A Survey of Security in UAVs and FANETs: Issues, Threats, Analysis of Attacks, and Solutions

Thanks to the rapidly developing technology, unmanned aerial vehicles (UAVs) are able to complete a number of tasks in cooperation with each other without need for human intervention. In recent years, UAVs, which are widely utilized in military missions, have begun to be deployed in civilian applications and mostly for commercial purposes. With their growing numbers and range of applications, UAVs are becoming more and more popular; on the other hand, they are also the target of various threats which can exploit various vulnerabilities of UAV systems in order to cause destructive effects. It is therefore critical that security is ensured for UAVs and the networks that provide communication between UAVs. In this survey, we aimed to present a comprehensive detailed approach to security by classifying possible attacks against UAVs and flying ad hoc networks (FANETs). We classified the security threats into four major categories that make up the basic structure of UAVs; hardware attacks, software attacks, sensor attacks, and communication attacks. In addition, countermeasures against these attacks are presented in separate groups as prevention and detection. In particular, we focus on the security of FANETs, which face significant security challenges due to their characteristics and are also vulnerable to insider attacks. Therefore, this survey presents a review of the security fundamentals for FANETs, and also four different routing attacks against FANETs are simulated with realistic parameters and then analyzed. Finally, limitations and open issues are also discussed to direct future wor

Reliable and Secure Drone-assisted MillimeterWave Communications

The next generation of mobile networks and wireless communication, including the fifth-generation (5G) and beyond, will provide a high data rate as one of its fundamental requirements. Providing high data rates can be accomplished through communication over high-frequency bands such as the Millimeter-Wave(mmWave) one. However, mmWave communication experiences short-range communication, which impacts the overall network connectivity. Improving network connectivity can be accomplished through deploying Unmanned Ariel Vehicles(UAVs), commonly known as drones, which serve as aerial small-cell base stations. Moreover, drone deployment is of special interest in recovering network connectivity in the aftermath of disasters. Despite the potential advantages, drone-assisted networks can be more vulnerable to security attacks, given their limited capabilities. This security vulnerability is especially true in the aftermath of a disaster where security measures could be at their lowest. This thesis focuses on drone-assisted mmWave communication networks with their potential to provide reliable communication in terms of higher network connectivity measures, higher total network data rate, and lower end-to-end delay. Equally important, this thesis focuses on proposing and developing security measures needed for drone-assisted networks’ secure operation. More specifically, we aim to employ a swarm of drones to have more connection, reliability, and secure communication over the mmWave band. Finally, we target both the cellular 5Gnetwork and Ad hoc IEEE802.11ad/ay in typical network deployments as well as in post-disaster circumstances

IPV6 BLOCKCHAIN DATA COMMUNICATION FOR UAV SWARM-INTELLIGENCE SYSTEMS BASED ON PEER-TO-PEER, PEER-TO-MANY, AND MANY-TO-PEER SCENARIOS

This thesis explores the use of blockchains along with the Internet Protocol version 6 (IPv6) data packet messages to support secure, high-performance, and scalable communication with an intelligent swarm of unmanned aerial vehicles (UAVs). For this thesis, we investigate the exchange of encrypted data packets for three scenarios, those being peer-to-peer, peer-to-many, and many-to-peer. We simulate the swarm’s behavior for each of these scenarios and vary the number of UAVs in a swarm over the simulation runs. The simulation-based results showed that for peer-to-peer scenarios and many-to-peer scenarios, there is no significant increase in latency even though in many-to-peer scenarios, the number of interacting nodes increases. In contrast, latency increases for the peer-to-many scenarios. Additional research needs to be performed to assess the security and scalability of the blockchain-IPv6 approach proposed in this thesis.Major, Indonesian NavyApproved for public release. Distribution is unlimited

LS-AODV: A ROUTING PROTOCOL BASED ON LIGHTWEIGHT CRYPTOGRAPHIC TECHNIQUES FOR A FANET OF NANO DRONES

With the battlespace rapidly shifting to the cyber domain, it is vital to have secure, robust routing protocols for unmanned systems. Furthermore, the development of nano drones is gaining traction, providing new covert capabilities for operators at sea or on land. Deploying a flying ad hoc network (FANET) of nano drones on the battlefield comes with specific performance and security issues. This thesis provides a novel approach to address the performance and security concerns faced by FANET routing protocols, and, in our case, is specifically tailored to improve the Ad Hoc On-Demand Distance Vector (AODV) routing protocol. The proposed routing protocol, Lightweight Secure Ad Hoc On-Demand Distance Vector (LS-AODV), uses a lightweight stream cipher, Trivium, to encrypt routing control packets, providing confidentiality. The scheme also uses Chaskey-12-based message authentication codes (MACs) to guarantee the authenticity and integrity of control packets. We use a network simulator, NS-3, to compare LS-AODV against two benchmark routing protocols, AODV and the Optimized Link State Routing (OLSR) protocol, in order to gauge network performance and security benefits. The simulation results indicate that when the FANET is not under attack from black-hole nodes, LS-AODV generally outperforms OLSR but performs slightly worse than AODV. On the other hand, LS-AODV emerges as the protocol of choice when a FANET is subject to a black-hole attack.ONROutstanding ThesisLieutenant, United States NavyApproved for public release. Distribution is unlimited

A Taxonomy and Review of Lightweight Blockchain Solutions for Internet of Things Networks

Internet of things networks have spread to most digital applications in the past years. Examples of these networks include smart home networks, wireless sensor networks, Internet of Flying Things, and many others. One of the main difficulties that confront these networks is the security of their information and communications. A large number of solutions have been proposed to safeguard these networks from various types of cyberattacks. Among these solutions is the blockchain, which gained popularity in the last few years due to its strong security characteristics, such as immutability, cryptography, and distributed consensus. However, implementing the blockchain framework within the devices of these networks is very challenging, due to the limited resources of these devices and the resource-demanding requirements of the blockchain. For this reason, a large number of researchers proposed various types of lightweight blockchain solutions for resource-constrained networks. The "lightweight" aspect can be related to the blockchain architecture, device authentication, cryptography model, consensus algorithm, or storage method. In this paper, we present a taxonomy of the lightweight blockchain solutions that have been proposed in the literature and discuss the different methods that have been applied so far in each "lightweight" category. Our review highlights the missing points in existing systems and paves the way to building a complete lightweight blockchain solution for resource-constrained networks.Comment: 64 pages, 11 figures