IoT-Based Aggregate Smart Grid Energy Data Extraction using Image Recognition and Partial Homomorphic Encryption
12/13/2021
IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)
IEEE Xplore
Abstract

0 The high expense of upgrading traditional analog and digital smart grid meters with network sensor devices is a major implementation cost for collecting energy consumption statistics. A cost-effective solution the information extraction from meter images to use systematic IoT-Based periodic imaging methodology instead manual reading techniques. computations on secrecy extracted are enabled by additive homomorphic nature encryption in Paillier's cryptosystem. encrypted data then, retrieved via IoT device image installed at industrial, commercial residential subscriber metres. This power ciphertext subjected decentralized progressive aggregation as it en route online end user level <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$n$</tex> semi-trusted final collector decryption through numerous minimum height spanning trees (MHST) constructed xmlns:xlink="http://www.w3.org/1999/xlink">$n-1$</tex> geographic levels. proposed scheme's robustness replay, false injection (FDI) attacks integrity ensured pairing based Boneh-Lynn-Shacham (BLS) short signature, time stamping SHA-256 function. practical technique, therefore, facilitates secure distributed various sorts users hierarchical fashion an efficient manner.

Keywords
Cryptography and Data SecurityCryptographic Implementations and SecurityChaos-based Image/Signal EncryptionArtificial IntelligenceArtificial IntelligenceComputer Vision and Pattern Recognition
Co-authors