Sharing and Automation for Privacy Preserving Attack Neutralization

Rezultaty

Report of practitioners’ requirements with respect to visualisation.

A plan for the dissemination of project results with a detailed set of strategic actions for the whole duration of the project and beyond.

Approach for capturing incident response and recovery steps

Approach to involve humans and capture response and recovery steps in new environment and/or from existing tools.

Global model based on shared local models, first version

Techniques for federated learning of a global anomaly detection model based on sharing locally trained models

Exploitation plan and reports at M12

Plan for the commercial exploitation and technology transfer for the project, which will define the strategy followed by the consortium to take exploitable outcomes of the project to market.

Global model based on shared anonymised data, final version

Techniques for distributed learning of a global anomaly detection model based on shared anonymized data

Dissemination Plan and Reports at M24

A plan for the dissemination of project results with a detailed set of strategic actions for the whole duration of the project and beyond

Sharing response handling information, first version

Methods for sharing response handling information in a privacypreserving fashion

Vocabulary for incident data and response and recovery actions

Interoperable and standardised vocabulary to express knowledge captured from existing tools outside of SAPPAN and from within the project

Global model without sharing local models, final version

Techniques for federated learning of a global anomaly detection model from locally trained models in a privacy preserving fashion

High-impact use cases analysis

Define SAPPAN use-cases.

Global model based on shared local models, final version

Techniques for federated learning of a global anomaly detection model based on sharing locally trained models

Dissemination Plan and Reports at M3

A plan for the dissemination of project results with a detailed set of strategic actions for the whole duration of the project and beyond.

Report on Information and Presentation Materials at M12

Materials that will help presenting the project’s results to all interested stakeholders.

Report on Information and Presentation Materials at M24

Materials that will help presenting the projects results to all interested stakeholders

Global model without sharing local models, first version

Techniques for federated learning of a global anomaly detection model from locally trained models in a privacy preserving fashion

Report on Information and Presentation Materials at M36

Materials that will help presenting the projects results to all interested stakeholders

Global model based on shared anonymised data, first version

Techniques for distributed learning of a global anomaly detection model based on shared anonymized data

IP plan, reports and IPR issues at M12

Update of the plan for IP management, including the outcome of negotiation meetings to determine the percentage of effective contribution of each individual partner to each IPR object.

Dissemination Plan and Reports at M36

A plan for the dissemination of project results with a detailed set of strategic actions for the whole duration of the project and beyond

Sharing response handling information, final version

Methods for sharing response handling information in a privacypreserving fashion

Privacy requirements

Report of practitioners’ requirements with respect to privacy.

Demonstrator of visual support for designing detection models, initial version

Initial version of demonstrator for interactive detection model analysis building and visualisation of networkrelated data

SAPPAN dashboard, initial version

Prototypical development of dashboard integrating all visualisations that serves as enduser frontend

Demonstrator for visualisation support for distributed and federated learning

Demonstrator extending the Demonstrator of visual support for designing detection models with support for distributed and federated learning

SAPPAN demonstrator

SAPPAN system integrated from individual components

Demonstrator for tracking provenance in visual analyses, final version

Demonstrator that extends the Demonstrator of visual support for designing detection models with support for tracking the users activities and presenting them in an appropriate way to follow the analysis process

Demonstrator for tracking provenance in visual analyses, first version

SAPPAN dashboard, final version

Prototypical development of dashboard integrating all visualisations that serves as enduser frontend

Demonstrator for uncertainty visualisation

Demonstrator for visualisation of uncertainty inherent to machine learning techniques and induced by anonymisation

Demonstrator of visual support for designing detection models, final version

Final version of demonstrator for interactive detection model analysis building and visualisation of networkrelated data

Algorithm to automate recommended response and recovery actions without human operators, final version

Algorithm to use captured knowledge to perform actions automatically

Algorithm to automate recommended response and recovery actions without human operators, first version

Algorithm to use captured knowledge to perform actions automatically.

Algorithm to recommend response and recovery actions to human operators, final version

Algorithm to use captured knowledge to recommend actions to human

Algorithm to recommend response and recovery actions to human operators, first version

Algorithm to use captured knowledge to recommend actions to human.

Project Website

A website for public dissemination of the progress and achievements.

Publikacje

Laying Ground Truth in Network-based Software Fingerprinting

Autorzy: Olav Lamberts
Opublikowane w: 2020
Wydawca: RWTH Aachen University

Local Differential Privacy Preserving Intrusion Detection Systems

Autorzy: Melanie Martini
Opublikowane w: 2020
Wydawca: RWTH Aachen University

Graph-Based Analysis of IP Flows

Autorzy: Aneta Jablunkova
Opublikowane w: 2021
Wydawca: Masaryk University

A Study of Model Inversion Defenses in Deep Learning

Autorzy: Benedikt Holmes
Opublikowane w: 2020
Wydawca: RWTH Aachen University

Detecting Obfuscated Scripts With Machine Learning Techniques

Autorzy: Mariam Pogosova
Opublikowane w: 2020
Wydawca: Aalto University

Visual Correlation of Network Flows and Host-Based Data

Autorzy: Carlos Moreno Sanchez
Opublikowane w: 2020
Wydawca: University of Stuttgart

Applying Privacy Preserving Data Mining to Intrusion Detection Systems

Autorzy: Clemens Frank
Opublikowane w: 2019
Wydawca: RWTH Aachen University

Multiclass Classification of DGAs using Classical Machine Learning Approaches

Autorzy: Nils Faerber
Opublikowane w: 2020
Wydawca: RWTH Aachen University

Graph-based Anomaly Detection in Network Traffic

Autorzy: Denisa Sramkova
Opublikowane w: 2021
Wydawca: Masaryk University

Hardening of Domain Generation Algorithm Classifiers

Autorzy: Mike Lorang
Opublikowane w: 2020
Wydawca: RWTH University

Distributed and Automated Network Traffic Generation of Applications with a Graphical User Interface

Autorzy: Paul Suetterlin
Opublikowane w: 2021
Wydawca: RWTH Aachen University

DGA Detection on Encrypted DNS Traffic using Machine Learning

Autorzy: Markus Baumgart
Opublikowane w: 2020
Wydawca: RWTH Aachen University

Application Fingerprinting using Deep Learning based on Network Traffic

Autorzy: Raoul Offizier
Opublikowane w: 2022
Wydawca: RWTH Aachen University

Adversarial Attacks and Defenses on DGA classifiers

Autorzy: Konstantin Kaulen
Opublikowane w: 2021
Wydawca: RWTH Aachen University

Anonymization and Sharing of application-labeled Network Traces

Autorzy: Alexander Loebel
Opublikowane w: 2022
Wydawca: RWTH Aachen University

Software Specific Network Traffic Generation by Automation of the Graphical User Interface

Autorzy: Frederik Basels
Opublikowane w: 2020
Wydawca: RWTH Aachen University

Visual Comparison of Classifications from Different Machine Learning Models

Autorzy: Komail Mohammadi
Opublikowane w: 2020
Wydawca: University of Stuttgart

Application Fingerprinting based on System Events using Process Mining

Autorzy: Nicolas Heinen
Opublikowane w: 2021
Wydawca: RWTH Aachen University

Machine Learning for Phishing URL Detection

Autorzy: Juraj Smeriga
Opublikowane w: 2020
Wydawca: Masaryk University

A Condensation-based Anonymization Approach for Intrusion Detection

Autorzy: Jonas Rülfing
Opublikowane w: 2020
Wydawca: RWTH Aachen University

A Privacy-Preserving Machine Learning Approach for DGA Detection

Autorzy: Tim Amelung
Opublikowane w: 2021
Wydawca: RWTH Aachen University

Utilizing Adverserial Attacks for Iterative Hardening of DGA Classifiers

Autorzy: Nils Eberhardt
Opublikowane w: 2020
Wydawca: RWTH Aachen University

Application of Process Mining in Software Fingerprinting

Autorzy: Christian van Sloun
Opublikowane w: 2020
Wydawca: RWTH Aachen University

Machine Learning based Handling of Cyber Security Incidents

Autorzy: Marc Burian
Opublikowane w: 2019
Wydawca: RWTH Aachen University

Detection of new DGAs in the Multiclass DGA classification setting

Autorzy: Justus von Brandt
Opublikowane w: 2022
Wydawca: RWTH Aachen University

Process for Automated Threat Response to Phishing

Autorzy: Michal Čech
Opublikowane w: 2021
Wydawca: Masaryk University

Predictive methods in cyber defense: Current experience and research challenges

Autorzy: Martin Husák; Václav Bartoš; Pavol Sokol; Andrej Gajdoš
Opublikowane w: Future Generation Computer Systems, Numer 115, 2021, Strona(/y) 517-530, ISSN 0167-739X
Wydawca: Elsevier BV
DOI: 10.1016/j.future.2020.10.006

From Collaboration to Automation: A Proof of Concept for Improved Incident Response

Autorzy: Lasse Nitz, Martin Zadnik, Mehdi Akbari Gurabi, Mischa Obrecht, Avikarsha Mandal
Opublikowane w: ERCIM News, Numer 129, 2022, Strona(/y) 31-32, ISSN 0926-4981
Wydawca: ERCIM EEIG
DOI: 10.24406/publica-146

Towards Privacy-Preserving Sharing of Cyber Threat Intelligence for Effective Response and Recovery

Autorzy: Lasse Nitz, Mehdi Akbari Gurabi, Avikarsha Mandal, Benjamin Heitmann
Opublikowane w: ERCIM News, Numer 126, 2021, Strona(/y) 33-34, ISSN 0926-4981
Wydawca: ERCIM EEIG

Host Behavior in Computer Network: One-Year Study

Autorzy: Tomas Jirsik; Petr Velan
Opublikowane w: IEEE Transactions on Network and Service Management, Numer 18, 2021, Strona(/y) 822-838, ISSN 1932-4537
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2020.3036528

Interpretable Visualizations of Deep Neural Networks for DomainGeneration Algorithm Detection

Autorzy: Becker, Franziska; Drichel, Arthur; Müller, Christoph; Ertl, Thomas
Opublikowane w: 2020 IEEE Symposium on Visualization for Cyber Security (VizSec), 2020
Wydawca: IEEE
DOI: 10.1109/vizsec51108.2020.00010

First Step Towards EXPLAINable DGA Multiclass Classification

Autorzy: Arthur Drichel; Nils Faerber; Ulrike Meyer
Opublikowane w: ARES 2021: The 16th International Conference on Availability, Reliability and Security, 2021
Wydawca: ACM
DOI: 10.1145/3465481.3465749

DoH Insight - detecting DNS over HTTPS by machine learning

Autorzy: Dmitrii Vekshin, Karel Hynek, Tomas Cejka
Opublikowane w: Proceedings of the 15th International Conference on Availability, Reliability and Security, 2020, Strona(/y) 1-8, ISBN 9781450388337
Wydawca: ACM
DOI: 10.1145/3407023.3409192

Privacy Illusion: Beware of Unpadded DoH

Autorzy: Karel Hynek, Tomas Cejka
Opublikowane w: IEEE IEMCON 2020, 2020
Wydawca: IEEE

Finding Phish in a Haystack: A Pipeline for Phishing Classification on Certificate Transparency Logs

Autorzy: Arthur Drichel; Vincent Drury; Justus von Brandt; Ulrike Meyer
Opublikowane w: ARES 2021: The 16th International Conference on Availability, Reliability and Security, 2021
Wydawca: ACM
DOI: 10.1145/3465481.3470111

Sharing FANCI Features: A Privacy Analysis of Feature Extraction for DGA Detection

Autorzy: Benedikt Holmes; Arthur Drichel; Ulrike Meyer
Opublikowane w: The Sixth International Conference on Cyber-Technologies and Cyber-Systems CYBER 2021, 2021
Wydawca: IARIA

Towards Evaluating Quality of Datasets for Network Traffic Domain

Autorzy: D. Soukup, P. Tisovčík, K. Hynek and T. Čejka
Opublikowane w: 17th International Conference on Network and Service Management (CNSM), 2021
Wydawca: IEEE
DOI: 10.23919/cnsm52442.2021.9615601

A Study on Collaborative Machine Learning for DGA Detection

Autorzy: Arthur Drichel; Benedikt Holmes; Justus von Brandt; Ulrike Meyer
Opublikowane w: Proceedings of the 3rd Workshop on Cyber-Security Arms Race (CYSARM ’21), 2021
Wydawca: ACM
DOI: 10.1145/3474374.3486915

On the Integration of Course of Action Playbooks into Shareable Cyber Threat Intelligence

Autorzy: V. Mavroeidis, P. Eis, M. Zadnik, M. Caselli and B. Jordan
Opublikowane w: IEEE International Conference on Big Data (Big Data), 2021, Strona(/y) 2104-2108
Wydawca: IEEE
DOI: 10.1109/bigdata52589.2021.9671893

Analyzing the real-world applicability of DGA classifiers

Autorzy: Arthur Drichel, Ulrike Meyer, Samuel Schüppen, Dominik Teubert
Opublikowane w: Proceedings of the 15th International Conference on Availability, Reliability and Security, 2020, Strona(/y) 1-11, ISBN 9781450388337
Wydawca: ACM
DOI: 10.1145/3407023.3407030

Making use of NXt to nothing - the effect of class imbalances on DGA detection classifiers

Autorzy: Arthur Drichel, Ulrike Meyer, Samuel Schüppen, Dominik Teubert
Opublikowane w: Proceedings of the 15th International Conference on Availability, Reliability and Security, 2020, Strona(/y) 1-9, ISBN 9781450388337
Wydawca: ACM
DOI: 10.1145/3407023.3409190

Towards Inference of DDoS Mitigation Rules

Autorzy: Martin Zadnik
Opublikowane w: IEEE/IFIP Network Operations and Management Symposium, 2022, Strona(/y) 1-5
Wydawca: IEEE

Detection of https brute-force attacks with packet-level feature set

Autorzy: LUXEMBURK, Jan; HYNEK, Karel; ČEJKA, Tomáš
Opublikowane w: 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC), Numer 11, 2021, Strona(/y) 0114-0122
Wydawca: IEEE
DOI: 10.1109/ccwc51732.2021.9375998

GRANEF: Utilization of a Graph Database for Network Forensics

Autorzy: Milan Cermak, Denisa Sramkova
Opublikowane w: 18th International Conference on Security and Cryptography (SECRYPT 2021), Numer 6. - 8. 7. 2021, 2021, Strona(/y) 785-790, ISBN 978-989-758-524-1
Wydawca: SCITEPRESS
DOI: 10.5220/0010581807850790

VITALflow: Visual Interactive Traffic Analysis with NetFlow

Autorzy: Tina Tremell, Jochen Kögell, Florian Jauernigl, Sebastian Meierl, Dennis Thom, Franziska Becker, Christoph Müller, Steffen Koch
Opublikowane w: 7th International Workshop on Analytics for Network and Service Management (ANNET 2022), 2022
Wydawca: IEEE

Towards Privacy-Preserving Classification-as-a-Service for DGA Detection

Autorzy: Arthur Drichel; Mehdi Akbari Gurabi; Tim Amelung; Ulrike Meyer
Opublikowane w: 18th International Conference on Privacy, Security and Trust (PST), 2021
Wydawca: IEEE
DOI: 10.1109/pst52912.2021.9647755

Large Scale Measurement on the Adoption of Encrypted DNS

Autorzy: García, Sebastián; Hynek, Karel; Vekshin, Dmtrii; Čejka, Tomáš; Wasicek, Armin
Opublikowane w: 2021
Wydawca: arXiv
DOI: 10.48550/arxiv.2107.04436

Leveraging Machine Learning for DGA Detection

Autorzy: Drichel, Arthur
Opublikowane w: International Workshop on Next Generation Security Operations Centers, NG-SOC 2020, , 2020-08-25 - 2020-08-25, 2020
Wydawca: RWTH Aachen University

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