Artificial Intelligence Ai In Forensic Sciences
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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.
Artificial Intelligence In Forensic Science
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Author : Kavita Saini
language : en
Publisher: CRC Press
Release Date : 2024-05-31
Artificial Intelligence In Forensic Science written by Kavita Saini and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with categories.
This book addresses the current and emerging opportunities being utilized to apply modern Artificial Intelligence (AI) technologies to current forensic and investigation practices.
Artificial Intelligence Ai In Forensic Investigation
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Author : Sheewhoo Haroon
language : en
Publisher: Independently Published
Release Date : 2023-09-12
Artificial Intelligence Ai In Forensic Investigation written by Sheewhoo Haroon and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-12 with categories.
Introduction to AI in Forensic Investigation 1.1 Historical Context Forensic investigation, the art and science of solving crimes, has a rich and storied history. It dates back centuries, with ancient civilizations employing rudimentary forensic techniques to resolve disputes and administer justice. The evolution of forensic investigation parallels the development of human societies. We'll journey through time, exploring the milestones in forensic science, from fingerprints in ancient Babylon to the first recorded use of blood splatter analysis in the early 19th century. Understanding this history provides a crucial backdrop for comprehending how AI is reshaping the field. 1.2 The Emergence of Artificial Intelligence The 20th century saw remarkable advancements in technology, including the development of computers and artificial intelligence. AI, once a subject of science fiction, became a tangible reality. The principles of machine learning and neural networks laid the foundation for AI's integration into diverse fields, including forensics. In this section, we'll trace AI's journey from its conceptualization to its current capabilities. We'll explore how the convergence of data, computing power, and algorithmic innovation has made AI a game-changer in forensic investigations. Introduction to AI in Forensic Investigation 1.1 Historical Context Forensic investigation, the art and science of solving crimes, has a rich and storied history. It dates back centuries, with ancient civilizations employing rudimentary forensic techniques to resolve disputes and administer justice. The evolution of forensic investigation parallels the development of human societies. We'll journey through time, exploring the milestones in forensic science, from fingerprints in ancient Babylon to the first recorded use of blood splatter analysis in the early 19th century. Understanding this history provides a crucial backdrop for comprehending how AI is reshaping the field. 1.2 The Emergence of Artificial Intelligence The 20th century saw remarkable advancements in technology, including the development of computers and artificial intelligence. AI, once a subject of science fiction, became a tangible reality. The principles of machine learning and neural networks laid the foundation for AI's integration into diverse fields, including forensics. In this section, we'll trace AI's journey from its conceptualization to its current capabilities. We'll explore how the convergence of data, computing power, and algorithmic innovation has made AI a game-changer in forensic investigations. 1. Introduction to AI in Forensic Investigation 2. Historical Perspective: How Forensics Evolved 3. The Power of Data: AI and Digital Forensics 4. Image and Video Analysis with AI 5. AI's Role in Fingerprint and Biometric Identification 6. Text and Speech Analysis in Forensic Linguistics 7. AI-Enhanced Crime Scene Analysis 8. Cyber security and AI: Tracing Digital Footprints 9. DNA Sequencing and Analysis with Artificial Intelligence 10. Document Forgery Detection with Machine Learning 11. AI in Ballistics and Firearms Identification 12. Behavioral Analysis and Profiling with AI 13. Case Studies: Real-Life Examples of AI in Forensics 14. Ethical Considerations and Challenges in AI Forensics 15. The Future of AI in Forensic Investigation
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.
Artificial Intelligence And Blockchain In Digital Forensics
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Author : P. Karthikeyan
language : en
Publisher: CRC Press
Release Date : 2023-02-06
Artificial Intelligence And Blockchain In Digital Forensics written by P. Karthikeyan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-06 with Computers categories.
Digital forensics is the science of detecting evidence from digital media like a computer, smartphone, server, or network. It provides the forensic team with the most beneficial methods to solve confused digital-related cases. AI and blockchain can be applied to solve online predatory chat cases and photo forensics cases, provide network service evidence, custody of digital files in forensic medicine, and identify roots of data scavenging. The increased use of PCs and extensive use of internet access, have meant easy availability of hacking tools. Over the past two decades, improvements in the information technology landscape have made the collection, preservation, and analysis of digital evidence extremely important. The traditional tools for solving cybercrimes and preparing court cases are making investigations difficult. We can use AI and blockchain design frameworks to make the digital forensic process efficient and straightforward. AI features help determine the contents of a picture, detect spam email messages and recognize swatches of hard drives that could contain suspicious files. Blockchain-based lawful evidence management schemes can supervise the entire evidence flow of all of the court data. This book provides a wide-ranging overview of how AI and blockchain can be used to solve problems in digital forensics using advanced tools and applications available on the market.
Computer Applications For Handling Legal Evidence Police Investigation And Case Argumentation
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Author : Ephraim Nissan
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-06-15
Computer Applications For Handling Legal Evidence Police Investigation And Case Argumentation written by Ephraim Nissan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-15 with Social Science categories.
This book provides an overview of computer techniques and tools — especially from artificial intelligence (AI) — for handling legal evidence, police intelligence, crime analysis or detection, and forensic testing, with a sustained discussion of methods for the modelling of reasoning and forming an opinion about the evidence, methods for the modelling of argumentation, and computational approaches to dealing with legal, or any, narratives. By the 2000s, the modelling of reasoning on legal evidence has emerged as a significant area within the well-established field of AI & Law. An overview such as this one has never been attempted before. It offers a panoramic view of topics, techniques and tools. It is more than a survey, as topic after topic, the reader can get a closer view of approaches and techniques. One aim is to introduce practitioners of AI to the modelling legal evidence. Another aim is to introduce legal professionals, as well as the more technically oriented among law enforcement professionals, or researchers in police science, to information technology resources from which their own respective field stands to benefit. Computer scientists must not blunder into design choices resulting in tools objectionable for legal professionals, so it is important to be aware of ongoing controversies. A survey is provided of argumentation tools or methods for reasoning about the evidence. Another class of tools considered here is intended to assist in organisational aspects of managing of the evidence. Moreover, tools appropriate for crime detection, intelligence, and investigation include tools based on link analysis and data mining. Concepts and techniques are introduced, along with case studies. So are areas in the forensic sciences. Special chapters are devoted to VIRTOPSY (a procedure for legal medicine) and FLINTS (a tool for the police). This is both an introductory book (possibly a textbook), and a reference for specialists from various quarters.
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.
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.
Computational Intelligence In Digital Forensics Forensic Investigation And Applications
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Author : Azah Kamilah Muda
language : en
Publisher: Springer
Release Date : 2014-04-01
Computational Intelligence In Digital Forensics Forensic Investigation And Applications written by Azah Kamilah Muda and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-01 with Technology & Engineering categories.
Computational Intelligence techniques have been widely explored in various domains including forensics. Analysis in forensic encompasses the study of pattern analysis that answer the question of interest in security, medical, legal, genetic studies and etc. However, forensic analysis is usually performed through experiments in lab which is expensive both in cost and time. Therefore, this book seeks to explore the progress and advancement of computational intelligence technique in different focus areas of forensic studies. This aims to build stronger connection between computer scientists and forensic field experts. This book, Computational Intelligence in Digital Forensics: Forensic Investigation and Applications, is the first volume in the Intelligent Systems Reference Library series. The book presents original research results and innovative applications of computational intelligence in digital forensics. This edited volume contains seventeen chapters and presents the latest state-of-the-art advancement of Computational Intelligence in Digital Forensics; in both theoretical and application papers related to novel discovery in intelligent forensics. The chapters are further organized into three sections: (1) Introduction, (2) Forensic Discovery and Investigation, which discusses the computational intelligence technologies employed in Digital Forensic, and (3) Intelligent Forensic Science Applications, which encompasses the applications of computational intelligence in Digital Forensic, such as human anthropology, human biometrics, human by products, drugs, and electronic devices.
Artificial Intelligence Ai In Forensic Sciences
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Author : Zeno Geradts
language : en
Publisher: John Wiley & Sons
Release Date : 2023-08-22
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 2023-08-22 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.