A Secure Three-Factor Anonymous User Authentication Scheme for Internet of Things Environments

Abstract

Internet of Things (IoT) is composed of various kinds of devices such as cars, electrical appliances, machines and sensors. With IoT technologies, devices can exchange information through the network, people are allowed to get information collected by devices without interacting with them, and automatic operations for devices are realized. Because of the variety of IoT devices, some of them possess limited computational capability. On the other hand, data transmission in IoT networks is usually through a public channel. To ensure efficiency and security for IoT environments, Lee et al. proposed a three-factor authentication scheme with hash function and XOR operation. They claimed their scheme possessed superior properties and could resist common attacks. After analyzing their scheme, we find that their scheme is vulnerable to five flaws. In this paper, how these found flaws threaten Lee et al.’s scheme is shown in detail. Then, we propose an improvement to overcome the found flaws and preserve the advantages by employing ECC.

An Adaptive Protection System for Sensor Networks Based on Analysis of Neighboring Nodes

“…However, blockchain is a rather complex and resource-intensive technology, in which trust is achieved using signatures, as in classical cryptography [6]. Deep learning authentication methods are another popular sensor security solution [7]. At the same time, researchers are looking for new signs of behavior assessment that would form the basis of authentication [8].…”