The integration of unmanned aerial vehicles (UAVs), or drones, with Wireless Sensor Networks (WSNs)
has been a successful solution to improve real- time monitoring in military operations, mainly in the
border area. WSNs and UAVs, or drones, have been utilized to improve real- time monitoring in military
operations, mainly in border areas. The model utilizes advanced defence grade sensors, such as LiDAR
for accurate object detection and topography mapping and magnetometers to detect anomalies in the
magnetic field that would indicate hidden metallic threats or buried activities. By adding blockchain
technology to the communication infrastructure, the system provides tamper- proof, transparent, and
decentralized storage of sensor data and shields against unauthorized access and manipulation. This
chapter shows some simulation results and threat analysis demonstrates the immunity of the model against
cyber- attacks and performance in ensuring trust in defence surveillance operations.
- Blockchain-integrated security models for data integrity in drone-based surveillance using wireless sensor networks
- Spinder Kaur - Chandigarh UniversityRohit Bajaj - Chandigarh UniversityManoj Kumar PandeyCelestine IwendiTien Anh Tran - University of Malta
- Shakir Khan (Editor)Hadeel Alsolai (Editor)Arvind Panwar (Editor)Vishal Jain (Editor)
- Enhancing Surveillance With Blockchain and IoT Drone Technology, pp.341-368
- IGI Global Scientific Publishing
- 9972329708841; 9798337342771
- This chapter has been made available in line with IGI Global's fair use policy : https://www.igi-global.com/about/rights-permissions/content-reuse/
- Computing
- English
- Book chapter