Trustworthy Execution in Untrustworthy Autonomous Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00135188" target="_blank" >RIV/00216224:14330/23:00135188 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/TrustCom60117.2023.00240" target="_blank" >http://dx.doi.org/10.1109/TrustCom60117.2023.00240</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TrustCom60117.2023.00240" target="_blank" >10.1109/TrustCom60117.2023.00240</a>
Alternative languages
Result language
angličtina
Original language name
Trustworthy Execution in Untrustworthy Autonomous Systems
Original language description
With the increasing pervasiveness of software solutions, which are joining cyber-physical spaces and forming partnerships with humans, the importance of the trustworthiness of these systems is growing. At the same time, however, trustworthiness assurance is becoming extremely difficult in these complex ecosystems due to the high autonomy, unpredictability and limited controllability of their individual players. To mitigate safety risks for humans, these Dynamic Autonomous Ecosystems (e.g., Smart Cities) might require their member systems (e.g., Autonomous Vehicles) to execute software modules called Smart Agents to ensure safe coordination among themselves. Unfortunately, this technology is currently in its very early development with many challenges ahead. Namely, there is no guaranteed way of ensuring that these agents run on the right piece of hardware, with the right privileges required to fulfill their roles, and without the execution environment tampering with their instructions. This way, the host system (e.g., the Autonomous Vehicle we need to control for the sake of the safety of other ecosystem members) can escape the actual safety measures to be enforced. In this paper, we are proposing a novel software architecture that focuses on the detection of instruction tampering and privileged access in Smart Agents, and this way support the vision of trustworthy and safe evolution of Dynamic Autonomous Ecosystems.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
ISBN
9798350381993
ISSN
2324-898X
e-ISSN
—
Number of pages
8
Pages from-to
1766-1773
Publisher name
IEEE
Place of publication
Neuveden
Event location
Exeter, UK
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001239879400216