Implementing Computational Intelligence Techniques For Security Systems Design

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Implementing Computational Intelligence Techniques for Security Systems Design

Author : Albastaki, Yousif Abdullatif,Awad, Wasan
Publisher : IGI Global
Page : 332 pages
File Size : 43,5 Mb
Release : 2020-02-14
Category : Computers
ISBN : 9781799824206

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Implementing Computational Intelligence Techniques for Security Systems Design by Albastaki, Yousif Abdullatif,Awad, Wasan Pdf

Recently, cryptology problems, such as designing good cryptographic systems and analyzing them, have been challenging researchers. Many algorithms that take advantage of approaches based on computational intelligence techniques, such as genetic algorithms, genetic programming, and so on, have been proposed to solve these issues. Implementing Computational Intelligence Techniques for Security Systems Design is an essential research book that explores the application of computational intelligence and other advanced techniques in information security, which will contribute to a better understanding of the factors that influence successful security systems design. Featuring a range of topics such as encryption, self-healing systems, and cyber fraud, this book is ideal for security analysts, IT specialists, computer engineers, software developers, technologists, academicians, researchers, practitioners, and students.

Advancing Computational Intelligence Techniques for Security Systems Design

Author : Uzzal Sharma,Parmanand Astya,Anupam Baliyan,Salah-ddine Krit,Vishal Jain,Mohammad Zubair Khan
Publisher : CRC Press
Page : 157 pages
File Size : 43,9 Mb
Release : 2022-08-24
Category : Computers
ISBN : 9781000618334

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Advancing Computational Intelligence Techniques for Security Systems Design by Uzzal Sharma,Parmanand Astya,Anupam Baliyan,Salah-ddine Krit,Vishal Jain,Mohammad Zubair Khan Pdf

Security systems have become an integral part of the building and large complex setups, and intervention of the computational intelligence (CI) paradigm plays an important role in security system architecture. This book covers both theoretical contributions and practical applications in security system design by applying the Internet of Things (IoT) and CI. It further explains the application of IoT in the design of modern security systems and how IoT blended with computational intel- ligence can make any security system improved and realizable. Key features: Focuses on the computational intelligence techniques of security system design Covers applications and algorithms of discussed computational intelligence techniques Includes convergence-based and enterprise integrated security systems with their applications Explains emerging laws, policies, and tools affecting the landscape of cyber security Discusses application of sensors toward the design of security systems This book will be useful for graduate students and researchers in electrical, computer engineering, security system design and engineering.

Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities

Author : Chakraborty, Shouvik,Mali, Kalyani
Publisher : IGI Global
Page : 271 pages
File Size : 52,9 Mb
Release : 2020-03-13
Category : Computers
ISBN : 9781799827382

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Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities by Chakraborty, Shouvik,Mali, Kalyani Pdf

Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking. Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.

Applications of Artificial Intelligence in Electrical Engineering

Author : Khalid, Saifullah
Publisher : IGI Global
Page : 388 pages
File Size : 47,6 Mb
Release : 2020-03-27
Category : Technology & Engineering
ISBN : 9781799827207

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Applications of Artificial Intelligence in Electrical Engineering by Khalid, Saifullah Pdf

Artificial intelligence is increasingly finding its way into industrial and manufacturing contexts. The prevalence of AI in industry from stock market trading to manufacturing makes it easy to forget how complex artificial intelligence has become. Engineering provides various current and prospective applications of these new and complex artificial intelligence technologies. Applications of Artificial Intelligence in Electrical Engineering is a critical research book that examines the advancing developments in artificial intelligence with a focus on theory and research and their implications. Highlighting a wide range of topics such as evolutionary computing, image processing, and swarm intelligence, this book is essential for engineers, manufacturers, technology developers, IT specialists, managers, academicians, researchers, computer scientists, and students.

Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19

Author : Allam Hamdan,Aboul Ella Hassanien,Timothy Mescon,Bahaaeddin Alareeni
Publisher : Springer Nature
Page : 701 pages
File Size : 44,7 Mb
Release : 2022-02-17
Category : Computers
ISBN : 9783030939212

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Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19 by Allam Hamdan,Aboul Ella Hassanien,Timothy Mescon,Bahaaeddin Alareeni Pdf

This book aims to assess the experience of education during COVID-19 pandemic and explore the future of application of technologies and artificial intelligence in education. Education delivery requires the support of new technologies such as artificial intelligence (AI), the Internet of Things (IoT), big data, and machine learning to fight and aspire to new diseases. The academic community and those interested in education agree that education after the corona pandemic will not be the same as before. The book also questions the role of accreditation bodies (e.g., AACSB, etc.) to ensure the effectiveness and efficiency of technology tools in achieving distinguished education in times of crisis.

Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems

Author : Cheng, Shi,Shi, Yuhui
Publisher : IGI Global
Page : 482 pages
File Size : 44,8 Mb
Release : 2020-04-24
Category : Computers
ISBN : 9781799832249

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Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems by Cheng, Shi,Shi, Yuhui Pdf

The use of optimization algorithms has seen an emergence in various professional fields due to its ability to process data and information in an efficient and productive manner. Combining computational intelligence with these algorithms has created a trending subject of research on how much more beneficial intelligent-inspired algorithms can be within companies and organizations. As modern theories and applications are continually being developed in this area, professionals are in need of current research on how intelligent algorithms are advancing in the real world. TheHandbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems is a pivotal reference source that provides vital research on the development of swarm intelligence algorithms and their implementation into current issues. While highlighting topics such as multi-agent systems, bio-inspired computing, and evolutionary programming, this publication explores various concepts and theories of swarm intelligence and outlines future directions of development. This book is ideally designed for IT specialists, researchers, academicians, engineers, developers, practitioners, and students seeking current research on the real-world applications of intelligent algorithms.

IoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks

Author : Rao, Ram Shringar,Jain, Vishal,Kaiwartya, Omprakash,Singh, Nanhay
Publisher : IGI Global
Page : 339 pages
File Size : 47,8 Mb
Release : 2020-03-20
Category : Computers
ISBN : 9781799825722

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IoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks by Rao, Ram Shringar,Jain, Vishal,Kaiwartya, Omprakash,Singh, Nanhay Pdf

The optimization of traffic management operations has become a considerable challenge in today’s global scope due to the significant increase in the number of vehicles, traffic congestions, and automobile accidents. Fortunately, there has been substantial progress in the application of intelligent computing devices to transportation processes. Vehicular ad-hoc networks (VANETs) are a specific practice that merges the connectivity of wireless technologies with smart vehicles. Despite its relevance, empirical research is lacking on the developments being made in VANETs and how certain intelligent technologies are being applied within transportation systems. IoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks provides emerging research exploring the theoretical and practical aspects of intelligent transportation systems and analyzing the modern techniques that are being applied to smart vehicles through cloud technology. Featuring coverage on a broad range of topics such as health monitoring, node localization, and fault tolerance, this book is ideally designed for network designers, developers, analysists, IT specialists, computing professionals, researchers, academics, and post-graduate students seeking current research on emerging computing concepts and developments in vehicular ad-hoc networks.

Handbook of Research on Fireworks Algorithms and Swarm Intelligence

Author : Tan, Ying
Publisher : IGI Global
Page : 471 pages
File Size : 50,8 Mb
Release : 2019-12-27
Category : Computers
ISBN : 9781799816607

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Handbook of Research on Fireworks Algorithms and Swarm Intelligence by Tan, Ying Pdf

In recent years, swarm intelligence has become a popular computational approach among researchers working on optimization problems throughout the globe. Several algorithms inside swarm intelligence have been implemented due to their application to real-world issues and other advantages. A specific procedure, Fireworks Algorithm, is an emerging method that studies the explosion process of fireworks within local areas. Applications of this developing program are undiscovered, and research is necessary for scientists to fully understand the workings of this innovative system. The Handbook of Research on Fireworks Algorithms and Swarm Intelligence is a pivotal reference source that provides vital research on theory analysis, improvements, and applications of fireworks algorithm. While highlighting topics such as convergence rate, parameter applications, and global optimization analysis, this publication explores up-to-date progress on the specific techniques of this algorithm. This book is ideally designed for researchers, data scientists, mathematicians, engineers, software developers, postgraduates, and academicians seeking coverage on this evolutionary computation method.

Developing Linear Algebra Codes on Modern Processors: Emerging Research and Opportunities

Author : Catalán Pallarés, Sandra,Valero-Lara, Pedro,Toledo Díaz, Leonel Antonio,Carratalá Sáez, Rocío
Publisher : IGI Global
Page : 279 pages
File Size : 45,9 Mb
Release : 2022-10-14
Category : Mathematics
ISBN : 9781799870845

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Developing Linear Algebra Codes on Modern Processors: Emerging Research and Opportunities by Catalán Pallarés, Sandra,Valero-Lara, Pedro,Toledo Díaz, Leonel Antonio,Carratalá Sáez, Rocío Pdf

Optimized linear algebra (LA) libraries that are able to exploit the underlying hardware are always of interest in the high-performance computing community. The implementation of LA software has evolved along with computer architecture, while the specification remains unaltered almost from the beginning. It is important to differentiate between the specification of LA libraries and their implementation. Because LA libraries pursue high performance, the implementation for a given architecture needs to be optimized for it specifically. However, the type of operations included in the libraries, the input/output parameters, and the data types to be handled are common to all of them. This is why, while the specification remains constant, the implementation evolves with the creation of new architectures. Developing Linear Algebra Codes on Modern Processors: Emerging Research and Opportunities presents the main characteristics of LA libraries, showing the differences between the standards for sparse and dense versions. It further explores relevant linear algebra problems and shows, in a clear and understandable way, how to solve them using different computer architectures. Covering topics such as programming models, batched computing, and distributed memory platforms, this premier reference source is an excellent resource for programmers, computer scientists, engineers, students and faculty of higher education, librarians, researchers, and academicians.

Intelligent Security Systems

Author : Leon Reznik
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 47,9 Mb
Release : 2021-09-23
Category : Computers
ISBN : 9781119771562

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Intelligent Security Systems by Leon Reznik Pdf

INTELLIGENT SECURITY SYSTEMS Dramatically improve your cybersecurity using AI and machine learning In Intelligent Security Systems, distinguished professor and computer scientist Dr. Leon Reznik delivers an expert synthesis of artificial intelligence, machine learning and data science techniques, applied to computer security to assist readers in hardening their computer systems against threats. Emphasizing practical and actionable strategies that can be immediately implemented by industry professionals and computer device’s owners, the author explains how to install and harden firewalls, intrusion detection systems, attack recognition tools, and malware protection systems. He also explains how to recognize and counter common hacking activities. This book bridges the gap between cybersecurity education and new data science programs, discussing how cutting-edge artificial intelligence and machine learning techniques can work for and against cybersecurity efforts. Intelligent Security Systems includes supplementary resources on an author-hosted website, such as classroom presentation slides, sample review, test and exam questions, and practice exercises to make the material contained practical and useful. The book also offers: A thorough introduction to computer security, artificial intelligence, and machine learning, including basic definitions and concepts like threats, vulnerabilities, risks, attacks, protection, and tools An exploration of firewall design and implementation, including firewall types and models, typical designs and configurations, and their limitations and problems Discussions of intrusion detection systems (IDS), including architecture topologies, components, and operational ranges, classification approaches, and machine learning techniques in IDS design A treatment of malware and vulnerabilities detection and protection, including malware classes, history, and development trends Perfect for undergraduate and graduate students in computer security, computer science and engineering, Intelligent Security Systems will also earn a place in the libraries of students and educators in information technology and data science, as well as professionals working in those fields.

Improving Information Security Practices through Computational Intelligence

Author : Awad, Wasan Shaker
Publisher : IGI Global
Page : 328 pages
File Size : 42,9 Mb
Release : 2015-08-26
Category : Computers
ISBN : 9781466694279

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Improving Information Security Practices through Computational Intelligence by Awad, Wasan Shaker Pdf

The recent explosion in complex global networking architectures has spurred a concomitant rise in the need for robust information security. Further, as computing power increases exponentially with every passing year, so do the number of proposed cryptographic schemata for improving and ensuring the encryption integrity of cutting-edge infosec protocols. Improving Information Security Practices through Computational Intelligence presents an overview of the latest and greatest research in the field, touching on such topics as cryptology, stream ciphers, and intrusion detection, and providing new insights to an audience of students, teachers, and entry-level researchers working in computational intelligence, information security, and security engineering.

Applications of Computational Science in Artificial Intelligence

Author : Nayyar, Anand,Kumar, Sandeep,Agrawal, Akshat
Publisher : IGI Global
Page : 284 pages
File Size : 45,6 Mb
Release : 2022-04-22
Category : Computers
ISBN : 9781799890140

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Applications of Computational Science in Artificial Intelligence by Nayyar, Anand,Kumar, Sandeep,Agrawal, Akshat Pdf

Computational science, in collaboration with engineering, acts as a bridge between hypothesis and experimentation. It is essential to use computational methods and their applications in order to automate processes as many major industries rely on advanced modeling and simulation. Computational science is inherently interdisciplinary and can be used to identify and evaluate complicated systems, foresee their performance, and enhance procedures and strategies. Applications of Computational Science in Artificial Intelligence delivers technological solutions to improve smart technologies architecture, healthcare, and environmental sustainability. It also provides background on key aspects such as computational solutions, computation framework, smart prediction, and healthcare solutions. Covering a range of topics such as high-performance computing and software infrastructure, this reference work is ideal for software engineers, practitioners, researchers, scholars, academicians, instructors, and students.

Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection

Author : Shilpa Mahajan,Mehak Khurana,Vania Vieira Estrela
Publisher : John Wiley & Sons
Page : 373 pages
File Size : 52,8 Mb
Release : 2024-03-22
Category : Computers
ISBN : 9781394196463

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Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection by Shilpa Mahajan,Mehak Khurana,Vania Vieira Estrela Pdf

APPLYING ARTIFICIAL INTELLIGENCE IN CYBERSECURITY ANALYTICS AND CYBER THREAT DETECTION Comprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML) Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is a comprehensive look at state-of-the-art theory and practical guidelines pertaining to the subject, showcasing recent innovations, emerging trends, and concerns as well as applied challenges encountered, and solutions adopted in the fields of cybersecurity using analytics and machine learning. The text clearly explains theoretical aspects, framework, system architecture, analysis and design, implementation, validation, and tools and techniques of data science and machine learning to detect and prevent cyber threats. Using AI and ML approaches, the book offers strategic defense mechanisms for addressing malware, cybercrime, and system vulnerabilities. It also provides tools and techniques that can be applied by professional analysts to safely analyze, debug, and disassemble any malicious software they encounter. With contributions from qualified authors with significant experience in the field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection explores topics such as: Cybersecurity tools originating from computational statistics literature and pure mathematics, such as nonparametric probability density estimation, graph-based manifold learning, and topological data analysis Applications of AI to penetration testing, malware, data privacy, intrusion detection system (IDS), and social engineering How AI automation addresses various security challenges in daily workflows and how to perform automated analyses to proactively mitigate threats Offensive technologies grouped together and analyzed at a higher level from both an offensive and defensive standpoint Providing detailed coverage of a rapidly expanding field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is an essential resource for a wide variety of researchers, scientists, and professionals involved in fields that intersect with cybersecurity, artificial intelligence, and machine learning.

Research Anthology on Artificial Neural Network Applications

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1575 pages
File Size : 44,7 Mb
Release : 2021-07-16
Category : Computers
ISBN : 9781668424094

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Research Anthology on Artificial Neural Network Applications by Management Association, Information Resources Pdf

Artificial neural networks (ANNs) present many benefits in analyzing complex data in a proficient manner. As an effective and efficient problem-solving method, ANNs are incredibly useful in many different fields. From education to medicine and banking to engineering, artificial neural networks are a growing phenomenon as more realize the plethora of uses and benefits they provide. Due to their complexity, it is vital for researchers to understand ANN capabilities in various fields. The Research Anthology on Artificial Neural Network Applications covers critical topics related to artificial neural networks and their multitude of applications in a number of diverse areas including medicine, finance, operations research, business, social media, security, and more. Covering everything from the applications and uses of artificial neural networks to deep learning and non-linear problems, this book is ideal for computer scientists, IT specialists, data scientists, technologists, business owners, engineers, government agencies, researchers, academicians, and students, as well as anyone who is interested in learning more about how artificial neural networks can be used across a wide range of fields.

Interactivity and the Future of the Human-Computer Interface

Author : Isaias, Pedro,Blashki, Katherine
Publisher : IGI Global
Page : 354 pages
File Size : 53,9 Mb
Release : 2020-03-27
Category : Computers
ISBN : 9781799826392

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Interactivity and the Future of the Human-Computer Interface by Isaias, Pedro,Blashki, Katherine Pdf

The usability and design in technological systems is imperative due to their abundance in numerous professional industries. Computer interfaces have seen significant advancement in their design and development as they have become an integral part of today’s society. As humans continue to interact with technology on a regular basis, it is essential for professionals, professors, and students to keep pace with innovative research on interface design and the various applications interfaces have in professional fields. Interactivity and the Future of the Human-Computer Interface is a collection of innovative research on the development and application of interfaces in today’s modern society and the generational implications for design of human and technology interaction. While highlighting topics including digital gaming, augmented reality, and e-learning, this book is ideally designed for educators, developers, web designers, researchers, technology specialists, scientists, and students seeking current research on modern advancements and applications in human-computer interaction.