RT Conference Proceedings
T1 Multi-cloud applications security monitoring
A1 Carvallo, Pamela
A1 Cavalli, Ana R.
A1 Mallouli, Wissam
A1 Rios, Erkuden
A2 Au, Man Ho Allen
A2 Choo, Kim-Kwang Raymond
A2 Li, Kuan-Ching
A2 Castiglione, Arcangelo
A2 Palmieri, Francesco
AB The issue of data security and privacy in multi-cloud based environments requires different solutions for implementing and enforcing security policies. In these environments, many security aspects must be faced, such as security-by-design, risk management, data privacy and isolation, and vulnerability scans. Moreover, it also becomes necessary to have a system that interrelates and operates all security controls which are configured and executed independently on each component of the application (service) being secured and monitored. In addition, thanks to the large diffusion of cloud computing systems, new attacks are emerging, so threat detection systems play a key role in the security schemes, identifying possible attacks. These systems handle an enormous volume of information as they detect unknown malicious activities by monitoring different events from different points of observation, as well as adapting to new attack strategies and considering techniques to detect malicious behaviors and react accordingly. To target this issue, we propose in the context of the MUSA EU Horizon 2020 project [1], a security assurance platform that allows monitoring the multi-cloud application deployed in different Cloud Server Providers (CSPs). It detects potential deviations from security Server Level Agreements (A formal, negotiated document that defines in quantitative and qualitative terms the service being offered to a Cloud Service Client (CSC). For more information see [8, 17].) (SLAs) and triggers countermeasures to enforce security during application runtime.
PB Springer Verlag
SN 9783319571850
SN 0302-9743
YR 2017
FD 2017
LK https://hdl.handle.net/11556/2744
UL https://hdl.handle.net/11556/2744
LA eng
NO Carvallo , P , Cavalli , A R , Mallouli , W & Rios , E 2017 , Multi-cloud applications security monitoring . in M H A Au , K-K R Choo , K-C Li , A Castiglione & F Palmieri (eds) , Green, Pervasive, and Cloud Computing - 12th International Conference, GPC 2017, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 10232 LNCS , Springer Verlag , pp. 748-758 , 12th International Conference on Green, Pervasive and Cloud Computing, GPC 2017 , Cetara , Italy , 11/05/17 . https://doi.org/10.1007/978-3-319-57186-7_54
NO conference
NO Publisher Copyright: © Springer International Publishing AG 2017.
NO The project leading to this paper has received funding from the European Unions Horizon 2020 research and innovation program under grant agreement No. 644429.
DS TECNALIA Publications
RD 29 jul 2024