Energy, QoS and Security Aware Edge Services

Abstract

With the development of communication technologies and the increasing bandwidth of optical fibres and transmission speeds in current 5G and future 6G wireless networks, there is a growing demand for solutions organising traffic in such networks, taking into account both end-to-end transmissions and the possibility of data processing by edge services. The most pressing problems of today’s computer networks are not only bandwidth and transmission delays, but also security and energy consumption, which is becoming increasingly important in today’s climate. This paper presents a solution based on neural networks that organises network traffic taking into account the above criteria - quality of service (QoS), energy consumption and security.

Review of Some Recent European Cybersecurity Research and Innovation Projects

“…Adaptive techniques for wireless IoT traffic to achieve better QoS are also found in [158]- [161] and summarized in [162]- [164], [164]- [168], while the RNN with adaptive approaches was shown to offer opportunities for massive video compression [169], [170], as well as for managing Cloud servers [171]. Such adaptive techniques that support the interaction between security metrics, performance and energy consumption were also discussed in a recent paper [172].…”

AI and Quality of Service Driven Attack Detection, Mitigation and Energy Optimization: A Review of Some EU Project Results

“…Adaptive techniques for wireless IoT traffic to achieve better QoS are also found in [68][69][70]99] and summarized in [20,91], while the RNN with adaptive approaches was shown to offer opportunities for massive video compression [12,13], as well as for managing Cloud servers [113]. Such adaptive techniques that support the interaction between security metrics, performance and energy consumption were also discussed in a paper in this volume [71].…”