Visible to the public A Situation Calculus based approach to Cognitive Modelling for Responding to IoT Cyberattacks

TitleA Situation Calculus based approach to Cognitive Modelling for Responding to IoT Cyberattacks
Publication TypeConference Paper
Year of Publication2021
AuthorsChouhan, Pushpinder Kaur, Chen, Liming, Hussain, Tazar, Beard, Alfie
Conference Name2021 IEEE SmartWorld, Ubiquitous Intelligence Computing, Advanced Trusted Computing, Scalable Computing Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI)
Date Publishedoct
KeywordsAutomated Response Actions, Biological system modeling, Cognitive Model, composability, critical infrastructure, cyberattacks, cybersecurity, Dynamic Logic, Economics, epistemic logic, home automation, Internet of Things, Intrusion Response, pubcrawl, Real-time Systems, resilience, Resiliency, situation calculus, smart cities, Technological innovation
AbstractBoth the sophistication and scale of cyberattacks are increasing, revealing the extent of risks at which critical infrastructure and other information and communication systems are exposed. Furthermore, the introduction of IoT devices in a number of different applications, ranging from home automation to the monitoring of critical infrastructure, has created an even more complicated cybersecurity landscape. A large amount of research has been done on detecting these attacks in real time, however mitigation is left to security experts, which is time consuming and may have economic consequences. In addition, there is no public data available for action selection that could enable the use of the latest techniques in machine learning or deep learning for this area. Currently, most systems deploy a rule-based response selection methodology for mitigating detected attacks. In this paper, we introduce a situation calculus-based approach to automated response for IoT cyberattacks. The approach offers explicit semantic-rich cognitive modeling of attacks, effects and actions and supports situation inference for timely and accurate responses. We demonstrate the effectiveness of our approach for modelling and responding to cyberattacks by implementing a use case in a real-world IoT scenario.
DOI10.1109/SWC50871.2021.00038
Citation Keychouhan_situation_2021