Information Security Implications of Autonomous Systems
Hayat,Zia
University of Southampton
Reeve,Jeff
University of Southampton
Field,Martin
BAE SYSTEMS
Boutle,Chris
BAE SYSTEMS
A key challenge within autonomous systems, which consist of autonomous entities (human or machine), is to automatically evaluate the relevance of information thus enabling individual entities to dynamically control access (classify) to any information they possess. This is particularly important when decentralized information sharing is required, ensuring that only authorized entities have access to potentially sensitive information. A high-level model for representing information relevance (and classification) based upon context-aware computing and role based access control concepts is described in this introductory paper, with potential future work detailed.
Zia Hayat graduated from The University of Manchester in 2003 with a 1st Class BEng. Honours from the Department of Electrical & Electronic Engineering. Now completing an Engineering Doctorate in the School of Electronics & Computer Science, Faculty of Engineering at the University of Southampton, Zia is sponsored by BAE SYSTEMS. Having worked on numerous infosec projects predominantly in the military domain Zia is currently tasked with identifying and researching the key security implications in the UK MOD's SEAS (Systems Engineering for Autonomous Systems) DTC (Defence Technology Centre) project. His main area of interest is communication and information systems security through Risk Management.