With cloud computing being integrated with wireless body area networks, the digital ecosystem called cloud-assisted WBAN was proposed. In cloud-assisted medical systems, the integrity of the stored data is important. Recently, based on certificateless public key cryptography, He et al. proposed a certificateless public auditing scheme for cloud-assisted WBANs. But He et al.’s scheme is not a scheme with privacy preserving. After many checks on some of the same data blocks, the auditor can derive these data blocks. In this paper, we propose a certificateless public auditing scheme with privacy preserving for cloud-assisted WBANs. In the proof phase of the proposed scheme, the proof information is protected from being directly exposed to the auditor. So, the curious auditor could not derive the data blocks. We also prove that the proposed scheme is secure in the random oracle model under the assumption that the Diffie-Hellman problem is hard, and we give a comparison of the proposed scheme with He et al.’s scheme in terms of security and computation cost.

Recently, a number of authentication protocols integrated with the Internet of Things (IoT) and cloud computing have been proposed for secure access control on large-scale IoT networks. In this paper, we carefully analyze Amin et al.’s authentication protocol for IoT-enabled devices in distributed cloud computing environment and find that Amin et al.’s protocol is vulnerable to several weaknesses. The main shortcoming of Amin et al.’s protocol is in authentication phase; a malicious cloud server can counterfeit the cloud server chosen by a user, and the control server cannot find this counterfeit. To overcome the shortcomings of Amin et al.’s protocol, we propose an improved protocol. In the registration phase of the improved protocol, the pseudoidentity and real identity of a user or a cloud server are bundled up with the control server’s secret numbers. This measure can effectively prevent impersonation attack. We also compare the improved protocol with several existing authentication protocols in security and computational efficiency.

Aggregate signature can aggregate n signatures on n messages from n signers into a single signature that convinces any verifier that n signers sign the n messages, respectively. In this paper, by combining certificateless public key cryptography and aggregate signatures, we propose an efficient certificateless aggregate signature scheme and prove its security. The new scheme is proved secure against the two representative types adversaries in certificateless aggregate signature under the assumption that computational Diffie-Hellman problem is hard. Furthermore, from the comparison of the computation cost of the new scheme with some existing certificateless aggregate signature schemes in group sum computation, scalar multiplication computation, Hash computation and abilinear pairings computation, it concludes that the new scheme reduces the computation cost in scalar multiplication computation in half and maintains the same in the other computation costs.

With the development of Internet, cloud computing has emerged to provide service to data users. But, it is necessary for an auditor on behalf of users to check the integrity of the data stored in the cloud. The cloud server also must ensure the privacy of the data. In a usual public integrity check scheme, the linear combination of data blocks is needed for verification. But, after times of auditing on the same data blocks, based on collected linear combinations, the auditor might derive these blocks. Recently, a number of public auditing schemes with privacy‐preserving are proposed. With blinded linear combinations of data blocks, the authors of these schemes believed that the auditor cannot derive any information about the data blocks and claimed that their schemes are provably secure in the random oracle model. In this paper, with detailed security analysis of these schemes, we show that these schemes are vulnerable to an attack from the malicious cloud server who modifies the data blocks and succeeds in forging proof information for data integrity check.