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Security, Cryptography and Privacy-Preserving Computation Architectures for Wireless Sensors Networks and Communications

This special issue belongs to the section “Intelligent Sensors“.

Special Issue Information

Dear Colleagues,

Data communication over public channels (especially on the wireless sensor networks and communications) and data analysis at the untrusted servers have increased the risk of leaking sensitive information. To tackle this challenge, advanced security and cryptography technologies provide strong solutions to protect the security of sensitive data. Particularly, cryptographic protocols ensure the data integrity at storage while private information could be protected when inferring cloud-side services by using homorphic encryption (HE) technique. However, due to the rapid innovation of quantum computer, advanced cryptosystems (often called post-quantum cryptography protocols) have been required to be robust and effective in quantum era. Especially, HE schemes, which can support direct and heavy computations on encrypted data, need efficient architecture designs for realizing privacy-preserving applications. Therefore, the effectiveness in hardware accelerator designs of cryptography primitives are greatly desirable for security in wireless sensor networks and communications

The main purpose of this special issues will focus on seeking efficient security and cryptography architectures design that realizes data security applications for wireless sensor networks and communication systems. The topics of interest include, but are not limited to the following:

  • Design and analysis of cryptographic priomitives and protocols
  • Hardware security primitives
  • Hardware attack and defence
  • Architecture security and System security
  • Architecture and implementation of public-key encryption (PKE) schemes
  • Hardware accelerators for post-quantum cryptography (PQC)
  • Homomorphic encryption (HE) hardware architectures
  • Hardware architecture for privacy-preserving applications
  • HE-based machine learning applications
  • HE for internet of thing (IoT) applications
  • Secure implementation and optimization in hardware or software
  • Applications of lattice-based cryptosystems

Prof. Dr. Hanho Lee
Guest Editor

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Keywords

  • security for wireless sensor networks
  • cryptography
  • public-key encryption
  • post-quantum cryptography (PQC)
  • lattice-based cryptosystems
  • homomorphic encryption (HE)
  • privacy-preserving computation
  • HE for machine learning
  • HE for Internet of Thing

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Sensors - ISSN 1424-8220