Lightweight Security Authentication Mechanism Towards UAV Networks

Teng, Liwei; Ma, Jianfeng; Feng, Pengbin; Meng, Yue; Ma, Xiaohua; Zhang, Jiawei; Gao, Chenyang; Lu, Di

doi:10.1109/nana.2019.00072

Cited by 48 publications

(22 citation statements)

References 4 publications

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“…The author developed a general framework based on network interdiction games in which aircraft used to route the correct optimal path and avoid the danger points, that is, malicious attacks. Teng et al 98 introduced a new innovative identification authentication model based on the Elliptical cryptography curve. The author designed three phases to draw authentication: initialization phase, identification phase, and key verification.…”

Section: Background Studies and Reported Work In The State Of The Artmentioning

confidence: 99%

Flying through the secure fog: A complete study on UAV‐Fog in heterogeneous networks

Gupta

2022

Int J Communication

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Summary A drone or unmanned aerial vehicles (UAVs) is becoming a trending area for researchers worldwide. UAV's contribution is increasing in day‐to‐day life, whether it is in a military zone, disaster management, healthcare sector, smart cities, Internet of Things (IoT), urban air mobility, and many more. In contrast, UAV's limited computational capability and low‐energy sources pose significant challenges for real‐time data processing, storage, networking, and security that are critical in emergencies such as floods, earthquakes, and cyclones. UAVs are rapidly used to satisfy user requirements as well as services. As the demand for UAVs aided heterogeneous wireless networks increases in critical emergencies, fog computing serves several benefits to fulfill users' demands in terms of low latency, support, data storage, mobility, availability, scalability, and so on. This study aims to present a comprehensive study with their technical aspects for understanding fog computing, security issues, privacy concerns, and risks, along with its solutions. This paper suggests the collaboration of UAV‐Fog architecture based on the four‐tier network consisting of smart things, local UAVs, UAV‐Fog, and cloud server, to control UAV's data and also described some of the security issues faced by this cloud infrastructure. Further, this research article also sheds new light on some scenarios of UAV‐Fog for such deployments, applications, opportunities, challenges, and their major security threats and their countermeasures. Afterward, we design taxonomy of the collaboration of UAV‐Fog with their respective approaches.

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Section: Background Studies and Reported Work In The State Of The Artmentioning

confidence: 99%

Flying through the secure fog: A complete study on UAV‐Fog in heterogeneous networks

Gupta

2022

Int J Communication

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“…In [50], a lightweight recognition authentication mode backed by ECC (Elliptic Curve Cryptography) is suggested that has three steps: i) ECC certification initiation, ii) identity authentication, and iii) key compatibility verification. Teng et al have mentioned that the first two steps are fully compatible with the two-way authentication.…”

Section: ) Lightweight Authentication Protocols For Uavmentioning

confidence: 99%

“…Whereas, the last step verifies the consistency of the verification key. In contrast with the traditional authentication modes in the UAV network, the perspective suggested in [50] is based on short keys and less computing workload. Barka et al suggested a capable lightweight communication plan for the aerial Named Data Networking (NDN) [51].…”

Section: ) Lightweight Authentication Protocols For Uavmentioning

confidence: 99%

Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

2021

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With the rapid growth in technology, the use of Unmanned Aerial Vehicles (UAVs) have increased in civil and military applications including rescue operations, disaster recovery, and military operations. Despite the utility and advantages of UAVs, they may lead to major security breaches in the context of hardware, software, and communication channel, due their ease of use and availability. UAVs are vulnerable to various types of attacks such as spoofing, false data injection, jamming, fuzzing, availability, confidentiality, and integrity attacks. To overcome these security threats, researchers have been investigating strong security protocols to keep UAVs safe from the attackers. Nevertheless, there are many flaws in the developed protocols which can be exploited by hackers. Therefore, it is becomes crucial to study and analyze the existing security protocols used in UAVs to discover and address their vulnerabilities and weaknesses. The purpose of this study is to explore the vulnerabilities in the security protocols and propose guidelines to improve the security and provide future research directions.

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“…Their scheme is also feasible for 5G enabled drones. Teng et al [40] demonstrated an identity-based ECC certification method was used to design a three-factor authentication scheme for working in Unmanned Aerial Vehicular Networks (UAVNs) enabled vehicles (drones). They said that RSA couldn't be feasible for such a resourceless environment, as it provides a log certification facility.…”

Section: Related Workmentioning

confidence: 99%

Identity and Aggregate Signature-Based Authentication Protocol for IoD Deployment Military Drone

Jan

Khan²

2021

IEEE Access

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With the rapid miniaturization in sensor technology, ruddervator, arduino, and multi-rotor system, drone technology catches much attention of the researchers. It can be controlled remotely by a seated operator sitting to a powerful intelligence computer system (PICS) or an airborne control and command platform (AC2P). The two types of drones (reconnaissance and attacking) can communicate with each other and with the PICS or AC2P through wireless network channels referred to as Flying Ad Hoc Network or Unmanned Aerial Vehicular Network (FANET or UAVN). When the line of sight is broken, communication is mainly carried out through satellite using GPS (Global Positioning System) signals. Both GPS and UAVN/FANET use open network channels for data broadcasting, exposed to several threats, and its security is challenging for the researchers. Monitoring data transmission traffic, espionage, troop movement, border surveillance, searching and warfare battlefield phenomenon, etc., can auspiciously be achieved by developing a robust authentication scheme for IoD deployment military drone. Therefore, this research illustrates the designing of two separate protocols based on aggregate signature, identity, pairing cryptography, and Computational Diffie-Hellman Problem (CDHP) to guarantee data integrity, authorization, and confidentiality among drones and AC2P/PICS. The outdated data transmission flaw has also been tackled, which is frequently noted in prior protocols. The security of these protocols will formally be verified using a random oracle model (ROM), a real-or-random (ROR) model, and informally using pragmatic illustration and mathematical lemmas. Nonetheless, the performance analysis section will be executed using the algorithmic big-O notation. The results show that these protocols are verifiably protected in the Random Oracle Model (ROM) and Real-Or-Random (ROR) model using the CDHP.

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Lightweight Security Authentication Mechanism Towards UAV Networks

Cited by 48 publications

References 4 publications

Flying through the secure fog: A complete study on UAV‐Fog in heterogeneous networks

Flying through the secure fog: A complete study on UAV‐Fog in heterogeneous networks

Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

Identity and Aggregate Signature-Based Authentication Protocol for IoD Deployment Military Drone

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