Secure Intelligent Methods for Advanced Recognition of Malware and Stegomalware
Short Title: SIMARGL
Principal Investigator: Luca Caviglione
Strategic Areas: Information Technology
Project Areas: CyberSecurity
Staff
Funding Body
EU H2020-SU-ICT-2018
Year of start/end
2019 / 2022
PDGP CODE
DIT.AD006.047.001
Project Web SiteActivity
SIMARGL is a project co-funded by the European Commission under Horizon 2020 programme, to combat the pressing problem of malware. It aims to tackle the new challenges in the cybersecurity field, including information hiding methods, network anomalies, stegomalware, ransomware and mobile malware. SIMARGL will offer an integrated and validated toolkit improving European cyber security. The cutting-edge of the proposed solution stems from the development of a more general approach, one that has the ability to counteract the new, complex malware. SIMARGL will use breakthrough methods and algorithms to analyze the data from networks, such as: concept drift detectors, advanced signal processing and transformations, lifelong learning intelligent systems approach, hybrid classifiers, and deep learning, just to mention some techniques.
HighLight
cybersecurity
Linked Products
- 2022, Journal article
Analysis of Reversible Network Covert Channels
Przemyslaw Szary, Wojciech Mazurczyk, Steffen Wendzel, Luca Caviglione - 2022, Journal article
Code Layering for the Detection of Network Covert Channels in Agentless Systems
M. Zuppelli, M. Repetto, A. Schaffhauser, W. Mazurczyk, L. Caviglione - 2022, Journal article
IPv6CC: IPv6 Covert Channels for Testing Networks Against Stegomalware and Data Exfiltration
L. Caviglione, A. Schaffhauser, M. Zuppelli, W. Mazurczyk - 2022, Journal article
Never Mind The Malware, Here's The Stegomalware
Luca Caviglione, Wojciech Mazurczyk - 2021, Journal article
An Effective and Efficient Approach to Improve Visibility Over Network Communications
Marco Zuppelli, Alessandro Carrega, Matteo Repetto - 2021, Journal article
Covert Channels in Transport Layer Security: Performance and Security Assessment
Corinna Heinz, Marco Zuppelli, Luca Caviglione - 2021, Journal article
Cyber Reconnaissance Techniques
Wojciech Mazurczyk and Luca Caviglione - 2021, Journal article
Kernel-level Tracing for Detecting Stegomalware and Covert Channels in Linux Environments
Luca Caviglione, Wojciech Mazurczyk, Matteo Repetto, Andreas Schaffhauser, and Marco Zuppelli - 2021, Journal article
Tight Arms Race: Overview of Current Malware Threats and Trends in Their Detection
L. Caviglione, M. Choras, I. Corona, A. Janicki, W. Mazurczyk, M. Pawlicki, K. Wasielewska - 2021, Journal article
Trends and Challenges in Network Covert Channels Countermeasures
Luca Caviglione - 2020, Journal article
Fine-hearing Google Home: why silence will not protect your privacy
Davide Caputo, Luca Verderame, Andrea Ranieri, Alessio Merlo, Luca Caviglione - 2020, Journal article
Not all areas are equal: analysis of citations in information security research
S. Wendzel, C. Lévy-Bencheton, and L. Caviglione - 2020, Journal article
VoIP Network Covert Channels to Enhance Privacy and Information Sharing
J. Saenger, W. Mazurczyk, J. Keller and Luca Caviglione - 2022, Essay or book chapter
Privacy-Leaking and Steganographic Threats in Wireless Connected Environments
Luca Caviglione - 2022, Conference posters
Are We Protected Against Network Covert Channels?
Marco Zuppelli - 2021, Conference proceedings
A Revised Taxonomy of Steganography Embedding Patterns
S. Wendzel, L. Caviglione, W. Mazurczyk, A. Mileva, J. Dittmann, C. Krätzer, K. Lamshöft, C. Vielhauer, L. Hartmann, J. Keller, T. Neubert - 2021, Conference proceedings
bccstego: A Framework for Investigating Network Covert Channels
M. Repetto, L. Caviglione, M. Zuppelli - 2021, Conference proceedings
Code Augmentation for Detecting Covert Channels Targeting the IPv6 Flow Label
L. Caviglione, M. Zuppelli, W. Mazurczyk, A. Schaffhauser, M. Repetto - 2021, Conference proceedings
Detecting Covert Channels Through Code Augmentation
M. Zuppelli, L. Caviglione, M. Repetto - 2021, Conference proceedings
pcapStego: A Tool for Generating Traffic Traces for Experimenting with Network Covert Channels
M. Zuppelli, L. Caviglione - 2021, Conference communications
Rilevamento Efficiente di Covert Channel Preservando la Riservatezza del Traffico
Marzo Zuppelli, Luca Caviglione, Corrado Pizzi, Matteo Repetto - 2021, Conference proceedings
Sanitization of Images Containing Stegomalware via Machine Learning Approaches
M. Zuppelli, G. Manco, L. Caviglione, M. Guarascio - 2020, Conference proceedings
Covert Channels in Transport Layer Security
Corinna Heinz, Wojciech Mazurczyk, Luca Caviglione - 2020, Conference proceedings
Design and Performance Evaluation of Reversible Network Covert Channels
Przemyslaw Szary, Wojciech Mazurczyk, Steffen Wendzel, Luca Caviglione - 2020, Conference proceedings
Programmable Data Gathering for Detecting Stegomalware
A. Carrega, L. Caviglione, M. Repetto and M. Zuppelli - 2020, Conference proceedings
Stegomalware Detection Through Structural Analysis of Media Files
Damian Puchalski, Luca Caviglione, Rafal Kozik, Adrian Marzecki, Slawomir Krawczyk, Michal Choras - 2019, Conference proceedings
IPv6 Covert Channels in the Wild
W. Mazurczyk, K. Powójski, and L. Caviglione - 2019, Conference proceedings
Towards reversible storage network covert channels
W. Mazurczyk, P. Szary, S. Wendzel and L. Caviglione