A bio-inspired secure IPv6 communication protocol for Internet of Things

Kashif Saleem; Junaid Chaudhry; Mehmet A. Orgun; Jalal Al-Muhtadi

doi:10.1109/ICSensT.2017.8304428

A bio-inspired secure IPv6 communication protocol for Internet of Things

Kashif Saleem, Junaid Chaudhry, Mehmet A. Orgun, Jalal Al-Muhtadi

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

12 Citations (Scopus)

Abstract

The Internet of Things (IoT) with a direct internet connectivity for global access is one of the promising technologies for future communication systems. The Internet Protocol version 6 (IPv6) based routing protocols that are currently available for IoT are prone to various vulnerabilities. Hence, the Personally Identifiable Information (PII) stored and/or communicated in IoT can easily be compromised. In this paper, we propose a Bio-inspired Secure IPv6 Communication Protocol (BSCoP) for IoT. We have enhanced the IPv6 Routing Protocol for Low-Power and Lossy Networks (RFC 6550) by incorporating a classification algorithm inspired by the Artificial Immune System (AIS). The AIS-based algorithm works by detecting the routing behavior of the communicating nodes in the local routing tables and classify the misbehaving nodes as non-self. With the help of the classification algorithm, we can detect excessive broadcasts and isolate them to improve power and transmission rates of the transmitted packets in a cluster of IoT nodes. The detailed experimental results show the promising performance of the proposed protocol while offering the security desired in cyberspace in terms of energy consumption and data packet rate.

Original language	English
Title of host publication	2017 11th International Conference on Sensing Technology, ICST 2017
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-6
Number of pages	6
Volume	2017-December
ISBN (Electronic)	9781509065264
ISBN (Print)	9781509065271
DOIs	https://doi.org/10.1109/ICSensT.2017.8304428
Publication status	Published - 2017
Event	11th International Conference on Sensing Technology, ICST 2017 - Sydney, Australia Duration: 4 Dec 2017 → 6 Dec 2017

Conference

Conference	11th International Conference on Sensing Technology, ICST 2017
Country/Territory	Australia
City	Sydney
Period	4/12/17 → 6/12/17

Keywords

Artificial Immune System
Intelligence
Internet of Things
Protocol
Routing
Security
Vulnerabiltiy

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10.1109/ICSensT.2017.8304428

Cite this

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title = "A bio-inspired secure IPv6 communication protocol for Internet of Things",

abstract = "The Internet of Things (IoT) with a direct internet connectivity for global access is one of the promising technologies for future communication systems. The Internet Protocol version 6 (IPv6) based routing protocols that are currently available for IoT are prone to various vulnerabilities. Hence, the Personally Identifiable Information (PII) stored and/or communicated in IoT can easily be compromised. In this paper, we propose a Bio-inspired Secure IPv6 Communication Protocol (BSCoP) for IoT. We have enhanced the IPv6 Routing Protocol for Low-Power and Lossy Networks (RFC 6550) by incorporating a classification algorithm inspired by the Artificial Immune System (AIS). The AIS-based algorithm works by detecting the routing behavior of the communicating nodes in the local routing tables and classify the misbehaving nodes as non-self. With the help of the classification algorithm, we can detect excessive broadcasts and isolate them to improve power and transmission rates of the transmitted packets in a cluster of IoT nodes. The detailed experimental results show the promising performance of the proposed protocol while offering the security desired in cyberspace in terms of energy consumption and data packet rate.",

keywords = "Artificial Immune System, Intelligence, Internet of Things, Protocol, Routing, Security, Vulnerabiltiy",

author = "Kashif Saleem and Junaid Chaudhry and Orgun, {Mehmet A.} and Jalal Al-Muhtadi",

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Saleem, K, Chaudhry, J, Orgun, MA & Al-Muhtadi, J 2017, A bio-inspired secure IPv6 communication protocol for Internet of Things. in 2017 11th International Conference on Sensing Technology, ICST 2017. vol. 2017-December, 8304428, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-6, 11th International Conference on Sensing Technology, ICST 2017, Sydney, Australia, 4/12/17. https://doi.org/10.1109/ICSensT.2017.8304428

A bio-inspired secure IPv6 communication protocol for Internet of Things. / Saleem, Kashif; Chaudhry, Junaid; Orgun, Mehmet A. et al.
2017 11th International Conference on Sensing Technology, ICST 2017. Vol. 2017-December Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 1-6 8304428.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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N2 - The Internet of Things (IoT) with a direct internet connectivity for global access is one of the promising technologies for future communication systems. The Internet Protocol version 6 (IPv6) based routing protocols that are currently available for IoT are prone to various vulnerabilities. Hence, the Personally Identifiable Information (PII) stored and/or communicated in IoT can easily be compromised. In this paper, we propose a Bio-inspired Secure IPv6 Communication Protocol (BSCoP) for IoT. We have enhanced the IPv6 Routing Protocol for Low-Power and Lossy Networks (RFC 6550) by incorporating a classification algorithm inspired by the Artificial Immune System (AIS). The AIS-based algorithm works by detecting the routing behavior of the communicating nodes in the local routing tables and classify the misbehaving nodes as non-self. With the help of the classification algorithm, we can detect excessive broadcasts and isolate them to improve power and transmission rates of the transmitted packets in a cluster of IoT nodes. The detailed experimental results show the promising performance of the proposed protocol while offering the security desired in cyberspace in terms of energy consumption and data packet rate.

AB - The Internet of Things (IoT) with a direct internet connectivity for global access is one of the promising technologies for future communication systems. The Internet Protocol version 6 (IPv6) based routing protocols that are currently available for IoT are prone to various vulnerabilities. Hence, the Personally Identifiable Information (PII) stored and/or communicated in IoT can easily be compromised. In this paper, we propose a Bio-inspired Secure IPv6 Communication Protocol (BSCoP) for IoT. We have enhanced the IPv6 Routing Protocol for Low-Power and Lossy Networks (RFC 6550) by incorporating a classification algorithm inspired by the Artificial Immune System (AIS). The AIS-based algorithm works by detecting the routing behavior of the communicating nodes in the local routing tables and classify the misbehaving nodes as non-self. With the help of the classification algorithm, we can detect excessive broadcasts and isolate them to improve power and transmission rates of the transmitted packets in a cluster of IoT nodes. The detailed experimental results show the promising performance of the proposed protocol while offering the security desired in cyberspace in terms of energy consumption and data packet rate.

KW - Artificial Immune System

KW - Intelligence

KW - Internet of Things

KW - Protocol

KW - Routing

KW - Security

KW - Vulnerabiltiy

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PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 11th International Conference on Sensing Technology, ICST 2017

Y2 - 4 December 2017 through 6 December 2017

ER -

A bio-inspired secure IPv6 communication protocol for Internet of Things

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Keywords

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