A paradigm for safe adaptation of collaborating robots
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00126612" target="_blank" >RIV/00216224:14330/22:00126612 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/3524844.3528061" target="_blank" >http://dx.doi.org/10.1145/3524844.3528061</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3524844.3528061" target="_blank" >10.1145/3524844.3528061</a>
Alternative languages
Result language
angličtina
Original language name
A paradigm for safe adaptation of collaborating robots
Original language description
The dynamic forces that transit back and forth traditional boundaries of system development have led to the emergence of digital ecosystems. Within these, business gains are achieved through the development of intelligent control that requires a continuous design and runtime co-engineering process endangered by malicious attacks. The possibility of inserting specially crafted faults capable to exploit the nature of unknown evolving intelligent behavior raises the necessity of malicious behavior detection at runtime. Adjusting to the needs and opportunities of fast AI development within digital ecosystems, in this paper, we envision a novel method and framework for runtime predictive evaluation of intelligent robots' behavior for assuring a cooperative safe adjustment.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SEAMS '22: Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems
ISBN
9781450393058
ISSN
2157-2305
e-ISSN
—
Number of pages
7
Pages from-to
113-119
Publisher name
IEEE
Place of publication
New York, USA
Event location
New York, USA
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000851573900015