Security and privacy risks in drone-based last mile delivery

被引:7
|
作者
Tu, Yu-Ju [1 ]
Piramuthu, Selwyn [2 ]
机构
[1] Natl Chengchi Univ, Management Informat Syst, Taipei, Taiwan
[2] Univ Florida, Informat Syst & Operat Management, Gainesville, FL 32611 USA
关键词
Drone; identifier; last mile delivery; privacy; RFID; security; INFORMATION-SYSTEMS; ARTIFACT; INTERNET;
D O I
10.1080/0960085X.2023.2214744
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The consideration of drones for last mile delivery brings with it several challenges that include both physical ones such as battery life, drone range, carrying capacity, and form factor of the drone as well as those related to security and privacy of the parties associated with any given packet as well as its content. Privacy and security aspects are significant since last mile delivery drones operate outside the warehouse and are not under complete control of the delivery service operator. This is especially salient with respect to communications between the drone and outside entities that are not necessarily authorised for such communication by the operator. Even if such outside entities are authorised to communicate with the drone, while it is in the open, there may be restrictions on the types of information it can reveal to any given external entity. In addition to an overview of the main security and privacy issues in drone-based last mile delivery, we discuss general security and privacy issues and how these translate to drone-based last mile delivery. We consider various facets of issues related to privacy and security of drone-based last mile delivery. Specifically, we study risks associated with privacy and security in this environment with specific emphasis on those related to codes, external entities, and communication signals. We then identify some of the gaps in associated extant academic literature that could potentially be addressed in future studies.
引用
收藏
页码:617 / 630
页数:14
相关论文
共 50 条
  • [1] Consumer acceptance of drone-based technology for last mile delivery
    Schmidt, Sebastian
    Saraceni, Adriana
    RESEARCH IN TRANSPORTATION ECONOMICS, 2024, 103
  • [2] DRONE LAST MILE DELIVERY: AN ASSESSMENT OF THE VIABLE MARKET AND SECURITY POTENTIAL OF DRONE DELIVERY
    Grofelnik, Igor
    Godnov, Uros
    Sternad, Marjan
    EKONOMSKI VJESNIK, 2022, 35 (02): : 337 - 352
  • [3] Ranking the benefits of drone-based last-mile delivery due to adoption of its enablers
    Kumbhani, Chandresh
    Kant, Ravi
    JOURNAL OF ADVANCES IN MANAGEMENT RESEARCH, 2024, 21 (05) : 805 - 836
  • [4] A-VRPD: Automating Drone-Based Last-Mile Delivery Using Self-Driving Cars
    Imran, Navid Mohammad
    Mishra, Sabyasachee
    Won, Myounggyu
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (09) : 9599 - 9612
  • [5] Consumers' perceptions of last mile drone delivery
    Leon, Steven
    Chen, Charlie
    Ratcliffe, Aaron
    INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, 2023, 26 (03) : 345 - 364
  • [6] Last Mile Delivery by Drone: a Technoeconomic Approach
    Skoufi, Evgenia
    Filiopoulou, Evangelia
    Skoufis, Angelos
    Michalakelis, Christos
    ECONOMICS OF GRIDS, CLOUDS, SYSTEMS, AND SERVICES, GECON 2021, 2021, 13072 : 27 - 35
  • [7] Last-mile delivery with drone and lockers
    Boschetti, Marco Antonio
    Novellani, Stefano
    NETWORKS, 2024, 83 (02) : 213 - 235
  • [8] Drone Routing for Drone-Based Delivery Systems: A Review of Trajectory Planning, Charging, and Security
    Raivi, Asif Mahmud
    Huda, S. M. Asiful
    Alam, Muhammad Morshed
    Moh, Sangman
    SENSORS, 2023, 23 (03)
  • [9] Joint optimization of customer location clustering and drone-based routing for last-mile deliveries
    Salama, Mohamed
    Srinivas, Sharan
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2020, 114 : 620 - 642
  • [10] DroneTalk: An Internet-of-Things-Based Drone System for Last-Mile Drone Delivery
    Chen, Kuan-Wen
    Xie, Ming-Ru
    Chen, Yu-Min
    Chu, Ting-Tsan
    Lin, Yi-Bing
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (09) : 15204 - 15217