A Performance Study on Cryptographic Algorithms for IoT Devices

Eduardo Anaya; Jimil Patel; Prerak Shah; Vrushank Shah; Yuan Cheng

doi:10.1145/3374664.3379531

A Performance Study on Cryptographic Algorithms for IoT Devices

Eduardo Anaya, Jimil Patel, Prerak Shah, Vrushank Shah, Yuan Cheng

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

5 Citations (Scopus)

Abstract

Internet of Things (IoT) devices have grown in popularity over the past few years. These inter-connected devices collect and share data for automating industrial or household tasks. Despite its unprecedented growth, this paradigm currently faces many challenges that could hinder the deployment of such a system. These challenges include power, processing capabilities, and security, etc. Our project aims to explore these areas by studying an IoT network that secures data using common cryptographic algorithms, such as AES, ChaCha20, RSA, and Twofish. We measure computational time and power usage while running these cryptographic algorithms on IoT devices. Our findings show that while Twofish is the most power-efficient, Chacha20 is overall the most suitable one for IoT devices.

Original language	English
Title of host publication	CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy
Publisher	Association for Computing Machinery, Inc
Pages	159-161
Number of pages	3
ISBN (Electronic)	9781450371070
DOIs	https://doi.org/10.1145/3374664.3379531
Publication status	Published - 16 Mar 2020
Externally published	Yes
Event	10th ACM Conference on Data and Application Security and Privacy, CODASPY 2020 - New Orleans, United States Duration: 16 Mar 2020 → 18 Mar 2020

Publication series

Name	CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy

Conference

Conference	10th ACM Conference on Data and Application Security and Privacy, CODASPY 2020
Country/Territory	United States
City	New Orleans
Period	16/03/20 → 18/03/20

Keywords

cryptographic algorithms
internet of things
performance analysis

ASJC Scopus subject areas

Software
Computer Science Applications

Access to Document

10.1145/3374664.3379531

Cite this

Anaya, E., Patel, J., Shah, P., Shah, V., & Cheng, Y. (2020). A Performance Study on Cryptographic Algorithms for IoT Devices. In CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy (pp. 159-161). (CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy). Association for Computing Machinery, Inc. https://doi.org/10.1145/3374664.3379531

Anaya, Eduardo ; Patel, Jimil ; Shah, Prerak et al. / A Performance Study on Cryptographic Algorithms for IoT Devices. CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy. Association for Computing Machinery, Inc, 2020. pp. 159-161 (CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy).

@inproceedings{2553d8a8f49b4aa8b5d6b278c11e8185,

title = "A Performance Study on Cryptographic Algorithms for IoT Devices",

abstract = "Internet of Things (IoT) devices have grown in popularity over the past few years. These inter-connected devices collect and share data for automating industrial or household tasks. Despite its unprecedented growth, this paradigm currently faces many challenges that could hinder the deployment of such a system. These challenges include power, processing capabilities, and security, etc. Our project aims to explore these areas by studying an IoT network that secures data using common cryptographic algorithms, such as AES, ChaCha20, RSA, and Twofish. We measure computational time and power usage while running these cryptographic algorithms on IoT devices. Our findings show that while Twofish is the most power-efficient, Chacha20 is overall the most suitable one for IoT devices.",

keywords = "cryptographic algorithms, internet of things, performance analysis",

author = "Eduardo Anaya and Jimil Patel and Prerak Shah and Vrushank Shah and Yuan Cheng",

note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 10th ACM Conference on Data and Application Security and Privacy, CODASPY 2020 ; Conference date: 16-03-2020 Through 18-03-2020",

year = "2020",

month = mar,

day = "16",

doi = "10.1145/3374664.3379531",

language = "English",

series = "CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy",

publisher = "Association for Computing Machinery, Inc",

pages = "159--161",

booktitle = "CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy",

}

Anaya, E, Patel, J, Shah, P, Shah, V & Cheng, Y 2020, A Performance Study on Cryptographic Algorithms for IoT Devices. in CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy. CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy, Association for Computing Machinery, Inc, pp. 159-161, 10th ACM Conference on Data and Application Security and Privacy, CODASPY 2020, New Orleans, United States, 16/03/20. https://doi.org/10.1145/3374664.3379531

A Performance Study on Cryptographic Algorithms for IoT Devices. / Anaya, Eduardo; Patel, Jimil; Shah, Prerak et al.
CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy. Association for Computing Machinery, Inc, 2020. p. 159-161 (CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy).

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

TY - GEN

T1 - A Performance Study on Cryptographic Algorithms for IoT Devices

AU - Anaya, Eduardo

AU - Patel, Jimil

AU - Shah, Prerak

AU - Shah, Vrushank

AU - Cheng, Yuan

PY - 2020/3/16

Y1 - 2020/3/16

N2 - Internet of Things (IoT) devices have grown in popularity over the past few years. These inter-connected devices collect and share data for automating industrial or household tasks. Despite its unprecedented growth, this paradigm currently faces many challenges that could hinder the deployment of such a system. These challenges include power, processing capabilities, and security, etc. Our project aims to explore these areas by studying an IoT network that secures data using common cryptographic algorithms, such as AES, ChaCha20, RSA, and Twofish. We measure computational time and power usage while running these cryptographic algorithms on IoT devices. Our findings show that while Twofish is the most power-efficient, Chacha20 is overall the most suitable one for IoT devices.

AB - Internet of Things (IoT) devices have grown in popularity over the past few years. These inter-connected devices collect and share data for automating industrial or household tasks. Despite its unprecedented growth, this paradigm currently faces many challenges that could hinder the deployment of such a system. These challenges include power, processing capabilities, and security, etc. Our project aims to explore these areas by studying an IoT network that secures data using common cryptographic algorithms, such as AES, ChaCha20, RSA, and Twofish. We measure computational time and power usage while running these cryptographic algorithms on IoT devices. Our findings show that while Twofish is the most power-efficient, Chacha20 is overall the most suitable one for IoT devices.

KW - cryptographic algorithms

KW - internet of things

KW - performance analysis

UR - http://www.scopus.com/inward/record.url?scp=85083373695&partnerID=8YFLogxK

U2 - 10.1145/3374664.3379531

DO - 10.1145/3374664.3379531

M3 - Conference contribution

AN - SCOPUS:85083373695

T3 - CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy

SP - 159

EP - 161

BT - CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy

PB - Association for Computing Machinery, Inc

T2 - 10th ACM Conference on Data and Application Security and Privacy, CODASPY 2020

Y2 - 16 March 2020 through 18 March 2020

ER -

Anaya E, Patel J, Shah P, Shah V, Cheng Y. A Performance Study on Cryptographic Algorithms for IoT Devices. In CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy. Association for Computing Machinery, Inc. 2020. p. 159-161. (CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy). doi: 10.1145/3374664.3379531

A Performance Study on Cryptographic Algorithms for IoT Devices

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this