Avikarsha Mandal

19 papers B 1Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
From Legacy to Standard: LLM-Assisted Transformation of Cybersecurity Playbooks into CACAO Format.
CoRR
Mehdi Akbari Gurabi, Lasse Nitz, Radu-Mihai Castravet, Roman Matzutt, Avikarsha Mandal, Stefan Decker
2025 J jnl
On Collaboration and Automation in the Context of Threat Detection and Response with Privacy-Preserving Features.
Digit. Threat. Res. Pract.
Lasse Nitz, Mehdi Akbari Gurabi, Milan Cermák, Martin Zádník, David A. Karpuk, Arthur Drichel, Sebastian Schäfer, Benedikt Holmes, Avikarsha Mandal
2024 — conf
A Conceptual Framework to Leverage Heuristics for Effective Human-Machine Collaboration in Incident Handling.
SecITC
Mehdi Akbari Gurabi, Muhammad Usman Mansoor, Roman Matzutt, Avikarsha Mandal, Stefan Decker
2024 J jnl
Bloom Encodings in DGA Detection: Improving Machine Learning Privacy by Building on Privacy-Preserving Record Linkage.
J. Univers. Comput. Sci.
Lasse Nitz, Avikarsha Mandal
2024 — conf
On Data Spaces for Retrieval Augmented Generation.
INFORMATIK
Felix Hermsen, Lasse Nitz, Mehdi Akbari Gurabi, Roman Matzutt, Avikarsha Mandal
2024 J jnl
Requirements for Playbook-Assisted Cyber Incident Response, Reporting and Automation.
DTRAP
Mehdi Akbari Gurabi, Lasse Nitz, Andrej Bregar, Jan Popanda, Christian Siemers, Roman Matzutt, Avikarsha Mandal
2024 J jnl
Scalable Semi-Supervised Graph Learning Techniques for Anti Money Laundering.
IEEE Access
Md. Rezaul Karim, Felix Hermsen, Sisay Adugna Chala, Paola de Perthuis, Avikarsha Mandal
2024 J jnl
Strengthening Cyber Defence through Cooperative Development and Shared Expertise in Incident Response Playbooks.
ERCIM News
Mehdi Akbari Gurabi, Lasse Nitz, Charukeshi Joglekar, Avikarsha Mandal
2023 J jnl
Catch Me If You Can: Semi-supervised Graph Learning for Spotting Money Laundering.
CoRR
Md. Rezaul Karim, Felix Hermsen, Sisay Adugna Chala, Paola de Perthuis, Avikarsha Mandal
2023 — conf
DGA Detection Using Similarity-Preserving Bloom Encodings.
EICC
Lasse Nitz, Avikarsha Mandal
2023 — conf
Privacy and Utility Evaluation of Synthetic Tabular Data for Machine Learning.
Privacy and Identity Management
Felix Hermsen, Avikarsha Mandal
2023 — conf
Towards Privacy-Preserving Machine Learning in Sovereign Data Spaces: Opportunities and Challenges.
Privacy and Identity Management
Mehdi Akbari Gurabi, Felix Hermsen, Avikarsha Mandal, Stefan Decker
2022 J jnl
From Collaboration to Automation: A Proof of Concept for Improved Incident Response.
ERCIM News
Lasse Nitz, Martin Zádník, Mehdi Akbari Gurabi, Mischa Obrecht, Avikarsha Mandal
2022 B conf
SASP: a Semantic web-based Approach for management of Sharable cybersecurity Playbooks.
ARES
Mehdi Akbari Gurabi, Avikarsha Mandal, Jan Popanda, Robert Rapp, Stefan Decker
2021 J jnl
Towards Privacy-Preserving Sharing of Cyber Threat Intelligence for Effective Response and Recovery.
ERCIM News
Lasse Nitz, Mehdi Akbari Gurabi, Avikarsha Mandal, Benjamin Heitmann
2020 — —
On security and privacy of consensus-based protocols in blockchain and smart grid.
Avikarsha Mandal
2018 — conf
Privacy-Preserving Distributed Economic Dispatch Protocol for Smart Grid.
NordSec
Avikarsha Mandal, Frederik Armknecht, Erik Zenner
2016 — conf
Privacy Preserving Consensus-Based Economic Dispatch in Smart Grid Systems.
FNSS
Avikarsha Mandal
2015 — conf
Ripple: Overview and Outlook.
TRUST
Frederik Armknecht, Ghassan O. Karame, Avikarsha Mandal, Franck Youssef, Erik Zenner