An Intelligent approach for UAV and Drone Privacy Security Using Blockchain Methodology

Rana, Tarun; Shankar, Achyut; Sultan, Mohd Kamran; Patan, Rizwan; Balamurugan, B.

doi:10.1109/confluence.2019.8776613

Cited by 52 publications

(25 citation statements)

References 12 publications

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“…2) Unmanned Aerial Vehicles (UAV): UAVs or drones will also present an important part in 6G as high-data-rate wireless connectivity will be required. Here, blockchain can play a major role to contribute to the protection of the security and privacy of the drones and thereby collected information [32]. Li et al [33] also illustrate the significance of 5G in UAV context.…”

Section: Artificial Intelligence (Ai)mentioning

confidence: 99%

The Role of Blockchain in 6G: Challenges, Opportunities and Research Directions

Hewa

Gûr

Kalla

et al. 2020

2020 2nd 6G Wireless Summit (6G SUMMIT)

175

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The world is going through a fundamental transformation with the emergence of the intelligent information era.The key domains linked with human life such as healthcare, transport, entertainment, and smart cities are expected to elevate the quality of service with high-end user experience. Therefore, the telecommunication infrastructure has to meet unprecedented service level requirements such as ultra high data rates and traffic volume for the prominent future applications such as Virtual Reality (VR), holographic communications, and massive Machine Type Communications (mMTC). There are significant challenges identifiable in the communication context to match the envisaged demand surge. The blockchain and distributed ledger technology is one of the most disruptive technology enablers to address most of the current limitations and facilitate the functional standards of 6G. In this work, we explore the role of blockchain to address formidable challenges in 6G, future application opportunities and potential research directions.

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Section: Artificial Intelligence (Ai)mentioning

confidence: 99%

The Role of Blockchain in 6G: Challenges, Opportunities and Research Directions

Hewa

Gûr

Kalla

et al. 2020

2020 2nd 6G Wireless Summit (6G SUMMIT)

175

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“…Jensen et al 45 conversed on how the applicability of blockchain can handle various cyber‐attacks in UAV swarm networks, even though only Hyperledger Fabric framework has been explored for drone swarm. Rana et al 46 signified ways to improve drone security and UAVs by means of blockchain technology, focusing on generic access control mechanisms to increase drone connectivity. Then, Koubaa et al 47 assimilated the cloud computing approach with drones to address latency and cost issues.…”

Section: State‐of‐the‐art Techniquesmentioning

confidence: 99%

Fusion of blockchain and artificial intelligence for secure drone networking underlying 5G communications

Gupta

Kumari

Tanwar

2020

Trans Emerging Tel Tech

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Nowadays, the exponential increase in the usage of drones in various realms of societal and military applications necessitates advancements and stability in drone communication. Drones have proven their potential in providing real‐time cost‐efficient solutions for several applications like healthcare, smart grid surveillance, smart city monitoring, and border surveillance. Though it has many security and privacy issues, researchers across the globe have given numerous solutions to protect drone communication from cyber‐attacks. Most of these solutions were based on cryptographic techniques and are highly compute extensive. There exist few blockchain‐based solutions, which suffer from high transaction storage costs with communication reliability, latency, and bandwidth issues. Motivated by these facts, in this paper, we present a comprehensive survey to secure drone communication and propose a blockchain‐based secure and intelligent drone communication architecture underlying 5G communication network and artificial intelligence (AI) techniques. The proposed architecture uses an InterPlanetary File System (IPFS) as a platform for data storage, which ensures improved network performance, communication security and privacy, and reduces transaction storage cost. Further, it facilitates efficient drone communication in providing dynamic, flexible, and on‐the‐fly decisions competencies through 5G and AI technologies. Then, we incorporate a healthcare‐based case study using the proposed architecture. At last, future research challenges and directions are emphasized for improvement in this research area.

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“…This will result in highly sensitive information being vulnerable to hackers intercepting the data mid-flight or from the drone base. Tarun Rana et al describe stronger encryption methods using Blockchain technology with Private and Public key cryptography [44]. These methods or similar will be necessary to provide optimal protection to defend against these types of security risks.…”

Section: Ethical and Societal Challengesmentioning

confidence: 99%

A Data-Driven Simulator for the Strategic Positioning of Aerial Ambulance Drones Reaching Out-of-Hospital Cardiac Arrests: A Genetic Algorithmic Approach

Mackle

Bond

Torney

et al. 2020

IEEE J. Transl. Eng. Health Med.

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Objective: The Internet of Things provide solutions for many societal challenges including the use of unmanned aerial vehicles to assist in emergency situations that are out of immediate reach for traditional emergency services. Out of hospital cardiac arrest (OHCA) can result in death with less than 50% of victims receiving the necessary emergency care on time. The aim of this study is to link real world heterogenous datasets to build a system to determine the difference in emergency response times when having aerial ambulance drones available compared to response times when depending solely on traditional ambulance services and lay rescuers who would use nearby publicly accessible defibrillators to treat OHCA victims. Method: The system uses the geolocations of public accessible defibrillators and ambulance services along with the times when people are likely to have a cardiac arrest to calculate response times. For comparison, a Genetic Algorithm has been developed to determine the strategic number and positions of drone bases to optimize OHCA emergency response times. Conclusion: Implementation of a nationwide aerial drone network may see significant improvements in overall emergency response times for OHCA incidents. However, the expense of implementation must be considered.

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An Intelligent approach for UAV and Drone Privacy Security Using Blockchain Methodology

Cited by 52 publications

References 12 publications

The Role of Blockchain in 6G: Challenges, Opportunities and Research Directions

The Role of Blockchain in 6G: Challenges, Opportunities and Research Directions

Fusion of blockchain and artificial intelligence for secure drone networking underlying 5G communications

A Data-Driven Simulator for the Strategic Positioning of Aerial Ambulance Drones Reaching Out-of-Hospital Cardiac Arrests: A Genetic Algorithmic Approach

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