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BioRAC: biologically inspired resilient autonomic cloud

Published: 12 October 2011 Publication History

Abstract

Our modern cyber-powered society will provide pervasive information services that will touch all aspects of our life and economy. However, we are experiencing grand challenges to secure and protect our cyberspace resources and services. The recent embrace of cloud computing due to their performance and cost considerations will further exacerbate the security problem. In cloud computing, organizations relinquish direct control of many security aspects to the service providers such as trust, privacy preservation, identity management, data and software isolation, and service availability. Traditional security techniques will not work well in a cloud environment due to many challenges related to the monoculture paradigm, the rapid and dynamic changes, the use of social networking software tools, and use of mobile devices. In this paper, we present the design of biorac: biologically-inspired resilient autonomic cloud that employs biologically inspired techniques and multi-level tunable redundancy techniques to increase attack and exploitation resilience in cloud computing. We briefly describe how biorac can tolerate and minimize the impact of novel cyber attacks.

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CSIIRW '11: Proceedings of the Seventh Annual Workshop on Cyber Security and Information Intelligence Research
October 2011
18 pages
ISBN:9781450309455
DOI:10.1145/2179298
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Eurosis: Eurosis
  • Oak Ridge National Laboratory
  • University of Tennessee: University of Tennessee

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 October 2011

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CSIIRW '11
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  • Eurosis
  • University of Tennessee

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  • (2021)Cyber Resilience: by Design or by Intervention?Computer10.1109/MC.2021.308283654:8(112-117)Online publication date: Aug-2021
  • (2020)On Resilience in Cloud ComputingACM Computing Surveys10.1145/338892253:3(1-36)Online publication date: 28-May-2020
  • (2019)Bioinspired Multiagent Embryonic Architecture for Resilient Edge NetworksIEEE Transactions on Industrial Informatics10.1109/TII.2019.291609415:12(6344-6353)Online publication date: Dec-2019
  • (2017)Trends towards Bio-Inspired Security Countermeasures for Cloud Environments2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W)10.1109/FAS-W.2017.170(341-347)Online publication date: Sep-2017
  • (2017)Autonomic Cross-Layer Management of Cloud Systems2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W)10.1109/FAS-W.2017.141(160-165)Online publication date: Sep-2017
  • (2017)Perspectives on Resilience in Cloud Computing: Review and Trends2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)10.1109/AICCSA.2017.221(696-703)Online publication date: Oct-2017
  • (2017)Survivability Analogy for Cloud Computing2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)10.1109/AICCSA.2017.219(1056-1062)Online publication date: Oct-2017
  • (2017)A Design Methodology for Developing Resilient Cloud ServicesHandbook of System Safety and Security10.1016/B978-0-12-803773-7.00009-7(177-197)Online publication date: 2017
  • (2016)Trusted, Heterogeneous, and Autonomic Mobile CloudSecure System Design and Trustable Computing10.1007/978-3-319-14971-4_14(439-455)Online publication date: 2016
  • (2013)Autonomic resource provisioning in cloud systems with availability goalsProceedings of the 2013 ACM Cloud and Autonomic Computing Conference10.1145/2494621.2494623(1-10)Online publication date: 9-Aug-2013
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