Cyber security has become an important issue over the last twenty years, due largely to the massive increase in users of computer systems and the Internet. No longer can it be seen as just computer technical experts pitting their skills against elite hackers in a battle of computer supremacy. Technical expertise still plays a significant role in cyber security but we now need to consider the human factors within computer security too. Concerning ourselves with how both computer savvy and novice computer users interact with digital technology – along with the full spectrum of users in-between. These groups will interact with technology in different ways based on their underlying understanding of both the technology and the impact of their actions on the technology.
iARC in collaboration with the School of Engineering and Computing Sciences (ECS), the School of Applied Social Sciences (SASS) and the Department of Mathematical Sciences (DMS) are investigating the different types of people and how their behaviour patterns effect the security of a cyber-system and the world in general. Using skills in machine learning, human behavioural analysis and statistical analysis allows us to identify those users within a system who’s intentions are malicious as opposed to those who through naivety or a desire to be helpful are acting against the system.