Socially and biologically inspired computing for self-organizing communications networks

The design and development of future communications networks call for a careful examination of biological and social systems. New technological developments like self-driving cars, wireless sensor networks, drones swarm, Internet of Things, Big Data, and Blockchain are promoting an integration process that will bring together all those technologies in a large-scale heterogeneous network. Most of the challenges related to these new developments cannot be faced using traditional approaches, and require to explore novel paradigms for building computational mechanisms that allow us to deal with the emergent complexity of these new applications. In this article, we show that it is possible to use biologically and socially inspired computing for designing and implementing self-organizing communication systems. We argue that an abstract analysis of biological and social phenomena can be made to develop computational models that provide a suitable conceptual framework for building new networking technologies: biologically inspired computing for achieving efficient and scalable networking under uncertain environments; socially inspired computing for increasing the capacity of a system for solving problems through collective actions. We aim to enhance the state-of-the-art of these approaches and encourage other researchers to use these models in their future work

Novelty detection system based on multi-criteria evaluation in respect of industrial control system

The industrial processes and systems have become more sophisticated and also adopted in diverse areas of human activities. The Industrial Control System (ICS) or Internet of Things (IoT) have become essential for our daily life, and therefore vital for contemporary society. These systems are often included in Critical Information Infrastructure (CII) which is crucial for each state. Consequently, the cyber defense is and will be one of the most important security field for our society. Therefore, we use the novelty detection approach in order to identify anomalies which can be a symptom of the cyber-attack in ICS environment. To achieve the main goal of the article One-Class Support Vector Machine (OCSVM) algorithm was used. Moreover, the anomaly detection algorithm is adjusted via multi-criteria evaluation and classifier fusion. © 2019, Springer International Publishing AG, part of Springer Nature.IGA/FAI/2018/003; VI20152019049; MSU, Mississippi State University; ORNL, Oak Ridge National Laboratory; MSMT-7778/2014, MŠMT, Ministerstvo Školství, Mládeže a Tělovýchovy; LO1303, MŠMT, Ministerstvo Školství, Mládeže a Tělovýchovy; VI20172019054, Ministerstvo Vnitra České Republiky; CZ.1.05/2.1.00/03.0089, FEDER, European Regional Development Fun

Preface

Prefac

Advances in Multimedia Sensor Networks for Health-Care and Related Applications

Advances in Multimedia Sensor Networks for Health-Care and Related Application

Blockchain in vehicular ad hoc networks: applications, challenges and solutions

Blockchain has been adopted in a wide range of application domains to enhance security and privacy. Vehicular ad hoc network (VANET) is an important application domain in today’s communication systems where incorporation of blockchain is very timely. Recent literature highlights the prospects of blockchain technology in VANET, however, it is imperative to investigate the effectiveness to ensure viability. In this paper, a thorough investigation is conducted to identify the suitability of blockchain for VANET by identifying and answering key research issues. Unlike other existing surveys, challenges related to blockchain integration, evaluation criteria, privacy preservation, cyber security, etc. are also critically analysed. Future research directions such as 6G and large-scale deployment are also identified which need to be addressed by both VANET and blockchain community. Not only VANET, but also vehicular communication systems (VCSs) and intelligent transportation systems (ITSs) have been considered in this survey