison proves that our scheme outperforms other CLS schemes.

Nowadays, the Internet of Things (IoT) and cloud computing have become more pervasive in the context of the industry as digitization becomes a business priority for various organizations. Therefore, industries outsource their crowdsourced Industrial IoT (IIoT) data in the cloud in order to reduce the cost for sharing data and computation. However, the privacy of such crowdsourced data in this environment has attracted wide attention across the globe. Signcryption is the significant cryptographic primitive that meets both the requirement of authenticity and confidentiality of crowdsourced data among users/industries, and thus, it is ideal for ensuring secure authentic data storage and transmission in industrial crowdsourcing environments. In this work, we introduce a new identity-based signcryption (IBSC) scheme using bilinear pairing for IIoT deployment. Besides, two hard problems are studied, called as, modified bilinear Diffie-Hellman inversion (MBDHI) assumption and modified bilinear strong Diffie-Hellman (MBSDH) assumption. The rigorous security analysis demonstrates that our IBSC scheme for IIoT is provably secure based on the intractability of decisional-MBDHI and MBSDH assumptions under formal security model without considering the concept of the random oracle. The performance comparison with other signcryption schemes shows satisfactory results. Thus, our IBSC scheme is appropriate for IIoT crowdsourcing environments, and also applicable for low-bandwidth communications.

Internet-of-Things (IoT)-based wireless body area networks (WBANs) play an important role in modern medical systems for patient-health monitoring. WBANs have the capability to collect real-time biological information from the patients' body using intelligent sensors and then send the collected information to the remote doctors or medical experts using the Internet. In recent years, numerous anonymous authentication schemes were proposed to provide security in WBANs. However, many of these schemes are not computationally efficient during anonymous authentication. Moreover, the previous schemes did not provide location privacy for both doctors and patients. In order to overcome these limitations, in this article, we propose an efficient and secure anonymous authentication framework with location privacy preservation for IoT-based WBANs. The comprehensive analysis section shows that the proposed scheme overcomes the security weaknesses in the existing schemes and also provides low computation cost during anonymous authentication.