The Application of Human and Social Behavioral-Inspired Security Models for Self-aware Collaborative Cognitive Radio Networks

Jack Burbank; William Kasch

3rd International ICST Workshop on Trusted Collaboration

Research Article

The Application of Human and Social Behavioral-Inspired Security Models for Self-aware Collaborative Cognitive Radio Networks

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@INPROCEEDINGS{10.1007/978-3-642-03354-4_36,
    author={Jack Burbank and William Kasch},
    title={The Application of Human and Social Behavioral-Inspired Security Models for Self-aware Collaborative Cognitive Radio Networks},
    proceedings={3rd International ICST Workshop on Trusted Collaboration},
    proceedings_a={TRUSTCOL},
    year={2012},
    month={5},
    keywords={Trust model respect models collaborative networking cognitive networking},
    doi={10.1007/978-3-642-03354-4_36}
}

Jack Burbank
William Kasch
Year: 2012
The Application of Human and Social Behavioral-Inspired Security Models for Self-aware Collaborative Cognitive Radio Networks
TRUSTCOL
Springer
DOI: 10.1007/978-3-642-03354-4_36

Jack Burbank¹^,*, William Kasch¹^,*

1: The Johns Hopkins University Applied Physics Laboratory

*Contact email: Jack.Burbank@jhuapl.edu, William.Kasch@jhuapl.edu

Abstract

This paper discusses the introduction of anthropology and sociology-inspired approaches to providing security in collaborative self-aware cognitive radio networks. This includes the introduction of not only trust models, but also respect models and ‘intuition’ models. This paper discusses numerous potential benefits from this type of approach, including benefits to algorithm security, compromise recovery, protection from the Byzantine threat, and policy enforcement.

Keywords: Trust model respect models collaborative networking cognitive networking

Published: 2012-05-11

: http://dx.doi.org/10.1007/978-3-642-03354-4_36