Internet of Things (IoT) is a unique element in the realm of Cybersecurity. It constitutes countless applications, including defense, health, agriculture, finance, amongst other industries. The majority of existing studies focus on various developments of IoT products and services essential to our day-to-day activities, with little emphasis on the security of developed systems. This has led to the proliferation of IoT solutions acquired through rapid development and overlooking the need for a structured security framework during the systems’ development stages. IoT security capability can be improved by using complementary technologies. This paper explores applying Risk-Based Access Control Model using Blockchain to control access to IoT devices. Although current access control models provide efficient security measures to control who can access the system resources, there is no way to detect and prevent malicious attacks after granting access. The proposed solution utilizes smart contracts under the Hyperledger Fabric (HLF) Blockchain Framework to create access permissions and measure the security risks associated with any event in the IoT system and create access permissions to determine what processes may be performed. This will allow the detection of any malicious activity at the early stages of the attack and grant or deny access based on the risk associated with any activity.

Cross-contamination, counterfeit ingredients, false packaging, and labelling are all issues that contribute to food fraud which is a major concern undermining the integrity of the food supply chain and consumers health. Therefore, there is a need for an on-demand traceable, transparent food supply chain. This is a universal problem and blockchain presents itself as a means to maintain traceable, transparent food supply. This paper presents an innovative consensus algorithm and simulates the usage of it to identify the precision and recall of fraudulent food detection. This protocol aims to solve the issue of malicious leader node selection in common voting-based consensus protocols while achieving efficiency. Thus, providing a single version of truth for foods in a long food supply chain, preventing information asymmetries.

Employment uses trusted records such as award certificates as a part of hiring procedures. Some countries practices for employment history reference; either a service certificate or systems based on pension records which are based on number of years of employment that are also can be used for pension eligibility. However, there is an increase on the number of issued award certificates which are, in most cases, do not follow an agreed standard, which increases challenges for an authenticated record sharing. Moreover, employment systems are not required to share employment history nor to accommodate record requests educational institutes. Additionally, public employment systems are by design isolated from interaction with private sector. The research suggest that distributed systems would reduce costs for verifying and authenticating records while being flexible on allocating trusted records such as employment history, awarded certificates and resumes.

Electronic documents within any enterprise are an asset and securing these assets is a priority, since each year organizations losses billions in Intellectual Property (IP) due to document leakage. The challenge is that electronic documents cannot be fully protected outside the originators enterprise network with exception of a small number of propriety solutions. The solution presented in this paper proposes a framework to produce intelligent documents that can be programmed to detect its location within a network and be involved in the decisions process for basic operation (read, edit, and copy). Therefore, the document should maintain its integrity by preventing content modification. The framework incorporates active intelligent document concepts operating under Digital Right Management (DRM) to provide a measure of security for electronic documents beyond the boundaries of organizations supported by our illustration.