Securing Smart City Surveillance: A Lightweight Authentication Mechanism for Unmanned Vehicles

Abstract

The significance of the Internet of Drones (IoD) is increasing steadily and now IoD is being practiced in many military and civilian-based applications. IoD facilitates real-time data access to the users especially the surveillance data in smart cities using the current cellular networks. However, due to the openness of communication channel and battery operations, the drones and the sensitive data collected through drones are subject to many security threats. To cope the security challenges, recently, Srinivas et al. proposed a temporal credential based anonymous lightweight authentication scheme (TCALAS) for IoD networks. Contrary to the IoD monitoring framework proposed by Srinivas et al., their own scheme can work only when there is one and only one cluster/flying zone and is not scalable. Moreover, despite their claim of robustness, the investigation in this paper reveals that Srinivas et al.'s scheme cannot resist traceability and stolen verifier attacks. Using the lightweight symmetric key primitives and temporal credentials, an improved scheme (iTCALAS) is then proposed. The proposed scheme while maintaining the lightweightness provides security against many known attacks including traceability and stolen verifier. The proposed iTCALAS extends scalability and can work when there are several flying zone/clusters in the IoD environment. The formal security proof along with automated verification using ProVerif show robustness of proposed iTCALAS. Moreover, the security discussion and performance comparisons show that the iTCALAS provides the known security features and completes authentication in just 2.295 ms.

RETRACTED ARTICLE: A secure remote health monitoring model for early disease diagnosis in cloud-based IoT environment

“…In the surveyed papers, the security issues were considered in [7,20,30,31], while in others they were not focused. Comparing to the analyzed papers, we aim to offer a secure remote health monitoring model in cloud-based IoT environment using data mining methods for early disease diagnosis which uses a lightweight block encryption method that is a proper solution for constrained medical IoT resources [42] which has not been focused in the studied papers. Therefore, the main contribution or advantage of our proposed model comparing to the previous papers is considering confidentiality and security issues in an operative manner regarding the limitations in IoT resources.…”

“…Generally, encryption plays a curtail role in making IoT systems secure. As an effective technique in block encryption methods, Substitution Box (S-Box) has an important impact [42,43,45,46]. Due to the constrained resources of IoT devices, providing lightweight S-Boxes is a challenge.…”

LAKE-IoD: Lightweight Authenticated Key Exchange Protocol for the Internet of Drone Environment

“…Srinivas et al [7] an AKE scheme for IoD, which is insecure against impersonation and privilege insider attacks. Srinivas et al's scheme also does not scale well as demonstrated in [13]. Z.Lv et al [6] presented a security solution based on convolution neural networks for the IoD environment.…”

ITSSAKA-MS: An Improved Three-Factor Symmetric-Key Based Secure AKA Scheme for Multi-Server Environments

“…Let U A be a legit user of the system and knows the identity of another legal user U i . Following procedure can be adopted by U A to impersonate as a U i : 1) The U A fetches W j corresponding to SID j from RC's verifier table [51], picks an arbitrary nonce R A rand1 and calculates:…”