Kids Cybersecurity Using Computational Intelligence Techniques

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Kids Cybersecurity Using Computational Intelligence Techniques

Wael M. S. Yafooz,Hussain Al-Aqrabi,Arafat Al-Dhaqm,Abdelhamid Emara
Kids Cybersecurity Using Computational Intelligence Techniques Book PDF

Author : Wael M. S. Yafooz,Hussain Al-Aqrabi,Arafat Al-Dhaqm,Abdelhamid Emara
Publisher : Springer Nature
Page : 279 pages
File Size : 43,8 Mb
Release : 2023-02-20
Category : Technology & Engineering
ISBN : 9783031211997

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Kids Cybersecurity Using Computational Intelligence Techniques by Wael M. S. Yafooz,Hussain Al-Aqrabi,Arafat Al-Dhaqm,Abdelhamid Emara Pdf

This book introduces and presents the newest up-to-date methods, approaches and technologies on how to detect child cyberbullying on social media as well as monitor kids E-learning, monitor games designed and social media activities for kids. On a daily basis, children are exposed to harmful content online. There have been many attempts to resolve this issue by conducting methods based on rating and ranking as well as reviewing comments to show the relevancy of these videos to children; unfortunately, there still remains a lack of supervision on videos dedicated to kids. This book also introduces a new algorithm for content analysis against harmful information for kids. Furthermore, it establishes the goal to track useful information of kids and institutes detection of kid’s textual aggression through methods of machine and deep learning and natural language processing for a safer space for children on social media and online and to combat problems, such as lack of supervision, cyberbullying, kid’s exposure to harmful content. This book is beneficial to postgraduate students and researchers' concerns on recent methods and approaches to kids' cybersecurity.

Combatting Cyberbullying in Digital Media with Artificial Intelligence

Mohamed Lahby,Al-Sakib Khan Pathan,Yassine Maleh
Combatting Cyberbullying in Digital Media with Artificial Intelligence Book PDF

Author : Mohamed Lahby,Al-Sakib Khan Pathan,Yassine Maleh
Publisher : CRC Press
Page : 303 pages
File Size : 50,8 Mb
Release : 2023-12-13
Category : Computers
ISBN : 9781003825036

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Combatting Cyberbullying in Digital Media with Artificial Intelligence by Mohamed Lahby,Al-Sakib Khan Pathan,Yassine Maleh Pdf

Rapid advancements in mobile computing and communication technology and recent technological progress have opened up a plethora of opportunities. These advancements have expanded knowledge, facilitated global business, enhanced collaboration, and connected people through various digital media platforms. While these virtual platforms have provided new avenues for communication and self-expression, they also pose significant threats to our privacy. As a result, we must remain vigilant against the propagation of electronic violence through social networks. Cyberbullying has emerged as a particularly concerning form of online harassment and bullying, with instances of racism, terrorism, and various types of trolling becoming increasingly prevalent worldwide. Addressing the issue of cyberbullying to find effective solutions is a challenge for the web mining community, particularly within the realm of social media. In this context, artificial intelligence (AI) can serve as a valuable tool in combating the diverse manifestations of cyberbullying on the Internet and social networks. This book presents the latest cutting-edge research, theoretical methods, and novel applications in AI techniques to combat cyberbullying. Discussing new models, practical solutions, and technological advances related to detecting and analyzing cyberbullying is based on AI models and other related techniques. Furthermore, the book helps readers understand AI techniques to combat cyberbullying systematically and forthrightly, as well as future insights and the societal and technical aspects of natural language processing (NLP)-based cyberbullying research efforts. Key Features: Proposes new models, practical solutions and technological advances related to machine intelligence techniques for detecting cyberbullying across multiple social media platforms. Combines both theory and practice so that readers (beginners or experts) of this book can find both a description of the concepts and context related to the machine intelligence. Includes many case studies and applications of machine intelligence for combating cyberbullying.

Computational Intelligence for Cybersecurity Management and Applications

Yassine Maleh,Mamoun Alazab,Soufyane Mounir
Computational Intelligence for Cybersecurity Management and Applications Book PDF

Author : Yassine Maleh,Mamoun Alazab,Soufyane Mounir
Publisher : Unknown
Page : 0 pages
File Size : 48,9 Mb
Release : 2023
Category : COMPUTERS
ISBN : 1003319912

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Computational Intelligence for Cybersecurity Management and Applications by Yassine Maleh,Mamoun Alazab,Soufyane Mounir Pdf

As cyberattacks continue to grow in complexity and number, computational intelligence is helping under-resourced security analysts stay one step ahead of threats. Drawing on threat intelligence from millions of studies, blogs, and news articles, computational intelligence techniques such as machine learning and automatic natural language processing quickly provide the means to identify real threats and dramatically reduce response times. The book collects and reports on recent high-quality research addressing different cybersecurity challenges. It: explores the newest developments in the use of computational intelligence and AI for cybersecurity applications provides several case studies related to computational intelligence techniques for cybersecurity in a wide range of applications (smart health care, blockchain, cyber-physical system, etc.) integrates theoretical and practical aspects of computational intelligence for cybersecurity so that any reader, from novice to expert, may understand the book's explanations of key topics. It offers comprehensive coverage of the essential topics, including: machine learning and deep learning for cybersecurity blockchain for cybersecurity and privacy security engineering for cyber-physical systems AI and data analytics techniques for cybersecurity in smart systems trust in digital systems This book discusses the current state-of-the-art and practical solutions for the following cybersecurity and privacy issues using artificial intelligence techniques and cutting-edge technology. Readers interested in learning more about computational intelligence techniques for cybersecurity applications and management will find this book invaluable. They will get insight into potential avenues for future study on these topics and be able to prioritize their efforts better.

Data-Driven Modelling and Predictive Analytics in Business and Finance

Alex Khang,Rashmi Gujrati,Hayri Uygun,R. K. Tailor,Sanjaya Gaur
Data Driven Modelling and Predictive Analytics in Business and Finance Book PDF

Author : Alex Khang,Rashmi Gujrati,Hayri Uygun,R. K. Tailor,Sanjaya Gaur
Publisher : CRC Press
Page : 443 pages
File Size : 43,6 Mb
Release : 2024-07-24
Category : Computers
ISBN : 9781040088463

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Data-Driven Modelling and Predictive Analytics in Business and Finance by Alex Khang,Rashmi Gujrati,Hayri Uygun,R. K. Tailor,Sanjaya Gaur Pdf

Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent. Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers: Data-driven modelling Predictive analytics Data analytics and visualization tools AI-aided applications Cybersecurity techniques Cloud computing IoT-enabled systems for developing smart financial systems This book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices.

Implementing Computational Intelligence Techniques for Security Systems Design

Yousif Albastaki,Wasan Awad
Implementing Computational Intelligence Techniques for Security Systems Design Book PDF

Author : Yousif Albastaki,Wasan Awad
Publisher : Unknown
Page : 128 pages
File Size : 51,7 Mb
Release : 2020
Category : Computational intelligence
ISBN : 1799824195

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Implementing Computational Intelligence Techniques for Security Systems Design by Yousif Albastaki,Wasan Awad Pdf

"This book explores the applications of computational intelligence and other advanced techniques in information security"--

Hands-On Artificial Intelligence for Cybersecurity

Alessandro Parisi
Hands On Artificial Intelligence for Cybersecurity Book PDF

Author : Alessandro Parisi
Publisher : Packt Publishing Ltd
Page : 331 pages
File Size : 53,8 Mb
Release : 2019-08-02
Category : Computers
ISBN : 9781789805178

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Hands-On Artificial Intelligence for Cybersecurity by Alessandro Parisi Pdf

Build smart cybersecurity systems with the power of machine learning and deep learning to protect your corporate assets Key FeaturesIdentify and predict security threats using artificial intelligenceDevelop intelligent systems that can detect unusual and suspicious patterns and attacksLearn how to test the effectiveness of your AI cybersecurity algorithms and toolsBook Description Today's organizations spend billions of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions. This cybersecurity book presents and demonstrates popular and successful AI approaches and models that you can adapt to detect potential attacks and protect your corporate systems. You'll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and you'll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, you'll be able to apply these strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication. By the end of this book, you'll be ready to develop intelligent systems that can detect unusual and suspicious patterns and attacks, thereby developing strong network security defenses using AI. What you will learnDetect email threats such as spamming and phishing using AICategorize APT, zero-days, and polymorphic malware samplesOvercome antivirus limits in threat detectionPredict network intrusions and detect anomalies with machine learningVerify the strength of biometric authentication procedures with deep learningEvaluate cybersecurity strategies and learn how you can improve themWho this book is for If you’re a cybersecurity professional or ethical hacker who wants to build intelligent systems using the power of machine learning and AI, you’ll find this book useful. Familiarity with cybersecurity concepts and knowledge of Python programming is essential to get the most out of this book.

Cyber Security: Issues and Current Trends

Nitul Dutta,Nilesh Jadav,Sudeep Tanwar,Hiren Kumar Deva Sarma,Emil Pricop
Cyber Security Issues and Current Trends Book PDF

Author : Nitul Dutta,Nilesh Jadav,Sudeep Tanwar,Hiren Kumar Deva Sarma,Emil Pricop
Publisher : Springer Nature
Page : 183 pages
File Size : 55,9 Mb
Release : 2021-10-30
Category : Technology & Engineering
ISBN : 9789811665974

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Cyber Security: Issues and Current Trends by Nitul Dutta,Nilesh Jadav,Sudeep Tanwar,Hiren Kumar Deva Sarma,Emil Pricop Pdf

This book presents various areas related to cybersecurity. Different techniques and tools used by cyberattackers to exploit a system are thoroughly discussed and analyzed in their respective chapters. The content of the book provides an intuition of various issues and challenges of cybersecurity that can help readers to understand and have awareness about it. It starts with a very basic introduction of security, its varied domains, and its implications in any working organization; moreover, it will talk about the risk factor of various attacks and threats. The concept of privacy and anonymity has been taken into consideration in consecutive chapters. Various topics including, The Onion Router (TOR) and other anonymous services, are precisely discussed with a practical approach. Further, chapters to learn the importance of preventive measures such as intrusion detection system (IDS) are also covered. Due to the existence of severe cyberattacks, digital forensics is a must for investigating the crime and to take precautionary measures for the future occurrence of such attacks. A detailed description of cyberinvestigation is covered in a chapter to get readers acquainted with the need and demands. This chapter deals with evidence collection from the victim's device and the system that has importance in the context of an investigation. Content covered in all chapters is foremost and reported in the current trends in several journals and cybertalks. The proposed book is helpful for any reader who is using a computer or any such electronic gadget in their daily routine. The content of the book is prepared to work as a resource to any undergraduate and graduate-level student to get aware about the concept of cybersecurity, various cyberattacks, and threats in the security. In addition to that, it aimed at assisting researchers and developers to build a strong foundation for security provisioning in any newer technology which they are developing.

Proceedings of International Conference on Network Security and Blockchain Technology

Debasis Giri,Jyotsna Kumar Mandal,Kouichi Sakurai,Debashis De
Proceedings of International Conference on Network Security and Blockchain Technology Book PDF

Author : Debasis Giri,Jyotsna Kumar Mandal,Kouichi Sakurai,Debashis De
Publisher : Springer Nature
Page : 415 pages
File Size : 43,6 Mb
Release : 2022-06-14
Category : Technology & Engineering
ISBN : 9789811931826

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Proceedings of International Conference on Network Security and Blockchain Technology by Debasis Giri,Jyotsna Kumar Mandal,Kouichi Sakurai,Debashis De Pdf

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.

Big Data, Cloud Computing and IoT

Sita Rani,Pankaj Bhambri,Aman Kataria,Alex Khang,Arun Kumar Sivaraman
Big Data Cloud Computing and IoT Book PDF

Author : Sita Rani,Pankaj Bhambri,Aman Kataria,Alex Khang,Arun Kumar Sivaraman
Publisher : CRC Press
Page : 337 pages
File Size : 54,9 Mb
Release : 2023-04-19
Category : Computers
ISBN : 9781000862379

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Big Data, Cloud Computing and IoT by Sita Rani,Pankaj Bhambri,Aman Kataria,Alex Khang,Arun Kumar Sivaraman Pdf

Cloud computing, the Internet of Things (IoT), and big data are three significant technological trends affecting the world's largest corporations. This book discusses big data, cloud computing, and the IoT, with a focus on the benefits and implementation problems. In addition, it examines the many structures and applications pertinent to these disciplines. Also, big data, cloud computing, and the IoT are proposed as possible study avenues. Features: Informs about cloud computing, IoT and big data, including theoretical foundations and the most recent empirical findings Provides essential research on the relationship between various technologies and the aggregate influence they have on solving real-world problems Ideal for academicians, developers, researchers, computer scientists, practitioners, information technology professionals, students, scholars, and engineers exploring research on the incorporation of technological innovations to address contemporary societal challenges

Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies

Murugan, Thangavel,E., Nirmala
Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4 0 Technologies Book PDF

Author : Murugan, Thangavel,E., Nirmala
Publisher : IGI Global
Page : 649 pages
File Size : 47,5 Mb
Release : 2023-09-21
Category : Computers
ISBN : 9781668481479

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Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies by Murugan, Thangavel,E., Nirmala Pdf

Disruptive innovations are now propelling Industry 4.0 (I4.0) and presenting new opportunities for value generation in all major industry segments. I4.0 technologies' innovations in cybersecurity and data science provide smart apps and services with accurate real-time monitoring and control. Through enhanced access to real-time information, it also aims to increase overall effectiveness, lower costs, and increase the efficiency of people, processes, and technology. The Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies discusses the technological foundations of cybersecurity and data science within the scope of the I4.0 landscape and details the existing cybersecurity and data science innovations with I4.0 applications, as well as state-of-the-art solutions with regard to both academic research and practical implementations. Covering key topics such as data science, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, computer scientists, scholars, researchers, academicians, practitioners, instructors, and students.

Intelligent Security Systems

Leon Reznik
Intelligent Security Systems Book PDF

Author : Leon Reznik
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 47,7 Mb
Release : 2021-10-19
Category : Computers
ISBN : 9781119771531

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Intelligent Security Systems by Leon Reznik Pdf

INTELLIGENT SECURITY SYSTEMS Dramatically improve your cybersecurity using AI and machine learning In Intelligent Security Systems, distinguished professor and computer scientist Dr. Leon Reznik delivers an expert synthesis of artificial intelligence, machine learning and data science techniques, applied to computer security to assist readers in hardening their computer systems against threats. Emphasizing practical and actionable strategies that can be immediately implemented by industry professionals and computer device’s owners, the author explains how to install and harden firewalls, intrusion detection systems, attack recognition tools, and malware protection systems. He also explains how to recognize and counter common hacking activities. This book bridges the gap between cybersecurity education and new data science programs, discussing how cutting-edge artificial intelligence and machine learning techniques can work for and against cybersecurity efforts. Intelligent Security Systems includes supplementary resources on an author-hosted website, such as classroom presentation slides, sample review, test and exam questions, and practice exercises to make the material contained practical and useful. The book also offers: A thorough introduction to computer security, artificial intelligence, and machine learning, including basic definitions and concepts like threats, vulnerabilities, risks, attacks, protection, and tools An exploration of firewall design and implementation, including firewall types and models, typical designs and configurations, and their limitations and problems Discussions of intrusion detection systems (IDS), including architecture topologies, components, and operational ranges, classification approaches, and machine learning techniques in IDS design A treatment of malware and vulnerabilities detection and protection, including malware classes, history, and development trends Perfect for undergraduate and graduate students in computer security, computer science and engineering, Intelligent Security Systems will also earn a place in the libraries of students and educators in information technology and data science, as well as professionals working in those fields.

Data Mining and Machine Learning in Cybersecurity

Sumeet Dua,Xian Du
Data Mining and Machine Learning in Cybersecurity Book PDF

Author : Sumeet Dua,Xian Du
Publisher : CRC Press
Page : 256 pages
File Size : 46,8 Mb
Release : 2016-04-19
Category : Computers
ISBN : 9781439839430

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Data Mining and Machine Learning in Cybersecurity by Sumeet Dua,Xian Du Pdf

With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several conferences, workshops, and journals focus on the fragmented research topics in this area, there has been no single interdisciplinary resource on past and current works and possible

Artificial Intelligence Safety and Security

Roman V. Yampolskiy
Artificial Intelligence Safety and Security Book PDF

Author : Roman V. Yampolskiy
Publisher : CRC Press
Page : 661 pages
File Size : 44,9 Mb
Release : 2018-07-27
Category : Computers
ISBN : 9781351251365

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Artificial Intelligence Safety and Security by Roman V. Yampolskiy Pdf

The history of robotics and artificial intelligence in many ways is also the history of humanity’s attempts to control such technologies. From the Golem of Prague to the military robots of modernity, the debate continues as to what degree of independence such entities should have and how to make sure that they do not turn on us, its inventors. Numerous recent advancements in all aspects of research, development and deployment of intelligent systems are well publicized but safety and security issues related to AI are rarely addressed. This book is proposed to mitigate this fundamental problem. It is comprised of chapters from leading AI Safety researchers addressing different aspects of the AI control problem as it relates to the development of safe and secure artificial intelligence. The book is the first edited volume dedicated to addressing challenges of constructing safe and secure advanced machine intelligence. The chapters vary in length and technical content from broad interest opinion essays to highly formalized algorithmic approaches to specific problems. All chapters are self-contained and could be read in any order or skipped without a loss of comprehension.

Congressional Record

United States. Congress
Congressional Record Book PDF

Author : United States. Congress
Publisher : Unknown
Page : 1656 pages
File Size : 49,9 Mb
Release : 2010
Category : Law
ISBN : OSU:32437123508034

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Congressional Record by United States. Congress Pdf

The Congressional Record is the official record of the proceedings and debates of the United States Congress. It is published daily when Congress is in session. The Congressional Record began publication in 1873. Debates for sessions prior to 1873 are recorded in The Debates and Proceedings in the Congress of the United States (1789-1824), the Register of Debates in Congress (1824-1837), and the Congressional Globe (1833-1873)

Machine Learning for Cybersecurity Cookbook

Emmanuel Tsukerman
Machine Learning for Cybersecurity Cookbook Book PDF

Author : Emmanuel Tsukerman
Publisher : Packt Publishing Ltd
Page : 338 pages
File Size : 45,8 Mb
Release : 2019-11-25
Category : Computers
ISBN : 9781838556341

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Machine Learning for Cybersecurity Cookbook by Emmanuel Tsukerman Pdf

Learn how to apply modern AI to create powerful cybersecurity solutions for malware, pentesting, social engineering, data privacy, and intrusion detection Key FeaturesManage data of varying complexity to protect your system using the Python ecosystemApply ML to pentesting, malware, data privacy, intrusion detection system(IDS) and social engineeringAutomate your daily workflow by addressing various security challenges using the recipes covered in the bookBook Description Organizations today face a major threat in terms of cybersecurity, from malicious URLs to credential reuse, and having robust security systems can make all the difference. With this book, you'll learn how to use Python libraries such as TensorFlow and scikit-learn to implement the latest artificial intelligence (AI) techniques and handle challenges faced by cybersecurity researchers. You'll begin by exploring various machine learning (ML) techniques and tips for setting up a secure lab environment. Next, you'll implement key ML algorithms such as clustering, gradient boosting, random forest, and XGBoost. The book will guide you through constructing classifiers and features for malware, which you'll train and test on real samples. As you progress, you'll build self-learning, reliant systems to handle cybersecurity tasks such as identifying malicious URLs, spam email detection, intrusion detection, network protection, and tracking user and process behavior. Later, you'll apply generative adversarial networks (GANs) and autoencoders to advanced security tasks. Finally, you'll delve into secure and private AI to protect the privacy rights of consumers using your ML models. By the end of this book, you'll have the skills you need to tackle real-world problems faced in the cybersecurity domain using a recipe-based approach. What you will learnLearn how to build malware classifiers to detect suspicious activitiesApply ML to generate custom malware to pentest your securityUse ML algorithms with complex datasets to implement cybersecurity conceptsCreate neural networks to identify fake videos and imagesSecure your organization from one of the most popular threats – insider threatsDefend against zero-day threats by constructing an anomaly detection systemDetect web vulnerabilities effectively by combining Metasploit and MLUnderstand how to train a model without exposing the training dataWho this book is for This book is for cybersecurity professionals and security researchers who are looking to implement the latest machine learning techniques to boost computer security, and gain insights into securing an organization using red and blue team ML. This recipe-based book will also be useful for data scientists and machine learning developers who want to experiment with smart techniques in the cybersecurity domain. Working knowledge of Python programming and familiarity with cybersecurity fundamentals will help you get the most out of this book.