Advanced Smart Computing Technologies in Cybersecurity and Forensics
Advanced Smart Computing Technologies in Cybersecurity and Forensics

Author: Keshav Kaushik

Publisher: CRC Press

Published: 2021-12-15

Total Pages: 273

ISBN-13: 1000520617

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This book addresses the topics related to artificial intelligence, the Internet of Things, blockchain technology, and machine learning. It brings together researchers, developers, practitioners, and users interested in cybersecurity and forensics. The first objective is to learn and understand the need for and impact of advanced cybersecurity and forensics and its implementation with multiple smart computational technologies. This objective answers why and how cybersecurity and forensics have evolved as one of the most promising and widely-accepted technologies globally and has widely-accepted applications. The second objective is to learn how to use advanced cybersecurity and forensics practices to answer computational problems where confidentiality, integrity, and availability are essential aspects to handle and answer. This book is structured in such a way so that the field of study is relevant to each reader’s major or interests. It aims to help each reader see the relevance of cybersecurity and forensics to their career or interests. This book intends to encourage researchers to develop novel theories to enrich their scholarly knowledge to achieve sustainable development and foster sustainability. Readers will gain valuable knowledge and insights about smart computing technologies using this exciting book. This book: • Includes detailed applications of cybersecurity and forensics for real-life problems • Addresses the challenges and solutions related to implementing cybersecurity in multiple domains of smart computational technologies • Includes the latest trends and areas of research in cybersecurity and forensics • Offers both quantitative and qualitative assessments of the topics Includes case studies that will be helpful for the researchers Prof. Keshav Kaushik is Assistant Professor in the Department of Systemics, School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India. Dr. Shubham Tayal is Assistant Professor at SR University, Warangal, India. Dr. Akashdeep Bhardwaj is Professor (Cyber Security & Digital Forensics) at the University of Petroleum & Energy Studies (UPES), Dehradun, India. Dr. Manoj Kumar is Assistant Professor (SG) (SoCS) at the University of Petroleum and Energy Studies, Dehradun, India.

Using Computational Intelligence for the Dark Web and Illicit Behavior Detection
Using Computational Intelligence for the Dark Web and Illicit Behavior Detection

Author: Rawat, Romil

Publisher: IGI Global

Published: 2022-05-06

Total Pages: 336

ISBN-13: 1668464454

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The Dark Web is a known hub that hosts myriad illegal activities behind the veil of anonymity for its users. For years now, law enforcement has been struggling to track these illicit activities and put them to an end. However, the depth and anonymity of the Dark Web has made these efforts difficult, and as cyber criminals have more advanced technologies available to them, the struggle appears to only have the potential to worsen. Law enforcement and government organizations also have emerging technologies on their side, however. It is essential for these organizations to stay up to date on these emerging technologies, such as computational intelligence, in order to put a stop to the illicit activities and behaviors presented in the Dark Web. Using Computational Intelligence for the Dark Web and Illicit Behavior Detection presents the emerging technologies and applications of computational intelligence for the law enforcement of the Dark Web. It features analysis into cybercrime data, examples of the application of computational intelligence in the Dark Web, and provides future opportunities for growth in this field. Covering topics such as cyber threat detection, crime prediction, and keyword extraction, this premier reference source is an essential resource for government organizations, law enforcement agencies, non-profit organizations, politicians, computer scientists, researchers, students, and academicians.

Proceedings of International Conference on Network Security and Blockchain Technology
Proceedings of International Conference on Network Security and Blockchain Technology

Author: Debasis Giri

Publisher: Springer Nature

Published: 2022-06-14

Total Pages: 415

ISBN-13: 9811931828

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The book is a collection of best selected research papers presented at International Conference on Network Security and Blockchain Technology (ICNSBT 2021), organized by Computer Society of India—Kolkata Chapter, India, during December 2–4, 2021. The book discusses recent developments and contemporary research in cryptography, network security, cyber security, and blockchain technology. Authors are eminent academicians, scientists, researchers, and scholars in their respective fields from across the world.

Advancements in Interdisciplinary Research
Advancements in Interdisciplinary Research

Author: Vijayan Sugumaran

Publisher: Springer Nature

Published: 2023-01-20

Total Pages: 562

ISBN-13: 3031237242

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This volume constitutes selected and revised papers presented at the First International Conference on Advancements in Interdisciplinary Research, AIR 2022, held in Allahabad, India, in May 2022. The 49 papers were thoroughly reviewed and selected from the 252 submissions. They are organized in topical sections on ​novel technologies enabled secured privacy models and optimized networking infrastructures toward secure industries; developments towards sustainable healthcare sector; machine learning and deep learning enabled applications in different sectors; robotics and computer vision for intelligent automation in industries; trending technologies: frameworks and applications focusing real life issues.

Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence
Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence

Author: Rawat, Romil

Publisher: IGI Global

Published: 2022-05-13

Total Pages: 300

ISBN-13: 1668439441

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Data stealing is a major concern on the internet as hackers and criminals have begun using simple tricks to hack social networks and violate privacy. Cyber-attack methods are progressively modern, and obstructing the attack is increasingly troublesome, regardless of whether countermeasures are taken. The Dark Web especially presents challenges to information privacy and security due to anonymous behaviors and the unavailability of data. To better understand and prevent cyberattacks, it is vital to have a forecast of cyberattacks, proper safety measures, and viable use of cyber-intelligence that empowers these activities. Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence discusses cyberattacks, security, and safety measures to protect data and presents the shortcomings faced by researchers and practitioners due to the unavailability of information about the Dark Web. Attacker techniques in these Dark Web environments are highlighted, along with intrusion detection practices and crawling of hidden content. Covering a range of topics such as malware and fog computing, this reference work is ideal for researchers, academicians, practitioners, industry professionals, computer scientists, scholars, instructors, and students.

Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection
Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection

Author: Shilpa Mahajan

Publisher: John Wiley & Sons

Published: 2024-06-12

Total Pages: 373

ISBN-13: 139419644X

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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.

Autonomous Vehicles, Volume 1
Autonomous Vehicles, Volume 1

Author: Romil Rawat

Publisher: John Wiley & Sons

Published: 2022-11-30

Total Pages: 324

ISBN-13: 1119871964

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AUTONOMOUS VEHICLES Addressing the current challenges, approaches and applications relating to autonomous vehicles, this groundbreaking new volume presents the research and techniques in this growing area, using Internet of Things (IoT), Machine Learning (ML), Deep Learning, and Artificial Intelligence (AI). This book provides and addresses the current challenges, approaches, and applications relating to autonomous vehicles, using Internet of Things (IoT), machine learning, deep learning, and Artificial Intelligence (AI) techniques. Several self-driving or autonomous (“driverless”) cars, trucks, and drones incorporate a variety of IoT devices and sensing technologies such as sensors, gyroscopes, cloud computing, and fog layer, allowing the vehicles to sense, process, and maintain massive amounts of data on traffic, routes, suitable times to travel, potholes, sharp turns, and robots for pipe inspection in the construction and mining industries. Few books are available on the practical applications of unmanned aerial vehicles (UAVs) and autonomous vehicles from a multidisciplinary approach. Further, the available books only cover a few applications and designs in a very limited scope. This new, groundbreaking volume covers real-life applications, business modeling, issues, and solutions that the engineer or industry professional faces every day that can be transformed using intelligent systems design of autonomous systems. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.

Robotic Process Automation
Robotic Process Automation

Author: Romil Rawat

Publisher: John Wiley & Sons

Published: 2023-09-13

Total Pages: 468

ISBN-13: 1394166184

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ROBOTIC PROCESS AUTOMATION Presenting the latest technologies and practices in this ever-changing field, this groundbreaking new volume covers the theoretical challenges and practical solutions for using robotics across a variety of industries, encompassing many disciplines, including mathematics, computer science, electrical engineering, information technology, mechatronics, electronics, bioengineering, and command and software engineering. Robotics is the study of creating devices that can take the place of people and mimic their behaviors. Mechanical engineering, electrical engineering, information engineering, mechatronics, electronics, bioengineering, computer engineering, control engineering, software engineering, mathematics, and other subjects are all included in robotics. Robots can be employed in a variety of scenarios and for a variety of objectives, but many are now being used in hazardous areas (such as radioactive material inspection, bomb detection, and deactivation), manufacturing operations, or in conditions where humans are unable to live (e.g. in space, underwater, in high heat, and clean up and containment of hazardous materials and radiation). Walking, lifting, speaking, cognition, and any other human activity are all attempted by robots. Many of today’s robots are influenced by nature, making bio-inspired robotics a growing area. Defusing explosives, seeking survivors in unstable ruins, and investigating mines and shipwrecks are just a few of the activities that robots are designed to undertake. This groundbreaking new volume presents a Robotic Process Automation (RPA) software technique that makes it simple to create, deploy, and manage software robots that mimic human movements while dealing with digital systems and software. Software robots can interpret what’s on a screen, type the correct keystrokes, traverse systems, locate and extract data, and do a wide variety of predetermined operations, much like people. Software robots can do it quicker and more reliably than humans, without having to stand up and stretch or take a coffee break.

Techniques of Crime Scene Investigation
Techniques of Crime Scene Investigation

Author: Barry A. J. Fisher

Publisher: CRC Press

Published: 2022-07-05

Total Pages: 433

ISBN-13: 1498758169

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"Techniques of Crime Scene Investigation is a staple for any forensic science library and is routinely referenced by professional organizations as a study guide for certifications. It is professionally written and provides updated theoretical and practical applications using real casework. This text is a must-have for any CSI Unit or course teaching Crime Scene Investigation." – Kevin Parmelee, PhD, Detective (ret.), Somerset County, NJ Prosecutor’s Office Since the first English-language edition of Techniques of Crime Scene Investigation was published in 1964, the book has continued to be a seminal work in the field of forensic science, serving as a foundational textbook and reference title for professionals. This Ninth Edition includes several new chapters and has been fully updated and organized to present the effective use of science and technology in support of justice. New coverage to this edition addresses the debunking of a few forensic science disciplines, long thought to have been based on sound science. The book provides students, crime scene investigators, forensic scientists, and attorneys the proper ways to examine crime scenes and collect a wide variety of physical evidence that may be encountered. While it is not possible to cover every imaginable situation, this book is a comprehensive guide that details and promotes best practices and recommendations. In today’s challenging environment, it is essential that law enforcement personnel thoroughly understand and meticulously comply with the forensic evidence procedures that apply to their function in the investigation process. Criminal investigations remain as complex as ever and require professionals from many disciplines to work cooperatively toward the fair and impartial delivery of justice. Practitioners and students alike need to be aware of the increased scrutiny that they will face in the judicial system. Judges are taking a more involved role than ever before as far as the evidence and testimony that they allow into their courtrooms. No longer will substandard forensic science or crime scene investigation be acceptable. Key features: Newly reorganized contents—including 4 brand new chapters—reflects a more logical flow of crime scene processes and procedures Provides an overview of the crime scene investigation process and procedures, from the first officer on the scene through the adjudication of the case Includes several new cases, photos, and updates in technological advances in both digital evidence and DNA in particular Science and technology applied to CSI solves crimes and saves lives. Investigators, prosecutors, and defense attorneys must be able to use forensic tools and resources to their fullest potential and Techniques of Crime Scene Investigation serves as an invaluable resource to further this cause.

Advanced Techniques and Applications of Cybersecurity and Forensics
Advanced Techniques and Applications of Cybersecurity and Forensics

Author: Keshav Kaushik

Publisher: CRC Press

Published: 2024-07-22

Total Pages: 366

ISBN-13: 104003859X

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The book showcases how advanced cybersecurity and forensic techniques can be applied to various computational issues. It further covers the advanced exploitation tools that are used in the domain of ethical hacking and penetration testing. • Focuses on tools used in performing mobile and SIM forensics, static and dynamic memory analysis, and deep web forensics • Covers advanced tools in the domain of data hiding and steganalysis • Discusses the role and application of artificial intelligence and big data in cybersecurity • Elaborates on the use of advanced cybersecurity and forensics techniques in computational issues • Includes numerous open-source tools such as NMAP, Autopsy, and Wireshark used in the domain of digital forensics The text is primarily written for senior undergraduates, graduate students, and academic researchers, in the fields of computer science, electrical engineering, cybersecurity, and forensics.