Journal of Computing and Information Technology

Sustainable computing is an emerging area of research that embraces the policies and procedures to use the technology effectively without any deterioration to the environment. It is a holistic approach and can be widely applied across various information and communication technology-related applications. The major focus here is to have zero impact on the environment and it covers a broad range of the research spectrum, including energy, environment, and natural resource management. There is no doubt that computing in an environmentally responsible manner has quickly emerged as an effective means for using the technology. Green artificial intelligence (AI) and sustainable computing are closely related to each other, and they go hand in hand. The focus of green AI is on the use of computing resources in a lesser, cost-efficient manner. Further, the rapid advances in technology have enabled digital advancement in every industrial sector. The technology is used in almost every aspect of the business, ranging from supply chain to service delivery to the end-users. Significantly, enterprises need to use technology to lead to sustainability responsibly.

The Internet of Things (IoT) promises to be incredible in terms of usability and convenience, but its effects on security and privacy are less obvious. For cryptographers and system designers, the idea of billions of low-cost, lightweight, and highly networked endpoints poses several urgent challenges. These should ideally be answered before the IoT is widely deployed and its supporting infrastructure and standards are set. Fault injection attacks on IoT systems try to change software behaviour by inserting faults into the system's hardware components. Attackers insert bugs into hardware elements, including the voltage source, clock generator, and microprocessor, which can impact software performance. Several defenses from fault injection attacks at the software and system levels are studied. It is suggested that attack detection systems and software vulnerability scanning against fault injection attacks are filled with new technologies, such as code machine learning, instrumentation tools, and software testing ideas. IoT systems may be safer and resistant to fault injection attacks and the problems they cause by filling in these security vulnerabilities.