A cybersecurity framework to guarantee reliability and trust for digital service chains – GUARD
Authors:
- Matteo Repetto,
- Armend Duzha,
- Joanna Kołodziej
Abstract
Evolving computing paradigms are progressively introducing new design, development, and operation models for digital services, which increasingly leverage service-oriented architectures and microservices patterns to create data-centric applications. This approach eventually brings more agility in the overall service lifetime management, but also introduces additional security and privacy concerns that cannot be effectively addressed by legacy device- and infrastructure-centric models. The GUARD project developed an extensible platform for building detection and analytics services for advanced assurance and protection of trustworthy and reliable business chains which span multiple administrative domains and heterogeneous infras-tructures. GUARD advocates the implementation of embedded security capabilities in digital services, that can be accessed and orchestrated through API similar to what already happens for management and operation purposes. GUARD features are demonstrated on two challenging use cases, in the Smart Mobility and eHealth domains.
- Record ID
- CUT650c72f450a6463eab74219313114b29
- Publication categories
- ; ;
- Author
- Pages
- 763-766
- Other elements of collation
- rys.; schem.; Bibliografia (na s.) - 766; Bibliografia (liczba pozycji) - 8; Oznaczenie streszczenia - Abstr.
- Book
- Fazio Maria, Maria Fazio Panda Dhabaleswar K., Dhabaleswar K. Panda Prodan Radu Radu Prodan [et al.] (eds.): CCGrid 2022 : 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, 16-19 May 2022, Taormina (Messina), Italy : proceedings, 2022, Los Alamitos [etc.], Institute of Electrical and Electronics Engineers, IEEE, ISBN 978-1-6654-9956-9 (electronic)
- Keywords in English
- privacy, codes, runtime, pipelines, microservice architectures, reliability engineering, software, digital service chains, cross-domain programmatic security and trustworthiness, threat detection and information sharing
- DOI
- DOI:10.1109/CCGrid54584.2022.00088 Opening in a new tab
- URL
- https://ieeexplore.ieee.org/document/9826097 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 20
- Score source
- publisherList
- Score
- Additional fields
- Indeksowana w: Web of Science, Scopus, CORE
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT650c72f450a6463eab74219313114b29/
- URN
urn:pkr-prod:CUT650c72f450a6463eab74219313114b29
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.