Confluence Of Ai Machine And Deep Learning In Cyber Forensics

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Confluence of AI, Machine, and Deep Learning in Cyber Forensics

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

Author : Misra, Sanjay,Arumugam, Chamundeswari,Jaganathan, Suresh,S., Saraswathi
Publisher : IGI Global
Page : 248 pages
File Size : 47,8 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.

Countering Cyberterrorism

Reza Montasari
Countering Cyberterrorism Book PDF

Author : Reza Montasari
Publisher : Springer Nature
Page : 175 pages
File Size : 47,6 Mb
Release : 2023-01-01
Category : Computers
ISBN : 9783031219207

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Countering Cyberterrorism by Reza Montasari Pdf

This book provides a comprehensive analysis covering the confluence of Artificial Intelligence (AI), Cyber Forensics and Digital Policing in the context of the United Kingdom (UK), United States (US) and European Union (EU) national cybersecurity. More specifically, this book explores ways in which the adoption of AI algorithms (such as Machine Learning, Deep Learning, Natural Language Processing, and Big Data Predictive Analytics (BDPAs) transforms law enforcement agencies (LEAs) and intelligence service practices. It explores the roles that these technologies play in the manufacture of security, the threats to freedom and the levels of social control in the surveillance state. This book also examines the malevolent use of AI and associated technologies by state and non-state actors. Along with this analysis, it investigates the key legal, political, ethical, privacy and human rights implications of the national security uses of AI in the stated democracies. This book provides a set of policy recommendations to help to mitigate these challenges. Researchers working in the security field as well advanced level students in computer science focused on security will find this book useful as a reference. Cyber security professionals, network security analysts, police and law enforcement agencies will also want to purchase this book.

Artificial Intelligence and Blockchain in Digital Forensics

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

Author : P. Karthikeyan,Hari Mohan Pande,Velliangiri Sarveshwaran
Publisher : CRC Press
Page : 297 pages
File Size : 55,6 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.

Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity

Lobo, Victor,Correia, Anacleto
Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity Book PDF

Author : Lobo, Victor,Correia, Anacleto
Publisher : IGI Global
Page : 292 pages
File Size : 46,9 Mb
Release : 2022-06-24
Category : Computers
ISBN : 9781799894322

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Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity by Lobo, Victor,Correia, Anacleto Pdf

The growth of innovative cyber threats, many based on metamorphosing techniques, has led to security breaches and the exposure of critical information in sites that were thought to be impenetrable. The consequences of these hacking actions were, inevitably, privacy violation, data corruption, or information leaking. Machine learning and data mining techniques have significant applications in the domains of privacy protection and cybersecurity, including intrusion detection, authentication, and website defacement detection, that can help to combat these breaches. Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity provides machine and deep learning methods for analysis and characterization of events regarding privacy and anomaly detection as well as for establishing predictive models for cyber attacks or privacy violations. It provides case studies of the use of these techniques and discusses the expected future developments on privacy and cybersecurity applications. Covering topics such as behavior-based authentication, machine learning attacks, and privacy preservation, this book is a crucial resource for IT specialists, computer engineers, industry professionals, privacy specialists, security professionals, consultants, researchers, academicians, and students and educators of higher education.

New Approaches to Data Analytics and Internet of Things Through Digital Twin

Karthikeyan, P.,Katina, Polinpapilinho F.,Anandaraj, S.P.
New Approaches to Data Analytics and Internet of Things Through Digital Twin Book PDF

Author : Karthikeyan, P.,Katina, Polinpapilinho F.,Anandaraj, S.P.
Publisher : IGI Global
Page : 326 pages
File Size : 44,5 Mb
Release : 2022-09-30
Category : Computers
ISBN : 9781668457245

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New Approaches to Data Analytics and Internet of Things Through Digital Twin by Karthikeyan, P.,Katina, Polinpapilinho F.,Anandaraj, S.P. Pdf

Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, and difficulties of data analytics and the internet of things in today’s modern world. New Approaches to Data Analytics and Internet of Things Through Digital Twin considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. Covering key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Deep Learning, Reinforcement Learning, and the Rise of Intelligent Systems

Uddin, M. Irfan,Mashwani, Wali Khan
Deep Learning Reinforcement Learning and the Rise of Intelligent Systems Book PDF

Author : Uddin, M. Irfan,Mashwani, Wali Khan
Publisher : IGI Global
Page : 307 pages
File Size : 53,9 Mb
Release : 2024-02-26
Category : Computers
ISBN : 9798369317396

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Deep Learning, Reinforcement Learning, and the Rise of Intelligent Systems by Uddin, M. Irfan,Mashwani, Wali Khan Pdf

The applications of rapidly advancing intelligent systems are so varied that many are still yet to be discovered. There is often a disconnect between experts in computer science, artificial intelligence, machine learning, robotics, and other specialties, which inhibits the potential for the expansion of this technology and its many benefits. A resource that encourages interdisciplinary collaboration is needed to bridge the gap between these respected leaders of their own fields. Deep Learning, Reinforcement Learning, and the Rise of Intelligent Systems represents an exploration of the forefront of artificial intelligence, navigating the complexities of this field and its many applications. This guide expertly navigates through the intricate domains of deep learning and reinforcement learning, offering an in-depth journey through foundational principles, advanced methodologies, and cutting-edge algorithms shaping the trajectory of intelligent systems. The book covers an introduction to artificial intelligence and its subfields, foundational aspects of deep learning, a demystification of the architecture of neural networks, the mechanics of backpropagation, and the intricacies of critical elements such as activation and loss functions. The book serves as a valuable educational resource for professionals. Its structured approach makes it an ideal reference for students, researchers, and industry professionals.

Methodologies, Frameworks, and Applications of Machine Learning

Srivastava, Pramod Kumar,Yadav, Ashok Kumar
Methodologies Frameworks and Applications of Machine Learning Book PDF

Author : Srivastava, Pramod Kumar,Yadav, Ashok Kumar
Publisher : IGI Global
Page : 315 pages
File Size : 45,5 Mb
Release : 2024-03-22
Category : Computers
ISBN : 9798369310632

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Methodologies, Frameworks, and Applications of Machine Learning by Srivastava, Pramod Kumar,Yadav, Ashok Kumar Pdf

Technology is constantly evolving, and machine learning is positioned to become a pivotal tool with the power to transform industries and revolutionize everyday life. This book underscores the urgency of leveraging the latest machine learning methodologies and theoretical advancements, all while harnessing a wealth of realistic data and affordable computational resources. Machine learning is no longer confined to theoretical domains; it is now a vital component in healthcare, manufacturing, education, finance, law enforcement, and marketing, ushering in an era of data-driven decision-making. Academic scholars seeking to unlock the potential of machine learning in the context of Industry 5.0 and advanced IoT applications will find that the groundbreaking book, Methodologies, Frameworks, and Applications of Machine Learning, introduces an unmissable opportunity to delve into the forefront of modern research and application. This book offers a wealth of knowledge and practical insights across a wide array of topics, ranging from conceptual frameworks and methodological approaches to the application of probability theory, statistical techniques, and machine learning in domains as diverse as e-government, healthcare, cyber-physical systems, and sustainable development, this comprehensive guide equips you with the tools to navigate the complexities of Industry 5.0 and the Internet of Things (IoT).

Controlling Epidemics With Mathematical and Machine Learning Models

Varghese, Abraham,Lacap, Jr., Eduardo M.,Sajath, Ibrahim,Kumar, M. Kamal,Kolamban, Shajidmon
Controlling Epidemics With Mathematical and Machine Learning Models Book PDF

Author : Varghese, Abraham,Lacap, Jr., Eduardo M.,Sajath, Ibrahim,Kumar, M. Kamal,Kolamban, Shajidmon
Publisher : IGI Global
Page : 278 pages
File Size : 52,8 Mb
Release : 2022-10-21
Category : Medical
ISBN : 9781799883449

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Controlling Epidemics With Mathematical and Machine Learning Models by Varghese, Abraham,Lacap, Jr., Eduardo M.,Sajath, Ibrahim,Kumar, M. Kamal,Kolamban, Shajidmon Pdf

Communicable diseases have been an important part of human history. Epidemics afflicted populations, causing many deaths before gradually fading away and emerging again years after. Epidemics of infectious diseases are occurring more often, and spreading faster and further than ever, in many different regions of the world. The scientific community, in addition to its accelerated efforts to develop an effective treatment and vaccination, is also playing an important role in advising policymakers on possible non-pharmacological approaches to limit the catastrophic impact of epidemics using mathematical and machine learning models. Controlling Epidemics With Mathematical and Machine Learning Models provides mathematical and machine learning models for epidemical diseases, with special attention given to the COVID-19 pandemic. It gives mathematical proof of the stability and size of diseases. Covering topics such as compartmental models, reproduction number, and SIR model simulation, this premier reference source is an essential resource for statisticians, government officials, health professionals, epidemiologists, sociologists, students and educators of higher education, librarians, researchers, and academicians.

AI and Blockchain Optimization Techniques in Aerospace Engineering

Vignesh, U.,Ratnakumar, Rahul,Mahdi Al-Obaidi, Abdulkareem Sh.
AI and Blockchain Optimization Techniques in Aerospace Engineering Book PDF

Author : Vignesh, U.,Ratnakumar, Rahul,Mahdi Al-Obaidi, Abdulkareem Sh.
Publisher : IGI Global
Page : 272 pages
File Size : 49,7 Mb
Release : 2024-03-05
Category : Technology & Engineering
ISBN : 9798369314920

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AI and Blockchain Optimization Techniques in Aerospace Engineering by Vignesh, U.,Ratnakumar, Rahul,Mahdi Al-Obaidi, Abdulkareem Sh. Pdf

The amalgamation of artificial intelligence (AI), optimization techniques, and blockchain is revolutionizing how to conceptualize, design, and operate aerospace systems. While optimization techniques are pivotal in streamlining aerospace processes, security challenges have recently surfaced. AI and Blockchain Optimization Techniques in Aerospace Engineering delves into the transformative impact of technologies on various facets of the aerospace industry, offering a multidimensional solution to overcome security concerns and enhance the overall efficiency of aerospace systems The book explores how machine learning reshapes aerospace systems by automating complex tasks through self/reinforced learning methods. From air traffic data analysis to flight scheduling, geographical information, and navigation, machine learning has become an indispensable tool, offering valuable insights that enhance aerospace operations. Simultaneously, blockchain technology, with its inherent characteristics of decentralization and tamper-proof ledgers, ensures transparency, accountability, and security in transactions, providing an innovative approach to data integrity and system resilience. Designed for technology development professionals, academicians, data scientists, industrial experts, researchers, and students, the book offers a panoramic view of the latest innovations in the field.

Applying AI-Based IoT Systems to Simulation-Based Information Retrieval

Madhulika, Bhatia,Surabhi, Bhatia,Tanwar, Poonam,Kaur, Kuljeet
Applying AI Based IoT Systems to Simulation Based Information Retrieval Book PDF

Author : Madhulika, Bhatia,Surabhi, Bhatia,Tanwar, Poonam,Kaur, Kuljeet
Publisher : IGI Global
Page : 249 pages
File Size : 41,5 Mb
Release : 2023-05-01
Category : Computers
ISBN : 9781668452561

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Applying AI-Based IoT Systems to Simulation-Based Information Retrieval by Madhulika, Bhatia,Surabhi, Bhatia,Tanwar, Poonam,Kaur, Kuljeet Pdf

Communication based on the internet of things (IoT) generates huge amounts of data from sensors over time, which opens a wide range of applications and areas for researchers. The application of analytics, machine learning, and deep learning techniques over such a large volume of data is a very challenging task. Therefore, it is essential to find patterns, retrieve novel insights, and predict future behavior using this large amount of sensory data. Artificial intelligence (AI) has an important role in facilitating analytics and learning in the IoT devices. Applying AI-Based IoT Systems to Simulation-Based Information Retrieval provides relevant frameworks and the latest empirical research findings in the area. It is ideal for professionals who wish to improve their understanding of the strategic role of trust at different levels of the information and knowledge society and trust at the levels of the global economy, networks and organizations, teams and work groups, information systems, and individuals as actors in the networked environments. Covering topics such as blockchain visualization, computer-aided drug discovery, and health monitoring, this premier reference source is an excellent resource for business leaders and executives, IT managers, security professionals, data scientists, students and faculty of higher education, librarians, hospital administrators, researchers, and academicians.

Stochastic Processes and Their Applications in Artificial Intelligence

Ananth, Christo,Anbazhagan, N.,Goh, Mark
Stochastic Processes and Their Applications in Artificial Intelligence Book PDF

Author : Ananth, Christo,Anbazhagan, N.,Goh, Mark
Publisher : IGI Global
Page : 238 pages
File Size : 50,6 Mb
Release : 2023-07-10
Category : Mathematics
ISBN : 9781668476819

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Stochastic Processes and Their Applications in Artificial Intelligence by Ananth, Christo,Anbazhagan, N.,Goh, Mark Pdf

Stochastic processes have a wide range of applications ranging from image processing, neuroscience, bioinformatics, financial management, and statistics. Mathematical, physical, and engineering systems use stochastic processes for modeling and reasoning phenomena. While comparing AI-stochastic systems with other counterpart systems, we are able to understand their significance, thereby applying new techniques to obtain new real-time results and solutions. Stochastic Processes and Their Applications in Artificial Intelligence opens doors for artificial intelligence experts to use stochastic processes as an effective tool in real-world problems in computational biology, speech recognition, natural language processing, and reinforcement learning. Covering key topics such as social media, big data, and artificial intelligence models, this reference work is ideal for mathematicians, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.

Restorative Justice and Practices in the 21st Century

Vah Seliskar, Holli
Restorative Justice and Practices in the 21st Century Book PDF

Author : Vah Seliskar, Holli
Publisher : IGI Global
Page : 340 pages
File Size : 42,6 Mb
Release : 2023-04-25
Category : Social Science
ISBN : 9781668461471

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Restorative Justice and Practices in the 21st Century by Vah Seliskar, Holli Pdf

Restorative justice is a conceptual and practical framework for repairing any harm that may have been caused either to people, property, or things. It is essential to investigate examples, scenarios, perspectives, strategies, and implications for the use of restorative justice in diverse settings, including K-12 settings, colleges and universities, the workplace, and within public safety organizations and departments. Emphasis must also be placed on diversity, equity, belonging, and inclusion and how restorative practices foster the use of inclusive practices and accessibility for all persons. Restorative Justice and Practices in the 21st Century offers broad perspectives across numerous disciplines and professions and provides restorative practitioners with a timely account of what restorative justice and practices may offer to their respective organizations, school, or agency. It provides possible strategies and actions to implement restorative practices as well as how restorative practices can provide different strategies and methods in handling conflict, disputes, and discipline. Covering topics such as equity and inequalities, pedagogical reflection, and indigenous roots, this premier reference source is an essential resource for administrators and educators of both K-12 and higher education, public safety officials, law enforcement, corrections officers, students of higher education, librarians, researchers, and academicians.

Bio-Inspired Optimization Techniques in Blockchain Systems

Vignesh, U.,M., Manikandan,Doshi, Ruchi
Bio Inspired Optimization Techniques in Blockchain Systems Book PDF

Author : Vignesh, U.,M., Manikandan,Doshi, Ruchi
Publisher : IGI Global
Page : 306 pages
File Size : 47,7 Mb
Release : 2024-01-29
Category : Computers
ISBN : 9798369311325

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Bio-Inspired Optimization Techniques in Blockchain Systems by Vignesh, U.,M., Manikandan,Doshi, Ruchi Pdf

In the dynamic landscape of bioinformatics and blockchain technology, a profound challenge is evident: ensuring secure exchange and analysis of complex biological data while maintaining data integrity and ownership. Traditional methods fall short in seamlessly transferring genomic data, spurring the fusion of blockchain innovation and optimization algorithms as a groundbreaking solution. Biology-Inspired Optimization Techniques in Blockchain Systems directly addresses the data integrity and ownership dilemma in bioinformatics and blockchain. Despite the intricacies of genomic data, blockchain's potential solution faces obstacles like data volume and slow transactions. These challenges are adeptly overcome through optimization algorithms. The book, authored by experts in bioinformatics, blockchain, and optimization, offers a comprehensive guide, showcasing how blockchain architecture and biological data intricacies can harmonize. It provides a blueprint for using blockchain to store genomic variants and aligned reads. This work empowers developers, data scientists, and researchers to overcome technological barriers, redefining the landscape of bioinformatics and beyond.

Bio-inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies

Bhowmick, Parijat,Das, Sima,Arvin, Farshad
Bio inspired Swarm Robotics and Control Algorithms Mechanisms and Strategies Book PDF

Author : Bhowmick, Parijat,Das, Sima,Arvin, Farshad
Publisher : IGI Global
Page : 281 pages
File Size : 54,9 Mb
Release : 2024-04-23
Category : Technology & Engineering
ISBN : 9798369312780

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Bio-inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies by Bhowmick, Parijat,Das, Sima,Arvin, Farshad Pdf

The academic community is currently facing the challenge of navigating the complexities of swarm robotics. This field demands understanding the design, control, and coordination of autonomous robotic swarms. The intricacies of developing algorithms that facilitate communication, cooperation, and adaptation among simple individual agents remain a formidable obstacle. Addressing issues like task allocation, formation control, path planning, and decentralized decision-making are pivotal to unlocking the true potential of swarm robotics. Bio-inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies immerses readers in the cutting-edge realm of swarm robotics, a discipline inspired by the intricate choreography observed in biological systems like insect colonies, bird flocks, and fish schools. Encompassing a rich array of bio-inspired algorithms, mechanisms, and strategies, the text elucidates how robots can communicate, cooperate, and adapt within dynamic environments. The book propels robotics, automation, and artificial intelligence advancements by fostering interdisciplinary connections and charting a course toward more efficient and resilient multi-robot systems. This book is ideal for biologists, engineers, and computer scientists to join forces in unlocking the full potential of swarm robotics.

Navigating Innovative Technologies and Intelligent Systems in Modern Education

Bhatia, Madhulika,Mushtaq, Muhammad Tahir
Navigating Innovative Technologies and Intelligent Systems in Modern Education Book PDF

Author : Bhatia, Madhulika,Mushtaq, Muhammad Tahir
Publisher : IGI Global
Page : 326 pages
File Size : 48,7 Mb
Release : 2024-03-18
Category : Education
ISBN : 9798369353721

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Navigating Innovative Technologies and Intelligent Systems in Modern Education by Bhatia, Madhulika,Mushtaq, Muhammad Tahir Pdf

In traditional educational settings, teachers often need help engaging students, adapting to diverse learning styles, and keeping pace with technological advancements, which can lead to disengagement, limited learning outcomes, and a lack of preparation for the demands of the modern world. Navigating Innovative Technologies and Intelligent Systems in Modern Education offers a transformative solution to these challenges. By exploring innovative strategies such as flipped learning, gamification, and personalized instruction, this book equips educators with the tools to create dynamic, student-centered learning environments. It emphasizes the importance of leveraging digital tools and resources to enhance teaching, assessment, and feedback, ensuring educators stay at the forefront of modern education. By implementing the strategies outlined in this book, educators can create inclusive, interactive classrooms that inspire, motivate, and empower students to reach their full potential.