Security Authentication System Using Encrypted Channel on UAV Network

Yoon, Kwanwoong; Park, Daejun; Yim, Yujin; Kim, Kyoung-Hee; Yang, Szu Kai; Robinson, Myles

doi:10.1109/irc.2017.56

Cited by 68 publications

(31 citation statements)

References 5 publications

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“…Yoon et al [16], proposed a solution to network channel or physical hardware hijacking of commercial UAVs by anonymous attackers. The solution proposed here was to exploit an additional encrypted communication channel, an authentication algorithm, and perform DoS attack through Raspberry Pi to maintain UAV control in hijacking situations.…”

Section: Detection Schemesmentioning

confidence: 99%

“…• The use of the modular concept for a completely localized approach • The clustering process with automatic equilibrium to realize the formation of the UAVs and capture their formation • Resistance to intruding UAVs • Excessive blocking of maneuvers • Random noise generation in three directions that injects the overhead into the network • Not covering most lethal attacks [16] In this study, a method was developed to prevent the abduction of network channels or physical hardware by unidentified attackers on commercial airless systems. This paper proposes an additional encrypted communication channel, authentication algorithm, and denial of service attack through the likelihood of pi and its high applicability in commercial UAV systems…”

Section: Security Schemesmentioning

confidence: 99%

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Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system

Fotohi

2020

Reliability Engineering & System Safety

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UASs form a large part of the fighting ability of the advanced military forces. In particular, these systems that carry confidential information are subject to security attacks. Accordingly, an Intrusion Detection System (IDS) has been proposed in the proposed design to protect against the security problems using the human immune system (HIS). The IDSs are used to detect and respond to attempts to compromise the target system. Since the UASs operate in the real world, the testing and validation of these systems with a variety of sensors is confronted with problems. This design is inspired by HIS. In the mapping, insecure signals are equivalent to an antigen that are detected by antibody-based training patterns and removed from the operation cycle. Among the main uses of the proposed design are the quick detection of intrusive signals and quarantining their activity. Moreover, SUAS-HIS method is evaluated here via extensive simulations carried out in NS-3 environment. The simulation results indicate that the UAS network performance metrics are improved in terms of false positive rate, false negative rate, detection rate, and packet delivery rate. detection methods to track and to eliminate. In specific, to increase the chance of successfully intercepting a ballistic missile, it is essential to have swift detection and tracking system, capable of detecting and tracking the missile right after it is launched. The designers working on ballistic missile defense networks are aiming the system to be capable of intercepting the missiles during their initial 2 to 5 minutes of flight, which is called the boost phase. During the boost phase, if the trajectory of the missile is directly away from the trajectory of the UAV, it will easily recede from the range of the sensors on the UAV. Hence, the routing of the information used in the network of the sensors of the ballistic missile should be addressed using networks of hybrid wireless sensors capable of complying with high availability and requirements mandated due to security. To demonstrate the UAVs' applications that have an innate time sensitivity, and to signify the urgency of providing security in communication channels, this case is discussed in the following paper [2,3]. However, despite the advantage's UAVs provide through various applications, since there are situations where no pilot monitors the activities, they are potentially vulnerable against cyber threats. This intensifies the emergence to design secure and reliable UASs and overcome the challenges to avoid damage and destruction to other systems as well as human lives [2,3].A number of attacks, such as Wormhole (WH), Black hole (BH), Gray hole (GH), and Fake Information Dissemination (FID), illegally penetrate the system. Once an unmanned system is affected by an attack, removing the threat and bringing the system back online is a laborious task. It should be mentioned that the common methods to secure information, such as encryption or intrusion detection [4], are inadequate when dealing with such risks. T...

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Section: Detection Schemesmentioning

confidence: 99%

Section: Security Schemesmentioning

confidence: 99%

Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system

Fotohi

2020

Reliability Engineering & System Safety

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“…Ensuring security has become increasingly necessary and important for the wide adoption of UAV systems. The existing security methods proposed for UAV systems can be classified into hardware [17], [18] and software approaches [13], [15], [19].…”

Section: Related Workmentioning

confidence: 99%

“…In [18], the authors proposed the idea of an additional encrypted communication channel to enhance the security of data in UAVs through Raspberry Pi. This channel was designed to regain control of the UAV in case it was target to attack.…”

Section: Related Workmentioning

confidence: 99%

MAVSec: Securing the MAVLink Protocol for Ardupilot/PX4 Unmanned Aerial Systems

Allouch

Cheikhrouhou

Koubâa

et al. 2019

2019 15th International Wireless Communications &Amp; Mobile Computing Conference (IWCMC)

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The MAVLink is a lightweight communication protocol between Unmanned Aerial Vehicles (UAVs) and ground control stations (GCSs). It defines a set of bi-directional messages exchanged between a UAV (aka drone) and a ground station. The messages carry out information about the UAV's states and control commands sent from the ground station. However, the MAVLink protocol is not secure and has several vulnerabilities to different attacks that result in critical threats and safety concerns. Very few studies provided solutions to this problem. In this paper, we discuss the security vulnerabilities of the MAVLink protocol and propose MAVSec, a security-integrated mechanism for MAVLink that leverages the use of encryption algorithms to ensure the protection of exchanged MAVLink messages between UAVs and GCSs. To validate MAVSec, we implemented it in Ardupilot and evaluated the performance of different encryption algorithms (i.e. AES-CBC, AES-CTR, RC4 and ChaCha20) in terms of memory usage and CPU consumption. The experimental results show that ChaCha20 has a better performance and is more efficient than other encryption algorithms. Integrating ChaCha20 into MAVLink can guarantee its messages confidentiality, without affecting its performance, while occupying less memory and CPU consumption, thus, preserving memory and saving the battery for the resource-constrained drone.

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“…Some of the challenges are the (a) trust and information verification, (b) the key distribution for maintaining secure channels, and (c) the forwarding algorithms for finding the best route. Some of the most common attacks are (1) identity and geographical position revealing, (2) Denial of Service (DoS), (3) Sybil attack creating the illusion of several cars with the same ID, (4) Spam to increase the latency of network transmissions, (5) Man in the Middle (MiM), in which a node listens and injects false information in the communication between two nodes, (6) black hole attack, by always declaring having the shortest path, (7) cheating with position info.…”

Section: Introductionmentioning

confidence: 99%