CRAug 2, 2015

Comparison and evaluation of digital signature schemes employed in ndn network

arXiv:1508.00184v157 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the challenge of securing data in NDN networks for users with resource-constrained devices, but it is incremental as it compares existing algorithms without introducing new methods.

The research tackled the problem of selecting an optimal digital signature scheme for Named Data Networking (NDN) to ensure data integrity and security while minimizing computational overhead on diverse devices like smartphones and sensors. The result was a comparison of RSA and ECDSA algorithms, focusing on their efficiency in signature generation and verification times to avoid system exhaustion.

Named Data networking ensure data integrity so that every important data has to be signed by its owner in order to send it safely inside the network. Similarly, in NDN we have to assure that none could open the data except authorized users. Since only the endpoints have the right to sign the data or check its validity during the verification process, we have considered that the data could be requested from various types of devices used by different people, these devices could be anything like a smartphone, PC, sensor node with a different CPU descriptions, parameters, and memory sizes, however their ability to check the high traffic of a data during the key generation and verification period is definitely a hard task and it could exhaust the systems with low computational resources. RSA and ECDSA as digital signature algorithms have proven their efficiency against cyber attacks, they are characterized by their speed to encrypt and decrypt data, in addition to their competence at checking the data integrity. The main purpose of our research was to find the optimal algorithm that avoids the systems overhead and offers the best time during the signature scheme

Foundations

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