In recent years, Multi-Processor System-on-Chips (MPSoCs) are widely deployed in safety-critical embedded systems. The Cloud-of-Chips (CoC) is a scalable MPSoC architecture comprised of a large number of interconnected Integrated Circuits (IC) and Processing Clusters (PC) destined for critical systems. While many researches have focused on addressing the hardware issues of MPSoCs, the communication over them has not been very well explored. Following the SDN concept, we propose a new protocol in order to secure the communication and efficiently manage the routing within the CoC. The SSPSoC includes a private key derivation phase, a group key agreement (GKA) phase, and a data exchange phase in order to ensure that basic security primitives are preserved and provide secure communication. Furthermore, a network of 1-30 nodes is set in order to validate the proposed protocol and measure the network performance and memory consumption of the proposed protocol.

A symmetric group key agreement protocol enables the group members to derive a shared session key for secure communication among them, whereas an asymmetric one facilitates security to any communication from outside, without adding outsiders into the group. In order to combine both the functionalities, a hybrid key agreement protocol is needed, which can output a shared symmetric key for inside communication and an asymmetric key pair for any unrestricted sender. The application mentioned in this paper pushes the need of secure on-chip communication for intersecure and intrasecure zones simultaneously. In particular, we look forward for a solution to ensure communication security among multiple processing clusters actively running on an integrated circuit.The proposed protocol offers a lightweight symmetric encryption for intrazone communication and a public key encryption for interzone communication taking most advanced security issues into account.An extended abstract of this contribution has already been published 1 at Privacy, Security & Trust (PST) 2018.

Abstract:Modern irrigation systems utilize sensors and actuators, interconnected together as a single entity. In such entities, A.I. algorithms are implemented, which are responsible for the irrigation process. In this paper, the authors present an irrigation Open Watering System (OWS) architecture that spatially clusters the irrigation process into autonomous irrigation sections. Authors' OWS implementation includes a Neuro-Fuzzy decision algorithm called FITRA, which originates from the Greek word for seed. In this paper, the FITRA algorithm is described in detail, as are experimentation results that indicate significant water conservations from the use of the FITRA algorithm. Furthermore, the authors propose a new communication protocol over LoRa radio as an alternative low-energy and long-range OWS clusters communication mechanism. The experimental scenarios confirm that the FITRA algorithm provides more efficient irrigation on clustered areas than existing non-clustered, time scheduled or threshold adaptive algorithms. This is due to the FITRA algorithm's frequent monitoring of environmental conditions, fuzzy and neural network adaptation as well as adherence to past irrigation preferences.

System on chips (SoCs) are all around us in today's world. Therefore, in this paper we propose a flexible, technologyaware SoC design, named as Cloud-of-Chips (CoC), which is able to change its characteristics, such as routing logic, transmission paths, priorities, IC clustering, etc. We focus particularly on inside communication of CoC architecture. The basic idea of CoC is the creation of an architecture, which will be able to support all the requirements of a vast number of todays applications by adopting and changing its characteristics according to them. The valorization perspectives are of importance since the outcomes of this research will be applicable for embedded systems, realtime systems, communication systems, as well as for mainstream systems such as Internet-of-Things and Internet-of-Everything. As far as the inside communication of our CoC platform is concerned, we leverage on algorithms and strategies developed within the field of Software Defined Networking (SDN), which was introduced to deal with hardware redesign and ultimately provide cloud-like flexibility. At the end, we describe registration and authentication of every entity in our network.

Currently the industry moves to smaller process nodes even if the cost for yielding large dies continues to increase, moving to the 5nm and even 3nm nodes. Hence a chipletbased design has been initiated and quickly gain attention from industry, academia and government agencies. This cutting edge approach became advantageous to break down a large die into smaller chiplets in order to improve yield and binning. In order to exploit this new approach the interconnect fabric connecting the nodes of the entire system should be of high importance to enable the properly distribution of the data. Each individual chiplet may contain its own local Network on Chip (NoC), which operates for intra-chiplet traffic. However the communication over chipletbased systems is complicated enough, due to various routing algorithms and NoC topologies and an alternative solution is needed. In this paper we introduce an SDNoC(Software Define Network on Chip)-based communication protocol for chipletbased systems, called MicroLET, which consists of a flexible and modular SDNoC architecture and 3 main phases: Handshake, Network Monitoring, Routing. An implementation of the SDNoC architecture and an evaluation of the proposed routing algorithm compared to the XY and the Odd-Even algorithms within different traffic scenarios is presented. Through the evaluation of the MicroLET protocol, it is proven that it could be a good candidate for the future chiplet-based systems.