Handbook Of Research On Machine And Deep Learning Applications For Cyber Security

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Handbook of Research on Machine and Deep Learning Applications for Cyber Security

Ganapathi, Padmavathi,Shanmugapriya, D.
Handbook of Research on Machine and Deep Learning Applications for Cyber Security Book PDF

Author : Ganapathi, Padmavathi,Shanmugapriya, D.
Publisher : IGI Global
Page : 482 pages
File Size : 50,7 Mb
Release : 2019-07-26
Category : Computers
ISBN : 9781522596134

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Handbook of Research on Machine and Deep Learning Applications for Cyber Security by Ganapathi, Padmavathi,Shanmugapriya, D. Pdf

As the advancement of technology continues, cyber security continues to play a significant role in today’s world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security. The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.

Deep Learning Applications for Cyber Security

Mamoun Alazab,MingJian Tang
Deep Learning Applications for Cyber Security Book PDF

Author : Mamoun Alazab,MingJian Tang
Publisher : Springer
Page : 246 pages
File Size : 46,9 Mb
Release : 2019-08-14
Category : Computers
ISBN : 9783030130572

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Deep Learning Applications for Cyber Security by Mamoun Alazab,MingJian Tang Pdf

Cybercrime remains a growing challenge in terms of security and privacy practices. Working together, deep learning and cyber security experts have recently made significant advances in the fields of intrusion detection, malicious code analysis and forensic identification. This book addresses questions of how deep learning methods can be used to advance cyber security objectives, including detection, modeling, monitoring and analysis of as well as defense against various threats to sensitive data and security systems. Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security. The book focuses on mature and proven techniques, and provides ample examples to help readers grasp the key points.

Artificial Intelligence for Cybersecurity

Mark Stamp,Corrado Aaron Visaggio,Francesco Mercaldo,Fabio Di Troia
Artificial Intelligence for Cybersecurity Book PDF

Author : Mark Stamp,Corrado Aaron Visaggio,Francesco Mercaldo,Fabio Di Troia
Publisher : Springer Nature
Page : 388 pages
File Size : 54,5 Mb
Release : 2022-07-15
Category : Computers
ISBN : 9783030970871

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Artificial Intelligence for Cybersecurity by Mark Stamp,Corrado Aaron Visaggio,Francesco Mercaldo,Fabio Di Troia Pdf

This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity. The provided research goes beyond simply applying AI techniques to datasets and instead delves into deeper issues that arise at the interface between deep learning and cybersecurity. This book also provides insight into the difficult "how" and "why" questions that arise in AI within the security domain. For example, this book includes chapters covering "explainable AI", "adversarial learning", "resilient AI", and a wide variety of related topics. It’s not limited to any specific cybersecurity subtopics and the chapters touch upon a wide range of cybersecurity domains, ranging from malware to biometrics and more. Researchers and advanced level students working and studying in the fields of cybersecurity (equivalently, information security) or artificial intelligence (including deep learning, machine learning, big data, and related fields) will want to purchase this book as a reference. Practitioners working within these fields will also be interested in purchasing this book.

Machine Learning and Cognitive Science Applications in Cyber Security

Khan, Muhammad Salman
Machine Learning and Cognitive Science Applications in Cyber Security Book PDF

Author : Khan, Muhammad Salman
Publisher : IGI Global
Page : 321 pages
File Size : 50,8 Mb
Release : 2019-05-15
Category : Computers
ISBN : 9781522581017

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Machine Learning and Cognitive Science Applications in Cyber Security by Khan, Muhammad Salman Pdf

In the past few years, with the evolution of advanced persistent threats and mutation techniques, sensitive and damaging information from a variety of sources have been exposed to possible corruption and hacking. Machine learning, artificial intelligence, predictive analytics, and similar disciplines of cognitive science applications have been found to have significant applications in the domain of cyber security. Machine Learning and Cognitive Science Applications in Cyber Security examines different applications of cognition that can be used to detect threats and analyze data to capture malware. Highlighting such topics as anomaly detection, intelligent platforms, and triangle scheme, this publication is designed for IT specialists, computer engineers, researchers, academicians, and industry professionals interested in the impact of machine learning in cyber security and the methodologies that can help improve the performance and reliability of machine learning applications.

Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques

Olivas, Emilio Soria,Guerrero, Jos‚ David Mart¡n,Martinez-Sober, Marcelino,Magdalena-Benedito, Jose Rafael,Serrano L¢pez, Antonio Jos‚
Handbook of Research on Machine Learning Applications and Trends Algorithms Methods and Techniques Book PDF

Author : Olivas, Emilio Soria,Guerrero, Jos‚ David Mart¡n,Martinez-Sober, Marcelino,Magdalena-Benedito, Jose Rafael,Serrano L¢pez, Antonio Jos‚
Publisher : IGI Global
Page : 852 pages
File Size : 53,9 Mb
Release : 2009-08-31
Category : Computers
ISBN : 9781605667676

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Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques by Olivas, Emilio Soria,Guerrero, Jos‚ David Mart¡n,Martinez-Sober, Marcelino,Magdalena-Benedito, Jose Rafael,Serrano L¢pez, Antonio Jos‚ Pdf

"This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher.

Cyber Security Meets Machine Learning

Xiaofeng Chen,Willy Susilo,Elisa Bertino
Cyber Security Meets Machine Learning Book PDF

Author : Xiaofeng Chen,Willy Susilo,Elisa Bertino
Publisher : Springer Nature
Page : 168 pages
File Size : 45,7 Mb
Release : 2021-07-02
Category : Computers
ISBN : 9789813367265

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Cyber Security Meets Machine Learning by Xiaofeng Chen,Willy Susilo,Elisa Bertino Pdf

Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machine learning models and approaches: the vulnerability of machine learning models to adversarial attacks is a fatal flaw in the artificial intelligence technologies, and the privacy of the data used in the training and testing periods is also causing increasing concern among users. This book reviews the latest research in the area, including effective applications of machine learning methods in cybersecurity solutions and the urgent security risks related to the machine learning models. The book is divided into three parts: Cyber Security Based on Machine Learning; Security in Machine Learning Methods and Systems; and Security and Privacy in Outsourced Machine Learning. Addressing hot topics in cybersecurity and written by leading researchers in the field, the book features self-contained chapters to allow readers to select topics that are relevant to their needs. It is a valuable resource for all those interested in cybersecurity and robust machine learning, including graduate students and academic and industrial researchers, wanting to gain insights into cutting-edge research topics, as well as related tools and inspiring innovations.

Handbook of Research on Emerging Trends and Applications of Machine Learning

Solanki, Arun,Kumar, Sandeep,Nayyar, Anand
Handbook of Research on Emerging Trends and Applications of Machine Learning Book PDF

Author : Solanki, Arun,Kumar, Sandeep,Nayyar, Anand
Publisher : IGI Global
Page : 674 pages
File Size : 50,8 Mb
Release : 2019-12-13
Category : Computers
ISBN : 9781522596455

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Handbook of Research on Emerging Trends and Applications of Machine Learning by Solanki, Arun,Kumar, Sandeep,Nayyar, Anand Pdf

As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.

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 : 50,5 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.

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 : 55,9 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.

Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security

Dua, Mohit,Jain, Ankit Kumar
Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security Book PDF

Author : Dua, Mohit,Jain, Ankit Kumar
Publisher : IGI Global
Page : 355 pages
File Size : 42,6 Mb
Release : 2021-05-14
Category : Computers
ISBN : 9781799833017

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Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security by Dua, Mohit,Jain, Ankit Kumar Pdf

The artificial intelligence subset machine learning has become a popular technique in professional fields as many are finding new ways to apply this trending technology into their everyday practices. Two fields that have majorly benefited from this are pattern recognition and information security. The ability of these intelligent algorithms to learn complex patterns from data and attain new performance techniques has created a wide variety of uses and applications within the data security industry. There is a need for research on the specific uses machine learning methods have within these fields, along with future perspectives. The Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security is a collection of innovative research on the current impact of machine learning methods within data security as well as its various applications and newfound challenges. While highlighting topics including anomaly detection systems, biometrics, and intrusion management, this book is ideally designed for industrial experts, researchers, IT professionals, network developers, policymakers, computer scientists, educators, and students seeking current research on implementing machine learning tactics to enhance the performance of information security.

Examining the Impact of Deep Learning and IoT on Multi-Industry Applications

Raut, Roshani,Mihovska, Albena Dimitrova
Examining the Impact of Deep Learning and IoT on Multi Industry Applications Book PDF

Author : Raut, Roshani,Mihovska, Albena Dimitrova
Publisher : IGI Global
Page : 304 pages
File Size : 45,9 Mb
Release : 2021-01-29
Category : Computers
ISBN : 9781799875178

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Examining the Impact of Deep Learning and IoT on Multi-Industry Applications by Raut, Roshani,Mihovska, Albena Dimitrova Pdf

Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long remained unresolved or moderately solved. Various significant IoT technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving and the supported interaction between human beings and their surroundings. Examining the Impact of Deep Learning and IoT on Multi-Industry Applications provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers’ points of view. While highlighting topics such as medical diagnosis, power consumption, livestock management, security, and social media analysis, this book is ideal for IT specialists, technologists, security analysts, medical practitioners, imaging specialists, diagnosticians, academicians, researchers, industrial experts, scientists, and undergraduate and postgraduate students who are working in the field of computer engineering, electronics, and electrical engineering.

Machine Learning and Security

Clarence Chio,David Freeman
Machine Learning and Security Book PDF

Author : Clarence Chio,David Freeman
Publisher : "O'Reilly Media, Inc."
Page : 385 pages
File Size : 41,6 Mb
Release : 2018-01-26
Category : Computers
ISBN : 9781491979877

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Machine Learning and Security by Clarence Chio,David Freeman Pdf

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself! With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions

Deep Learning Applications for Cyber-Physical Systems

Mundada, Monica R.,Seema, S.,K.G., Srinivasa,Shilpa, M.
Deep Learning Applications for Cyber Physical Systems Book PDF

Author : Mundada, Monica R.,Seema, S.,K.G., Srinivasa,Shilpa, M.
Publisher : IGI Global
Page : 293 pages
File Size : 49,5 Mb
Release : 2021-12-17
Category : Computers
ISBN : 9781799881636

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Deep Learning Applications for Cyber-Physical Systems by Mundada, Monica R.,Seema, S.,K.G., Srinivasa,Shilpa, M. Pdf

Big data generates around us constantly from daily business, custom use, engineering, and science activities. Sensory data is collected from the internet of things (IoT) and cyber-physical systems (CPS). Merely storing such a massive amount of data is meaningless, as the key point is to identify, locate, and extract valuable knowledge from big data to forecast and support services. Such extracted valuable knowledge is usually referred to as smart data. It is vital to providing suitable decisions in business, science, and engineering applications. Deep Learning Applications for Cyber-Physical Systems provides researchers a platform to present state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analyzing evolving trends in health informatics and computer-aided diagnosis in deep learning techniques in context with cyber physical systems. Covering topics such as smart medical systems, intrusion detection systems, and predictive analytics, this text is essential for computer scientists, engineers, practitioners, researchers, students, and academicians, especially those interested in the areas of internet of things, machine learning, deep learning, and cyber-physical systems.

Network Intrusion Detection using Deep Learning

Kwangjo Kim,Muhamad Erza Aminanto,Harry Chandra Tanuwidjaja
Network Intrusion Detection using Deep Learning Book PDF

Author : Kwangjo Kim,Muhamad Erza Aminanto,Harry Chandra Tanuwidjaja
Publisher : Springer
Page : 79 pages
File Size : 50,6 Mb
Release : 2018-09-25
Category : Computers
ISBN : 9789811314445

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Network Intrusion Detection using Deep Learning by Kwangjo Kim,Muhamad Erza Aminanto,Harry Chandra Tanuwidjaja Pdf

This book presents recent advances in intrusion detection systems (IDSs) using state-of-the-art deep learning methods. It also provides a systematic overview of classical machine learning and the latest developments in deep learning. In particular, it discusses deep learning applications in IDSs in different classes: generative, discriminative, and adversarial networks. Moreover, it compares various deep learning-based IDSs based on benchmarking datasets. The book also proposes two novel feature learning models: deep feature extraction and selection (D-FES) and fully unsupervised IDS. Further challenges and research directions are presented at the end of the book. Offering a comprehensive overview of deep learning-based IDS, the book is a valuable reerence resource for undergraduate and graduate students, as well as researchers and practitioners interested in deep learning and intrusion detection. Further, the comparison of various deep-learning applications helps readers gain a basic understanding of machine learning, and inspires applications in IDS and other related areas in cybersecurity.

Handbook of Research on Multimedia Cyber Security

Gupta, Brij B.,Gupta, Deepak
Handbook of Research on Multimedia Cyber Security Book PDF

Author : Gupta, Brij B.,Gupta, Deepak
Publisher : IGI Global
Page : 372 pages
File Size : 47,7 Mb
Release : 2020-04-03
Category : Computers
ISBN : 9781799827023

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Handbook of Research on Multimedia Cyber Security by Gupta, Brij B.,Gupta, Deepak Pdf

Because it makes the distribution and transmission of digital information much easier and more cost effective, multimedia has emerged as a top resource in the modern era. In spite of the opportunities that multimedia creates for businesses and companies, information sharing remains vulnerable to cyber attacks and hacking due to the open channels in which this data is being transmitted. Protecting the authenticity and confidentiality of information is a top priority for all professional fields that currently use multimedia practices for distributing digital data. The Handbook of Research on Multimedia Cyber Security provides emerging research exploring the theoretical and practical aspects of current security practices and techniques within multimedia information and assessing modern challenges. Featuring coverage on a broad range of topics such as cryptographic protocols, feature extraction, and chaotic systems, this book is ideally designed for scientists, researchers, developers, security analysts, network administrators, scholars, IT professionals, educators, and students seeking current research on developing strategies in multimedia security.