SHAAES BASED ON CHAINING BLOCK CODE AND GALOIS COUNTER MODE ENCRYPTION MODES FOR PRIVACY OF SMART FARMING SYSTEMS

Abstract

In smart farming, IoT plays a dominant role in diverse data generation and transmission in applications such as irrigation estimation, soil and environmental monitoring, food supply chain, and field monitoring. The current architecture of IoT is mainly centralized and single-point controlled; thereby opening up privacy and security lapses. Several approaches have favoured advanced encryption of data for the purpose of preserving privacy during transmission and storage. The top challenges sparingly reported by previous works include the security of physical and logical components of IoT systems; software and hardware interoperability; energy requirements; processing/storage capacity, and network architectures/scalability. This paper performs a comparative analysis of encryption modes of Chaining Block Code (CBC) and Galois Counter Mode (GCM) with SHA1-256 and AES246 (SHAAES) algorithms in preserving the privacy of IoT data. It was found that advanced cryptographic schemes interleaved with hardening schemes (such as CBC and GCM) offer great benefits. The outcomes revealed that the SHAAES scheme based on CBC was better in for speed of encryption (8.34%) and decryption (43.42%); storage consumption for secret key sizes (50.00%) and ciphertext sizes (26.88%) against GCM. This implies that the GCM approach offers the highest privacy protection but is less effective due to sluggish speed and memory utilization. Though, future works could consider modifications to the complex processes of traditional cryptographic schemes to make them simpler (lightweight) and easily applicable to resource-constrained devices.