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Cybersecurity measures for logistics industry framework

Record Type:	Electronic resources : Monograph/item
Title/Author:	Cybersecurity measures for logistics industry frameworkNoor Zaman Jhanjhi, Imdad Ali Shah, editors.
other author:	Zaman, Noor,
Published:	Hershey, Pennsylvania :IGI Global,2024.
Description:	1 online resource (418 p.)
Subject:	Computer security.
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-7625-3
ISBN:	9781668476277$q(ebook)

Cybersecurity measures for logistics industry framework
Cybersecurity measures for logistics industry framework[electronic resource] /Noor Zaman Jhanjhi, Imdad Ali Shah, editors. - Hershey, Pennsylvania :IGI Global,2024. - 1 online resource (418 p.)

Includes bibliographical references and index.

Chapter 1. Risk management and cybersecurity in transportation and warehousing -- Chapter 2. Detecting cyber threats with a graph-based NIDPS -- Chapter 3. A distributed model for IoT anomaly detection using federated learning -- Chapter 4. Network intrusion detection to mitigate jamming and spoofing attacks using federated leading: a comprehensive survey -- Chapter 5. IoT security, future challenges, and open issues -- Chapter 6. Enhancing identification of IoT anomalies in smart homes using secure blockchain technology -- Chapter 7. Securing the digital supply chain cyber threats and vulnerabilities -- Chapter 8. Internet of things (IoT) impact on inventory management: a review -- Chapter 9. Applications of blockchain technology in supply chain management -- Chapter 10. The internet of things (IoT) applications in inventory management through supply chain -- Chapter 11. QR multilevel codes to reduce cybersecurity risks in the logistics of freight transport in ports.

"Global supply chains are becoming more customer-centric and sustainable thanks to next-generation logistics management technologies. Automating logistics procedures greatly increases the productivity and efficiency of the workflow.There is a need, however, to create flexible and dynamic relationships among numerous stakeholders and the transparency and traceability of the supply chain. The digitalization of the supply chain process has improved these relationships and transparency; however, it has also created opportunities for cybercriminals to attack the logistics industry.Cybersecurity Measures for Logistics Industry Framework discusses the environment of the logistics industry in the context of newtechnologies and cybersecurity measures. Covering topics such as AI applications, inventory management, and sustainable computing, this premier reference source is an excellent resource for business leaders, IT managers, security experts,students and educators of higher education, librarians, researchers, and academicians."--

ISBN: 9781668476277$q(ebook)Subjects--Topical Terms:

184416
Computer security.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: HF5548.37 / .C93 2024e

Dewey Class. No.: 658.4/78

Cybersecurity measures for logistics industry framework
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245 0 0 $a Cybersecurity measures for logistics industry framework $h [electronic resource] / $c Noor Zaman Jhanjhi, Imdad Ali Shah, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2024.
300 $a 1 online resource (418 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Risk management and cybersecurity in transportation and warehousing -- Chapter 2. Detecting cyber threats with a graph-based NIDPS -- Chapter 3. A distributed model for IoT anomaly detection using federated learning -- Chapter 4. Network intrusion detection to mitigate jamming and spoofing attacks using federated leading: a comprehensive survey -- Chapter 5. IoT security, future challenges, and open issues -- Chapter 6. Enhancing identification of IoT anomalies in smart homes using secure blockchain technology -- Chapter 7. Securing the digital supply chain cyber threats and vulnerabilities -- Chapter 8. Internet of things (IoT) impact on inventory management: a review -- Chapter 9. Applications of blockchain technology in supply chain management -- Chapter 10. The internet of things (IoT) applications in inventory management through supply chain -- Chapter 11. QR multilevel codes to reduce cybersecurity risks in the logistics of freight transport in ports.
520 3 $a "Global supply chains are becoming more customer-centric and sustainable thanks to next-generation logistics management technologies. Automating logistics procedures greatly increases the productivity and efficiency of the workflow.There is a need, however, to create flexible and dynamic relationships among numerous stakeholders and the transparency and traceability of the supply chain. The digitalization of the supply chain process has improved these relationships and transparency; however, it has also created opportunities for cybercriminals to attack the logistics industry.Cybersecurity Measures for Logistics Industry Framework discusses the environment of the logistics industry in the context of newtechnologies and cybersecurity measures. Covering topics such as AI applications, inventory management, and sustainable computing, this premier reference source is an excellent resource for business leaders, IT managers, security experts,students and educators of higher education, librarians, researchers, and academicians."-- $c Provided by publisher.
650 0 $a Computer security. $3 184416
650 0 $a Business logistics. $3 199351
650 0 $a Data protection. $3 202312
650 0 $a Inventory control. $3 203224
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Zaman, Noor, $d 1972- $3 582137
700 1 $a Shah, Imdad Ali, $d 1975-eeditor. $3 974306
710 2 $a IGI Global. $3 529832
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-7625-3