Artificial Intelligence (AI) in Forensic Sciences PDF Download

Author: Zeno Geradts
Publisher: John Wiley & Sons
ISBN: 1119813328
Category : Medical
Languages : en
Pages : 260

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Book Description
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.

Author: Sheewhoo Haroon
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
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

Author: Kavita Saini
Publisher: CRC Press
ISBN: 9781032263366
Category : Computers
Languages : en
Pages : 0

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Book Description
This book addresses the current and emerging opportunities being utilized to apply modern Artificial Intelligence (AI) technologies to current forensic and investigation practices.

Author: P. Karthikeyan
Publisher: CRC Press
ISBN: 100084806X
Category : Computers
Languages : en
Pages : 297

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Book Description
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.

Author: Misra, Sanjay
Publisher: IGI Global
ISBN: 1799849015
Category : Law
Languages : en
Pages : 248

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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: Raj, Alex Noel Joseph
Publisher: IGI Global
ISBN: 1668445603
Category : Law
Languages : en
Pages : 293

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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: Zeno Geradts
Publisher: John Wiley & Sons
ISBN: 1119813344
Category : Medical
Languages : en
Pages : 260

View

Book Description
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.

Author: Ephraim Nissan
Publisher: Springer Science & Business Media
ISBN: 904818990X
Category : Social Science
Languages : en
Pages : 1375

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Book Description
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.

Author: Husain, Mohammad Shahid
Publisher: IGI Global
ISBN: 1799815609
Category : Computers
Languages : en
Pages : 292

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Book Description
Advancing technologies, especially computer technologies, have necessitated the creation of a comprehensive investigation and collection methodology for digital and online evidence. The goal of cyber forensics is to perform a structured investigation while maintaining a documented chain of evidence to find out exactly what happened on a computing device or on a network and who was responsible for it. Critical Concepts, Standards, and Techniques in Cyber Forensics is a critical research book that focuses on providing in-depth knowledge about online forensic practices and methods. Highlighting a range of topics such as data mining, digital evidence, and fraud investigation, this book is ideal for security analysts, IT specialists, software engineers, researchers, security professionals, criminal science professionals, policymakers, academicians, and students.

Author: Niklas Lidströmer
Publisher: Springer
ISBN: 9783030645724
Category : Medical
Languages : en
Pages : 1816

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Book Description
This book provides a structured and analytical guide to the use of artificial intelligence in medicine. Covering all areas within medicine, the chapters give a systemic review of the history, scientific foundations, present advances, potential trends, and future challenges of artificial intelligence within a healthcare setting. Artificial Intelligence in Medicine aims to give readers the required knowledge to apply artificial intelligence to clinical practice. The book is relevant to medical students, specialist doctors, and researchers whose work will be affected by artificial intelligence.