Summary Computations offload for multi‐party computation (MPC) in the Industrial Internet of Things (IIoT) involves the transfer of resource‐intensive industrial computations of resource‐constraint industrial nodes (sourcers) to idle and powerful nodes (workers) such as hardware accelerator grids, IIoT gateways, and cloud servers. However, verifying the results of the offloaded computations and solving the ensuing security and privacy problems have been the drawbacks of MPC in IIoT. Although the morphism approach is currently being used for ensuring the correctness of the results of the outsource computations, it has been proved that its overhead increases as the number of the computations increases. In this article, we formulate a secure offloading scheme capable of achieving perfect verification of the results using reputation and morphism and providing security requirements for effective MPC. Performance and security analyses show that the scheme is not only secure, but also ensures privacy preservation, fairness, and perfect verification of the result at a low cost.

Recently, a smart controller incorporated with sophisticated filter, machine learning, and Internet of things (IoT) technologies is being adopted to optimize the biogas production processes. A smart biogas plant involves a controlled biophysical system, incorporating both thermo-fluidic and IoT devices for extracting data and controlling the electro-mechanical subsystems. Meanwhile, the availability of sensitive biogas data and control information for the electro-mechanical subsystems and reservoirs of pressurized explosive gases make it attractive and susceptible to different cyber-attacks. An adversary can easily weaponize the unsecured biogas plants releasing the pressurized methane gas, poisonous gas such as hydrogen sulfide, ammonium, and pathogenic agents. Aside from this, the smart controller has a limited storage capacity and thus needs to upload their data to the cloud, which is not immune to cyber attacks. In this paper, we propose a secure framework with the routing scheme for largescale biogas plants. The routing scheme uses the n-divide loyalty pairing approach, symmetric encryption, and hash function to secure data and control information in and out of the framework. This makes the scheme to be resilient to second preimage, duplicating, and black hole attacks. For effective process control, the framework adopts master-slave control architecture, where the smart controller of each plant acts as a slave controller to a centralized master controller. The experimental results show that the scheme has low computation and communication costs required for sensor and actuators based system.

Unique constraints associated with wireless sensor networks notably, limited resources and physical exposure of sensor nodes have warranted the need for a lightweight and low energy demand security mechanisms for wireless sensor networks (WSNs). Most of the existing security schemes demand computational power beyond the computational capacity of WSNs making them unsuitable security schemes for WSNs' routing protocols. In this work, a lightweight security and privacy scheme for WSNs' routing protocol is developed. An elliptic curve cryptography, scalar blinding, symmetric encryption, and modified Diffie Hellman key exchange protocol are adopted to evolve an additive perturbation that ensures data integrity, and an effective authentication that ensure confidentiality during routing. The security analysis shows that the scheme is secured against possible known attacks and performs better than some of the considered state-of-the-art schemes used in WSNs. Both the analytical and experimental results not only show that the proposed scheme requires lower computational power but with increase level of security and speed.

The advent of the internet of things (IoT) and augmented reality technology not only introduces a wide range of security risks and challenges but also increases traffic on the existing wireless communication networks. This is due to the enormity of the traffics generated by the connected IoT devices whose number keeps increasing. Therefore, any IoT network requires an effective security solution capable of securing data and minimizing traffic on the IoT networks. To address these, the authors propose a practicable secure data aggregation scheme, VerSA, based on data grouping aggregation, batch verification through the aggregated signature ratios, and symmetric encryption with a pairing free key distribution. The scheme is capable of grouping and aggregating sub-network data into homogeneous and heterogeneous groups, detecting and filtering injected false data. The results show that the proposed scheme is not only secure against IoT related attacks but also has the lowest computational and communication overheads compared to the recent state-of-the-art schemes.

Recent surveys on autonomous vehicle (AV) (SAE level 5) have shown its potential in transforming road transportation system. Its advent will revolutionise road transportation, however, before this could happen vital operations in road transportation management need re-modification or redesign. One of these operations is parking system; most of the existing parking systems are targeted towards non-autonomous vehicles, where parking is not only distance-bound but parking prices are affected by other factors such as time and location. In this paper, a smart and anonymous parking management system using a novel space selection technique and anonymous authentication for space selection and reservation is proposed. The system determines the parking pattern with the lowest parking cost using the developed space selection algorithm. The performance of the system was evaluated in terms of estimated computation cost and possibility of obtaining optimal parking pattern under the dynamic pricing system. The results showed that the proposed system is capable of selecting the best parking pattern at the lowest computational cost.

Several algorithms for data encryption in wireless data communication have been proposed by many researchers, which include the RC4 encryption technique presently used in wireless local area network (WLAN). It has been proven that the RC4 used in wired equivalent privacy (WEP) of WLAN is vulnerable to attacks. These vulnerabilities create the potential for active and passive attacks which could allow attackers to decrypt encrypted data in wireless network. The vulnerabilities of WEP had been investigated. It was discovered that the main weakness of WEP lie solely on the RC4 encrypting procedure. In spite of general condemnation of RC4 used in WLAN, its simplicity and general acceptance make it attractive. Therefore, there is a need to enhance its operability by developing an improved encryption technique which inherits the simplicity, efficiency and not vulnerable to attacks as RC4. RC42’s which is an improvement on RC4 is proposed in this paper.