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Enhanced blockchain based key management scheme against key exposure attack

Authors:

Fenghua LiAuthors Info & Claims

AIIPCC '19: Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing

Article No.: 68, Pages 1 - 6

https://doi.org/10.1145/3371425.3371437

Published: 19 December 2019 Publication History

Abstract

The data collected by IoT devices is of great value, which makes people urgently need a secure device key management strategy to protect their data. Existing works introduce the blockchain technology to transfer the responsibility of key management from the trusted center in the traditional key management strategy to the devices, thus eliminating the trust crisis caused by excessive dependence on third parties. However, the lightweight implementation of IoT devices limits the ability to resist side channel attacks, causing the private key to be exposed and subject to masquerading attacks. Accordingly, we strengthen the original blockchain based key management scheme to defend against key exposure attack. On the one hand, we introduce two hash functions to bind transactions in the blockchain to legitimate users. On the other hand, we design a secure key exchange protocol for identifying and exchanging access keys between legitimate users. Security analysis and performance show that the proposed scheme improves the robustness of the network with small storage and communication overhead increments.

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Cited By

Wang THua HWei ZCao J(2022)Challenges of blockchain in new generation energy systems and future outlooksInternational Journal of Electrical Power & Energy Systems10.1016/j.ijepes.2021.107499135(107499)Online publication date: Feb-2022
https://doi.org/10.1016/j.ijepes.2021.107499

Index Terms

Enhanced blockchain based key management scheme against key exposure attack
1. Security and privacy
  1. Cryptography
    1. Key management

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cover image ACM Other conferences

AIIPCC '19: Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing

December 2019

464 pages

ISBN:9781450376334

DOI:10.1145/3371425

Conference Chairs:
João Manuel R. S. Tavares,
Zeshui Xu

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 December 2019

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National Key Research Program of China

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AIIPCC '19

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ASciE

AIIPCC '19: 2019 International Conference on Artificial Intelligence, Information Processing and Cloud Computing

December 19 - 21, 2019

Sanya, China

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AIIPCC '19 Paper Acceptance Rate 78 of 211 submissions, 37%;

Overall Acceptance Rate 78 of 211 submissions, 37%

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Cited By

Wang THua HWei ZCao J(2022)Challenges of blockchain in new generation energy systems and future outlooksInternational Journal of Electrical Power & Energy Systems10.1016/j.ijepes.2021.107499135(107499)Online publication date: Feb-2022
https://doi.org/10.1016/j.ijepes.2021.107499

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