Attacks in the resource-as-a-service (RaaS) cloud context

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9581, Issue , 2016, Pages 10-18

  Movsowitz, Danielle ^a   Ben Yehuda, Orna Agmon ^a   Schuster, Assaf ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

Cloud computing; Privacy; RaaS; Security

Indexed keywords

CLOUD COMPUTING; DATA PRIVACY; DISTRIBUTED COMPUTER SYSTEMS; INTERNET;

AUTOMATIC AGENTS; ECONOMIC DECISIONS; RAAS; REAL TIME; SECURITY;

INFRASTRUCTURE AS A SERVICE (IAAS);

EID: 84955272303     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-28034-9_2     Document Type: Conference Paper

References (28)

1. Agmon Ben-Yehuda, O., Ben-Yehuda, M., Schuster, A., Tsafrir, D.: The resource-as-a-service (RaaS) cloud. In: USENIX Conference on Hot Topics in Cloud Computing (HotCloud) (2012)
2. Agmon Ben-Yehuda, O., Ben-Yehuda, M., Schuster, A., Tsafrir, D.: Deconstructing Amazon EC2 spot instance pricing. ACM Trans. Econ. Comput. 1(3), 16:1-16:20 (2013)
3. Agmon Ben-Yehuda, O., Ben-Yehuda, M., Schuster, A., Tsafrir, D.: The rise of RaaS: the resource-as-a-service cloud. Commun. ACM 57(7), 76-84 (2014)
4. Agmon Ben-Yehuda, O., Posener, E., Ben-Yehuda, M., Schuster, A., Mu’alem, A.: Ginseng: market-driven memory allocation. ACM SIGPLAN Not. 49(7), 41-52 (2014)
5. Caron, E., Cornabas, J.R.: Improving users’ isolation in IaaS: virtual machine placement with security constraints. In: IEEE International Conference on Cloud Computing (CLOUD), pp 64-71 (2014)
6. Clarke, E.H.: Multipart pricing of public goods. Public Choice 11(1), 17-33 (1971)
7. Dolgikh, A., Birnbaum, Z., Chen, Y., Skormin, V.: Behavioral modeling for suspicious process detection in cloud computing environments. In: IEEE International Conference on Mobile Data Management (MDM), vol. 2, pp 177-181 (2013)
8. Friedman, A., Schuster, A.: Data mining with differential privacy. In: ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp 493-502 (2010)
9. Friedman, A., Sharfman, I., Keren, D., Schuster, A.: Privacy-preserving distributed stream monitoring. In: Annual Network and Distributed System Security Symposium (NDSS) (2014)
10. Friedman, A., Wolff, R., Schuster, A.: Providing k-anonymity in data mining. VLDB J. 17(4), 789-804 (2008)
11. Gilburd, B., Schuster, A., Wolff, R.: k-ttp: a new privacy model for large-scale distributed environments. In: ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp 563-568 (2004)
12. Gilburd, B., Schuster, A., Wolff, R.: Privacy-preserving data mining on data grids in the presence of malicious participants. In: International Symposium on HighPerformance Distributed Computing (HPDC), pp 225-234 (2004)
13. Groves, T.: Incentives in teams. Econometrica 41(4), 617-631 (1973)
14. Hegeman, J.: Facebook’s ad auction. Talk at Ad Auctions Workshop, May 2010
15. Kelly, F.: Charging and rate control for elastic traffic. Eur. Trans. Telecommun. 8, 33-37 (1997)
16. Lazar, A., Semret, N.: Design and analysis of the progressive second price auction for network bandwidth sharing. Technical report, Columbia University (1998). http://econwpa.repec.org/eps/game/papers/9809/9809001.pdf
17. Lucier, B., Paes Leme, R., Tardos, E.: On revenue in the generalized second price auction. In: International Conference on World Wide Web (WWW) (2012)
18. Maillé, P., Tuffin, B.: Multi-bid auctions for bandwidth allocation in communication networks. In: IEEE INFOCOM (2004)
19. Posener, E.: Dynamic memory allocation in cloud computers using progressive second price auction. Master’s thesis, Technion (2013)
20. Ristenpart, T., Tromer, E., Shacham, H., Savage, S.: Hey, you, get off of my cloud: exploring information leakage in third-party compute clouds. In: ACM Conference on Computer and Communications Security (SIGSAC), pp 199-212 (2009)
21. Schuster, A., Wolff, R., Gilburd, B.: Privacy-preserving association rule mining in large-scale distributed systems. In: Cluster, Cloud and Grid Computing (CCGrid), pp 411-418 (2004)
22. Shi, J., Song, X., Chen, H., Zang, B.: Limiting cache-based side-channel in multitenant cloud using dynamic page coloring. In: IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), pp 194-199 (2011)
23. Varadarajan, V., Kooburat, T., Farley, B., Ristenpart, T., Swift, M.M.: Resource-freeing attacks: improve your cloud performance (at your neighbor’s expense). In: ACM Conference on Computer and Communications Security (SIGSAC), pp 281-292 (2012)
24. Varadarajan, V., Ristenpart, T., Swift, M.: Scheduler-based defenses against cross-vm side-channels. In: Usenix Security (2014)
25. Vickrey, W.: Counterspeculation, auctions, and competitive sealed tenders. J. Finance 16(1), 8-37 (1961)
26. Waldspurger, C.A.: Memory resource management in Vmware ESX server. USENIX Symp. Operating Syst. Des. Implementation (OSDI) 36, 181-194 (2002)
27. Younis, Y., Kifayat, K., Merabti, M.: Cache side-channel attacks in cloud computing. In: International Conference on Cloud Security Management (ICCSM), p 138. Academic Conferences Limited, (2014)
28. Zhang, Y., Juels, A., Oprea, A., Reiter, M.K.: Homealone: co-residency detection in the cloud via side-channel analysis. In: IEEE Symposium on Security and Privacy (SP), pp 313-328. IEEE (2011)