Performance of checksums and CRCs over real data

Author:

Partridge Craig1,Hughes Jim2,Stone Jonathan3

Affiliation:

1. Bolt Beranek and Newman, Inc.

2. Network Systems Corporation

3. Stanford University

Abstract

Checksum and CRC algorithms have historically been studied under the assumption that the data fed to the algorithms was entirely random. This paper examines the behavior of checksums and CRCs over real data from various UNIX® file systems. We show that, when given real data in small to modest pieces (e.g., 48 bytes), all the checksum algorithms have skewed distributions. In one dramatic case, 0.01% of the check values appeared nearly 19% of the time. These results have implications for CRCs and checksums when applied to real data. They also cause a spectacular failure rate for the both TCP and Fletcher's checksums when trying to detect certain types of packet splices.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Software

Cited by 10 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. MLED: A Layered Architecture for Reducing Undetected Error Probability in File Transfer;IEEE Communications Letters;2021-11

2. Protocol over UART for Real-Time Applications;2021 IEEE 27th International Symposium for Design and Technology in Electronic Packaging (SIITME);2021-10-27

3. Preacher: Network Policy Checker for Adversarial Environments;IEEE/ACM Transactions on Networking;2021-10

4. Preacher: Network Policy Checker for Adversarial Environments;2019 38th Symposium on Reliable Distributed Systems (SRDS);2019-10

5. Protocols and Mechanisms to Recover Failed Packets in Wireless Networks: History and Evolution;IEEE Access;2016

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