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Showing 1 - 12 of 12 results for “nour moustafa”
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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 ... Read more

    $68.99 USD

  • Next-Generation Enterprise Security and Governance

    Edited by Mohiuddin Ahmed, Nour Moustafa, Abu Barkat, Paul Haskell-Dowland ...
    Series series Security, Audit and Leadership Series
    The Internet is making our daily lives as digital as possible, and this new era is called the Internet of Everything (IoE). The key force behind the rapid growth of the Internet is the technological advancement of enterprises. The digital world we live in is facilitated by these enterprises’ advances and business intelligence. These enterprises need to deal with gazillions of bytes of data, and in ... Read more

    $65.99 USD

  • 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 EnvironmentsAn expert discussion of the application of deep learning methods in the IoT security environmentIn 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) ... Read more

    $124.00 USD

  • 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 ... Read more

    $70.99 USD

  • Deep Learning Techniques for IoT Security and Privacy

    by Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding ...
    Series series Intelligent Technologies and Robotics (R0)
    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 ... Read more

    $152.09 USD

  • Explainable Artificial Intelligence for Cyber Security

    Next Generation Artificial Intelligence

    Edited by Mohiuddin Ahmed, Sheikh Rabiul Islam, Adnan Anwar, Nour Moustafa, Al-Sakib Khan Pathan ...
    Series series Intelligent Technologies and Robotics (R0)
    This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms which work as a black box as of today. To understand the algorithms better and interpret the complex networks of these algorithms, XAI plays a vital role. In last few decades, we have embraced AI in our daily life to solve a plethora of ... Read more

    $152.09 USD

  • AI 2020: Advances in Artificial Intelligence

    33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29–30, 2020, Proceedings

    Edited by Marcus Gallagher, Nour Moustafa, Erandi Lakshika ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the proceedings of the 33rd Australasian Joint Conference on Artificial Intelligence, AI 2020, held in Canberra, ACT, Australia, in November 2020.*The 36 full papers presented in this volume were carefully reviewed and selected from 57 submissions. The paper were organized in topical sections named: applications; evolutionary computation; fairness and ethics; games and swarms ... Read more

    $80.09 USD

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  • Future Network Systems and Security

    Second International Conference, FNSS 2016, Paris, France, November 23-25, 2016, Proceedings

    Edited by Robin Doss, Selwyn Piramuthu, Wei Zhou ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the Second International Conference on Future Network Systems and Security, FNSS 2016, held in Paris, France, in November 2016.The 12 full papers and one short paper presented were carefully reviewed and selected from 34 submissions. The papers focus on the technology, communications, systems and security aspects of relevance to the network of the ... Read more

    $49.49 USD

  • Learning Deep Learning

    Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

    by Magnus Ekman ...
    NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results"To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals."-- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA"Ekman uses a ... Read more

    $52.19 USD

  • Cyber Physical Systems. Design, Modeling, and Evaluation

    5th International Workshop, CyPhy 2015, Amsterdam, The Netherlands, October 8, 2015, Proceedings

    Edited by Mohammad Reza Mousavi, Christian Berger ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the proceedings of the 5th International Workshop on Design, Modeling, and Evaluation of Cyber Physical Systems, CyPhy 2015, held as part of ESWeek 2015, in Amsterdam, The Netherlands, in October 2015.The 10 papers presented in this volume were carefully reviewed and selected from 13 submissions. They broadly interpret, from a diverse set of disciplines, the modeling, ... Read more

    $40.49 USD

  • Deep Learning for Beginners

    A beginner's guide to getting up and running with deep learning from scratch using Python

    by Dr. Pablo Rivas ...
    Implement supervised, unsupervised, and generative deep learning (DL) models using Keras and Dopamine with TensorFlowKey FeaturesUnderstand the fundamental machine learning concepts useful in deep learningLearn the underlying mathematical concepts as you implement deep learning models from scratchExplore easy-to-understand examples and use cases that will help you build a solid foundation in ... Read more

    $27.89 USD or Free with Kobo Plus

  • Deep Learning for Security and Privacy Preservation in IoT

    Edited by Aaisha Makkar, Neeraj Kumar ...
    Series series Signals and Communication Technology
    This book addresses the issues with privacy and security in Internet of things (IoT) networks which are susceptible to cyber-attacks and proposes deep learning-based approaches using artificial neural networks models to achieve a safer and more secured IoT environment. Due to the inadequacy of existing solutions to cover the entire IoT network security spectrum, the book utilizes artificial neural ... Read more

    $188.09 USD