Using Computational Intelligence For The Dark Web And Illicit Behavior Detection
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Using Computational Intelligence for the Dark Web and Illicit Behavior Detection by Romil Rawat,Upinder Kaur,Shadab Pasha Khan,K. Sakthidasan Sankaran Pdf
Presents the emerging technologies and applications of computational intelligence for the law enforcement of the Dark Web. The book features analysis into cybercrime data, examples of the application of computational intelligence in the Dark Web, and provides future opportunities for growth in the field.
Using Computational Intelligence for the Dark Web and Illicit Behavior Detection by Rawat, Romil,Kaur, Upinder,Khan, Shadab Pasha,Sikarwar, Ranjana,Sankaran, K. Sakthidasan Pdf
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 World Conference on Artificial Intelligence: Advances and Applications by Ashish Kumar Tripathi,Darpan Anand,Atulya K. Nagar Pdf
This book is a collection of outstanding research papers presented at the World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2023), organized by Sir Padampat Singhania University, India and is technically sponsored by Soft Computing Research Society during March 18–19, 2023. The topics covered are agent-based systems, evolutionary algorithms, approximate reasoning, bioinformatics and computational biology, artificial intelligence in modeling and simulation, natural language processing, brain-machine interfaces, collective intelligence, computer vision and speech understanding, data mining, swarm intelligence, machine learning, human-computer interaction, intelligent sensor, devices and applications, and intelligent database systems.
Conversational Artificial Intelligence by Romil Rawat,Rajesh Kumar Chakrawarti,Sanjaya Kumar Sarangi,Piyush Vyas,Mary Sowjanya Alamanda,Kotagiri Srividya,K. Sakthidasan Sankaran Pdf
Conversational AI combines natural language processing (NLP) with traditional software like chatbots, voice assistants, or an interactive voice recognition system to help customers through either a spoken or typed interface. Conversational chatbots that respond to questions promptly and accurately to help customers are a fascinating development since they make the customer service industry somewhat self-sufficient. A well-automated chatbot can decimate staffing needs, but creating one is a time-consuming process. Voice recognition technologies are becoming more critical as AI assistants like Alexa become more popular. Chatbots in the corporate world have advanced technical connections with clients thanks to improvements in artificial intelligence. However, these chatbots’ increased access to sensitive information has raised serious security concerns. Threats are one-time events such as malware and DDOS (Distributed Denial of Service) assaults. Targeted strikes on companies are familiar and frequently lock workers out. User privacy violations are becoming more common, emphasizing the dangers of employing chatbots. Vulnerabilities are systemic problems that enable thieves to break in. Vulnerabilities allow threats to enter the system, hence they are inextricably linked. Malicious chatbots are widely used to spam and advertise in chat rooms by imitating human behavior and discussions, or to trick individuals into disclosing personal information like bank account details.
Mobile Radio Communications and 5G Networks by Nikhil Marriwala,C.C. Tripathi,Shruti Jain,Dinesh Kumar Pdf
This book features selected high-quality papers from the Third International Conference on Mobile Radio Communications and 5G Networks (MRCN 2022), held at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, India, during June 10–12, 2022. The book features original papers by active researchers presented at the International Conference on Mobile Radio Communications and 5G Networks. It includes recent advances and upcoming technologies in the field of cellular systems, 2G/2.5G/3G/4G/5G, and beyond, LTE, WiMAX, WMAN, and other emerging broadband wireless networks, WLAN, WPAN, and various home/personal networking technologies, pervasive and wearable computing and networking, small cells and femtocell networks, wireless mesh networks, vehicular wireless networks, cognitive radio networks and their applications, wireless multimedia networks, green wireless networks, standardization of emerging wireless technologies, power management and energy conservation techniques.
Robotic Process Automation by Romil Rawat,Rajesh Kumar Chakrawarti,Sanjaya Kumar Sarangi,Rahul Choudhary,Anand Singh Gadwal,Vivek Bhardwaj Pdf
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.
Considerations on Cyber Behavior and Mass Technology in Modern Society by Beneventi, Paolo Pdf
In our fast-paced, technology-driven world, there is a strong sense of untapped potential and unfulfilled promises. People today possess an unprecedented amount of power through their technological gadgets but often remain unaware of how to wield it effectively. This lack of understanding and agency leads to a plethora of societal problems, from passive consumerism to environmental degradation, fostering a sense of helplessness. Considerations of Cyber Behavior and Mass Technology in Modern Society offer a comprehensive solution to this pressing issue. It is a scholarly beacon, guiding academic scholars and critical thinkers toward a profound reassessment of our relationship with technology and society. By delving into the intricate web of topics such as active citizenship, global information production, and the coexistence of consumer technology and freedom, our book presents an opportunity to explore the root causes of our modern-day challenges.
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.
Global Perspectives on the Psychology of Terrorism by Chitadze, Nika Pdf
The constant threat of terror leads to the destabilization of the political, economic, and social situation in the state. Lack of confidence in personal safety contributes to the growth of anxiety, fears, and mental stress, which negatively affects psychological health, leading to the development of various psychosomatic disorders among the population. Global Perspectives on the Psychology of Terrorism discusses the psychological aspects of terrorism, including the determination of the main types of terrorism and the psychological characteristics of terrorists and terrorist groups. It further speaks on the negative impact of terrorism on the mass consciousness, as well as the ways to deal with stress in people exposed to the impact of terrorist attacks, features of human behavior in extreme situations, and methods of psychological support in times of crisis. Covering topics such as state terrorism, international security, and cyberterrorism, this premier reference source is an excellent resource for government officials, sociologists, representatives of mass media, non-governmental organizations, politicians, psychologists, students and faculty of higher education, librarians, researchers, and academicians.
Handbook of Research on War Policies, Strategies, and Cyber Wars by Özsungur, Fahri Pdf
In the new world order, conflicts between countries are increasing. Fluctuations in the economy and imbalances in the distribution of scarce resources to developing countries can result in wars. The effect of the recent COVID-19 pandemic and economic crisis has caused changes in the strategies and policies of countries. Technological changes and developments have also triggered cyber wars. Despite this, many countries prefer to fight on the field. The damage to the international economy of wars, which kills civilians and causes serious damage to developing countries, is a current issue. The Handbook of Research on War Policies, Strategies, and Cyber Wars examines the factors that lead to war and the damages caused by war strategies and policies. It is a guide for future generations to develop constructive policies and strategies for living in a peaceful world. Covering topics such as geopolitical consequences, civil liberty, and terrorism, this major reference work is a dynamic resource for policymakers, strategists, government officials, politicians, sociologists, students and educators of higher education, librarians, researchers, and academicians.
Exploring Cyber Criminals and Data Privacy Measures by Mateus-Coelho, Nuno,Cruz-Cunha, Manuela Pdf
In recent years, industries have shifted into the digital domain, as businesses and organizations have used various forms of technology to aid information storage and efficient production methods. Because of these advances, the risk of cybercrime and data security breaches has skyrocketed. Fortunately, cyber security and data privacy research are thriving; however, industry experts must keep themselves updated in this field. Exploring Cyber Criminals and Data Privacy Measures collects cutting-edge research on information security, cybercriminals, and data privacy. It proposes unique strategies for safeguarding and preserving digital information using realistic examples and case studies. Covering key topics such as crime detection, surveillance technologies, and organizational privacy, this major reference work is ideal for cybersecurity professionals, researchers, developers, practitioners, programmers, computer scientists, academicians, security analysts, educators, and students.
Modeling and Simulation of Functional Nanomaterials for Forensic Investigation by Rakha, Allah,Munawar, Anam,Khanna, Virat,Bansal, Suneev Anil Pdf
Nanotechnology continues to contribute to the progress of innovations in the area of forensic science ranging from sensing, DNA monitoring, and counterfeiting to fingerprinting. In recent years, functional nanomaterials are widely applied in nanoscience and forensic investigation. They can be used in future interdisciplinary research by scientists, engineers, and biotechnologists. Modeling and Simulation of Functional Nanomaterials for Forensic Investigation focuses on multiple applications related to forensics and provides information linked with nanoparticles. This book provides nanotechnology results in improving the sensitivity of established forensic techniques. It further focuses on different fabrication and characterization techniques of nanomaterials and relates their characteristics with forensic applications. Covering topics such as explosive detection, nano-forensic testing, and nano-trackers, this premier reference source is a comprehensive resource for material engineers, chemical engineers, nanotechnologists, biotechnologists, forensic scientists, students and educators of higher education, researchers, and academicians.
Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence by Rawat, Romil,Telang, Shrikant,William, P.,Kaur, Upinder,C.U., Om Kumar Pdf
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.
Emerging Technologies and Security in Cloud Computing by Lakshmi, D.,Tyagi, Amit Kumar Pdf
In today's digital age, the exponential growth of cloud computing services has brought significant opportunities for businesses and individuals alike. However, this surge in cloud adoption has also ushered in a host of critical concerns, with the paramount issues being data privacy and security. The goal of protecting sensitive information from cyber threats and ensuring confidentiality has become increasingly challenging for organizations across industries. Emerging Technologies and Security in Cloud Computing is a comprehensive guide designed to tackle these pressing concerns head-on. This authoritative book provides a robust framework for understanding and addressing the multifaceted issues surrounding data privacy and security in the cloud. It serves as a beacon of knowledge for academic scholars, researchers, and IT professionals seeking practical solutions to safeguard sensitive data.