Premium
Fusion of blockchain and artificial intelligence for secure drone networking underlying 5G communications
Author(s) -
Gupta Rajesh,
Kumari Aparna,
Tanwar Sudeep
Publication year - 2021
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.4176
Subject(s) - drone , computer science , computer security , architecture , cryptography , genetics , biology , art , visual arts
Abstract 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.