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

Authentication Solutions in Industrial Internet of Things: A Survey

With the rapid growth of industry 4.0, the Industrial Internet of Things (IIoT) is considered to be a promising solution for converting normal operations to ‘smart’ operations in industrial sectors and systems. The well-known characteristics of IIoT has greatly improved the productivity and quality of many industrial sectors. IIoT allows the connectivity of many industrial smart devices such as, sensors, actuators and gateways. The connectivity feature makes this critical environment vulnerable to various cybersecurity attacks. Subsequently, maintaining the security of IIoT sys-tems remains a challenge to ensure their success. In particular, authenticating the connected IIoT devices is a must to ensure that they can be trusted and prevent any malicious attempts. Hence, the objective of this survey is to overview, discuss and analyze the different solutions related to de-vice authentication in the domain of IIoT. Also, we analyze the IIoT environment in terms of characteristics, architecture and security requirements. Similarly, we highlight the role of (machine-to-machine) M2M communication in IIoT. We further contribute to this survey by outlining several open issues that must be considered when designing authentication schemes for IIoT. Fi-nally, we highlight a number of research directions and open challenges

Two factor authentication framework based on ethereum blockchain with dApp as token generation system instead of third-party on web application

Authentication is a method for securing an account by verifying the user identity by inputting email with a password. Two factor authentications is an authentication system that combines the first-factor authentication with the second factor. General two factor authentication by entering an email or username with a password are similar. However, two factor authentication requires additional information that must be inputted by the user. Additional information can be in the form of tokens or one-time passwords (OTP). Two factor authentications generally still uses third-party services to generate token or OTP still have vulnerable because can attacked from tokens steal through MITM and found that the generated tokens with the same value. Therefore, we propose a two-factor authentication framework based on ethereum blockchain with dApp as token generation system. Firstly, outcome from the analysis of the system, next succeeded in creating a two-factor authentication system without using third-parties. Second, token system generate up to 3164 different tokens  in one second and has been collisions tested. Third, security method to protect token from MITM attack. The attacker unable to get access caused all the checking are done by dApp user authentication