Informace o projektu
Forensic Support for Building Trust in Smart Software Ecosystems
(ForTrust)
- Kód projektu
- MUNI/G/1142/2022
- Období řešení
- 4/2023 - 12/2025
- Investor / Programový rámec / typ projektu
-
Masarykova univerzita
- Grantová agentura MU
- INTERDISCIPLINARY - Mezioborové výzkumné projekty
- Fakulta / Pracoviště MU
-
Fakulta informatiky
- doc. Ing. RNDr. Barbora Bühnová, Ph.D.
- RNDr. Lukáš Daubner, Ph.D.
- Danish Iqbal, M.Sc.
- RNDr. Daša Kušniráková
- Bc. Sofija Maksović
- Další fakulta/pracoviště MU
- Právnická fakulta
With the rising threat of crime in cyberspace, a growing need emerges for forensic investigation of these cybercrimes. Such investigations are highly time-consuming with delicate supportive processes. The problem of systematic preparation for the potential forensic investigation during the software development process, called forensic readiness, has only been explored recently. Therefore there are still many open issues and challenges, with missing methods and guidelines that would support software engineers in building forensic-ready software systems.
One of the essential open challenges in the cybersecurity and forensic-readiness space is the risk of malicious intentions of smart software agents joining a software ecosystem (e.g. AI-enhanced software update downloaded to an autonomous driving car). To understand the intentions of such a smart software agent and decide whether it can be trusted and given access to critical system functions, forensic-driven evidence collection can be of enormous help to detect malicious intentions or trust attacks that the smart software agent might involve in to improve its trustability or whitewash its reputation.
The project aims to create methodological support for the development of AI-enhanced software ecosystems prepared for real-time and post-incident forensic analysis, which in the event of a cyber-security incident would be able to reveal the circumstances of the incident, and point to the accountability of the individual software agents. The method will be centered around the concept of trust management and forensic-driven evidence collection. The forensic-analysis support will be designed to produce complete, undeniable and authentic information forming digital evidence with potentially high evidentiary value, to feed back to the trust management process.
Cíle udržitelného rozvoje
Masarykova univerzita se hlásí k cílům udržitelného rozvoje OSN, jejichž záměrem je do roku 2030 zlepšit podmínky a kvalitu života na naší planetě.
Publikace
Počet publikací: 11
2024
-
Exploring Trust Black-Swan Blindness in Social Internet of Vehicles (SIoV)
The 12th ACM/IEEE International Workshop on Software Engineering for Systems-of-Systems and Software Ecosystems (SESoS 2024), rok: 2024
-
Forensic-Ready Analysis Suite: A Tool Support for Forensic-Ready Software Systems Design
International Conference on Research Challenges in Information Science (RCIS 2024), rok: 2024
-
Future Vision of Dynamic Certification Schemes for Autonomous Systems
Evaluation of Novel Approaches to Software Engineering. ENASE 2023. Communications in Computer and Information Science, rok: 2024
-
It Cannot Be Right If It Was Written by AI: On Lawyers' Preferences of Documents Perceived as Authored by an LLM vs a Human
Artificial Intelligence and Law, rok: 2024, DOI
-
It Cannot Be Right If It Was Written by AI: On Lawyers' Preferences of Documents Perceived as Authored by an LLM vs a Human (preprint)
Rok: 2024, druh: Článek v odborném periodiku (nerecenzovaný)
-
Taxonomy of Governance Mechanisms for Trust Management in Smart Dynamic Ecosystems
Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering, rok: 2024
-
Towards Anthropomorphic Trust Management for Digital Society
The 21st IEEE International Conference on Software Architecture -Companion (ICSA-C 2024), rok: 2024
-
When Trustless meets Trust: Blockchain Consensus Review and Reconsideration
The 28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES), rok: 2024
2023
-
Data Loss Prevention Solution for Linux Endpoint Devices
ARES '23: Proceedings of the 18th International Conference on Availability, Reliability and Security, rok: 2023
-
Detecting Masquerading Traitors from Process Visualization of Computer
2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), rok: 2023