Moustafa, NChoo, K-K RAbu-Mahfouz, Adnan MI2022-06-242022-06-242022-03Moustafa, N., Choo, K.R. & Abu-Mahfouz, A.M. 2022. Guest editorial: AI-enabled threat intelligence and hunting microservices for distributed industrial IoT system. <i>IEEE Transactions on Industrial Informatics, 18(3).</i> http://hdl.handle.net/10204/124391551-32031941-0050DOI: 10.1109/TII.2021.3111028http://hdl.handle.net/10204/12439Industrial Internet of Things (IIoT) systems are increasingly found in settings such as factories, smart cities/nations, and healthcare institutions. These systems facilitate the interconnection of automation and data analytics across different industrial technologies, such as cyber-physical systems, Internet of Things (IoT), and cloud and edge computing devices and systems. However, IIoT systems also generate significant volume of data, which can incur significant overheads in processing such data at cloud centers [A1]. Existing IIoT systems may be developed as monolithic architecture, where such a system is deployed as a single solution. In this architectural design, few programming languages can be used to create a single application or process composed of several classes, methods, and packages, in which the entire application is executed in one server irrespective of the application requirements.AbstractenAI-enabled threat intelligenceBlockchainIndustrial Internet of ThingsIIoTArticleMoustafa, N., Choo, K. R., & Abu-Mahfouz, A. M. (2022). Guest editorial: AI-enabled threat intelligence and hunting microservices for distributed industrial IoT system. <i>IEEE Transactions on Industrial Informatics, 18(3)</i>, http://hdl.handle.net/10204/12439Moustafa, N, K-K R Choo, and Adnan MI Abu-Mahfouz "Guest editorial: AI-enabled threat intelligence and hunting microservices for distributed industrial IoT system." <i>IEEE Transactions on Industrial Informatics, 18(3)</i> (2022) http://hdl.handle.net/10204/12439Moustafa N, Choo KR, Abu-Mahfouz AM. Guest editorial: AI-enabled threat intelligence and hunting microservices for distributed industrial IoT system. IEEE Transactions on Industrial Informatics, 18(3). 2022; http://hdl.handle.net/10204/12439.TY - Article AU - Moustafa, N AU - Choo, K-K R AU - Abu-Mahfouz, Adnan MI AB - Industrial Internet of Things (IIoT) systems are increasingly found in settings such as factories, smart cities/nations, and healthcare institutions. These systems facilitate the interconnection of automation and data analytics across different industrial technologies, such as cyber-physical systems, Internet of Things (IoT), and cloud and edge computing devices and systems. However, IIoT systems also generate significant volume of data, which can incur significant overheads in processing such data at cloud centers [A1]. Existing IIoT systems may be developed as monolithic architecture, where such a system is deployed as a single solution. In this architectural design, few programming languages can be used to create a single application or process composed of several classes, methods, and packages, in which the entire application is executed in one server irrespective of the application requirements. DA - 2022-03 DB - ResearchSpace DP - CSIR J1 - IEEE Transactions on Industrial Informatics, 18(3) KW - AI-enabled threat intelligence KW - Blockchain KW - Industrial Internet of Things KW - IIoT LK - https://researchspace.csir.co.za PY - 2022 SM - 1551-3203 SM - 1941-0050 T1 - Guest editorial: AI-enabled threat intelligence and hunting microservices for distributed industrial IoT system TI - Guest editorial: AI-enabled threat intelligence and hunting microservices for distributed industrial IoT system UR - http://hdl.handle.net/10204/12439 ER -25780