DYSSS: A Dynamic and Context-Aware Security System for Shared Sensor Networks

Author:

de Farias Claudio M.1,Pirmez Luci1ORCID,Carmo Luiz F. R. C.12,Boccardo Davidson2,Delicato Flávia C.1,dos Santos Igor L.1,Pinheiro Renato1,Costa Rafael O.1

Affiliation:

1. Programa de Pós-Graduação em Informática, Instituto Tércio Pacitti de Aplicações e Pesquisas Computacionais, Instituto de Matemática, Universidade Federal do Rio de Janeiro, 21941-901 Rio de Janeiro, RJ, Brazil

2. Instituto Nacional de Metrologia, Qualidade e Tecnologia, 25250-020 Duque de Caxias, RJ, Brazil

Abstract

In recent years, we have witnessed the emergence of Shared Sensor Networks (SSNs) as a core component of cyber-physical systems for diverse applications. As Wireless Sensor and Actuator Networks (WSANs) design starts shifting from application-specific platforms to shared system infrastructures, a pressing research challenge is security. In scenarios involving unprotected hostile outdoor areas, SSNs are prone to different types of attacks that can compromise reliability, integrity, and availability of the sensor data traffic and sensor lifetime as well. In this work we propose a Dynamic Security System to be applied in the shared sensor network context. Its basic feature is the nodes neighborhood monitoring and collaboration (through the use of the Byzantine algorithm) to identify an attack and enhance security. The proposed security system is dynamic since it is able to manage the availability, integrity, and confidentiality of multiple applications according to the current execution context. It is also resilient, since it is able to support the continuous network operation even in the presence of malicious or faulty nodes. Its resilience is achieved for the capacity of gathering information from several nodes, thus inferring the countermeasures using context information.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Density-Based Decision-Making Data Fusion Method for Multiapplication Wireless Sensor Networks;2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2019-08

2. Density Based Multisensor Data Fusion for Multiapplication Wireless Sensor Networks;2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech);2018-08

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