Nowadays, more than ever, digital forensics activities are involved in any criminal, civil or military investigation and represent a fundamental tool to support cyber-security. Investigators use a variety of techniques and proprietary software forensics applications to examine the copy of digital devices, searching hidden, deleted, encrypted, or damaged files or folders. Any evidence found is carefully analysed and documented in a ‘‘finding report’’ in preparation for legal proceedings that involve discovery, depositions, or actual litigation. The aim is to discover and analyse patterns of fraudulent activities. In this work, a new methodology is proposed to support investigators during the analysis process, correlating evidence found through different forensics tools. The methodology was implemented through a system able to add semantic assertion to data generated by forensics tools during extraction processes. These assertions enable more effective access to relevant information and enhanced retrieval and reasoning capabilities.
Keywords: Digital forensics | Text analysis | Log analysis | Correlation | Cybersecurity

Advanced manufacturing is one of the core national strategies in the US (AMP), Germany (Industry 4.0) and China (Made-in China 2025). The emergence of the concept of Cyber Physical System (CPS) and big data imperatively enable manufacturing to become smarter and more competitive among nations. Many researchers have proposed new solutions with big data enabling tools for manufacturing applications in three directions: product, production and business. Big data has been a fast-changing research area with many new opportunities for applications in manufacturing. This paper presents a systematic literature review of the state-of-the-art of big data in manufacturing. Six key drivers of big data applications in manufacturing have been identified. The key drivers are system integration, data, prediction, sustainability, resource sharing and hardware. Based on the requirements of manufacturing, nine essential components of big data ecosystem are captured. They are data ingestion, storage, computing, analytics, visualization, management, workflow, infrastructure and security. Several research domains are identified that are driven by available capabilities of big data ecosystem. Five future directions of big data applications in manufacturing are presented from modelling and simulation to realtime big data analytics and cybersecurity.
Keywords: Smart manufacturing | Big data | Cloud computing | Cloud manufacturing | Internet of things | NoSQL

Most port operators have increasingly integrated cybertechnology into port activities to increase theircompetitiveness; unfortunately, this digitalization becomes the major vulnerability for the emergingcyberthreat. To help port policymakers develop cybersecurity measures, this study conceptualized anddeveloped three dimensions of port cybersecurity hygiene (i.e. human, infrastructure, and procedurefactors) and investigated the relationships between port cybersecurity hygiene and cyberthreats (i.e.hacktivism, cyber criminality, cyber espionage, cyber terrorism, and cyber war). A questionnaire surveywas used to collect data from all international container port operators and shipping lines with branchesin Thailand, and the proposed relationships were tested by structural equation modeling. The resultsindicated that container ports tended to encounter hacktivism when their human, infrastructure, andprocedure factors were vulnerable. The weakness of the human factor could also lead to cyber terrorism,while the deficiency of the infrastructure factor could lead to cyber criminality. Moreover, containerports were likely to be harmed by cyber espionage if their procedure factor was poorly implemented.Hence, the provision of training and education to all port workers, including top executives, managers,and supervisors, are necessary to ensure a cyberthreat-awareness culture at all organizational levels.Improving cybersecurity equipment could prevent unauthorized access to port business data and keepimportant information secure, while the ISPS Code-based procedures and other preventive measuresshould be strictly implemented by container ports to reduce the risk of cyberthreats.
Keywords: Cyberthreat | Port cybersecurity hygiene | Cybertechnology | Prevention and policy development | Port digitalization | Structural equation modeling

Blockchain has the potential to render the transaction of information more secure and transparent. Nowadays, transportation data are shared across multiple entities using heterogeneous mediums, from paper collected data to smartphone. Most of this data are stored in central servers that are susceptible to hacks. In some cases shady actors who may have access to such sources, share the mobility data with unwanted third parties. A multi-layered Blockchain framework for Smart Mobility Data-market (BSMD) is presented for addressing the associated privacy, security, management, and scalability challenges. Each participant shares their encrypted data to the blockchain network and can transact information with other participants as long as both parties agree to the transaction rules issued by the owner of the data. Data ownership, transparency, auditability and access control are the core principles of the proposed blockchain for smart mobility data-market. In a case study of real-time mobility data sharing, we demonstrate the performance of BSMD on a 370 nodes blockchain running on heterogeneous and geographicallyseparated devices communicating on a physical network. We also demonstrate how BSMD ensures the cybersecurity and privacy of individual by safeguarding against spoofing and message interception attacks and providing information access management control.
Keywords: Blockchain | Privacy | Cybersecurity | Mobility | Big Data

Blockchain offers unprecedented opportunities for innovation in financial transactions. A whole new world of opportunities for banking, lending, insurance, money transfer, investments, and stock markets awaits. However, the potential for wide-scale adoption of blockchain is hindered with cybersecurity and privacy issues. We provide an overview of the risks and security requirements and give an outlook for future research that could be helpful in solving some of the challenges. We also present an approach for policy specification and verification of financial transactions based on smart contracts.
Keywords: Blockchain | Security policy | Smart contract | 5G networks