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Artificially intelligent industrial controllers

Posted on:2016-09-29Degree:M.SType:Thesis
University:Utica CollegeCandidate:Davis, Joseph WayneFull Text:PDF
GTID:2479390017985420Subject:Information Technology
Abstract/Summary:PDF Full Text Request
Control of and access to critical industrial controllers requires updated security. Artificial Intelligence may prove valuable by increasing resiliency and reducing the vulnerabilities to such systems. Improving security deficiencies relevant to the control of these systems is dependent on future development of cyber-physical tools and analysis methodology. Programmable industrial controllers are targets in the cyber domain. Code designs are a warfare tactic and nation-states execute them against one another. In its current format, legislation for provisional oversight does not effectively protect systems that maintain critical infrastructure. Present difficulties exist in these systems due to implementing added connectivity attributes as well as the vulnerabilities due to the system interdependency of Supervisory Control and Data Acquisition Systems (SCADA). Present day programmable logic controllers have no inherent ability to mitigate, identify, or notify industrial technicians about malicious activity. Many industrial control engineers generally have minimal knowledge of cybersecurity. Information technology technicians do not understand the fragile and complex nature of industrial control systems. Further, mainstream dependence on the business technique of risk management reduces the focus and evolution of alternative cybersecurity techniques. Adoption of Artificially Intelligent Industrial Controllers within unconscious expert databases has the prospect to improve security for Industrial Control Systems and deliver Resilient Control Systems through designs including perception, fusion, and decision-making abilities. Implementing improved static attributes for these systems should include active defense constructs to garner optimum benefit. Controlled test environments to prove the efficacy of proposed research and development are necessary.;Keywords: Cybersecurity, Professor Christopher Riddell, Artificial Intelligence, Industrial Controller, PLC, Advanced Persistent Threat, Cyberweapons, CIKR, Resilient Control Systems.
Keywords/Search Tags:Industrial, Systems, Security
PDF Full Text Request
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