Securing the perceptual layer of E-payment-based internet of things devices using elliptic curve cryptography over binary field.

The perceptual layer of the Internet of Things has some security threats, such as denial of service, botnet, and falsification attacks. The existing security schemes are the symmetric polynomial concept, privacy-preserving communication protocols for IoT applications, block chain-based secure IoT systems, and mutual authentication systems for wearable technology, which cannot be directly implemented on the perceptual layer of the IoT device. This study presents a binary field elliptic curve cryptographic (ECC) algorithm to secure the perceptual layer of IoT-enabled electronic payment devices. The procedure includes device registration, authentication for key agreement and unlocking, and the communication phase. Some parameters were used to lock the node, while identification tags were used to identify an authentic node. Nodes were generated using point addition and point doubling. The processing, storage capacity, and transaction speed were directly evaluated using contactless devices with the binary field ECC security protocol. The Jitter result reveals that the value did not deviate from normal for both devices. The results time also showed that it is computationally efficient to use ECC over the binary field for the security of the perceptual layer with a significant contribution using device identification tags and point multiplication to protect against falsification attacks, node locking to combat DDoS and key exchange with node unlocking for defense against botnet attacks. [ABSTRACT FROM AUTHOR]