Cross-layer cognitive optimization tools & methods for the lifecycle support of dependable CPSoS

Livrables

Distributed Algorithms for Node Ranking and Topology Inference/Selection

This report will contain the output of Task 3.3. The deliverable will describe a set of distributed algorithms (and the associated implementations) for node ranking, node rating, network assessment, and network topology inference/selection.

Project Web Presence (Website, Wiki, Blog, Social Media)

Report describing the CPSoSaware marketing material at the beginning of the project.

Preliminary Version of CPSoS Runtime Security Monitoring Approaches

This report will contain the output of the first phase of Task 4.3 (M6-M14). This series of deliverables will describe the design and development of the CPSoSaware cyberthreat run-time monitoring tool that will be tailored to CPS systems and the use-cases of the project.

AR based life long learning tools

This report will contain the output of Task 5.3. It will describe the design, develepmenent, and implementation activities of the CPSoSaware AR-based CPHS user training toolkit that will be released as part of the project.

CPSoS AI framework and Model based Design

This report will contain the output of Task 4.5 and Task 4.6. It will include a set of prediction algorithms to foresee potential failures at the CPS level and additional algorithms to estimate the time to reach certain kind of failures. It will include a final description of the CPSoSaware Modeling and Redesign Engine and the CPSoSAware design commissioning mechanism.

Generation of HW/SW runnables

This report will contain the output of Task 5.1. The deliverable will include a characterization of the functional and non-functional properties of the SW and HW runnables that will be generated and executed in the CPSoSaware platform.

AR Interfaces Supporting Object and Scene Manipulation for Increasing Situational Awareness

This report will contain the output of Task 3.4. The deliverable will describe an AR-based enhancement tool (and the associated implementation) for situational awareness that will be developed as part of the project.

Preliminary Version of CPSoS Simulation Tools and Training Data Generation

The report will contain the output of the first phase of Task 4.4 (M6-M14). This series of deliverable will describe the implementation and validation activities of the Simulation and Training Block (SAT) of the overall CPSoSaware platform. The second main part of this series of deliverables is the description of the design and development of a CPSoSaware subcomponent that will facilitate the learning/training process of the AI that is utilized in the CSAIE block.

Dynamic CP(H)Ss and Cognitive Communications Modules

This report will contain the output of Task 2.2. The deliverable will describe the CPS inter and intra communication models, their accuracy in terms of performance and power assuming various parameters, topologies and scenarios (defined by the use cases). Specific case studies will be provided to showcase that the developed models can drive (via proper interfaces) and optimize the configuration of the specific CPSoSaware components.

OpenCL Prototype to Support Distributed Execution of Kernels and Data Transfers in CPSs

This report will contain the output of Task 3.2. The deliverable will describe the environment developed for deploying OpenCL SW kernels and HW FPGA bitstreams (and the associated data transfers) in the CPSoSaware platform in an adaptive and dynamic way.

Models of HW & SW Components with non-Functional Requirements and Security Extensions

This report will contain the output of Tasks 2.3 and 2.4. The deliverable will provide specific models of the CPSoSaware SW and HW components. The second part of this deliverable will provide a methodology to extent the previous models (meta-models) with specific KPIs related to non-functional requirements including specific annotations for security extensions.

Final Version of CPSoS Simulation Tools and Training Data Generation

The report will contain the output of the second phase of Task 4.4 (M15-M28). This series of deliverable will describe the implementation and validation activities of the Simulation and Training Block (SAT) of the overall CPSoSaware platform. The second main part of this series of deliverables is the description of the design and development of a CPSoSaware subcomponent that will facilitate the learning/training process of the AI that is utilized in the CSAIE block.

Final Version of CPSoS Runtime Security Monitoring Approaches

This report will contain the output of the second phase of Task 4.3 (M15-M28). This series of deliverables will describe the design and development of the CPSoSaware cyberthreat run-time monitoring tool that will be tailored to CPS systems and the use-cases of the project.

Algorithms for Monitoring the User and Analyzing the Scene by Fusioning Multimodal Data

The report will contain the output of Task 3.1. The deliverable will contain and analyze a set of advanced machine learning algorithms that are related to (even predict the) user behavior and the environmental conditions.

Final CPSoSaware System Architecture

This report will contain the output of the third phase of Task 13 M32M36 This series of deliverables will contain the design of the overall system architecture with a clear definition of the interfaces between the various functional modules and components of the framework The third version of this series of deliverables will contain the revised version of the overall system architecture as it is optimized by the CPSoSaware framework

Requirements and Use Cases

This report will contain the output of Task 1.2. The deliverable will include the technical requirements of the CPSoSaware use cases associated with measurable metrics. The requirements will be formulated in a format that can be parsed by the CPSoSaware framework.

Preliminary Version of CPSoSaware Dissemination Plan & Material

Report on dissemination activities in the first half of the project.

Preliminary Evaluation and assessment of CPSoSaware Platform

This report will contain the output of the quantification phase of Task 6.3 and Task 6.4. This deliverable reports the results of the evaluation of CPSoSaware during the quantification phase. This report will be delivered on M12.

Small-scale evaluation report

This report will contain the output of Task 62 This document provides the results of a smallscale evaluation of the developed system in real life environments A cohort of drivers and users in manufacturing environments will test the ability of the signal analysis algorithms and the system to automatically categorize the signals on the basis of user and environment status and the sensitivity of the sensors with respect to different conditions The final will be delivered on M24

Supportive, motivating and persuasive approaches, tools & metrics

This report will contain the output of Task 1.1. The deliverable will include state-of-the-art technologies and tools for developing and maintaining dependable CPSoS (in terms of security, reliability, energy efficiency, and human situational awareness) including the capturing of related requirements. This deliverable will conclude with a set of best practices and open tools that will be integrated into CPSoSaware framework.

Preliminary Version of CPSoSaware Integrated Platform

This report will contain the output of the first phase of Task 52 M18M28 This series of deliverables will describe all the integration and evaluation activities related to the CPSoSaware blocks that provide support for the CPSoS Design Operation Continuum

Definition and planning of Evaluation Trials

This report will contain the output of Task 6.1. This is a public report describing the way the evaluation pilot studies will be organized, supported and managed throughout the duration of the project. The evaluation phase assement protocol will be delivered on M18.

Preliminary Version of Standardization and Concertation Activities Report

Report of the standardization and concertation activities during the first half of the project.

Definition and planning of Quantification Trials

This report will contain the output of Task 6.1. This is a public report describing the way the quantification pilot studies will be organized, supported and managed throughout the duration of the project. A quantification phase protocol will be prepared on M6

Final Version of IPR Protection Plan

Report of IPR management related activities in the second half of the project

Second Version of CPSoSaware System Architecture

This report will contain the output of the second phase of Task 13 M18M24 This series of deliverables will contain the design of the overall system architecture with a clear definition of the interfaces between the various functional modules and components of the framework The second version of this series of deliverables will contain the overall system architecture and a clear definition of interfaces Special emphasis will be given to showcase how the specifications and requirements have been considered into designing the CPSoSaware architecture The system architecture will be provided in a format that can be parsed by the CPSoSaware framework

Final Version of Standardization and Concertation Activities Report

Report of the standardization and concertation activities during the second half of the project

Final Version of CPSoSaware Dissemination Plan & Material

Report on dissemination activities in the second half of the project

Human factors and metrics analysis

This report will contain the output of Task 2.1. The deliverable will contain the description of the data collection process and modeling methodology for capturing the human behavior. Special emphasis will be given to combine the human factor with the remaining CPS system and to define concrete human-factor related metrics that will be generated automatically by the developed models. An additional focus of D2.1 is to provide a detailed definition of a user/environment model representation format together with the processing steps that are followed in order to include these entities to the user/environment models.

Preliminary Version of CPSoSaware System Architecture

This report will contain the output of the first phase of Task 1.3 (M1-M12). This series of deliverables will contain the design of the overall system architecture with a clear definition of the interfaces between the various functional modules and components of the framework. The Preliminary Version of this series of deliverables will concentrate on the technical specifications including functional, no functional, and operational requirements.

Preliminary Version of Exploitation Report and CPSoSaware Business Models

Report on exploitation activities in the first half of the project and Preliminary Version of CPSoSaware Business Model.

Final Version of Exploitation Report and CPSoSaware Business Models

Report on exploitation activities in the second half of the project and final version of CPSoSaware Business Model

Final Evaluation and assessment of CPSoSaware Platform

This report will contain the output of the evaluation phase Task 63 and Task 64 This deliverable reports the results of the final evaluation of CPSoSaware during the evaluation phase In addition it will report the CPSoSaware socioeconomic and organizational impact based on the analysis of the results from theevaluation process and will assess what the principles and interventions imply for the adoption of CPSoSaware by the different stakeholders A final version will be delivered on M36

Final Version of CPSoSaware Integrated Platform

This report will contain the output of the second phase of Task 52 M29M36 This series of deliverables will describe all the integration and evaluation activities related to the CPSoSaware blocks that provide support for the CPSoS Design Operation Continuum

Data Management Plan

As part of the Horizon 2020 Open Research Data Pilot, a data management plan will define research data repository, illustrate the way for third parties to access, mine, exploit, reproduce and disseminate data, as well as provide information on the tools and instruments needed to validate the results.

Publications

A Hierarchical Profiler of Intermediate Representation Code based on LLVM

Auteurs: Efstratios Tiganourias, Michail Mavropoulos, Georgios Keramidas, Vasilios Kelefouras, Christos P. Antonopoulos, Nikolaos Voros
Publié dans: 2021 10th Mediterranean Conference on Embedded Computing (MECO), 2021, Page(s) 1-5, ISBN 978-1-6654-3912-1
Éditeur: IEEE
DOI: 10.1109/meco52532.2021.9460203

Cooperative Multi-Modal Localization in Connected and Autonomous Vehicles

Auteurs: Nikos Piperigkos, Aris S. Lalos, Kostas Berberidis, Christos Anagnostopoulos
Publié dans: 2020 IEEE 3rd Connected and Automated Vehicles Symposium (CAVS), 2020, Page(s) 1-5, ISBN 978-1-7281-9001-3
Éditeur: IEEE
DOI: 10.1109/cavs51000.2020.9334558

POCL-R - Distributed OpenCL Runtime for Low Latency Remote Offloading

Auteurs: Jan Solanti, Michal Babej, Julius Ikkala, Pekka Jääskeläinen
Publié dans: Proceedings of the International Workshop on OpenCL, 2020, Page(s) 1-2, ISBN 9781450375313
Éditeur: ACM
DOI: 10.1145/3388333.3388642

CPSoSaware: Cross-Layer Cognitive Optimization Tools & Methods for the Lifecycle Support of Dependable CPSoS

Auteurs: Georgios Keramidas, Christos P. Antonopoulos, Nikolaos Voros, Pekka Jaaskelainen, Marisa Catalan Cid, Evangelia I. Zacharaki, Apostolos P. Fournaris, Aris Lalos
Publié dans: 2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2020, Page(s) 470-475, ISBN 978-1-7281-5775-7
Éditeur: IEEE
DOI: 10.1109/isvlsi49217.2020.00-12

cMinMax: A Fast Algorithm to Find the Corners of an N-dimensional Convex Polytope

Auteurs: Dimitrios Chamzas, Constantinos Chamzas, Konstantinos Moustakas
Publié dans: Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2021, Page(s) 229-236, ISBN 978-989-758-488-6
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0010259002290236

A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks

Auteurs: Erion Vasilis Pikoulis, Christos Mavrokefalidis, Aris S. Lalos
Publié dans: 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 2020, Page(s) 1432-1439, ISBN 978-1-7281-8470-8
Éditeur: IEEE
DOI: 10.1109/icmla51294.2020.00222

Mesh Saliency Detection Using Convolutional Neural Networks

Auteurs: Stavros Nousias, Gerasimos Arvanitis, Aris S. Lalos, Konstantinos Moustakas
Publié dans: 2020 IEEE International Conference on Multimedia and Expo (ICME), 2020, Page(s) 1-6, ISBN 978-1-7281-1331-9
Éditeur: IEEE
DOI: 10.1109/icme46284.2020.9102796

Decentralized, Secure and Cognitive Architecture for Automotive CyberPhysical System of Systems

Auteurs: Apostolos P. Fournaris, Aris Lalos, Petros Kapsalas, Christos Koulamas
Publié dans: 2020 9th Mediterranean Conference on Embedded Computing (MECO), 2020, Page(s) 1-5, ISBN 978-1-7281-6949-1
Éditeur: IEEE
DOI: 10.1109/meco49872.2020.9134336

Exploiting Vitis Framework for Accelerating Sobel Algorithm

Auteurs: Panagiotis Mousouliotis, Stavros Zogas, Panagiotis Christakos, Georzios Keramidas, Nikos Petrellis, Christos Antonopoulos, Nikolaos Voros
Publié dans: 2021 10th Mediterranean Conference on Embedded Computing (MECO), 2021, Page(s) 1-5, ISBN 978-1-6654-3912-1
Éditeur: IEEE
DOI: 10.1109/meco52532.2021.9460221

Graph Laplacian Extended Kalman Filter for Connected and Automated Vehicles Localization

Auteurs: Nikos Piperigkos, Aris S. Lalos, Kostas Berberidis
Publié dans: 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), 2021, Page(s) 328-333, ISBN 978-1-7281-6207-2
Éditeur: IEEE
DOI: 10.1109/icps49255.2021.9468263

Accelerating deep neural networks for efficient scene understanding in automotive cyber-physical systems

Auteurs: Stavros Nousias, Erion Vasilis Pikoulis, Christos Mavrokefalidis, Aris S. Lalos
Publié dans: 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), 2021, Page(s) 63-69, ISBN 978-1-7281-6207-2
Éditeur: IEEE
DOI: 10.1109/icps49255.2021.9468126

Run Time Management of Faulty Data Caches

Auteurs: Michail Mavropoulos, Georgios Keramidas, Dimitris Nikolos
Publié dans: 2021 IEEE European Test Symposium (ETS), 2021, Page(s) 1-6, ISBN 978-1-6654-1849-2
Éditeur: IEEE
DOI: 10.1109/ets50041.2021.9465447

Graph based Cooperative Localization for Connected and Semi-Autonomous Vehicles

Auteurs: Nikos Piperigkos, Aris S. Lalos, Kostas Berberidis
Publié dans: 2020 IEEE 25th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2020, Page(s) 1-6, ISBN 978-1-7281-6339-0
Éditeur: IEEE
DOI: 10.1109/camad50429.2020.9209312

Privacy Preservation in Industrial IoT via Fast Adaptive Correlation Matrix Completion

Auteurs: Aris S. Lalos, Evangelos Vlachos, Kostas Berberidis, Apostolos P. Fournaris, Christos Koulamas
Publié dans: IEEE Transactions on Industrial Informatics, Numéro 16/12, 2020, Page(s) 7765-7773, ISSN 1551-3203
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tii.2019.2960275

Protecting artificial intelligence IPs: a survey of watermarking and fingerprinting for machine learning

Auteurs: Francesco Regazzoni, Paolo Palmieri, Fethulah Smailbegovic, Rosario Cammarota, Ilia Polian
Publié dans: CAAI Transactions on Intelligence Technology, Numéro 6/2, 2021, Page(s) 180-191, ISSN 2468-2322
Éditeur: CAAI
DOI: 10.1049/cit2.12029

Improved Hybrid Approach for Side-Channel Analysis Using Efficient Convolutional Neural Network and Dimensionality Reduction

Auteurs: Naila Mukhtar, Apostolos P. Fournaris, Tariq M. Khan, Charis Dimopoulos, Yinan Kong
Publié dans: IEEE Access, Numéro 8, 2020, Page(s) 184298-184311, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.3029206

Broad-to-Narrow Registration and Identification of 3D Objects in Partially Scanned and Cluttered Point Clouds

Auteurs: Gerasimos Arvanitis, Evangelia Zacharaki, Libor Vasa, Konstantinos Moustakas
Publié dans: IEEE Transactions on Multimedia, 2021, Page(s) 1-1, ISSN 1520-9210
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmm.2021.3089838

Robust and Fast 3-D Saliency Mapping for Industrial Modeling Applications

Auteurs: Gerasimos Arvanitis, Aris S. Lalos, Konstantinos Moustakas
Publié dans: IEEE Transactions on Industrial Informatics, Numéro 17/2, 2021, Page(s) 1307-1317, ISSN 1551-3203
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tii.2020.3003455

A Traffic Analysis on Serverless Computing Based on the Example of a File Upload Stream on AWS Lambda

Auteurs: Lisa Muller, Christos Chrysoulas, Nikolaos Pitropakis, Peter J. Barclay
Publié dans: Big Data and Cognitive Computing, Numéro 4/4, 2020, Page(s) 38, ISSN 2504-2289
Éditeur: MDPI
DOI: 10.3390/bdcc4040038

Anomaly Detection Trusted Hardware Sensors for Critical Infrastructure Legacy Devices

Auteurs: Apostolos P. Fournaris, Charis Dimopoulos, Konstantinos Lampropoulos, Odysseas Koufopavlou
Publié dans: Sensors, Numéro 20/11, 2020, Page(s) 3092, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s20113092

Profiling Dilithium Digital Signature Traces for Correlation Differential Side Channel Attacks

Auteurs: Apostolos P. Fournaris, Charis Dimopoulos, Odysseas Koufopavlou
Publié dans: Embedded Computer Systems: Architectures, Modeling, and Simulation - 20th International Conference, SAMOS 2020, Samos, Greece, July 5–9, 2020, Proceedings, Numéro 12471, 2020, Page(s) 281-294, ISBN 978-3-030-60938-2
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-60939-9_19

Livrables

Publications

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