Pregled bibliografske jedinice broj: 1081584
Security Risk Optimization for Multi-cloud Applications
Security Risk Optimization for Multi-cloud Applications // EvoApplications 2020: Applications of Evolutionary Computation
online, 2020. str. 659-669 doi:10.1007/978-3-030-43722-0_42 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1081584 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Security Risk Optimization for Multi-cloud Applications
Autori
Lovrenčić, Rudolf ; Jakobović, Domagoj ; Škvorc, Dejan ; Groš, Stjepan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
EvoApplications 2020: Applications of Evolutionary Computation
/ - , 2020, 659-669
Skup
EvoStar: The Leading European Event on Bio‑Inspired Computation
Mjesto i datum
Online, 15.04.2020. - 17.04.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
cloud computing ; multi-cloud applications ; risk assessment ; security optimization ; multi-objective optimization
Sažetak
Security proved to be a major concern when organizations outsource their data storage and processing. Encryption schemes do not provide solutions as they disable data processing in the cloud. Researchers have used constraint-based data fragmentation to increase security while maintaining availability. We build on this approach by applying fragmentation to the application logic in addition to the data in the database and propose a model for security risk assessment in a multi-cloud environment. By applying a multi-objective optimization algorithm to the proposed model, we determine pareto-optimal distributions of application and data fragments to the available cloud providers.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
KK.01.2.1.01.0109
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Dejan Škvorc
(autor)
Rudolf Lovrenčić
(autor)
Domagoj Jakobović
(autor)
Stjepan Groš
(autor)