Authors:
Hassan Noura
;
Steven Martin
and
Khaldoun Al Agha
Affiliation:
Université Paris-Sud- CNRS, France
Keyword(s):
Secure Network Coding, Data Confidentiality, Key Dependent, Flexible and Invertible Diffusion Matrix.
Related
Ontology
Subjects/Areas/Topics:
Data and Application Security and Privacy
;
Data Protection
;
Information and Systems Security
;
Network Security
;
Wireless Network Security
Abstract:
Recently, several encryption schemes have been presented to Random Linear Network Coding (RLNC). The recent proposed lightweight security system for Network Coding is based upon protecting the Global Encoding Vectors (GEV) and using other vector to ensure the encoding process of RLNC at intermediate nodes. However, the current lightweight security scheme, possess several practical challenges to be deployed in real application. Furthermore, achieving a high security level results on a high computational complexity and adds some communication overhead.
In this paper, a new scheme is defined that supports some properties to overcome the drawbacks of the lightweight Security scheme, and can be used for RLNC real-time data exchange. First, the cryptographic primitive (AES in CTR mode) is replaced by another approach that is based on the utilization of a new flexible key-dependent invertible matrix (dynamic diffusion layer). Then, we show that this approach reduces the size of communicati
on overhead of GEV from $2\times h$ to $h$ elements. In addition to that, we also demonstrate that besides the information confidentially, both the packet integrity and the source authentication are attained with minimum computational complexity and memory overhead.
Indeed, simulation tests and results of this scheme yield to a conclusion that our new proposed scheme has sufficient security strength and good performance characteristics that permits to ensure an efficient and simple implementation. Thus, facilitate the integration of this system in many applications that treat security as a principal requirement.
(More)