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A Secure and Efficient ECC-Based Scheme for Edge Computing and Internet of Things.

Hisham AlMajed1, Ahmad AlMogren1

  • 1Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11633, Saudi Arabia.

Sensors (Basel, Switzerland)
|November 3, 2020
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Summary
This summary is machine-generated.

This study enhances elliptic curve cryptography (ECC) mapping for secure Internet of Things (IoT) data. The improved scheme offers robust authenticated encryption, protecting against common cyberattacks.

Keywords:
asymmetric cryptographyauthenticated encryptionchosen cipher text attackchosen plain text attackedge computingelliptic curve cryptographyencryptionindustrial internet of thingsinternet of things

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Area of Science:

  • Cryptography and Network Security
  • Internet of Things (IoT) Security

Background:

  • The proliferation of Internet of Things (IoT) devices necessitates robust security measures for data confidentiality.
  • Asymmetric cryptography, while common, presents computational and space challenges for resource-constrained IoT environments.
  • Elliptic Curve Cryptography (ECC) offers a lightweight alternative with smaller key sizes, enhancing performance and reducing power consumption in IoT and Wireless Sensor Network (WSN) devices.

Purpose of the Study:

  • To propose and validate a novel scheme for authenticated encryption (AE) in IoT systems.
  • To enhance the mapping phase of plaintext to elliptic curves to bolster resistance against sophisticated encryption attacks.
  • To evaluate the proposed scheme's security attributes and performance against existing methods.

Main Methods:

  • Development of an enhanced mapping phase for plaintext to elliptic curves within an ECC framework.
  • Implementation of an authenticated encryption (AE) scheme leveraging the improved mapping.
  • Rigorous security analysis against attacks like Chosen Plaintext Attack (CPA) and Chosen Ciphertext Attack (CCA).
  • Comparative performance and security evaluation against other established ECC schemes.

Main Results:

  • The proposed scheme effectively provides authenticated encryption, significantly improving data security for IoT communications.
  • Enhanced resistance against common cryptographic attacks, including CPA and CCA, was demonstrated.
  • The scheme exhibits efficient performance characteristics suitable for the demanding requirements of IoT, Industrial IoT, and smart urbanization.

Conclusions:

  • The enhanced ECC mapping scheme offers a secure and efficient solution for protecting data in IoT environments.
  • The proposed method addresses key security concerns, making it suitable for widespread adoption in connected systems.
  • This research contributes to the advancement of secure communication protocols for the rapidly expanding IoT landscape.