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

This article explores different scenarios of implementing artificial intelligence (AI) in Russia. The relevance of the research and the range of problems addressed in it consist in the fact that Russia is not fully realizing the potential of innovative economic development. AI can accelerate the innovative development of Russia’s economy, but it entails the risks of its destabilization and therefore requires further research. This article contributes to the theory of innovation, thereby specifying the logic of the optimization of innovative development and the optimal scale in a strategy of risk management. The effectiveness of the digital modernization of Russia’s economy based on AI will be remarkably high. The index of global competitiveness achieves maximum value (7 points), increasing by 1.52 times. The innovation index of the economy grows 1.15 times. The unemployment level will rise 1.62 times, and the level of cybersecurity will decrease 6.52 times. Both advantages from the implementation of AI and risks of digital modernization of the Russian economy are determined. The significance of the research consists in the application of the offered method for determining the optimal intervals of AI usage in Russia. The key conclusion that can be drawn from the research is the justification of the need to promote the modernization of the Russian economy on the basis of AI with a view to accelerating its innovative development until 2024. The consequences of the research are involved with the improvement of practices of public regulation of the innovative development of the Russian economy by promoting the dissemination of AI according to recommendations proposed by the authors.
Keywords: artificial intelligence (AI) | technology | cybersecurity | economic development | risk management | Russia

Abstract—Increasing complexity of digital and mixed-signal systems makes establishing the authenticity of a chip to be a challenging problem. We present a new terahertz testing technique for non-destructive identification of genuine integrated circuits, in package, in-situ and either with no or under bias, by measuring their response to scanning terahertz and sub-terahertz radiation at the circuit pins. This novel, patent pending non-invasive nondestructive technology when merged with Artificial Intelligence (AI) engine will evolve and self-improve with each test cycle. By establishing and AI processing of the THz scanning signatures of reliable devices and circuits and comparing this signatures with devices under test using AI, this technology could be also used for reliability and lifetime prediction.
Keywords: Terahertz | hardware cybersecurity | reliability | authentication | artificial intelligence

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

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