Artificial Intelligence In Forensic Science

Author : Zeno Geradts,Katrin Franke
Publisher : John Wiley & Sons
Page : 260 pages
File Size : 44,9 Mb
Release : 2024-01-29
Category : Medical
ISBN : 9781119813323

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Artificial Intelligence (AI) in Forensic Sciences by Zeno Geradts,Katrin Franke Pdf

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 : Kavita Saini,Swaroop S Sonone,Mahipal Singh Sankhla
Publisher : CRC Press
Page : 0 pages
File Size : 48,7 Mb
Release : 2024-05-31
Category : Electronic
ISBN : 1032263377

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Artificial Intelligence in Forensic Science by Kavita Saini,Swaroop S Sonone,Mahipal Singh Sankhla Pdf

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,Hari Mohan Pande,Velliangiri Sarveshwaran
Publisher : CRC Press
Page : 297 pages
File Size : 41,8 Mb
Release : 2023-02-06
Category : Computers
ISBN : 9781000848069

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Artificial Intelligence and Blockchain in Digital Forensics by P. Karthikeyan,Hari Mohan Pande,Velliangiri Sarveshwaran Pdf

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 : Jesus Mena
Publisher : CRC Press
Page : 349 pages
File Size : 51,5 Mb
Release : 2016-04-19
Category : Computers
ISBN : 9781439860700

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Machine Learning Forensics for Law Enforcement, Security, and Intelligence by Jesus Mena Pdf

Increasingly, crimes and fraud are digital in nature, occurring at breakneck speed and encompassing large volumes of data. To combat this unlawful activity, knowledge about the use of machine learning technology and software is critical. Machine Learning Forensics for Law Enforcement, Security, and Intelligence integrates an assortment of deductive

Author : Misra, Sanjay,Arumugam, Chamundeswari,Jaganathan, Suresh,S., Saraswathi
Publisher : IGI Global
Page : 248 pages
File Size : 48,6 Mb
Release : 2020-12-18
Category : Law
ISBN : 9781799849018

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Confluence of AI, Machine, and Deep Learning in Cyber Forensics by Misra, Sanjay,Arumugam, Chamundeswari,Jaganathan, Suresh,S., Saraswathi Pdf

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 : Archana Singh
Publisher : Archana Singh
Page : 61 pages
File Size : 54,7 Mb
Release : 2024-02-12
Category : Law
ISBN : 8210379456XXX

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Forensic Science E-Magazine (Jan-2024) by Archana Singh Pdf

We proudly present the January issue (Vol 19) of your favorite magazine, Forensic Science E-Magazine. As usual, the magazine's current issue has helpful content related to forensic science. Our editorial team works diligently to deliver the study material while keeping in mind the needs of our valued readers. We are confident that if you read it attentively and patiently, it will go a long way toward giving you the information you need to tackle the difficult process of the exams and study and bring you certain knowledge and victory. Reputable authors have provided several important pieces on forensic science and science in the current edition. A variety of questions collected from various competitive exams are included in the magazine's most important section. Contents: Flow Chart Of Forensic Science: A Broad Overview Article On Cryptography and Network Security in Digital Forensics MCQs On Digital Forensics Flowchart for Forensic Ballistic Analysis: A Broad Overview Artificial Intelligence Technology and Forensic Science MCQs On Artificial Intelligence and Forensic Science Flowchart of Crime scene investigation: A Broad Overview Psychological Autopsy: Need of Forensic Psychology MCQs on Psychological Autopsy Flowchart for a Homicide Investigation: A Broad Overview Identification With Earprints: A Unique Form Of Forensic Evidence MCQs on Earprints Flowchart for Fingerprint Analysis: A Broad Overview

Author : Nour Moustafa
Publisher : CRC Press
Page : 257 pages
File Size : 46,5 Mb
Release : 2022-07-18
Category : Computers
ISBN : 9781000598490

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Digital Forensics in the Era of Artificial Intelligence by Nour Moustafa Pdf

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.

Author : Raj, Alex Noel Joseph,Mahesh, Vijayalakshmi G. V.,Nerssison, Ruban,Yu, Ang,Gentry, Jennifer
Publisher : IGI Global
Page : 293 pages
File Size : 46,9 Mb
Release : 2022-06-24
Category : Law
ISBN : 9781668445600

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Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks by Raj, Alex Noel Joseph,Mahesh, Vijayalakshmi G. V.,Nerssison, Ruban,Yu, Ang,Gentry, Jennifer Pdf

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 : Husain, Mohammad Shahid,Khan, Mohammad Zunnun
Publisher : IGI Global
Page : 292 pages
File Size : 44,5 Mb
Release : 2019-11-22
Category : Computers
ISBN : 9781799815600

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Critical Concepts, Standards, and Techniques in Cyber Forensics by Husain, Mohammad Shahid,Khan, Mohammad Zunnun Pdf

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 : Chen Li,Yu-Dong Yao,Jiangwei Yan,Marcin Grzegorzek
Publisher : Frontiers Media SA
Page : 102 pages
File Size : 40,7 Mb
Release : 2023-05-02
Category : Science
ISBN : 9782832522448

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Artificial intelligence in forensic microbiology by Chen Li,Yu-Dong Yao,Jiangwei Yan,Marcin Grzegorzek Pdf

Author : Ephraim Nissan
Publisher : Springer Science & Business Media
Page : 1375 pages
File Size : 47,9 Mb
Release : 2012-06-15
Category : Social Science
ISBN : 9789048189908

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Computer Applications for Handling Legal Evidence, Police Investigation and Case Argumentation by Ephraim Nissan Pdf

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 : Chen, Chung-Hao,Yang, Wen-Chao,Chen, Lijia
Publisher : IGI Global
Page : 306 pages
File Size : 49,8 Mb
Release : 2021-11-05
Category : Law
ISBN : 9781799883883

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Technologies to Advance Automation in Forensic Science and Criminal Investigation by Chen, Chung-Hao,Yang, Wen-Chao,Chen, Lijia Pdf

Within modern forensic science and criminal investigation, experts face several challenges including managing huge amounts of data, handling miniscule pieces of evidence in a chaotic and complex environment, navigating traditional laboratory structures, and, sometimes, dealing with insufficient knowledge. These challenges must be overcome to avoid failure in investigation or miscarriage of justice. Technologies to Advance Automation in Forensic Science and Criminal Investigation provides a platform for researchers to present state-of-the-art technologies within forensic science and criminal investigation. Covering topics such as financial fraud, machine learning, and source camera identification, this book is an essential reference for criminal investigators, justice departments, law enforcement, legislators, computer scientists, automation professionals, researchers, academicians, and students and educators in higher education.

Author : Al Naqvi
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 40,9 Mb
Release : 2020-07-24
Category : Business & Economics
ISBN : 9781119601913

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Artificial Intelligence for Audit, Forensic Accounting, and Valuation by Al Naqvi Pdf

Strategically integrate AI into your organization to compete in the tech era The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform accounting and auditing professions, yet its current application within these areas is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation accounting. Artificial Intelligence for Audit, Forensic Accounting, and Valuation provides a strategic viewpoint on how AI can be comprehensively integrated within audit management, leading to better automated models, forensic accounting, and beyond. No other book on the market takes such a wide-ranging approach to using AI in audit and accounting. With this guide, you’ll be able to build an innovative, automated accounting strategy, using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for audit and accounting firms. With better AI comes better results. If you aren’t integrating AI and automation in the strategic DNA of your business, you’re at risk of being left behind. See how artificial intelligence can form the cornerstone of integrated, automated audit and accounting services Learn how to build AI into your organization to remain competitive in the era of automation Go beyond siloed AI implementations to modernize and deliver results across the organization Understand and overcome the governance and leadership challenges inherent in AI strategy Accounting and auditing firms need a comprehensive framework for intelligent, automation-centric modernization. Artificial Intelligence for Audit, Forensic Accounting, and Valuation delivers just that—a plan to evolve legacy firms by building firmwide AI capabilities.

Author : S Vijayalakshmi,P Durgadevi,Lija Jacob,Balamurugan Balusamy,Parma Nand
Publisher : CRC Press
Page : 187 pages
File Size : 49,6 Mb
Release : 2024-03-19
Category : Computers
ISBN : 9781003815532

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Artificial Intelligence for Cyber Defense and Smart Policing by S Vijayalakshmi,P Durgadevi,Lija Jacob,Balamurugan Balusamy,Parma Nand Pdf

The future policing ought to cover identification of new assaults, disclosure of new ill-disposed patterns, and forecast of any future vindictive patterns from accessible authentic information. Such keen information will bring about building clever advanced proof handling frameworks that will help cops investigate violations. Artificial Intelligence for Cyber Defense and Smart Policing will describe the best way of practicing artificial intelligence for cyber defense and smart policing. Salient Features: • Combines AI for both cyber defense and smart policing in one place. • Covers novel strategies in future to help cybercrime examinations and police. • Discusses different AI models to fabricate more exact techniques. • Elaborates on problematization and international issues. • Includes case studies and real-life examples. This book is primarily aimed at graduates, researchers, and IT professionals. Business executives will also find this book helpful.

Author : Shilpa Mahajan,Mehak Khurana,Vania Vieira Estrela
Publisher : John Wiley & Sons
Page : 373 pages
File Size : 48,8 Mb
Release : 2024-06-12
Category : Computers
ISBN : 9781394196449

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

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 Cyber Security 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 Cyber Security 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 Cyber Security 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.