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Author: Raj, Alex Noel Joseph Publisher: IGI Global ISBN: 1668445603 Category : Law Languages : en Pages : 293
Book Description
It is crucial that forensic science meets challenges such as identifying hidden patterns in data, validating results for accuracy, and understanding varying criminal activities in order to be authoritative so as to hold up justice and public safety. Artificial intelligence, with its potential subsets of machine learning and deep learning, has the potential to transform the domain of forensic science by handling diverse data, recognizing patterns, and analyzing, interpreting, and presenting results. Machine Learning and deep learning frameworks, with developed mathematical and computational tools, facilitate the investigators to provide reliable results. Further study on the potential uses of these technologies is required to better understand their benefits. Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks provides an outline of deep learning and machine learning frameworks and methods for use in forensic science to produce accurate and reliable results to aid investigation processes. The book also considers the challenges, developments, advancements, and emerging approaches of deep learning and machine learning. Covering key topics such as biometrics, augmented reality, and fraud investigation, this reference work is crucial for forensic scientists, law enforcement, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students.
Author: Raj, Alex Noel Joseph Publisher: IGI Global ISBN: 1668445603 Category : Law Languages : en Pages : 293
Book Description
It is crucial that forensic science meets challenges such as identifying hidden patterns in data, validating results for accuracy, and understanding varying criminal activities in order to be authoritative so as to hold up justice and public safety. Artificial intelligence, with its potential subsets of machine learning and deep learning, has the potential to transform the domain of forensic science by handling diverse data, recognizing patterns, and analyzing, interpreting, and presenting results. Machine Learning and deep learning frameworks, with developed mathematical and computational tools, facilitate the investigators to provide reliable results. Further study on the potential uses of these technologies is required to better understand their benefits. Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks provides an outline of deep learning and machine learning frameworks and methods for use in forensic science to produce accurate and reliable results to aid investigation processes. The book also considers the challenges, developments, advancements, and emerging approaches of deep learning and machine learning. Covering key topics such as biometrics, augmented reality, and fraud investigation, this reference work is crucial for forensic scientists, law enforcement, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students.
Author: Misra, Sanjay Publisher: IGI Global ISBN: 1799849015 Category : Law Languages : en Pages : 248
Book Description
Developing a knowledge model helps to formalize the difficult task of analyzing crime incidents in addition to preserving and presenting the digital evidence for legal processing. The use of data analytics techniques to collect evidence assists forensic investigators in following the standard set of forensic procedures, techniques, and methods used for evidence collection and extraction. Varieties of data sources and information can be uniquely identified, physically isolated from the crime scene, protected, stored, and transmitted for investigation using AI techniques. With such large volumes of forensic data being processed, different deep learning techniques may be employed. Confluence of AI, Machine, and Deep Learning in Cyber Forensics contains cutting-edge research on the latest AI techniques being used to design and build solutions that address prevailing issues in cyber forensics and that will support efficient and effective investigations. This book seeks to understand the value of the deep learning algorithm to handle evidence data as well as the usage of neural networks to analyze investigation data. Other themes that are explored include machine learning algorithms that allow machines to interact with the evidence, deep learning algorithms that can handle evidence acquisition and preservation, and techniques in both fields that allow for the analysis of huge amounts of data collected during a forensic investigation. This book is ideally intended for forensics experts, forensic investigators, cyber forensic practitioners, researchers, academicians, and students interested in cyber forensics, computer science and engineering, information technology, and electronics and communication.
Author: Ruth, J. Anitha Publisher: IGI Global ISBN: Category : Computers Languages : en Pages : 313
Book Description
Data security is paramount in our modern world, and the symbiotic relationship between machine learning and cryptography has recently taken center stage. The vulnerability of traditional cryptosystems to human error and evolving cyber threats is a pressing concern. The stakes are higher than ever, and the need for innovative solutions to safeguard sensitive information is undeniable. Innovative Machine Learning Applications for Cryptography emerges as a steadfast resource in this landscape of uncertainty. Machine learning's prowess in scrutinizing data trends, identifying vulnerabilities, and constructing adaptive analytical models offers a compelling solution. The book explores how machine learning can automate the process of constructing analytical models, providing a continuous learning mechanism to protect against an ever-increasing influx of data. This book goes beyond theoretical exploration, and provides a comprehensive resource designed to empower academic scholars, specialists, and students in the fields of cryptography, machine learning, and network security. Its broad scope encompasses encryption, algorithms, security, and more unconventional topics like Quantum Cryptography, Biological Cryptography, and Neural Cryptography. By examining data patterns and identifying vulnerabilities, it equips its readers with actionable insights and strategies that can protect organizations from the dire consequences of security breaches.
Author: Elshenraki, Hossam Nabil Publisher: IGI Global ISBN: Category : Computers Languages : en Pages : 306
Book Description
As the metaverse rapidly evolves, a comprehensive examination of the emerging threats and challenges is imperative. In the groundbreaking exploration within Forecasting Cyber Crimes in the Age of the Metaverse, the intersection of technology, crime, and law enforcement is investigated, and it provides valuable insights into the potential risks and strategies for combating cybercrimes in the metaverse. Drawing upon research and scientific methodologies, this book employs a forward-thinking approach to anticipate the types of crimes that may arise in the metaverse. It addresses various aspects of cybercrime, including crimes against children, financial fraud, ransomware attacks, and attacks on critical infrastructure. The analysis extends to the protection of intellectual property rights and the criminal methods employed against metaverse assets. By forecasting the future of cybercrimes and cyber warfare in the metaverse, this book equips law enforcement agencies, policymakers, and companies with essential knowledge to develop effective strategies and countermeasures. It explores the potential impact of cybercrime on police capabilities and provides valuable insights into the planning and preparedness required to mitigate these threats.
Author: Rakha, Allah Publisher: IGI Global ISBN: 1668483270 Category : Law Languages : en Pages : 397
Book Description
Nanotechnology continues to contribute to the progress of innovations in the area of forensic science ranging from sensing, DNA monitoring, and counterfeiting to fingerprinting. In recent years, functional nanomaterials are widely applied in nanoscience and forensic investigation. They can be used in future interdisciplinary research by scientists, engineers, and biotechnologists. Modeling and Simulation of Functional Nanomaterials for Forensic Investigation focuses on multiple applications related to forensics and provides information linked with nanoparticles. This book provides nanotechnology results in improving the sensitivity of established forensic techniques. It further focuses on different fabrication and characterization techniques of nanomaterials and relates their characteristics with forensic applications. Covering topics such as explosive detection, nano-forensic testing, and nano-trackers, this premier reference source is a comprehensive resource for material engineers, chemical engineers, nanotechnologists, biotechnologists, forensic scientists, students and educators of higher education, researchers, and academicians.
Author: Uddin, M. Irfan Publisher: IGI Global ISBN: Category : Computers Languages : en Pages : 307
Book Description
The applications of rapidly advancing intelligent systems are so varied that many are still yet to be discovered. There is often a disconnect between experts in computer science, artificial intelligence, machine learning, robotics, and other specialties, which inhibits the potential for the expansion of this technology and its many benefits. A resource that encourages interdisciplinary collaboration is needed to bridge the gap between these respected leaders of their own fields. Deep Learning, Reinforcement Learning, and the Rise of Intelligent Systems represents an exploration of the forefront of artificial intelligence, navigating the complexities of this field and its many applications. This guide expertly navigates through the intricate domains of deep learning and reinforcement learning, offering an in-depth journey through foundational principles, advanced methodologies, and cutting-edge algorithms shaping the trajectory of intelligent systems. The book covers an introduction to artificial intelligence and its subfields, foundational aspects of deep learning, a demystification of the architecture of neural networks, the mechanics of backpropagation, and the intricacies of critical elements such as activation and loss functions. The book serves as a valuable educational resource for professionals. Its structured approach makes it an ideal reference for students, researchers, and industry professionals.
Author: Mateus-Coelho, Nuno Publisher: IGI Global ISBN: 1668484242 Category : Computers Languages : en Pages : 340
Book Description
In recent years, industries have shifted into the digital domain, as businesses and organizations have used various forms of technology to aid information storage and efficient production methods. Because of these advances, the risk of cybercrime and data security breaches has skyrocketed. Fortunately, cyber security and data privacy research are thriving; however, industry experts must keep themselves updated in this field. Exploring Cyber Criminals and Data Privacy Measures collects cutting-edge research on information security, cybercriminals, and data privacy. It proposes unique strategies for safeguarding and preserving digital information using realistic examples and case studies. Covering key topics such as crime detection, surveillance technologies, and organizational privacy, this major reference work is ideal for cybersecurity professionals, researchers, developers, practitioners, programmers, computer scientists, academicians, security analysts, educators, and students.
Author: Chitadze, Nika Publisher: IGI Global ISBN: 1668488477 Category : Computers Languages : en Pages : 315
Book Description
Cyber-attacks significantly impact all sectors of the economy, reduce public confidence in e-services, and threaten the development of the economy using information and communication technologies. The security of information systems and electronic services is crucial to each citizen's social and economic well-being, health, and life. As cyber threats continue to grow, developing, introducing, and improving defense mechanisms becomes an important issue. Cyber Security Policies and Strategies of the World's Leading States is a comprehensive book that analyzes the impact of cyberwarfare on world politics, political conflicts, and the identification of new types of threats. It establishes a definition of civil cyberwarfare and explores its impact on political processes. This book is essential for government officials, academics, researchers, non-government organization (NGO) representatives, mass-media representatives, business sector representatives, and students interested in cyber warfare, cyber security, information security, defense and security, and world political issues. With its comprehensive coverage of cyber security policies and strategies of the world's leading states, it is a valuable resource for those seeking to understand the evolving landscape of cyber security and its impact on global politics. It provides methods to identify, prevent, reduce, and eliminate existing threats through a comprehensive understanding of cyber security policies and strategies used by leading countries worldwide.
Author: Özsungur, Fahri Publisher: IGI Global ISBN: 1668467429 Category : Technology & Engineering Languages : en Pages : 490
Book Description
In the new world order, conflicts between countries are increasing. Fluctuations in the economy and imbalances in the distribution of scarce resources to developing countries can result in wars. The effect of the recent COVID-19 pandemic and economic crisis has caused changes in the strategies and policies of countries. Technological changes and developments have also triggered cyber wars. Despite this, many countries prefer to fight on the field. The damage to the international economy of wars, which kills civilians and causes serious damage to developing countries, is a current issue. The Handbook of Research on War Policies, Strategies, and Cyber Wars examines the factors that lead to war and the damages caused by war strategies and policies. It is a guide for future generations to develop constructive policies and strategies for living in a peaceful world. Covering topics such as geopolitical consequences, civil liberty, and terrorism, this major reference work is a dynamic resource for policymakers, strategists, government officials, politicians, sociologists, students and educators of higher education, librarians, researchers, and academicians.
Author: D. Jude Hemanth Publisher: Elsevier ISBN: 0443140006 Category : Computers Languages : en Pages : 350
Book Description
Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images comprehensively examines the wide range of AI-based mammogram analysis methods for medical applications. Beginning with an introductory overview of mammogram data analysis, the book covers the current technologies such as ultrasound, molecular breast imaging (MBI), magnetic resonance (MR), and Positron Emission mammography (PEM), as well as the recent advancements in 3D breast tomosynthesis and 4D mammogram. Deep learning models are presented in each chapter to show how they can assist in the efficient processing of breast images. The book also discusses hybrid intelligence approaches for early-stage detection and the use of machine learning classifiers for cancer detection, staging and density assessment in order to develop a proper treatment plan. This book will not only aid computer scientists and medical practitioners in developing a real-time AI based mammogram analysis system, but also addresses the issues and challenges with the current processing methods which are not conducive for real-time applications. Presents novel ideas for AI based mammogram data analysis Discusses the roles deep learning and machine learning techniques play in efficient processing of mammogram images and in the accurate defining of different types of breast cancer Features dozens of real-world case studies from contributors across the globe
Author: Raj, Alex Noel Joseph
Author: Raj, Alex Noel Joseph
Author: Misra, Sanjay
Author: Ruth, J. Anitha
Author: Elshenraki, Hossam Nabil
Author: Rakha, Allah
Author: Uddin, M. Irfan
Author: Mateus-Coelho, Nuno
Author: Chitadze, Nika
Author: Özsungur, Fahri
Author: D. Jude Hemanth