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Policing in the Era of AI and Smart Societies by Hamid Jahankhani,Babak Akhgar,Peter Cochrane,Mohammad Dastbaz Pdf
Chapter “Predictive Policing in 2025: A Scenario” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Policing in Smart Societies by Antoinette Verhage,Marleen Easton,Sofie De Kimpe Pdf
Smart societies pose new challenges for police organizations. Demands for more efficiency and effectiveness test police organizations which are often resistant to change. This book uses the concept of the abstract police to describe the way in which police organizations have tried to adapt to these new evolutions and the consequences. The chapters stem from a conference called “Street Policing in a Smart Society” which sought to frame and analyse these developments in policing. In this book, the concept of the abstract police is introduced, analysed and then challenged from different angles, looking at the evolutions related to technology, plural policing, police discretion and police decision making. As such, the book is a reflection of current debates on policing and police organization, aiming to give input to the debate by providing new insights on police and police work.
Policing Teen Sexting by Andy Phippen,Emma Bond Pdf
This book explores the policing response to teen sexting – the digital exchange, both consensual and non-consensual, of intimate images among youth peers. With a particular focus in England and Wales, it also considers other international responses and the challenges faced in policing youth practices with legislation being applied beyond its intended scope. It uses the police responses in England and Wales as a case study of the challenges of policy evolving the digital cultural phenomenon and the tensions between enforcing the law, while knowing it’s not fit for purpose, and supporting vulnerable minors. It explores the policy responses that have developed from the problematic legislation and whether these policy interventions have helped or hindered the policing process. It draws in parallels with drugs policy and policing, and brings in progressive, harm reduction approaches in contrast to traditional solutions.
Cybersecurity, Privacy and Freedom Protection in the Connected World by Hamid Jahankhani,Arshad Jamal,Shaun Lawson Pdf
This book provides an opportunity for investigators, government officials, systems scientists, strategists, assurance researchers, owners, operators and maintainers of large, complex and advanced systems and infrastructures to update their knowledge with the state of best practice in the challenging domains whilst networking with the leading representatives, researchers and solution providers. Drawing on 12 years of successful events on information security, digital forensics and cyber-crime, the 13th ICGS3-20 conference aims to provide attendees with an information-packed agenda with representatives from across the industry and the globe. The challenges of complexity, rapid pace of change and risk/opportunity issues associated with modern products, systems, special events and infrastructures. In an era of unprecedented volatile, political and economic environment across the world, computer-based systems face ever more increasing challenges, disputes and responsibilities, and whilst the Internet has created a global platform for the exchange of ideas, goods and services, it has also created boundless opportunities for cyber-crime. As an increasing number of large organizations and individuals use the Internet and its satellite mobile technologies, they are increasingly vulnerable to cyber-crime threats. It is therefore paramount that the security industry raises its game to combat these threats. Whilst there is a huge adoption of technology and smart home devices, comparably, there is a rise of threat vector in the abuse of the technology in domestic violence inflicted through IoT too. All these are an issue of global importance as law enforcement agencies all over the world are struggling to cope.
Policing Domestic Abuse by Katy Barrow-Grint,Jacqueline Sebire,Jackie Turton,Ruth Weir Pdf
This book is dedicated to improving the practice of the policing of domestic abuse. Its objective is to help inform those working in policing about the dynamics of how domestic abuse occurs, how best to respond to and investigate it, and in the longer term how to prevent it. Divided into thematic areas, the book uses recent research findings to update some of the theoretical analysis and to highlight areas of good practice: ‘what works and why’. An effective investigation and the prosecution of offenders are considered, as well as an evaluation of the success of current treatment options. Policing domestic abuse can only be dealt with through an effective partnership response. The responsibilities of each agency and the statutory processes in place when policy is not adhered to are outlined. Core content includes: A critique of definitions and theoretical approaches to domestic abuse, including coverage of the myths surrounding domestic abuse and their impact on policing. An exploration on the challenges of collecting data on domestic abuse, looking at police data and the role of health and victim support services. A critical review of different forms of abuse, different perpetrators and victims, and risk assessment tools used by the police. A critical examination of the law relating to domestic abuse; how police resources are deployed to respond to and manage it; and best practice in investigation, gathering evidence, and prosecution Key perspectives on preventing domestic abuse, protecting victims, and reducing harm. Written with the student and budding practitioner in mind, this book is filled with case studies, current research, reports, and media examples, as well as a variety of reflective questions and a glossary of key terms, to help shed light on the challenges of policing domestic violence and the links between academic research and best practice.
Digital Transformation in Healthcare in Post-COVID-19 Times by Miltiadis Lytras,Abdulrahman Housawi,Basim Alsaywid Pdf
Digital Transformation in Healthcare in Post-Covid19 Times discusses recent advances in patient care and offers critical comparative insights into their application across multiple domains in healthcare. By showcasing key problems, best practices and emerging challenges, the book offers a state-of-art review of opportunities and prospects in the process of delivering smart sustainable healthcare services. Topics discussed include healthcare challenges in the post-COVID-19 era, enabling technologies for digital transformation, value driven approaches to the delivery of patient centric top-quality health services, and analytics and enhanced decision making. In addition, the book updates knowledge on best practices for training towards digital transformation and sustainable health. This is a valuable resource for healthcare professionals, medical doctors, researchers, graduate students and members of the biomedical field who are interested in learning more about the use of emerging technologies in healthcare. Holistically discusses the new landscape of digital transformation and sustainability in health Presents a case study driven approach based on real-world scenarios to help readers apply the knowledge gained into practice Promotes sound research on the impact of emerging technologies in health and life specialties and their relevant role during the COVID-19 pandemic
Information Security Technologies for Controlling Pandemics by Hamid Jahankhani,Stefan Kendzierskyj,Babak Akhgar Pdf
The year 2020 and the COVID-19 pandemic marked a huge change globally, both in working and home environments. They posed major challenges for organisations around the world, which were forced to use technological tools to help employees work remotely, while in self-isolation and/or total lockdown. Though the positive outcomes of using these technologies are clear, doing so also comes with its fair share of potential issues, including risks regarding data and its use, such as privacy, transparency, exploitation and ownership. COVID-19 also led to a certain amount of paranoia, and the widespread uncertainty and fear of change represented a golden opportunity for threat actors. This book discusses and explains innovative technologies such as blockchain and methods to defend from Advanced Persistent Threats (APTs), some of the key legal and ethical data challenges to data privacy and security presented by the COVID-19 pandemic, and their potential consequences. It then turns to improved decision making in cyber security, also known as cyber situational awareness, by analysing security events and comparing data mining techniques, specifically classification techniques, when applied to cyber security data. In addition, the book illustrates the importance of cyber security, particularly information integrity and surveillance, in dealing with an on-going, infectious crisis. Aspects addressed range from the spread of misinformation, which can lead people to actively work against measures designed to ensure public safety and minimise the spread of the virus, to concerns over the approaches taken to monitor, track, trace and isolate infectious cases through the use of technology. In closing, the book considers the legal, social and ethical cyber and information security implications of the pandemic and responses to it from the perspectives of confidentiality, integrity and availability.
Combating Women's Health Issues with Machine Learning by D. Jude Hemanth,Meenu Gupta Pdf
The main focus of this book is the examination of women’s health issues and the role machine learning can play as a solution to these challenges. This book will illustrate advanced, innovative techniques/frameworks/concepts/machine learning methodologies, enhancing the future healthcare system. Combating Women’s Health Issues with Machine Learning: Challenges and Solutions examines the fundamental concepts and analysis of machine learning algorithms. The editors and authors of this book examine new approaches for different age-related medical issues that women face. Topics range from diagnosing diseases such as breast and ovarian cancer to using deep learning in prenatal ultrasound diagnosis. The authors also examine the best machine learning classifier for constructing the most accurate predictive model for women’s infertility risk. Among the topics discussed are gender differences in type 2 diabetes care and its management as it relates to gender using artificial intelligence. The book also discusses advanced techniques for evaluating and managing cardiovascular disease symptoms, which are more common in women but often overlooked or misdiagnosed by many healthcare providers. The book concludes by presenting future considerations and challenges in the field of women’s health using artificial intelligence. This book is intended for medical researchers, healthcare technicians, scientists, programmers and graduate-level students looking to understand better and develop applications of machine learning/deep learning in healthcare scenarios, especially concerning women’s health conditions.
Transnational Organized Crime by Staiano, Fulvia Pdf
This timely book provides a critical consideration of one of the most pressing matters confronting global and regional strategies for suppressing transnational organized crime today: the question of the scope and rationale of States’ criminal jurisdiction over these cross-border offences. It shines a light on the complex challenges posed by transnational organized crime to international criminal law.
Digital Forensics and Internet of Things by Anita Gehlot,Rajesh Singh,Jaskaran Singh,Neeta Raj Sharma Pdf
DIGITAL FORENSICS AND INTERNET OF THINGS It pays to be ahead of the criminal, and this book helps organizations and people to create a path to achieve this goal. The book discusses applications and challenges professionals encounter in the burgeoning field of IoT forensics. IoT forensics attempts to align its workflow to that of any forensics practice—investigators identify, interpret, preserve, analyze and present any relevant data. As with any investigation, a timeline is constructed, and, with the aid of smart devices providing data, investigators might be able to capture much more specific data points than in a traditional crime. However, collecting this data can often be a challenge, as it frequently doesn’t live on the device itself, but rather in the provider’s cloud platform. If you can get the data off the device, you’ll have to employ one of a variety of methods given the diverse nature of IoT devices hardware, software, and firmware. So, while robust and insightful data is available, acquiring it is no small undertaking. Digital Forensics and Internet of Things encompasses: State-of-the-art research and standards concerning IoT forensics and traditional digital forensics Compares and contrasts IoT forensic techniques with those of traditional digital forensics standards Identifies the driving factors of the slow maturation of IoT forensic standards and possible solutions Applies recommended standards gathered from IoT forensic literature in hands-on experiments to test their effectiveness across multiple IoT devices Provides educated recommendations on developing and establishing IoT forensic standards, research, and areas that merit further study. Audience Researchers and scientists in forensic sciences, computer sciences, electronics engineering, embedded systems, information technology.
The SAGE Handbook of Digital Society by William Housley,Adam Edwards,Roser Beneito-Montagut,Richard Fitzgerald Pdf
This SAGE Handbook brings together cutting edge social scientific research and theoretical insight into the emerging contours of digital society. Chapters explore the relationship between digitisation, social organisation and social transformation at both the macro and micro level, making this a valuable resource for postgraduate students and academics conducting research across the social sciences. The topics covered are impressively far-ranging and timely, including machine learning, social media, surveillance, misinformation, digital labour, and beyond. This innovative Handbook perfectly captures the state of the art of a field which is rapidly gaining cross-disciplinary interest and global importance, and establishes a thematic framework for future teaching and research. Part 1: Theorising Digital Societies Part 2: Researching Digital Societies Part 3: Sociotechnical Systems and Disruptive Technologies in Action Part 4: Digital Society and New Social Dilemmas Part 5: Governance and Regulation Part 6: Digital Futures
Disruptive Developments in Biomedical Applications by Swati V. Shinde,Parikshit N. Mahalle,Varsha Bendre,Oscar Castillo Pdf
This book covers advancements and future challenges in biomedical application development using disruptive technologies like artificial intelligence (AI), the Internet of Things (IoT), and signal processing. The book is divided into four main sections, namely, medical image processing using AI; IoT and biomedical devices; biomedical signal processing; and electronic health records, including advances in biomedical systems. It includes different case studies of biomedical applications using different AI algorithms related to diabetes, skin cancer, breast cancer, cervical cancer, and osteoarthritis. Features: Covers different technologies like AI, IoT, and signal processing in the context of biomedical applications. Reviews medical image analysis, disease detection, and prediction. Comprehends the advantage of recent technologies for medical record keeping through electronic health records (EHRs). Presents state-of-the-art research in the field of biomedical engineering using various physiological signals. Explores different bio sensors used in healthcare applications using IOT. This book is aimed at graduate students and researchers in AI, medical imaging, biomedical engineering, and IoT.
Social Media Analytics, Strategies and Governance by Hamid Jahankhani,Stefan Kendzierskyj,Reza Montasari,Nishan Chelvachandran Pdf
Social media has spread rapidly on the global stage, driving consumers’ attention and influence, both consciously and subconsciously. Whilst this type of platform may have been initially designed as a tool for open communication and expression, it is also being utilized as a digital tool, with widescale use cases. The intelligence explosion, information overload and disinformation play a significant part regarding individual, group and country perceptions. The complex nature of this data explosion created an increasing demand and use of artificial intelligence (AI) and machine learning (ML), to help provide ‘big insights’ to ‘big data’. AI and ML enable the analysis and dissemination of vast amounts of data, however the ungoverned pace at which AI and autonomous systems have been deployed, has created unforeseen problems. Many algorithms and AI systems have been trained on limited or unverified datasets, creating inbuilt and unseen biases. Where these algorithmic tools have been deployed in high impact systems, there are documented occurrences of disastrous decision making and outcomes that have negatively impacted people and communities. Little to no work had been conducted in its vulnerability and ability to exploit AI itself. So, AI and autonomous systems, whilst being a force for societal good, could have the potential to create and exacerbate societies greatest challenges. This is a cohesive volume that addresses challenging problems and presents a range of innovative approaches and discussion.
Cybersecurity in the Age of Smart Societies by Hamid Jahankhani Pdf
This book provides an opportunity for researchers, scientists, government officials, strategist and operators and maintainers of large, complex and advanced systems and infrastructure to update their knowledge with the state of best practice in the challenging domains whilst networking with the leading representatives, researchers and solution providers. The ongoing pandemic has created a new level of threats which presents new challenges around privacy, data protection, malicious application, unprotected networks or networks with basic protection that are being used as a gateway to larger infrastructure with complicated architecture, and unintentional misuse such as those associated with algorithmic bias. All these have increased the number of attack vectors that can be used to attack such networks. Drawing on 13 years of successful events on information security, digital forensics and cyber-crime, the 14th ICGS3-22 conference aims to provide attendees with an information-packed agenda with representatives from across the industry and the globe. The challenges of complexity, rapid pace of change and risk/opportunity issues associated with modern products, systems, special events and infrastructures. In an era of unprecedented volatile, political and economic environment across the world, computer-based systems face ever more increasing challenges, disputes and responsibilities, and whilst the Internet has created a global platform for the exchange of ideas, goods and services, it has also created boundless opportunities for cyber-crime. This volume presents new materials and contribute to knowledge through the technological advances that are being made across artificial intelligence (AI), machine learning, blockchain and quantum computing. These technologies driven by a digital revolution are expected to be disruptive and provide major digital transformation in the way societies operate today. As result, although these advances provide social and economic benefits, but, also, provide new challenges that security industry need to raise their game to combat them.