Autonomic and integrated management for proactive cyber security (AIM-PSC)

Fabian De La Peña Montero, Salim A Hariri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The complexity, multiplicity, and impact of cyber-attacks have been increasing at an alarming rate despite the significant research and development investment in cyber security products and tools. The current techniques to detect and protect cyber infrastructures from these smart and sophisticated attacks are mainly characterized as being ad hoc, manual intensive, and too slow. We present in this paper AIM-PSC that is developed jointly by researchers at AVIRTEK and The University of Arizona Center for Cloud and Autonomic Computing that is inspired by biological systems, which can efficiently handle complexity, dynamism and uncertainty. In AIM-PSC system, an online monitoring and multi-level analysis are used to analyze the anomalous behaviors of networks, software systems and applications. By combining the results of different types of analysis using a statistical decision fusion approach we can accurately detect any types of cyber-attacks with high detection and low false alarm rates and proactively respond with corrective actions to mitigate their impacts and stop their propagation.

Original languageEnglish (US)
Title of host publicationUCC 2017 Companion - Companion Proceedings of the 10th International Conference on Utility and Cloud Computing
PublisherAssociation for Computing Machinery, Inc
Pages107-112
Number of pages6
ISBN (Electronic)9781450351959
DOIs
StatePublished - Dec 5 2017
Event10th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2017 - Austin, United States
Duration: Dec 5 2017Dec 8 2017

Other

Other10th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2017
CountryUnited States
CityAustin
Period12/5/1712/8/17

Fingerprint

Biological systems
Security systems
Fusion reactions
Monitoring
Uncertainty

Keywords

  • Automation
  • Behavior Analysis
  • Cyber Security
  • Data Analytics
  • Information Technology
  • Machine Learning
  • Network Security

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture

Cite this

De La Peña Montero, F., & Hariri, S. A. (2017). Autonomic and integrated management for proactive cyber security (AIM-PSC). In UCC 2017 Companion - Companion Proceedings of the 10th International Conference on Utility and Cloud Computing (pp. 107-112). Association for Computing Machinery, Inc. https://doi.org/10.1145/3147234.3148137

Autonomic and integrated management for proactive cyber security (AIM-PSC). / De La Peña Montero, Fabian; Hariri, Salim A.

UCC 2017 Companion - Companion Proceedings of the 10th International Conference on Utility and Cloud Computing. Association for Computing Machinery, Inc, 2017. p. 107-112.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

De La Peña Montero, F & Hariri, SA 2017, Autonomic and integrated management for proactive cyber security (AIM-PSC). in UCC 2017 Companion - Companion Proceedings of the 10th International Conference on Utility and Cloud Computing. Association for Computing Machinery, Inc, pp. 107-112, 10th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2017, Austin, United States, 12/5/17. https://doi.org/10.1145/3147234.3148137
De La Peña Montero F, Hariri SA. Autonomic and integrated management for proactive cyber security (AIM-PSC). In UCC 2017 Companion - Companion Proceedings of the 10th International Conference on Utility and Cloud Computing. Association for Computing Machinery, Inc. 2017. p. 107-112 https://doi.org/10.1145/3147234.3148137
De La Peña Montero, Fabian ; Hariri, Salim A. / Autonomic and integrated management for proactive cyber security (AIM-PSC). UCC 2017 Companion - Companion Proceedings of the 10th International Conference on Utility and Cloud Computing. Association for Computing Machinery, Inc, 2017. pp. 107-112
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