In the recent past, great attention has been directed toward road surface condition monitoring. As a matter of fact, this activity is of critical importance in transportation infrastructure management. In response, multiple solutions have been proposed which make use of mobile sensing, more specifically contemporary applications and architectures that are used in both crowdsensing and vehicle-based sensing. This has allowed for automated control as well as analysis of road surface quality. These innovations have thus encouraged and showed the importance of cloud to provide reliable transport services to clients. Nonetheless, these initiatives have not been without challenges that range from mobility support, locational awareness, low latency, as well as geo-distribution. As a result, a new term has been coined for this novel paradigm, called, fog computing. In this paper, we propose a privacy-preserving protocol for enhancing security in vehicular crowdsensing-based road surface condition monitoring system using fog computing. At the onset, this paper proposes a certificateless aggregate signcryption scheme that is highly efficient. On the basis of the proposed scheme, a data transmission protocol for monitoring road surface conditions is designed with security aspects such as information confidentiality, mutual authenticity, integrity, privacy, as well as anonymity. In analyzing the system, the ability of the proposed protocol to achieve the set objectives and exercise higher efficiency with respect to computational and communication abilities in comparison to existing systems is also considered.

The essential characteristics of blockchain, such as immutability and auditability, are leading to its increasing incorporation into society. The Internet of Things (IoT) aims to create a decentralized framework for IoT and enhance security. The processing of transactions for different IoT applications poses challenges for the convergence of IoT and blockchain due to varying performance requirements. In addition, it is important to note that the dispersed IoT systems membership may change when an IoT device adds or departs from it. As the system becomes dynamic, it presents new difficulties for managing devices. Accordingly, a dynamic application block generation (DABG) scheme for blockchain-enabled IoT with dynamic device management and conditional traceability is proposed. To begin, it is necessary to construct a framework for an IoT system based on a consortium blockchain. This framework should consist of structures for dynamic application transactions and blocks, as well as a consensus mechanism. Miners are presented in distinct ways to adaptively process urgent and routine application transactions. A protocol based on group signature, known as DABG, is proposed for this framework. It is possible to achieve nonframeability, traceability, and anonymity by the use of the group signature. The suggested method may quickly validate transactions, manage devices in a dynamic manner, enable conditional traceability while maintaining data security, and keep users privacy intact. This is made possible by merging time-bound keys in the group signatures and node in the blockchain. Extensive testing has shown that the strategy in question has the potential to achieve very high levels of effectiveness.

Purpose: In line with the fast development of information technology, the Internet of Medical Robotic Things (IoMRT) is gaining more ground in health care. Sharing patients' information effectively and securely can improve sensing data usage and confidentiality. Nevertheless, current IoMRT data sharing schemes are lacking in terms of supporting efficient forward secrecy; when secret key for a robotic nurse as a data requester is compromised, all the historically shared data with this robotic nurse will be leaked.Design/methodology/approach: The presented paper suggests an efficient puncturable attribute-based data sharing scheme enabling guaranteed firm security and versatile access control over health sensing data in IoMRT. This scheme integrates attribute-based and puncturable encryption to avail a shared secret key for data sharing that can be encrypted by an access structure over the Data Requester (DR) attributes. Additionally, the establishment of the shared key and the mutual authentication is simultaneously done between the cloud servers and DRs.Findings: The proposed scheme can achieve forward secrecy by adopting the bloom filter technique that efficiently helps the updating of a private key with no need for the key distributor to reissue the key. The security proof illustrates that this scheme adheres to the security model. Besides, the performance evaluation expresses the feasibility of the suggested scheme.Originality/value: The main goal of designing a puncture algorithm is to devise an updated key from the ciphertext and a secret key, allowing the decryption of all ciphertexts except the one that has been punctured on. This research illustrates the first effort to develop a puncturable attribute-based encryption scheme to achieve efficient finegrained data sharing in IoMRT.