About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Bio-inspired Information and Communication Technologies. 11th EAI International Conference, BICT 2019, Pittsburgh, PA, USA, March 13–14, 2019, Proceedings

Research Article

Cyber Regulatory Networks: Towards a Bio-inspired Auto-resilient Framework for Cyber-Defense

Download(Requires a free EAI acccount)
232 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-24202-2_12,
        author={Usman Rauf and Mujahid Mohsin and Wojciech Mazurczyk},
        title={Cyber Regulatory Networks: Towards a Bio-inspired Auto-resilient Framework for Cyber-Defense},
        proceedings={Bio-inspired Information and Communication Technologies. 11th EAI International Conference, BICT 2019, Pittsburgh, PA, USA, March 13--14, 2019, Proceedings},
        proceedings_a={BICT},
        year={2019},
        month={7},
        keywords={},
        doi={10.1007/978-3-030-24202-2_12}
    }
    
  • Usman Rauf
    Mujahid Mohsin
    Wojciech Mazurczyk
    Year: 2019
    Cyber Regulatory Networks: Towards a Bio-inspired Auto-resilient Framework for Cyber-Defense
    BICT
    Springer
    DOI: 10.1007/978-3-030-24202-2_12
Usman Rauf1,*, Mujahid Mohsin2,*, Wojciech Mazurczyk3,*
  • 1: University of North Carolina at Charlotte
  • 2: National University of Sciences and Technology
  • 3: Warsaw University of Technology
*Contact email: urauf@uncc.edu, mmohsin@cae.nust.edu.pk, wmazurczyk@tele.pw.edu.pl

Abstract

After decades of deploying cyber-security systems, it has become a well-known fact that the existing cyber-security architecture has numerous inherent limitations that make the maintenance of the current network security devices unscalable and provide the adversary with asymmetric advantages. These limitations include: (1) difficulty in obtaining the global network picture due to lack of mutual interactions among heterogeneous network devices, (2) poor device self-awareness in current architectures, (3) error-prone and time consuming manual configuration which is not effective in real-time attack mitigation, (4) inability to diagnose misconfiguration and conflict resolution due to multi-party management of security infrastructure. In this paper, as an initial step to deal with these issues, we present a novel bio-inspired auto-resilient architecture. The main contribution of this paper includes: (1) investigation of laws governing the dynamics of correct feedback control in Biological Regulatory Networks (BRNs), (2) studying their applicability for synthesizing correct models for bio-inspired communication networks, i.e. Firewall Regulatory Networks (FRNs), (3) verification of the formal models of real network scenarios, to prove the correctness of the proposed approach through model checking techniques.

Published
2019-07-24
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-24202-2_12
Copyright © 2019–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL