The integration of emerging technologies, such as artificial intelligence (AI), machine learning (ML), and blockchain, in software development enhance the potential of software systems. For organizations, this can impact the efficiency of processes, automating their systems and increasing their cyber resilience. As a result, they have the ability to revolutionize healthcare systems, security systems, communication systems, and more. These emerging technologies, thus, may improve human-computer interaction and enhance information security for users. Modern Insights on Smart and Secure Software Development provides some best practices for creating intelligent and secure software applications. It explores the latest methodologies, tools, and techniques for integrating smart features and robust security measures into software projects. Covering topics such as vulnerability management, regression test selection approaches, and deep neural networks (DNNs), this book is an excellent resource for software developers, cybersecurity professionals, computer engineers, professionals, researchers, scholars, academicians, and more.
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Qasem Abu Al-Haija received his Ph.D. from Tennessee State University (TSU), USA, in 2020. He is an Assistant Professor at the Department of Cybersecurity, Faculty of Computer & Information Technology, Jordan University of Science and Technology, Irbid, Jordan. He authorizes more than 250 scientific research papers and book chapters. His research interests include Artificial Intelligence (AI), Cybersecurity and Cryptography, the Internet of Things (IoT), Cyber-Physical Systems (CPS), Time Series Analysis (TSA), and Computer Arithmetic. Recently, he was listed as one of the world's top 2% of scientists list released publicly by Stanford University and Elsevier Publisher.
Mahmoud Hammad is an Associate Professor in the Department of Information Technology within the College of Engineering and Information Technology at Ajman University. Before joining Ajman University, Dr. Hammad worked as Associate Professor in the Software Engineering Department within the Computer and Information Technology School at the Jordan University of Science and Technology (JUST). He also served as the director of the Center for E-Learning and Open Educational Resources at JUST. Hammad's research interests are in the field of software engineering, specifically in the area of software architecture, self-adaptive software systems, mobile computing, software analysis, software security, natural language processing and machine learning. Hammad received his Ph.D. in Software Engineering from the University of California, Irvine (UCI) under the supervision of Prof. Sam Malek . During his Ph.D., Hammad developed a self-protecting Android software system, an Android software system that can monitor itself and adapt (change) its behavior at runtime to keep the system secure and protected from Inter-Component Communication attacks at all times. Hammad received his M.S. in Software Engineering from George Mason University, VA, USA and B.S. in Computer Science from Yarmouk University, Jordan . Hammad is a member of the Association of Computing Machinery (ACM), ACM Special Interest Group on Software Engineering (SIGSOFT), and the Institute of Electrical and Electronics Engineers (IEEE).
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Paperback. Zustand: new. Paperback. The integration of emerging technologies, such as artificial intelligence (AI), machine learning (ML), and blockchain, in software development enhance the potential of software systems. For organizations, this can impact the efficiency of processes, automating their systems and increasing their cyber resilience. As a result, they have the ability to revolutionize healthcare systems, security systems, communication systems, and more. These emerging technologies, thus, may improve human-computer interaction and enhance information security for users. Modern Insights on Smart and Secure Software Development provides some best practices for creating intelligent and secure software applications. It explores the latest methodologies, tools, and techniques for integrating smart features and robust security measures into software projects. Covering topics such as vulnerability management, regression test selection approaches, and deep neural networks (DNNs), this book is an excellent resource for software developers, cybersecurity professionals, computer engineers, professionals, researchers, scholars, academicians, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798369398524
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