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CARAMEL Workshop

CARAMEL Workshop

As part of the CARAMEL activities on 27 May 2021, starting at 09:00, a 2-hour virtual workshop will be held. The CARAMEL project will introduce their activities to representatives of OEMs to increase the reach and gather opinions about the topics addressed by CARAMEL.

The objective of this workshop will be to highlight the achieved results toward the development of Artificial Intelligence-based cybersecurity for connected and automated vehicles.

Main Pillars of the project

Pillar 1: Autonomous Mobility
Pillar 2: Connected mobility
Pillar 3: Electromobility
Pillar 4: Remote Control Vehicle (RCV)

Registration Link

https://us02web.zoom.us/meeting/register/tZcrd-qoqjMvHNLMw6lN3bhzAkkMwaMXky1U

Korean Partners contribution plans to CARAMEL

Korean Partners contribution plans to CARAMEL

With the inclusion of the Korean (KR) Partners i.e. KATECH Korea Automotive Technology Institute, MOBIGEN and ETRI The Electronics and Telecommunications Research Institute to the CARAMEL consortium, there is now a 4th pillar ‘Remote Control Vehicle (RCV)’ added to CARAMEL pillars i.e. Pillar 1: Autonomous Mobility, Pillar 2: Connected Mobility & Pillar 3: Electromobility. The focus of the KR partners would be to develop a vehicle gateway to remote control vehicle and built an Automotive Cyber Security module based on AI edge. The plan is to have ML based intrusion detection and estimation algorithm in the Gateway & RCV controller.

The activities planned by the partners around the 4th Pillar are:

  1. KATECH:
    • With support from Renault Samsung Motors will provide Remote Controlled Vehicle (Renault Arkana) with remote control functionality (front, left, right and rear view streaming system, Around View Monitoring System).
    • Real time dashboard to monitor vehicle status and ADAS system status(Land Departure Warning, Blind Spot Warning, Forward Collision Warning, Parking Assist).
    • Urban type proving ground for conducting PoC.
    • Scenario driven attack and pilot
    • Provide RCV HW platform
    • Lead dissemination activities for KR partners and contribute to CARAMEL dissemination.
  2. MOBIGEN:
    • Analysis of security & privacy requirements for RCV.
    • Threat modelling for RCV.
    • Investigate CyberThreat detection and response techniques for RCV.
    • Provide big data analysis HW & SW platform for CyberThreat detection (AI Edge) at the vehicle (front end)
    • Scenario driven attack and pilot
    • Work with Korean vehicle manufacturers and cybersecurity SW vendors for Business model in Korea and collaborate with EU partners on any potential global BM development.
  3. ETRI:
    • Analysis of security & privacy requirements for RCV.
    • Threat modelling for RCV.
    • Investigate CyberThreat detection and response techniques for RCV.
    • Provide ML based CyberThreat detection and analysis SW at the control center of the RCV (Back end).
    • Scenario driven attack and pilot
    • Collaborate with EU standardization partners to co-edit contributions and reflect onto relevant standards.

The KR partners would be utilizing the EU related deliverables as base references and then identify and investigate additional / unique security requirement as well as threat models with regards to RCV.

We look forward to the contributions and activities along with the Korean Partners.

CARAMEL EC review meeting

CARAMEL EC review meeting

On 24 February 2021, the CARAMEL project held its first review meeting aiming to evaluate the performance during the first half of the project’s life.
The meeting was attended by representatives of the European Commission who acted as evaluators, the CARAMEL project officer and representatives of each of the CARAMEL consortium member companies.
Presentations relevant to each of the work packages were made during the meeting. In which the work carried out in the following areas can be highlighted.

  • Mitigating Image Noise Attacks with Deep Learning
  • Noise Suppression Using Total Variation PDE
  • Cyberthreat Detection and Response Techniques for Cooperative Automated Vehicles
  • Cyberthreat Detection and Response Techniques for Plug-in Electrical Vehicles
  • DriveGuard: Robustification of Automated Driving Systems with Spatio-Temporal Convolutional Autoencoder
  • Mitigation on camera sensor attacks using LiDAR
  • In-vehicle Location Spoofing Attack Detection
  • GPS Spoofing Attack in Collaborative Vehicles
  • Backend Solution
Joint standardisation workshop on cyberattack projects

Joint standardisation workshop on cyberattack projects

On 22 January 2021, CARAMEL will be presented by our technical coordinator Peter Hofmann as part of the first joint standardisation workshop on cyberattack projects. It will be attended by other consortia that are also funded by the H2020 initiative.

All participating consortia belongs to the H2020-SU-ICT-2018-2020 call funded by the H2020 initiative which funds cybersecurity related projects.

CARAMEL is pleased to participate in this initiative. We will be updating you shortly on the joint activities arising from the workshop.

5th Innovation & Entrepreneurship Forum (IEF2020) 2nd Presentation

5th Innovation & Entrepreneurship Forum (IEF2020) 2nd Presentation

IEF 2020 is organized by the Centre for Entrepreneurship of the University of Cyprus in collaboration with PwC Cyprus. The 2020 Forum will bring together AI experts, researchers and professionals, decision-makers, entrepreneurs and game-changers to discuss the Challenge of Artificial Intelligence and address the most defying questions around the future of AI and its impact on society, economy and politics.

Recently our collaborators from University of Cyprus presented their AI research results “DriveGuard: A deep learning technique for countering cyber-attacks against autonomous vehicle camera sub-systems in the context of the H2020 CARAMEL project” as part of the activities of the 5th innovation & Entrepreneurship Forum (IEF2020): “The Challenge of AI”

Abstract

In the context of CARAMEL, we investigate the effect of camera sensor attacks for visual AI tasks in autonomous vehicles and present research results for a deep learning technique called DriveGuard, that act as a defense and mitigation mechanism for autonomous vehicle perception systems. This approach can provide protection against scenarios where an attacker can gain access to vital vehicle components by taking advantage of over-the-air updates in order to instantiate attacks that are not immediately detectable or perceivable, in contrast to just switching components off. DriveGuard utilizes the convolutional autoencoder family of deep learning networks to build an approach for efficient image reconstruction and anomaly detection. The approach will be integrated into an embedded anti-hacking device that will be capable for passive detection of attacks on an autonomous vehicle’s visual perception modules.

Approach to guard the segmentation module. The algorithm identifies different objects on the scene.
Left) Original image, Center) Attacked image, Right) Reconstructed image

You can find more information about this topic at the following video:

5th Innovation & Entrepreneurship Forum (IEF2020)

5th Innovation & Entrepreneurship Forum (IEF2020)

IEF 2020 is organized by the Centre for Entrepreneurship of the University of Cyprus in collaboration with PwC Cyprus. The 2020 Forum will bring together AI experts, researchers and professionals, decision-makers, entrepreneurs and game-changers to discuss the Challenge of Artificial Intelligence and address the most defying questions around the future of AI and its impact on society, economy and politics.

Recently our collaborators from University of Cyprus presented “A modular approach to detect GPS location spoofing attack in autonomous vehicles” as part of the activities of the 5th innovation & Entrepreneurship Forum (IEF2020): “The Challenge of AI”

Autonomous vehicles can interact with their environment without human interaction through built-in sensors such as radar, rgb, lidar, GPS, ultrasonic that interact with the ECU to make automatic decisions. Therefore, enabling improvements in fuel efficiency, reduction of travel time, reduction of accidents, among others.

However, this dependence on sensor readings makes autonomous vehicles susceptible to attacks. An attacker could send false GPS signals to deceive the autonomous vehicles.

In this context, it’s being presented a cost-effective and modular solution for the AVs to timely and reliably detect and mitigate the GPS spoofing attack. Specifically, we develop an in-vehicle detection scheme that leverages multi-sensor fusion coupled with Bayesian filtering to produce in real-time an alternative GPS-free location stream of the AV that is used to check the integrity of the GPS location stream.

We invite you to watch the video presentation.

IEF2020 – Home (c4e.org.cy)

Learn more about our new partners

Learn more about our new partners

During the last months the coordinator of the project Pouria Sayaad Kodashenas has been in constant contact with Korean entities with the purpose of concreting a new mutual agreement of joint work between 3 new Korean entities and the CARAMEL Project. It is a pleasure to announce that this agreement has finally been consolidated.
 
With this announcement we are keen to welcome the group of companies that from now on have become official members of the CARAMEL consortium.
  • KATECH
  • MOBIGEN
  • ETRI
KATECH Korea Automotive Technology Research Institute is a research institute in Korea specializing in automotive parts. They were stablished in 1990 with the aim of developing domestic automobile technology research. A lustrum after they expanded their business as an Authorized Testing Institution. improving reliability. During the first decade of the 20th century they have been continuing its development of autoparts with a focus on endeavor quality improvements. After a successful start they have been focusing also on RnD activities.
 

MOBIGEN is a South Korean company that started its business in 2000, after it opened its R&D Center. Since its establishment, they have been awarded many distinctions due to its outstanding performance. They have been focusing on Big Data & OSS(Operations Support System) Solution Provider for Operators in Major Infra Structure – Telecom, Electricity & Utility, mostly with a focus on Research and Development. The core concept of Mobigen solutions focuses on the Real-time Processing of Massive Data.

ETRI The Electronics and Telecommunications Research Institute is a Korean government-funded research institution. ETRI makes contribution to the nation’s economic and social development through research, development, and distribution of industrial core technologies in the field of Information, Communications, Electronics, Broadcasting, and Convergence technologies.

Its Role in CARAMEL

Providing trial site and trial execution

Remote driving use case

Vehicle Gateway

Automotive cyber security AI edge HW platform

Cyber attack detection and estimation algorithm based on ML

7th General Assembly meeting

7th General Assembly meeting

The CARAMEL project held its seventh plenary meeting in an online format with representatives of each of the consortium’s member companies, and on this occasion we had the participation of the new official partners.

In such meting each of the consortium entity gave a brief introduction to its former company, and a brief explanation about its role in the project.

it was an outstanding introductory meeting among all participants.

Exploring adversarial attacks and defenses for fake twitter account detection

Exploring adversarial attacks and defenses for fake twitter account detection

Did you know that some of the most common used social media channels are being affected by the creation of false accounts that aims to bias the opinion of specific large groups of people by publishing fake news.

Have you ever thought how might be possible to detect such accounts?

One of CARAMEL’s partners  has just released a very interesting article about Exploring Adversarial Attacks and Defences for Fake Twitter Account Detection.

We encourage to read this interesting just released paper.

  • Kantartopoulos, Panagiotis, Nikolaos Pitropakis, Alexios Mylonas, and Nicolas Kylilis. “Exploring Adversarial Attacks and Defences for Fake Twitter Account Detection”. Technologies 8, no. 4 (2020): 64. doi:https://doi.org/10.3390/technologies8040064.
    AbstractURLBibTeXEndNoteDOI
Online General Assembly Meeting

Online General Assembly Meeting

The CARAMEL project held its sixth plenary meeting in an online format with representatives of each of the consortium’s member companies.

This special session was attended by the external advisory board EAB, composed of international experts in the key areas for CARAMEL, who listened to the progress made in each of the work packages and provided strategic guidance and support, so that the project would achieve the proposed objectives.

On this occasion, the topics addressed were

  • WP2 Use cases, risk assessment, requirements and architecture
  • WP3 Countermeasures and mitigation techniques for advanced cybersecurity
  • WP4 Cross-cutting detection and cybersecurity prevention
  • WP5 Development of antihacking device and in-depth defense
  • WP7 Dissemination, communication and exploitation of results

Theme: Elation by Kaira.