Aiding Forensic Investigation Through Deep Learning And Machine Learning Frameworks
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Aiding Forensic Investigation Through Deep Learning And Machine Learning Frameworks
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Author : Raj, Alex Noel Joseph
language : en
Publisher: IGI Global
Release Date : 2022-06-24
Aiding Forensic Investigation Through Deep Learning And Machine Learning Frameworks written by Raj, Alex Noel Joseph and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-24 with Law categories.
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.
Confluence Of Ai Machine And Deep Learning In Cyber Forensics
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Author : Misra, Sanjay
language : en
Publisher: IGI Global
Release Date : 2020-12-18
Confluence Of Ai Machine And Deep Learning In Cyber Forensics written by Misra, Sanjay and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-18 with Law categories.
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.
Digital Forensics In The Era Of Artificial Intelligence
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Author : Nour Moustafa
language : en
Publisher: CRC Press
Release Date : 2022-07-18
Digital Forensics In The Era Of Artificial Intelligence written by Nour Moustafa and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-18 with Computers categories.
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.
Handbook Of Research On Deep Learning Based Image Analysis Under Constrained And Unconstrained Environments
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Author : Raj, Alex Noel Joseph
language : en
Publisher: IGI Global
Release Date : 2020-12-25
Handbook Of Research On Deep Learning Based Image Analysis Under Constrained And Unconstrained Environments written by Raj, Alex Noel Joseph and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-25 with Computers categories.
Recent advancements in imaging techniques and image analysis has broadened the horizons for their applications in various domains. Image analysis has become an influential technique in medical image analysis, optical character recognition, geology, remote sensing, and more. However, analysis of images under constrained and unconstrained environments require efficient representation of the data and complex models for accurate interpretation and classification of data. Deep learning methods, with their hierarchical/multilayered architecture, allow the systems to learn complex mathematical models to provide improved performance in the required task. The Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments provides a critical examination of the latest advancements, developments, methods, systems, futuristic approaches, and algorithms for image analysis and addresses its challenges. Highlighting concepts, methods, and tools including convolutional neural networks, edge enhancement, image segmentation, machine learning, and image processing, the book is an essential and comprehensive reference work for engineers, academicians, researchers, and students.
Innovative Machine Learning Applications For Cryptography
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Author : Ruth, J. Anitha
language : en
Publisher: IGI Global
Release Date : 2024-03-04
Innovative Machine Learning Applications For Cryptography written by Ruth, J. Anitha and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-04 with Computers categories.
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.
Forecasting Cyber Crimes In The Age Of The Metaverse
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Author : Elshenraki, Hossam Nabil
language : en
Publisher: IGI Global
Release Date : 2023-11-27
Forecasting Cyber Crimes In The Age Of The Metaverse written by Elshenraki, Hossam Nabil and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-27 with Computers categories.
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.
Modeling And Simulation Of Functional Nanomaterials For Forensic Investigation
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Author : Rakha, Allah
language : en
Publisher: IGI Global
Release Date : 2023-06-12
Modeling And Simulation Of Functional Nanomaterials For Forensic Investigation written by Rakha, Allah and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-12 with Law categories.
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.
Deep Learning Reinforcement Learning And The Rise Of Intelligent Systems
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Author : Uddin, M. Irfan
language : en
Publisher: IGI Global
Release Date : 2024-02-26
Deep Learning Reinforcement Learning And The Rise Of Intelligent Systems written by Uddin, M. Irfan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-26 with Computers categories.
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.
Deep Learning Applications For Cyber Security
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Author : Mamoun Alazab
language : en
Publisher: Springer
Release Date : 2019-08-14
Deep Learning Applications For Cyber Security written by Mamoun Alazab and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-14 with Computers categories.
Cybercrime remains a growing challenge in terms of security and privacy practices. Working together, deep learning and cyber security experts have recently made significant advances in the fields of intrusion detection, malicious code analysis and forensic identification. This book addresses questions of how deep learning methods can be used to advance cyber security objectives, including detection, modeling, monitoring and analysis of as well as defense against various threats to sensitive data and security systems. Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security. The book focuses on mature and proven techniques, and provides ample examples to help readers grasp the key points.
Artificial Intelligence Ai In Forensic Sciences
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Author : Zeno Geradts
language : en
Publisher: John Wiley & Sons
Release Date : 2024-01-29
Artificial Intelligence Ai In Forensic Sciences written by Zeno Geradts and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-29 with Medical categories.
ARTIFICIAL INTELLIGENCE (AI) IN FORENSIC SCIENCES Foundational text for teaching and learning within the field of Artificial Intelligence (AI) as it applies to forensic science Artificial Intelligence (AI) in Forensic Sciences presents an overview of the state-of-the-art applications of Artificial Intelligence within Forensic Science, covering issues with validation and new crimes that use AI; issues with triage, preselection, identification, argumentation and explain ability; demonstrating uses of AI in forensic science; and providing discussions on bias when using AI. The text discusses the challenges for the legal presentation of AI data and interpretation and offers solutions to this problem while addressing broader practical and emerging issues in a growing area of interest in forensics. It builds on key developing areas of focus in academic and government research, providing an authoritative and well-researched perspective. Compiled by two highly qualified editors with significant experience in the field, and part of the Wiley — AAFS series ‘Forensic Science in Focus’, Artificial Intelligence (AI) in Forensic Sciences includes information on: Cyber IoT, fundamentals on AI in forensic science, speaker and facial comparison, and deepfake detection Digital-based evidence creation, 3D and AI, interoperability of standards, and forensic audio and speech analysis Text analysis, video and multimedia analytics, reliability, privacy, network forensics, intelligence operations, argumentation support in court, and case applications Identification of genetic markers, current state and federal legislation with regards to AI, and forensics and fingerprint analysis Providing comprehensive coverage of the subject, Artificial Intelligence (AI) in Forensic Sciences is an essential advanced text for final year undergraduates and master’s students in forensic science, as well as universities teaching forensics (police, IT security, digital science and engineering), forensic product vendors and governmental and cyber security agencies.