Intelligent multi-agent collaboration model for smart home IoT security

© 2018 IEEE. While the Internet of Things (IoT) continue to extend deeper into the daily lives of people, the domain of the smart home offers a unique need for security. Traditional firewalls and antivirus are not sufficient to protect the connected home from security threats, and to date, there have been limited solutions provided for this problem. This paper explores the recent works in this area and presents a new approach towards securing smart home networks through multi-agent collaboration. The model uses Beliefs, Desires, and Intentions (BDI) architecture for intelligent agent decision making, as well as a multi-agent collaboration model for achieving mutual security goals within the smart home network. For initial proof of concept, we provide a use case demonstrating the coordination of the threat response decision between operational availability and security risk agents as a qualitative coalitional game. This model can also be extended to other areas such as threat modeling, vulnerability scanning, and patching, as well as more advanced threat engagement and distraction. Throughout, we also consider operational goals of convenience and availability as required for a usability perspective within the smart home environment

Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms

The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications

Federated Embedded Systems – a review of the literature in related fields

This report is concerned with the vision of smart interconnected objects, a vision that has attracted much attention lately. In this paper, embedded, interconnected, open, and heterogeneous control systems are in focus, formally referred to as Federated Embedded Systems. To place FES into a context, a review of some related research directions is presented. This review includes such concepts as systems of systems, cyber-physical systems, ubiquitous computing, internet of things, and multi-agent systems. Interestingly, the reviewed fields seem to overlap with each other in an increasing number of ways