A comprehensive approach to MPSoC security: achieving network-on-chip security : a hierarchical, multi-agent approach

Multiprocessor Systems-on-Chip (MPSoCs) are pervading our lives, acquiring ever increasing relevance in a large number of applications, including even safety-critical ones. MPSoCs, are becoming increasingly complex and heterogeneous; the Networks on Chip (NoC paradigm has been introduced to support scalable on-chip communication, and (in some cases) even with reconfigurability support. The increased complexity as well as the networking approach in turn make security aspects more critical. In this work we propose and implement a hierarchical multi-agent approach providing solutions to secure NoC based MPSoCs at different levels of design. We develop a flexible, scalable and modular structure that integrates protection of different elements in the MPSoC (e.g. memory, processors) from different attack scenarios. Rather than focusing on protection strategies specifically devised for an individual attack or a particular core, this work aims at providing a comprehensive, system-level protection strategy: this constitutes its main methodological contribution. We prove feasibility of the concepts via prototype realization in FPGA technology

Deep learning for time series forecasting: The electric load case

Management and efficient operations in critical infrastructures such as smart grids take huge advantage of accurate power load forecasting, which, due to its non-linear nature, remains a challenging task. Recently, deep learning has emerged in the machine learning field achieving impressive performance in a vast range of tasks, from image classification to machine translation. Applications of deep learning models to the electric load forecasting problem are gaining interest among researchers as well as the industry, but a comprehensive and sound comparison among different-also traditional-architectures is not yet available in the literature. This work aims at filling the gap by reviewing and experimentally evaluating four real world datasets on the most recent trends in electric load forecasting, by contrasting deep learning architectures on short-term forecast (one-day-ahead prediction). Specifically, the focus is on feedforward and recurrent neural networks, sequence-to-sequence models and temporal convolutional neural networks along with architectural variants, which are known in the signal processing community but are novel to the load forecasting one

Cystic lesions of anterior mediastinum: Case report

© 2020, University of Kragujevac, Faculty of Science. All rights reserved. Cystic lesions of the mediastinum are uncommon, comprising 12% to 18% of all primary mediastinal tumors and unless they attain a large size and cause compressive symptoms, these tumors are generally asymptomatic and are discovered incidentally upon radiologic investigation of some other condition. We present in this paper a case of cystic lesions of the mediastinum in a 70-year-old male patient who underwent a surgery for mediastinal mass removal. Histopathology report had shown it was the case of mature cystic teratoma of anterior mediastinum. Based on a review of the literature, as well as our experience, we conclude that best treatment for cystic lesions of anterior mediastinum is complete surgical resection if possible

Systems Engineering for Assessment of Virtual Power System Implementations

Part 14: First Workshop on Computational Intelligence for Critical Infrastructure Systems (CICIS 2013)International audienceIn this work we present an adoption of systems engineering methodology for design and assessment of a Virtual Power System (VPS). The VPS has been defined as an aggregation of distributed energy resources, consumers and storages which can operate autonomously, and is presented to the power system as a single unit in technical and commercial terms. The complexity of these critical systems is tackled by means of systems engineering. We have applied our approach in scope of a research project AlpEnergy

An Enhanced Service Provider Communication Interface with Client Priorization

With the increased dynamics of modern life, the efficiency and reliability of everyday services is emerging to be a fundamental concern. On the other hand, modern telecommunication technologies, like wireless Internet access, are penetrating all segments of our life. However, many every day activities and services still do not fully exploit new technologies. We propose an approach that enables increased deployment of E-commerce concepts in the fields where their usage was either small or negligible. Moreover, in the scope of the same concept, we introduce prioritization of clients in services where it was not commonly present to date. A solution for enhanced communication interface between service provider and customers is developed. As a case study, the system is designed and optimized for an implementation in a fast-food chain. The proposed solution is aiming at increasing of quality of service for customers, and at the same time increasing the operational efficiency of the provider. The main idea behind this approach is to enable customers to use their mobile devices, such as cell phones or PDAs, for browsing offered services or goods, viewing current service conditions and placing orders. We will detail mathematical model underneath and describe the implementation on both server and client side

Secure Memory Accesses on Networks-on-Chip

Security is gaining relevance in the development of embedded devices. Toward a secure system at each level of design, this paper addresses security aspects related to Network-on-Chip (NoC) architectures, foreseen as the communication infrastructure of next-generation embedded devices. In the context of NoC-based multiprocessor systems, we focus on the topic, not yet thoroughly faced, of data protection. In this paper, we present a secure NoC architecture composed of a set of Data Protection Units (DPUs) implemented within the Network Interfaces (NIs). The runtime configuration of the programmable part of the DPUs is managed by a central unit, the Network Security Manager (NSM). The DPU, similar to a firewall, can check and limit the access rights (none, read,write, or both) of processors accessing data and instructions in a shared memory. In particular, the DPU can distinguish between the operating roles (supervisor/user and secure/nonsecure) of the processing elements. We explore alternative implementations of the DPU and demonstrate how this unit does not affect the network latency if the memory request has the appropriate rights. We also focus on the dynamic updating of the DPUs to support their utilization in dynamic environments and on the utilization of authentication techniques to increase the level of security

Cystic Lesions of Anterior Mediastinum: Case Report

Cystic lesions of the mediastinum are uncommon, comprising 12% to 18% of all primary mediastinal tumors and unless they attain a large size and cause compressive symptoms, these tumors are generally asymptomatic and are discovered incidentally upon radiologic investigation of some other condition