IoT for Defense and National Security (eBook, PDF)

Redaktion: Douglass, Robert; Gerali, Stephan; Swami, Ananthram; Gremban, Keith

• Format: PDF

Produktbeschreibung

IoT for Defense and National Security Practical case-based guide illustrating the challenges and solutions of adopting IoT in both secure and hostile environments IoT for Defense and National Security covers topics on IoT security, architecture, robotics, sensing, policy, operations, and more, including the latest results from the premier IoT research initiative of the U.S. Defense Department, the Internet of Battle Things. The text also discusses challenges in converting defense industrial operations to IoT and summarizes policy recommendations for regulating government use of IoT in free societies. As a modern reference, this book covers multiple technologies in IoT including survivable tactical IoT using content-based routing, mobile ad-hoc networks, and electronically formed beams. Examples of IoT architectures include using KepServerEX for edge connectivity and AWS IoT Core and Amazon S3 for IoT data. To aid in reader comprehension, the text uses case studies illustrating the challenges and solutions for using robotic devices in defense applications, plus case studies on using IoT for a defense industrial base. Written by leading researchers and practitioners of IoT technology for defense and national security, IoT for Defense and National Security also includes information on: * Changes in warfare driven by IoT weapons, logistics, and systems * IoT resource allocation (monitoring existing resources and reallocating them in response to adversarial actions) * Principles of AI-enabled processing for Internet of Battlefield Things, including machine learning and inference * Vulnerabilities in tactical IoT communications, networks, servers and architectures, and strategies for securing them * Adapting rapidly expanding commercial IoT to power IoT for defense For application engineers from defense-related companies as well as managers, policy makers, and academics, IoT for Defense and National Security is a one-of-a-kind resource, providing expansive coverage of an important yet sensitive topic that is often shielded from the public due to classified or restricted distributions.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 528
• Erscheinungstermin: 4. Januar 2023
• Englisch
• ISBN-13: 9781119892182
• Artikelnr.: 67287920

Autorenporträt

Robert Douglass, PhD, is the Chief Technology Officer at Alta Montes Inc. Keith Gremban, PhD, is Co-Director of the Spectrum Policy Initiative at the Silicon Flatirons Center, and Research Professor in the Ann and H.J. Smead Aerospace Engineering Sciences Department at the University of Colorado Boulder. Ananthram Swami, PhD, is the Army ST for Network Science, and Chief Scientist of the DEVCOM Army Research Laboratory's CRA on the Internet of Battlefield Things. He is a co-editor of the Wiley book, Wireless Sensor Networks: Signal Processing and Communications Perspectives (2007). Stephan Gerali, PhD, is a Senior Fellow at Lockheed Martin, Inc.

Inhaltsangabe

List of Contributors xix

Introduction: IoT for Defense and National Security xxv
Robert Douglass

Section 1 Introduction: Vision, Applications, and Opportunities 1
Stephan Gerali

1 Internet of Battlefield Things: Challenges, Opportunities, and Emerging Directions 5
Maggie Wigness, Tarek Abdelzaher, Stephen Russell, and Ananthram Swami

1.1 IoBT Vision 5

1.2 IoBT vs. IoT 6

1.3 IoBT Operational Requirements 7

1.5 Performant and Resilient IoBTs 13

1.6 Future Directions 16

1.7 Conclusion 19

References 20

2 Sensorized Warfighter Weapon Platforms: IoT Making the Fog of War Obsolete 23
Kyle Broadway

2.1 Introduction 24

2.2 IoT for Firearms 26

2.3 New Insights into the Battlefield Provided by IoT 27

2.4 Challenges for IoT in Soldier Weapons 31

2.5 Battlefield Challenges to Aggregating and Exfiltrating Data 32

2.6 Protection and Security for IoT Data Communication 34

2.7 State of the Art 37

2.8 Conclusion 37

References 38

3 IoBT Resource Allocation via Mixed Discrete and Continuous Optimization 39
Jonathan Bunton and Paulo Tabuada

3.1 Introduction 39

3.2 Lattices and Submodular Functions 42

3.3 Problem Formulation 43

3.4 An Equivalent Parameterization 44

3.5 Returning to Constraints 47

3.6 Computational Examples 50

3.7 Conclusions 55

References 55

4 Operationalizing IoT Data for Defense and National Security 59
Steve Morgan and Jaime Wightman

4.1 Introduction 59

4.2 Problem Statement 60

4.3 Challenges 62

4.4 Security Considerations 64

4.5 Developing a Strategy for Operationalizing Data 65

4.6 Precedence 69

4.7 End State 70

4.8 Conclusion 71

References 71

5 Real Time Monitoring of Industrial Machines using AWS IoT 73
Stephan Gerali

5.1 Problem Statement 73

5.2 Solution Statement - Overview 74

5.3 Solution Statement - Edge Computing 74

5.4 Solution Statement - Cloud Connectivity 75

5.5 Solution Statement - Streaming Analytics and Data Storage 76

5.6 Solution Statement - Data Visualization 77

5.7 Solution Statement - Example Data Visualizations 78

5.8 Results 79

5.9 Next Steps 79

References 80

6 Challenges and Opportunities of IoT for Defense and National Security Logistics 83
Gisele Bennett, William Crowder, and Christina Baxter

6.1 Introduction 83

6.2 Linking Industry and DoD Uses of IoT 84

6.3 Situational Awareness 85

6.4 Applications for DoD 86

6.5 Observations on the Future 93

Acknowledgement 94

References 94

7 Digital Twins for Warship Systems: Technologies, Applications and Challenges 97
Sara Ferreno-Gonzalez, Alicia Munin-Doce, Marcos Míguez González, Lucía Santiago Caamaño, and Vicente Diaz-Casas

7.1 Introduction 97

7.2 A Digital Twin Architecture for Implementation 99

7.3 Ship Digital Twin Implementation 108

References 111

Section 2 Introduction: Artificial Intelligence and IoT for Defense and National Security 115
Robert Douglass

8 Principles of Robust Learning and Inference for IoBTs 119
Nathaniel D. Bastian, Susmit Jha, Paulo Tabuada, Venugopal Veeravalli, and Gunjan Verma

8.1 Internet of Battlefield Things and Intelligence 119

8.2 Dimensions of Responsible AI 120

8.3 Detecting Surprise: Adversarial Defense and Outlier Detection