Securing Against DoS/DDoS Attacks in Internet of Flying Things using  Experience-based Deep Learning Algorithm

Abstract

Due to the limited computational resources of small unmanned aerial vehicles (UAVs), the Internet of flying things (IoFT) is vulnerable to cybersecurity attacks, particularly Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks. In addition, the transfer of reliable information from source UAV to destination UAV is another big challenge in IoFT networks. Therefore, this article aims to address the security deficiency by proposing an experience-based deep learning algorithm to cater to the DoS, D-DoS and a special kind of threat covering ping-of-death attacks. The proposed scheme uses the notion of the intrusion detection system (IDS). In addition, for reliable communication, a nature-based control routing algorithm AntHocNet is investigated with other contemporary protocols. The proposed approach is implemented in a smart city environment as a case study. The result authenticates the superiority of the proposed schemes in terms of security and QoS requirement from its counterparts.

Hyperelliptic curve based authentication for the internet of drones

“…Because of this attack, the topological information gets shared within the network and thereby exploiting the vulnerabilities. This may divert the paths and degrades the performance of the throughput and packet delivery ratio [16].…”

A Survey on Sensor- and Communication-Based Issues of Autonomous UAVs

“…In [123], the authors proposed a spectrogramtailored ML method able to detect four types of Jamming attacks, namely barrage, protocol-aware, single-tone, and successive-pulse. To mitigate the effects of a Jamming attack on a network level of the communication link, also referred to as a DoS attack, authors in [124] developed an Intrusion Detection System operated by a deep machine learning algorithm based on previously experienced DoS attacks. To tackle Man-in-the-Middle attacks, the authors in [125] proposed a lightweight digital signature protocol solution to authenticate the communication and, thus, validate each received command by comparing the signatures.…”