publication . Conference object . 2016

Misbehavior detection in the Internet of Things: A network-coding-aware statistical approach

Angelos Antonopoulos; Christos Verikoukis;
Open Access English
  • Published: 18 Jul 2016
  • Publisher: IEEE
Abstract
In the Internet of Things (IoT) context, the massive proliferation of wireless devices implies dense networks that require cooperation for the multihop transmission of the sensor data to central units. The altruistic user behavior and the isolation of malicious users are fundamental requirements for the proper operation of any cooperative network. However, the introduction of new communication techniques that improve the cooperative performance (e.g., network coding) hinders the application of traditional schemes on malicious users detection, which are mainly based on packet overhearing. In this paper, we introduce a non-parametric statistical approach, based on...
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Subjects
free text keywords: Security, misbehavior, packet forwarding, cooperative communications, RLNC, Wireless, business.industry, business, Computer security, computer.software_genre, computer, Computer network, Linear network coding, Probabilistic logic, Network packet, Internet of Things, Engineering
Funded by
EC| IoSense
Project
IoSense
Flexible FE/BE Sensor Pilot Line for the Internet of Everything
  • Funder: European Commission (EC)
  • Project Code: 692480
  • Funding stream: H2020 | ECSEL-IA
Validated by funder
,
EC| COPCAMS
Project
COPCAMS
COgnitive & Perceptive CAMeraS
  • Funder: European Commission (EC)
  • Project Code: 332913
  • Funding stream: FP7 | SP1 | SP1-JTI
Communities
Rural Digital Europe
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