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

Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities

Optimization of energy consumption in future intelligent energy networks (or Smart Grids) will be based on grid-integrated near-real-time communications between various grid elements in generation, transmission, distribution and loads. This paper discusses some of the challenges and opportunities of communications research in the areas of smart grid and smart metering. In particular, we focus on some of the key communications challenges for realizing interoperable and future-proof smart grid/metering networks, smart grid security and privacy, and how some of the existing networking technologies can be applied to energy management. Finally, we also discuss the coordinated standardization efforts in Europe to harmonize communications standards and protocols.Comment: To be published in IEEE Communications Surveys and Tutorial

Virtual environments for penetration testing of IoT devices

The aim of this thesis is to build a virtual penetration testing environment in order to test cyber security of IoT devices and provide material for teaching penetration testing in cyber security courses at the University of Turku. This thesis utilises the VMWare ESXI server rented by the University of Turku and also those Linux operating systems which have open-source code licences. In addition, this study exploits the Windows XP licence, held by the University of Turku, as the target machine in the attack. The IoT devices in this study have been coded from scratch by author of this thesis, and they work automatically when the virtual machine, where the device is installed, is switched on. The virtual laboratory is built so that it is possible to install new devices if required. The beginning of the thesis is as comprehensive as possible so that the reader can comprehend the idea of cyber security in IoT devices and smart home system easily. This thesis covers the most common data transfer methods, their history, and the strength of their cyber security. In addition, the thesis covers the most used attack types and tools for implementing these attacks, and also example cases where these particular attacks have been used. Thesis also presents an architecture model for a smart home in order for the reader to get a better view of the different possibilities of a smart home. Possible risk factors concerning cyber security are also considered with each device. This thesis also touches upon the role of smart cities and industry in the IoT market. The main focus is, however, on IoT devices used in smart home architecture and on researching their cyber security