book

Drone Technology

by Sachi Nandan Mohanty, J. V. R. Ravindra, G. Surya Narayana, Chinmaya Ranjan Pattnaik, Y. Mohamed Sirajudeen

June 2023

Intermediate to advanced

464 pages

13h 3m

English

Wiley-Scrivener

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1.1 Introduction1.2 Forces Acting on a Drone1.3 Principal Axes1.4 Broad Classification of Drones1.5 Military Necessity of Drones1.6 Conclusion and Future ScopeReferences
2.1 Introduction2.2 How Drones Work and Their Anatomy2.3 Salient Features and Important Codes with Public Awareness with Respect to Safety and Necessary Precautionary Points2.4 Top 10 Stunning Applications of Drone Technology2.5 Drones in Enterprises: What Value Do They Add? Work Place Safety and Industry Benchmarks2.6 Advantages and Disadvantages of Drones2.7 Drone Technology as Career and Offered Jobs in the Current Industry2.8 Societal Impact—Commercial Drones2.9 Drones Research Challenges and Solutions2.10 ConclusionReferences
3.1 Introduction3.2 Classification of Various Categories of Air Drones3.3 Drones Acting on Various Industries3.4 Conclusions and Future ScopeReferences
4.1 Introduction4.2 Classification of Drones4.3 Flight Performance Analysis4.4 Dynamics and Design Objectives of Drones4.5 Design Methods and Challenges4.6 Guidance, Navigation, and Control of Drones4.7 ConclusionReferences
5.1 Introduction5.2 Evolution of the Drone5.3 Drone Features5.4 AI Meets Drones5.5 Use Cases5.6 ConclusionReferences

6.1 Introduction6.2 Drone Technology6.3 India 2021: The Drone Policy and Rules6.4 Unmanned Aerial Vehicle (UAV) or Drone Application6.5 ConclusionReferences
7.1 Introduction7.2 Review of Literature7.3 AI in Drone Navigation7.4 Companies that Use the AI Drone to Solve Big Problems7.5 Drone Applications Using AI7.6 Issues in the Integration of AI with Drones7.7 ConclusionReferences
8.1 Introduction8.2 Drone Hardware8.3 Components of UAV8.4 Literature Survey8.5 Analysis and DiscussionConclusionReferences
9.1 Introduction to Smart Cities9.2 Components and Characteristics of Smart Cities9.3 The Role of IoT in Smart Cities9.4 General Approach to Implement IoT Solutions in Smart City Design9.5 Challenges in IoT Solutions to Use in Smart City Design9.6 Introduction to Unmanned Aerial Vehicles9.7 Opportunities and Challenges of UAV’s in Smart Cities9.8 Drone-Enabled IoT9.9 Conclusion and Future ScopeReferences
10.1 Introduction10.2 Literature Survey10.3 Proposed Model10.4 Deep Learning Model Safeties10.5 Performance Evaluation10.6 Conclusion10.7 Conclusion and Future WorkAcknowledgementsReferences
11.1 Introduction11.2 Research Methodology11.3 Motivation11.4 Machine Learning for Drone Security11.5 Use of AI in Cyber Security11.6 Use of AI in System to Achieve Robustness, Resilience and Response11.7 NIC Algorithms in Cyber Security11.8 Example Systems for AI and ML Applications for Cyber Security Diagnose11.9 Introduction of New Threats11.10 Areas were Malicious Use of Deepfakes is Trending11.11 Model-Aided Deep Reinforcement Learning for Sample-Efficient UAV Trajectory Design in IoT Networks11.12 Model-Aided Deep Q-Learning11.13 Algorithm Model-Aided Deep Q-Learning Trajectory Design11.14 Machine Learning for Drone Security11.15 Surveillance11.16 Technologies Driving Drones’ Success11.17 Related Work11.18 Drones for Public Safety11.19 Securing Drones11.20 Future Work11.21 ContributionsConclusionReferences
12.1 Introduction to IoT Enabled UAV12.2 Drones in Precision Farming12.3 Challenges and Future Scope in IoT-Enabled Drone12.4 Results and DiscussionAcknowledgementReferences
13.1 Introduction to Military Drones13.2 Literature Review13.3 Methodology of UAV’s in Military Applications13.4 Software Implementation13.5 ConclusionReferences
14.1 Introduction14.2 Components of a Drone14.3 Study of Natural Resources14.4 Soil Fertility Management14.5 Irrigation and Water Management14.6 Crop Disease Identification14.7 Pest Control Management14.8 Agricultural Drones to Improve Crop Yield Management Efficiency14.9 Issues and Challenges14.10 ConclusionReferences
15.1 Introduction15.2 Related Works15.3 Drone Intrusion Detection Methodology15.4 Results and Discussion15.5 ConclusionReferences
16.1 Introduction16.2 Related Works16.3 Applications of DronesAerial Vehicle Applications in HealthcareCommunication Protocols and TechnologyCommunication ArchitectureComponents16.4 Suggested Framework16.5 Challenges16.6 ConclusionFuture ScopesReferences
17.1 Introduction17.2 History of Drones17.3 Drone Delivery in Healthcare17.4 Drone Delivery of Food17.5 Drone Delivery in Postal Service17.6 Delivery of GoodsAcknowledgementsReferences

Content preview from Drone Technology

11Algorithms to Mitigate Cyber Security Threats by Employing Intelligent Machine Learning Models in the Design of IoT-Aided Drones

Devee Siva Prasad¹, Pyla Jyothi², G. Suryanarayana^3* and Sachi Nandan Mohanty⁴

¹ Computer Science and Engineering, BABA Institute of Technology and Sciences (NR), Visakhapatnam, Andhra Pradesh, India

² Computer Science & Engineering, Vignan’s Institute of Engineering for Women, Visakhapatnam, Andhra Pradesh, India

³ Computer Science & Engineering, Vardhaman College of Engineering, Hyderabad, Telangana, India

⁴ School of Computer Science & Engineering, VIT-AP University, Amaravathi, Andhra Pradesh, India

Abstract

Innovative and emerging technologies such as artificial intelligence, blockchain, business applications, cyber security, drones, and IoT have long helped organizations solve business problems and be more efficient, productive, and profitable. Developments in drones have opened new developments and possibilities in one-of-a-kind fields, especially in small drones [32, 33, 38]. Drones offer interlocution offerings for navigation, and this interlink is supplied via way of means of the Internet of Things (IoT). However, architectural problems make drone networks prone to privateness and protection threats. It is vital to offer a secure and stable community to collect preferred performance. Small drones are locating new paths for development within side the civil and protection industries [42, 44], however additionally posing new demanding situations ...