Drone Delivery Faces Cybersecurity Threats, But Advanced IoT Can Be its Resolution | #hacking | #cybersecurity | #infosec | #comptia | #pentest | #ransomware



Cybersecurity in beyond visual line-of-sight drone delivery is critical and this makes for a pressing need to shield Internet of Things (IoT) systems, particular advanced IoT. With the FAA granting UPS the green light to perform drone deliveries, there are some concerns. Some experts emphasize the importance of leveraging cybersecurity measures to protect these advancements and hailing them as achievements. Such things like sensors. 

By enabling advanced IoT sensors on drones, it becomes possible to monitor various areas, which can enhance its overall efficacy. Additionally, this paves the way for the potential implementation of edge computing, allowing for efficient, real-time data processing and the hosting of machine learning models directly on the drones. This feature will prove to be beneficial because it can help avoid potential attacks on IoT networks. 

This comprehensive approach ensures robust detection and mitigation of cybersecurity threats The transformative potential that such advancements hold is not merely restricted to commercial applications but also extends to enrich academic and research domains, offering a myriad of avenues for exploration and development.

The insightful Dr. Syed Attique Shah is a lecturer in Smart Computer Systems at Birmingham City University. Shah has extensive knowledge and focus on cybersecurity, IoT, and big data analysis. His work is pivotal for refining IoT security and contributes immensely to the understanding and advancement of benchmarking and performance analysis of large datasets in the field. His expertise provides explanation to the complex challenges and efficiency of IoT, and cybersecurity measures.

Dr. Shah’s Thoughts on Advanced IoT

On Cybersecurity and IoT in Drone Delivery

“Especially what I feel is utilization of cybersecurity measures to safeguard IOT systems in beyond visual line-of-sight drone delivery would be increased more. This particular approval would give more boost to that area as well.”

Significance of Drone Delivery Development

“First of all, this is like a very significant milestone in terms of drone delivery and the drone delivery industry. This development creates several research opportunities and new openings in research and particularly in commercial research and also in academic research.”

Widespread Adoption and Future Research Opportunities

“I would imagine that this approval paves the way for widespread adoption of future research opportunities in beyond visual line-of-sight drone delivery services.”

Enhancements in Drone Communication and Efficiency

“More opportunities will arise for commercial and academic usage of ideas that are related to drone swarming, better drone-to-drone communication, and to enhance drone efficiency.”

Implementation of IoT Drone Geofencing

“More work will be focusing on implementation of IOT drone geofencing because, as you know, beyond visual line-of-sight, we would need some sensors that would be working on certain areas and we cannot fly over restricted zones.”

Utilization of IoT Sensors on Drones

“As we know already that IOT sensors on drones can monitor battery life, maintenance needs, and operational performances, this data from IOT sensors can be further analyzed to optimize delivery routes and schedules and to improve the efficiency of the delivery and the drones themselves.”

Edge Computing in Advanced IoT Network Security

“Edge computing allows for resource-efficient data processing at the source. In terms of IOT network security, and in the context of especially DDoS attacks, distributed denial-of-service attacks, and its detection and its mitigation, it’s quite beneficial to involve edge computing.”

Real-time Analysis and Detection of Anomalies with IoT Edge Computing

“With IOT edge computing, what is important is that we can host machine learning models locally on the edge devices, on the drones especially as well. So this would allow real-time analysis of the data. This would obviously enhance the framework’s ability to detect anomalous patterns that can be associated with any potential attack on the IOT network itself.”

Role of Research in Identifying Network Anomalies

“What we do as researchers, we also have different research papers in this area that focus on this particular issue of identifying these network anomalies in the IOT networks and also focusing on this context of IOT networks to detect DDoS attacks locally through edge computing.”

Article written by Alexandra Simon.


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