Handbook On Artificial Intelligence And Expert Systems In Law Enforcement
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Handbook On Artificial Intelligence And Expert Systems In Law Enforcement
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Author : Edward C. Ratledge
language : en
Publisher: Greenwood
Release Date : 1989-09-26
Handbook On Artificial Intelligence And Expert Systems In Law Enforcement written by Edward C. Ratledge and has been published by Greenwood this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-09-26 with Computers categories.
As the complexities and problems that plague law enforcement agencies continue to proliferate, the need to utilize every available tool has led to the application of expert systems to law enforcement activities. This first book to explore this application is both practical and conceptually clear as it explains the potential utility of expert systems and their impact on operations and management. Such systems can support command and control through computer-aided dispatching, assist in the solution of high volume crimes such as residential burglaries, aid in the design of programs for the apprehension and prosecution of career criminals and repeat offenders, upgrade personnel through enhanced training programs, and provide an improved method for the delivery of technical assistance and training services. Until now, literature to assist organizations that could benefit from this technology has been scarce. Ratledge and Jacoby have geared their discussions to a wide audience which includes both practitioners and the academic community. This handbook offers clear, systematic explanations of the applications of expert systems in the world of law enforcement. It discusses the impact of these systems on traditional ways of policing and crime solving, and details a set of practical guidelines for jurisdictions considering the use of expert systems. The text is designed to present information in an order that progresses from general to technical aspects of the subject. The first two chapters provide an overview of expert systems as they apply to different law enforcement areas and discuss the policy issues they create. The next section describes practical applications of expert systems in computer-aided dispatching, crime solving, and training. Chapter 4 explains the basic steps in building expert systems, its terminology, and general characteristics. Chapter 5 offers an introduction to artificial intelligence and its uses in problem solving and expert systems. Written with the expert systems designer or data processing manager in mind, Chapter 6 reviews the problems encountered in linking inferencing to data processing and the efficiencies and technical requirements of the system. In Chapter 7, a case study of the Baltimore County Police Department's expert system for residential burglaries is presented and the steps taken in the development of that system are described. Included in the valuable appendices are a list of vendors, two bibliographies including an annotated one relating to current policing issues and one dealing with technical publications, and a glossary. This timely handbook will enable practitioners in criminal justice to make informed decisions regarding the implementation of expert systems. It also provides up-to-the-minute information for computer system consultants and academicians and students in computer science and criminal justice administration.
Artificial Intelligence Cybersecurity And Cyber Defence
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Author : Daniel Ventre
language : en
Publisher: John Wiley & Sons
Release Date : 2020-12-15
Artificial Intelligence Cybersecurity And Cyber Defence written by Daniel Ventre 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 2020-12-15 with Computers categories.
The aim of the book is to analyse and understand the impacts of artificial intelligence in the fields of national security and defense; to identify the political, geopolitical, strategic issues of AI; to analyse its place in conflicts and cyberconflicts, and more generally in the various forms of violence; to explain the appropriation of artificial intelligence by military organizations, but also law enforcement agencies and the police; to discuss the questions that the development of artificial intelligence and its use raise in armies, police, intelligence agencies, at the tactical, operational and strategic levels.
Machine Learning Forensics For Law Enforcement Security And Intelligence
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Author : Jesus Mena
language : en
Publisher: CRC Press
Release Date : 2011-06-23
Machine Learning Forensics For Law Enforcement Security And Intelligence written by Jesus Mena and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-23 with Computers categories.
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 and instructive tools, techniques, and technologies to arm professionals with the tools they need to be prepared and stay ahead of the game. Step-by-step instructions The book is a practical guide on how to conduct forensic investigations using self-organizing clustering map (SOM) neural networks, text extraction, and rule generating software to "interrogate the evidence." This powerful data is indispensable for fraud detection, cybersecurity, competitive counterintelligence, and corporate and litigation investigations. The book also provides step-by-step instructions on how to construct adaptive criminal and fraud detection systems for organizations. Prediction is the key Internet activity, email, and wireless communications can be captured, modeled, and deployed in order to anticipate potential cyber attacks and other types of crimes. The successful prediction of human reactions and server actions by quantifying their behaviors is invaluable for pre-empting criminal activity. This volume assists chief information officers, law enforcement personnel, legal and IT professionals, investigators, and competitive intelligence analysts in the strategic planning needed to recognize the patterns of criminal activities in order to predict when and where crimes and intrusions are likely to take place.
Intelligent Data Mining In Law Enforcement Analytics
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Author : Paolo Massimo Buscema
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-11-28
Intelligent Data Mining In Law Enforcement Analytics written by Paolo Massimo Buscema 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 2012-11-28 with Social Science categories.
This book provides a thorough summary of the means currently available to the investigators of Artificial Intelligence for making criminal behavior (both individual and collective) foreseeable, and for assisting their investigative capacities. The volume provides chapters on the introduction of artificial intelligence and machine learning suitable for an upper level undergraduate with exposure to mathematics and some programming skill or a graduate course. It also brings the latest research in Artificial Intelligence to life with its chapters on fascinating applications in the area of law enforcement, though much is also being accomplished in the fields of medicine and bioengineering. Individuals with a background in Artificial Intelligence will find the opening chapters to be an excellent refresher but the greatest excitement will likely be the law enforcement examples, for little has been done in that area. The editors have chosen to shine a bright light on law enforcement analytics utilizing artificial neural network technology to encourage other researchers to become involved in this very important and timely field of study.
The Handbook Of Applied Expert Systems
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Author : Jay Liebowitz
language : en
Publisher: CRC Press
Release Date : 2019-07-23
The Handbook Of Applied Expert Systems written by Jay Liebowitz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-23 with Computers categories.
The Handbook of Applied Expert Systems is a landmark work dedicated solely to this rapidly advancing area of study. Edited by Jay Liebowitz, a professor, author, and consultant known around the world for his work in the field, this authoritative source covers the latest expert system technologies, applications, methodologies, and practices. The book features contributions from more than 40 of the world's foremost expert systems authorities in industry, government, and academia. The Handbook is organized into two major sections. The first section explains expert systems technologies while the second section focuses on applied examples in a wide variety of industries. Key topics covered include fuzzy systems, genetic algorithm development, machine learning, knowledge representation, and much more.
Predictive Policing And Artificial Intelligence
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Author : John McDaniel
language : en
Publisher: Routledge
Release Date : 2021-02-25
Predictive Policing And Artificial Intelligence written by John McDaniel and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-25 with Computers categories.
This edited text draws together the insights of numerous worldwide eminent academics to evaluate the condition of predictive policing and artificial intelligence (AI) as interlocked policy areas. Predictive and AI technologies are growing in prominence and at an unprecedented rate. Powerful digital crime mapping tools are being used to identify crime hotspots in real-time, as pattern-matching and search algorithms are sorting through huge police databases populated by growing volumes of data in an eff ort to identify people liable to experience (or commit) crime, places likely to host it, and variables associated with its solvability. Facial and vehicle recognition cameras are locating criminals as they move, while police services develop strategies informed by machine learning and other kinds of predictive analytics. Many of these innovations are features of modern policing in the UK, the US and Australia, among other jurisdictions. AI promises to reduce unnecessary labour, speed up various forms of police work, encourage police forces to more efficiently apportion their resources, and enable police officers to prevent crime and protect people from a variety of future harms. However, the promises of predictive and AI technologies and innovations do not always match reality. They often have significant weaknesses, come at a considerable cost and require challenging trade- off s to be made. Focusing on the UK, the US and Australia, this book explores themes of choice architecture, decision- making, human rights, accountability and the rule of law, as well as future uses of AI and predictive technologies in various policing contexts. The text contributes to ongoing debates on the benefits and biases of predictive algorithms, big data sets, machine learning systems, and broader policing strategies and challenges. Written in a clear and direct style, this book will appeal to students and scholars of policing, criminology, crime science, sociology, computer science, cognitive psychology and all those interested in the emergence of AI as a feature of contemporary policing.
Intelligence And Security Informatics
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Author : Hsinchun Chen
language : en
Publisher: Springer
Release Date : 2008-06-17
Intelligence And Security Informatics written by Hsinchun Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-17 with Technology & Engineering categories.
The IEEE International Conference on Intelligence and Security Informatics (ISI) and Pacific Asia Workshop on Intelligence and Security Informatics (PAISI) conference series (http://www. isiconference. org) have drawn significant attention in the recent years. Intelligence and Security Informatics is concerned with the study of the dev- opment and use of advanced information technologies and systems for national, int- national, and societal security-related applications. The ISI conference series have brought together academic researchers, law enforcement and intelligence experts, - formation technology consultant and practitioners to discuss their research and pr- tice related to various ISI topics including ISI data management, data and text mining for ISI applications, terrorism informatics, deception and intent detection, terrorist and criminal social network analysis, public health and bio-security, crime analysis, - ber-infrastructure protection, transportation infrastructure security, policy studies and evaluation, information assurance, among others. In this book, we collect the work of the most active researchers in the area. Topics include data and text mining in terr- ism, information sharing, social network analysis, Web-based intelligence monitoring and analysis, crime data analysis, infrastructure protection, deception and intent det- tion and more. Scope and Organization The book is organized in four major areas. The first unit focuses on the terrorism - formatics and data mining. The second unit discusses the intelligence and crime analysis. The third unit covers access control, infrastructure protection, and privacy. The forth unit presents surveillance and emergency response.
Automating Crime Prevention Surveillance And Military Operations
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Author : Aleš Završnik
language : en
Publisher: Springer Nature
Release Date : 2021-08-19
Automating Crime Prevention Surveillance And Military Operations written by Aleš Završnik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-19 with Social Science categories.
This interdisciplinary volume critically explores how the ever-increasing use of automated systems is changing policing, criminal justice systems, and military operations at the national and international level. The book examines the ways in which automated systems are beneficial to society, while addressing the risks they represent for human rights. This book starts with a historical overview of how different types of knowledge have transformed crime control and the security domain, comparing those epistemological shifts with the current shift caused by knowledge produced with high-tech information technology tools such as big data analytics, machine learning, and artificial intelligence. The first part explores the use of automated systems, such as predictive policing and platform policing, in law enforcement. The second part analyzes the use of automated systems, such as algorithms used in sentencing and parole decisions, in courts of law. The third part examines the use and misuse of automated systems for surveillance and social control. The fourth part discusses the use of lethal (semi)autonomous weapons systems in armed conflicts. An essential read for researchers, politicians, and advocates interested in the use and potential misuse of automated systems in crime control, this diverse volume draws expertise from such fields as criminology, law, sociology, philosophy, and anthropology.
Artificial Intelligence In Cyber Security Impact And Implications
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Author : Reza Montasari
language : en
Publisher: Springer Nature
Release Date : 2021-11-26
Artificial Intelligence In Cyber Security Impact And Implications written by Reza Montasari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-26 with Computers categories.
The book provides a valuable reference for cyber security experts, digital forensic practitioners and network security professionals. In recent years, AI has gained substantial attention from researchers in both academia and industry, and as a result AI’s capabilities are constantly increasing at an extraordinary pace. AI is considered to be the Fourth Industrial Revolution or at least the next significant technological change after the evolution in mobile and cloud computing technologies. AI is a vehicle for improving the quality of our lives across every spectrum with a broad range of beneficial applications in various sectors. Notwithstanding its numerous beneficial use, AI simultaneously poses numerous legal, ethical, security and privacy challenges that are compounded by its malicious use by criminals. These challenges pose many risks to both our privacy and security at national, organisational and individual levels. In view of this, this book aims to help address some of these challenges focusing on the implication, impact and mitigations of the stated issues. The book provides a comprehensive coverage of not only the technical and ethical issues presented by the use of AI but also the adversarial application of AI and its associated implications. The authors recommend a number of novel approaches to assist in better detecting, thwarting and addressing AI challenges. The book also looks ahead and forecasts what attacks can be carried out in the future through the malicious use of the AI if sufficient defences are not implemented. The research contained in the book fits well into the larger body of work on various aspects of AI and cyber security. It is also aimed at researchers seeking to obtain a more profound knowledge of machine learning and deep learning in the context of cyber security, digital forensics and cybercrime. Furthermore, the book is an exceptional advanced text for Ph.D. and master’s degree programmes in cyber security, digital forensics, network security, cyber terrorism and computer science. Each chapter contributed to the book is written by an internationally renowned expert who has extensive experience in law enforcement, industry or academia. Furthermore, this book blends advanced research findings with practice-based methods to provide the reader with advanced understanding and relevant skills.
Machine Learning For Criminology And Crime Research
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Author : Gian Maria Campedelli
language : en
Publisher: Routledge
Release Date : 2022-06-09
Machine Learning For Criminology And Crime Research written by Gian Maria Campedelli and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-09 with Computers categories.
Machine Learning for Criminology and Crime Research: At the Crossroads reviews the roots of the intersection between machine learning, artificial intelligence (AI), and research on crime; examines the current state of the art in this area of scholarly inquiry; and discusses future perspectives that may emerge from this relationship. As machine learning and AI approaches become increasingly pervasive, it is critical for criminology and crime research to reflect on the ways in which these paradigms could reshape the study of crime. In response, this book seeks to stimulate this discussion. The opening part is framed through a historical lens, with the first chapter dedicated to the origins of the relationship between AI and research on crime, refuting the "novelty narrative" that often surrounds this debate. The second presents a compact overview of the history of AI, further providing a nontechnical primer on machine learning. The following chapter reviews some of the most important trends in computational criminology and quantitatively characterizing publication patterns at the intersection of AI and criminology, through a network science approach. This book also looks to the future, proposing two goals and four pathways to increase the positive societal impact of algorithmic systems in research on crime. The sixth chapter provides a survey of the methods emerging from the integration of machine learning and causal inference, showcasing their promise for answering a range of critical questions. With its transdisciplinary approach, Machine Learning for Criminology and Crime Research is important reading for scholars and students in criminology, criminal justice, sociology, and economics, as well as AI, data sciences and statistics, and computer science.