Nour Moustafa's Books

Digital Forensics in the Era of Artificial Intelligence

By: Nour Moustafa

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Digital Forensics in the Era of Artificial Intelligence

By: Nour Moustafa

Digital forensics plays a crucial role in identifying, analysing, and presenting cyber threats as evidence in a court of law. Artificial intelligence, particularly machine learning and deep learning, enables automation of the digital investigation process. This book provides an in-depth look at the fundamental and advanced methods in digital forensics. It also discusses how machine learning and deep learning algorithms can be used to detect and investigate cybercrimes. This book demonstrates digital forensics and cyber-investigating techniques with real-world applications. It examines hard disk analytics and style architectures, including Master Boot Record and GUID Partition Table as part of the investigative process. It also covers cyberattack analysis in Windows, Linux, and network systems using virtual machines in real-world scenarios. Digital Forensics in the Era of Artificial Intelligence will be helpful for those interested in digital forensics and using machine learning techniques in the investigation of cyberattacks and the detection of evidence in cybercrimes.

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Page Count

257

Publisher

CRC Press

Published Date

ISBN 10

1000598497

ISBN 13

9781000598490

Deep Learning Approaches for Security Threats in IoT Environments

By: Mohamed Abdel-Basset,Nour Moustafa,Hossam Hawash

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Deep Learning Approaches for Security Threats in IoT Environments

By: Mohamed Abdel-Basset,Nour Moustafa,Hossam Hawash

Deep Learning Approaches for Security Threats in IoT Environments An expert discussion of the application of deep learning methods in the IoT security environment In Deep Learning Approaches for Security Threats in IoT Environments, a team of distinguished cybersecurity educators deliver an insightful and robust exploration of how to approach and measure the security of Internet-of-Things (IoT) systems and networks. In this book, readers will examine critical concepts in artificial intelligence (AI) and IoT, and apply effective strategies to help secure and protect IoT networks. The authors discuss supervised, semi-supervised, and unsupervised deep learning techniques, as well as reinforcement and federated learning methods for privacy preservation. This book applies deep learning approaches to IoT networks and solves the security problems that professionals frequently encounter when working in the field of IoT, as well as providing ways in which smart devices can solve cybersecurity issues. Readers will also get access to a companion website with PowerPoint presentations, links to supporting videos, and additional resources. They’ll also find: A thorough introduction to artificial intelligence and the Internet of Things, including key concepts like deep learning, security, and privacy Comprehensive discussions of the architectures, protocols, and standards that form the foundation of deep learning for securing modern IoT systems and networks In-depth examinations of the architectural design of cloud, fog, and edge computing networks Fulsome presentations of the security requirements, threats, and countermeasures relevant to IoT networks Perfect for professionals working in the AI, cybersecurity, and IoT industries, Deep Learning Approaches for Security Threats in IoT Environments will also earn a place in the libraries of undergraduate and graduate students studying deep learning, cybersecurity, privacy preservation, and the security of IoT networks.

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Page Count

388

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119884144

ISBN 13

9781119884149

Deep Learning Techniques for IoT Security and Privacy

By: Mohamed Abdel-Basset,Nour Moustafa,Hossam Hawash,Weiping Ding

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Deep Learning Techniques for IoT Security and Privacy

By: Mohamed Abdel-Basset,Nour Moustafa,Hossam Hawash,Weiping Ding

This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.

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Page Count

273

Publisher

Springer Nature

Published Date

ISBN 10

3030890252

ISBN 13

9783030890254

Digital Forensics in the Era of Artificial Intelligence

By: Nour Moustafa

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Digital Forensics in the Era of Artificial Intelligence

By: Nour Moustafa

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257

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CRC Press

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ISBN 10

1000598497

ISBN 13

9781000598490

Biodesulfurization in Petroleum Refining

By: Nour Shafik El-Gendy,Hussein Mohamed Nabil Nassar

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Biodesulfurization in Petroleum Refining

By: Nour Shafik El-Gendy,Hussein Mohamed Nabil Nassar

From basic tenets to the latest advances, this is the most comprehensive and up-to-date coverage of the process of biodesulfurization in the petroleum refining industry. Petroleum refining and process engineering is constantly changing. No new refineries are being built, but companies all over the world are still expanding or re-purposing huge percentages of their refineries every year, year after year. Rather than building entirely new plants, companies are spending billions of dollars in the research and development of new processes that can save time and money by being more efficient and environmentally safer. Biodesulfurization is one of those processes, and nowhere else it is covered more thoroughly or with more up-to-date research of the new advances than in this new volume from Wiley-Scrivener. Besides the obvious benefits to biodesulfurization, there are new regulations in place within the industry with which companies will, over the next decade or longer, spend literally tens, if not hundreds, of billions of dollars to comply. Whether for the veteran engineer needing to update his or her library, the beginning engineer just learning about biodesulfurization, or even the student in a chemical engineering class, this outstanding new volume is a must-have. Especially it covers also the bioupgrading of crude oil and its fractions, biodenitrogenation technology and application of nanotechnology on both biodesulfurization and biodenitrogenation technologies.

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Page Count

1132

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119224101

ISBN 13

9781119224105

Introduction to Petroleum Biotechnology

By: James G. Speight,Nour Shafik El-Gendy

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Introduction to Petroleum Biotechnology

By: James G. Speight,Nour Shafik El-Gendy

Introduction to Petroleum Biotechnology introduces the petroleum engineer to biotechnology, bringing together the various biotechnology methods that are applied to recovery, refining and remediation in the uses of petroleum and petroleum products. A significant amount of petroleum is undiscoverable in reservoirs today using conventional and secondary methods. This reference explains how microbial enhanced oil recovery is aiding to produce more economical and environmentally-friendly metabolic events that lead to improved oil recovery. Meanwhile, in the downstream side of the industry, petroleum refining operators are facing the highest levels of environmental regulations while struggling to process more of the heavier crude oils since conventional physical and chemical refining techniques may not be applicable to heavier crudes. This reference proposes to the engineer and refining manager the concepts of bio-refining applications to not only render heavier crudes as lighter crudes through microbial degradation, but also through biodenitrogenation, biodemetallization and biodesulfurization, making more petroleum derivatives purified and upgraded without the release of more pollutants. Equipped for both upstream and downstream to learn the basics, this book is a necessary primer for today's petroleum engineer. - Presents the fundamentals behind petroleum biotechnology for both upstream and downstream oil and gas operations - Provides the latest technology in reservoir recovery using microbial enhanced oil recovery methods - Helps readers gain insight into the current and future application of using biotechnology as a refining and fuel blending method for heavy oil and tar sands

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Page Count

568

Publisher

Gulf Professional Publishing

Published Date

ISBN 10

0128052880

ISBN 13

9780128052884

Petroleum Nanobiotechnology

Modern Applications for a Sustainable Future

By: Nour Shafik El-Gendy,Hussein Nabil Nassar,James G. Speight

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Petroleum Nanobiotechnology

Modern Applications for a Sustainable Future

By: Nour Shafik El-Gendy,Hussein Nabil Nassar,James G. Speight

This book, Petroleum Nanobiotechnology: Modern Applications for a Sustainable Future, explores the unique fusion of biotechnology and nanotechnology as applied to the different sectors of the oil and gas industry. It is a concise resource on the most recent and most up-to-date bottom-up fabrication techniques in petroleum nanobiotechnology, covering the advantages of biofabrication over chemical or physical techniques from the point of being more cost-effective, ecofriendly, biocompatibly superior, and highly stable. The volume covers the important topic of microbial and phytosynthesis of metal and metal oxide nanoparticles. The key applications discussed here include the application of these nanoparticles in different sectors of the oil and gas industry, with special emphasis on antimicrobial applications, reduction of environmental pollutants, and bio-upgrading of petroleum and its fractions. The discussion of each application is augmented with a critical review of the potential for continued development. The book first provides an overview of petroleum microbiology and nanotechnology and proceeds to consider phytosynthesis of metal nanoparticles, microbial synthesis of metal nanoparticles, biosynthesis of metal oxide nanoparticles, nanobiotechnology and mitigation of microbial-influenced corrosion in petroleum industry, applications of nanobiotechnology in petroleum refining, and how nanobiotechnology can be used for petroleum wastewater treatment. This book covers the very important principle of nanobiotechnology as applied in the petroleum industry and how it can be used for: Oil recovery Microbial enhanced oil recovery Petroleum refinery, such as, for example, desulfurization, denitrogenation, demetallization, biotransformation, and bio-upgrading Bioremediation of oil polluted soil and water Mitigation of microbial corrosion and bio-fouling Toxicity of nano-materials and its obstacles upon application Nanobiotechnology in petroleum industry and the 17 goals of sustainable development The advantages of the application of nanobiotechnology in the oil industries are enormous and clearly outweigh any negligible cons. The success can have a huge impact on the exploration, production, refining, mitigation of corrosion, waste management, and economics. This informative volume will be valuable for petroleum engineers and petroleum microbiologists, scientists, and researchers concerned with nanotechnology, environmental pollution, petroleum biotechnology, petroleum microbiology, petroleum refining, and the petroleum industry in general.

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Page Count

494

Publisher

CRC Press

Published Date

ISBN 10

1000368513

ISBN 13

9781000368512

Responsible Graph Neural Networks

By: Mohamed Abdel-Basset,Nour Moustafa,Hossam Hawash,Zahir Tari

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Responsible Graph Neural Networks

By: Mohamed Abdel-Basset,Nour Moustafa,Hossam Hawash,Zahir Tari

More frequent and complex cyber threats require robust, automated, and rapid responses from cyber-security specialists. This book offers a complete study in the area of graph learning in cyber, emphasizing graph neural networks (GNNs) and their cyber-security applications. Three parts examine the basics, methods and practices, and advanced topics. The first part presents a grounding in graph data structures and graph embedding and gives a taxonomic view of GNNs and cyber-security applications. The second part explains three different categories of graph learning, including deterministic, generative, and reinforcement learning and how they can be used for developing cyber defense models. The discussion of each category covers the applicability of simple and complex graphs, scalability, representative algorithms, and technical details. Undergraduate students, graduate students, researchers, cyber analysts, and AI engineers looking to understand practical deep learning methods will find this book an invaluable resource.

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Page Count

324

Publisher

CRC Press

Published Date

ISBN 10

1000871177

ISBN 13

9781000871173

Deep Learning Techniques for IoT Security and Privacy

By: Mohamed Abdel-Basset,Nour Moustafa,Hossam Hawash,Weiping Ding

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Deep Learning Techniques for IoT Security and Privacy

By: Mohamed Abdel-Basset,Nour Moustafa,Hossam Hawash,Weiping Ding

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Solve jigsaw puzzle

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Page Count

273

Publisher

Springer Nature

Published Date

ISBN 10

3030890252

ISBN 13

9783030890254

Book's by Nour Moustafa

Digital Forensics in the Era of Artificial Intelligence

Digital Forensics in the Era of Artificial Intelligence

Deep Learning Approaches for Security Threats in IoT Environments

Deep Learning Approaches for Security Threats in IoT Environments

Deep Learning Techniques for IoT Security and Privacy

Deep Learning Techniques for IoT Security and Privacy

Digital Forensics in the Era of Artificial Intelligence

Digital Forensics in the Era of Artificial Intelligence

Biodesulfurization in Petroleum Refining

Biodesulfurization in Petroleum Refining

Introduction to Petroleum Biotechnology

Introduction to Petroleum Biotechnology

Petroleum Nanobiotechnology

Petroleum Nanobiotechnology

Responsible Graph Neural Networks

Responsible Graph Neural Networks

Deep Learning Techniques for IoT Security and Privacy

Deep Learning Techniques for IoT Security and Privacy

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