Big Data Analytics And Intelligent Systems For Cyber Threat Intelligence

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Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence

Yassine Maleh,Mamoun Alazab,Loai Tawalbeh,Imed Romdhani
Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence Book PDF

Author : Yassine Maleh,Mamoun Alazab,Loai Tawalbeh,Imed Romdhani
Publisher : CRC Press
Page : 310 pages
File Size : 50,5 Mb
Release : 2023-04-28
Category : Computers
ISBN : 9781000846690

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Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence by Yassine Maleh,Mamoun Alazab,Loai Tawalbeh,Imed Romdhani Pdf

In recent years, a considerable amount of effort has been devoted to cyber-threat protection of computer systems which is one of the most critical cybersecurity tasks for single users and businesses since even a single attack can result in compromised data and sufficient losses. Massive losses and frequent attacks dictate the need for accurate and timely detection methods. Current static and dynamic methods do not provide efficient detection, especially when dealing with zero-day attacks. For this reason, big data analytics and machine intelligencebased techniques can be used. This book brings together researchers in the field of big data analytics and intelligent systems for cyber threat intelligence CTI and key data to advance the mission of anticipating, prohibiting, preventing, preparing, and responding to internal security. The wide variety of topics it presents offers readers multiple perspectives on various disciplines related to big data analytics and intelligent systems for cyber threat intelligence applications. Technical topics discussed in the book include: • Big data analytics for cyber threat intelligence and detection • Artificial intelligence analytics techniques • Real-time situational awareness • Machine learning techniques for CTI • Deep learning techniques for CTI • Malware detection and prevention techniques • Intrusion and cybersecurity threat detection and analysis • Blockchain and machine learning techniques for CTI

Cyber Security Intelligence and Analytics

Zheng Xu,Reza M. Parizi,Mohammad Hammoudeh,Octavio Loyola-González
Cyber Security Intelligence and Analytics Book PDF

Author : Zheng Xu,Reza M. Parizi,Mohammad Hammoudeh,Octavio Loyola-González
Publisher : Springer Nature
Page : 829 pages
File Size : 54,7 Mb
Release : 2020-03-19
Category : Technology & Engineering
ISBN : 9783030433062

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Cyber Security Intelligence and Analytics by Zheng Xu,Reza M. Parizi,Mohammad Hammoudeh,Octavio Loyola-González Pdf

This book presents the outcomes of the 2020 International Conference on Cyber Security Intelligence and Analytics (CSIA 2020), which was dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber security, particularly those focusing on threat intelligence, analytics, and preventing cyber crime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings, and novel techniques, methods, and applications concerning all aspects of cyber security intelligence and analytics. CSIA 2020, which was held in Haikou, China on February 28–29, 2020, built on the previous conference in Wuhu, China (2019), and marks the series’ second successful installment.

Data Science in Cybersecurity and Cyberthreat Intelligence

Leslie F. Sikos,Kim-Kwang Raymond Choo
Data Science in Cybersecurity and Cyberthreat Intelligence Book PDF

Author : Leslie F. Sikos,Kim-Kwang Raymond Choo
Publisher : Springer Nature
Page : 140 pages
File Size : 48,7 Mb
Release : 2020-02-05
Category : Computers
ISBN : 9783030387884

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Data Science in Cybersecurity and Cyberthreat Intelligence by Leslie F. Sikos,Kim-Kwang Raymond Choo Pdf

This book presents a collection of state-of-the-art approaches to utilizing machine learning, formal knowledge bases and rule sets, and semantic reasoning to detect attacks on communication networks, including IoT infrastructures, to automate malicious code detection, to efficiently predict cyberattacks in enterprises, to identify malicious URLs and DGA-generated domain names, and to improve the security of mHealth wearables. This book details how analyzing the likelihood of vulnerability exploitation using machine learning classifiers can offer an alternative to traditional penetration testing solutions. In addition, the book describes a range of techniques that support data aggregation and data fusion to automate data-driven analytics in cyberthreat intelligence, allowing complex and previously unknown cyberthreats to be identified and classified, and countermeasures to be incorporated in novel incident response and intrusion detection mechanisms.

Big Data Analytics and Computational Intelligence for Cybersecurity

Mariya Ouaissa,Zakaria Boulouard,Mariyam Ouaissa,Inam Ullah Khan,Mohammed Kaosar
Big Data Analytics and Computational Intelligence for Cybersecurity Book PDF

Author : Mariya Ouaissa,Zakaria Boulouard,Mariyam Ouaissa,Inam Ullah Khan,Mohammed Kaosar
Publisher : Springer Nature
Page : 336 pages
File Size : 51,7 Mb
Release : 2022-09-01
Category : Computers
ISBN : 9783031057526

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Big Data Analytics and Computational Intelligence for Cybersecurity by Mariya Ouaissa,Zakaria Boulouard,Mariyam Ouaissa,Inam Ullah Khan,Mohammed Kaosar Pdf

This book presents a collection of state-of-the-art artificial intelligence and big data analytics approaches to cybersecurity intelligence. It illustrates the latest trends in AI/ML-based strategic defense mechanisms against malware, vulnerabilities, cyber threats, as well as proactive countermeasures. It also introduces other trending technologies, such as blockchain, SDN, and IoT, and discusses their possible impact on improving security. The book discusses the convergence of AI/ML and big data in cybersecurity by providing an overview of theoretical, practical, and simulation concepts of computational intelligence and big data analytics used in different approaches of security. It also displays solutions that will help analyze complex patterns in user data and ultimately improve productivity. This book can be a source for researchers, students, and practitioners interested in the fields of artificial intelligence, cybersecurity, data analytics, and recent trends of networks.

Data Science in Cybersecurity and Cyberthreat Intelligence

Leslie F. Sikos,Kim-Kwang Raymond Choo
Data Science in Cybersecurity and Cyberthreat Intelligence Book PDF

Author : Leslie F. Sikos,Kim-Kwang Raymond Choo
Publisher : Unknown
Page : 0 pages
File Size : 46,6 Mb
Release : 2020
Category : Artificial intelligence
ISBN : 3030387895

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Data Science in Cybersecurity and Cyberthreat Intelligence by Leslie F. Sikos,Kim-Kwang Raymond Choo Pdf

This book presents a collection of state-of-the-art approaches to utilizing machine learning, formal knowledge bases and rule sets, and semantic reasoning to detect attacks on communication networks, including IoT infrastructures, to automate malicious code detection, to efficiently predict cyberattacks in enterprises, to identify malicious URLs and DGA-generated domain names, and to improve the security of mHealth wearables. This book details how analyzing the likelihood of vulnerability exploitation using machine learning classifiers can offer an alternative to traditional penetration testing solutions. In addition, the book describes a range of techniques that support data aggregation and data fusion to automate data-driven analytics in cyberthreat intelligence, allowing complex and previously unknown cyberthreats to be identified and classified, and countermeasures to be incorporated in novel incident response and intrusion detection mechanisms.

Intelligent Data Analytics for Terror Threat Prediction

Subhendu Kumar Pani,Sanjay Kumar Singh,Lalit Garg,Ram Bilas Pachori,Xiaobo Zhang
Intelligent Data Analytics for Terror Threat Prediction Book PDF

Author : Subhendu Kumar Pani,Sanjay Kumar Singh,Lalit Garg,Ram Bilas Pachori,Xiaobo Zhang
Publisher : John Wiley & Sons
Page : 352 pages
File Size : 49,5 Mb
Release : 2021-02-09
Category : Computers
ISBN : 9781119711094

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Intelligent Data Analytics for Terror Threat Prediction by Subhendu Kumar Pani,Sanjay Kumar Singh,Lalit Garg,Ram Bilas Pachori,Xiaobo Zhang Pdf

Intelligent data analytics for terror threat prediction is an emerging field of research at the intersection of information science and computer science, bringing with it a new era of tremendous opportunities and challenges due to plenty of easily available criminal data for further analysis. This book provides innovative insights that will help obtain interventions to undertake emerging dynamic scenarios of criminal activities. Furthermore, it presents emerging issues, challenges and management strategies in public safety and crime control development across various domains. The book will play a vital role in improvising human life to a great extent. Researchers and practitioners working in the fields of data mining, machine learning and artificial intelligence will greatly benefit from this book, which will be a good addition to the state-of-the-art approaches collected for intelligent data analytics. It will also be very beneficial for those who are new to the field and need to quickly become acquainted with the best performing methods. With this book they will be able to compare different approaches and carry forward their research in the most important areas of this field, which has a direct impact on the betterment of human life by maintaining the security of our society. No other book is currently on the market which provides such a good collection of state-of-the-art methods for intelligent data analytics-based models for terror threat prediction, as intelligent data analytics is a newly emerging field and research in data mining and machine learning is still in the early stage of development.

Cyber Threat Intelligence

Ali Dehghantanha,Mauro Conti,Tooska Dargahi
Cyber Threat Intelligence Book PDF

Author : Ali Dehghantanha,Mauro Conti,Tooska Dargahi
Publisher : Springer
Page : 334 pages
File Size : 55,5 Mb
Release : 2018-04-27
Category : Computers
ISBN : 9783319739519

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Cyber Threat Intelligence by Ali Dehghantanha,Mauro Conti,Tooska Dargahi Pdf

This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes. The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions – this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works. The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with backgrounds in artificial intelligence, cyber security, forensics, big data and data mining, distributed systems and computer networks. This would include industry professionals, advanced-level students and researchers that work within these related fields.

Machine Intelligence and Big Data Analytics for Cybersecurity Applications

Yassine Maleh,Mohammad Shojafar,Mamoun Alazab,Youssef Baddi
Machine Intelligence and Big Data Analytics for Cybersecurity Applications Book PDF

Author : Yassine Maleh,Mohammad Shojafar,Mamoun Alazab,Youssef Baddi
Publisher : Springer Nature
Page : 539 pages
File Size : 53,8 Mb
Release : 2020-12-14
Category : Computers
ISBN : 9783030570248

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Machine Intelligence and Big Data Analytics for Cybersecurity Applications by Yassine Maleh,Mohammad Shojafar,Mamoun Alazab,Youssef Baddi Pdf

This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis. Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks but also because of the large scale and complex nature of today’s IT infrastructures. It discusses novel trends and achievements in machine intelligence and their role in the development of secure systems and identifies open and future research issues related to the application of machine intelligence in the cybersecurity field. Bridging an important gap between machine intelligence, big data, and cybersecurity communities, it aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances on machine intelligence and big data analytics for cybersecurity applications.

Cyber Security Intelligence and Analytics

Zheng Xu,Reza M. Parizi,Mohammad Hammoudeh,Octavio Loyola-González
Cyber Security Intelligence and Analytics Book PDF

Author : Zheng Xu,Reza M. Parizi,Mohammad Hammoudeh,Octavio Loyola-González
Publisher : Springer Nature
Page : 718 pages
File Size : 47,9 Mb
Release : 2020-03-10
Category : Technology & Engineering
ISBN : 9783030433093

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Cyber Security Intelligence and Analytics by Zheng Xu,Reza M. Parizi,Mohammad Hammoudeh,Octavio Loyola-González Pdf

This book presents the outcomes of the 2020 International Conference on Cyber Security Intelligence and Analytics (CSIA 2020), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber security, particularly focusing on threat intelligence, analytics, and countering cyber crime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings, and novel techniques, methods and applications on all aspects of Cyber Security Intelligence and Analytics. The 2020 International Conference on Cyber Security Intelligence and Analytics (CSIA 2020) is held at Feb. 28-29, 2020, in Haikou, China, building on the previous successes in Wuhu, China (2019) is proud to be in the 2nd consecutive conference year.

Data Analytics and Decision Support for Cybersecurity

Iván Palomares Carrascosa,Harsha Kumara Kalutarage,Yan Huang
Data Analytics and Decision Support for Cybersecurity Book PDF

Author : Iván Palomares Carrascosa,Harsha Kumara Kalutarage,Yan Huang
Publisher : Springer
Page : 270 pages
File Size : 49,7 Mb
Release : 2017-08-01
Category : Computers
ISBN : 9783319594392

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Data Analytics and Decision Support for Cybersecurity by Iván Palomares Carrascosa,Harsha Kumara Kalutarage,Yan Huang Pdf

The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception. This contributed volume comprises nine chapters, written by leading international researchers, covering a compilation of recent advances in Cybersecurity-related applications of data analytics and decision support approaches. In addition to theoretical studies and overviews of existing relevant literature, this book comprises a selection of application-oriented research contributions. The investigations undertaken across these chapters focus on diverse and critical Cybersecurity problems, such as Intrusion Detection, Insider Threats, Insider Threats, Collusion Detection, Run-Time Malware Detection, Intrusion Detection, E-Learning, Online Examinations, Cybersecurity noisy data removal, Secure Smart Power Systems, Security Visualization and Monitoring. Researchers and professionals alike will find the chapters an essential read for further research on the topic.

Cyber Threat Intelligence

Ali Dehghantanha,Mauro Conti (Associate professor),Tooska Dargahi
Cyber Threat Intelligence Book PDF

Author : Ali Dehghantanha,Mauro Conti (Associate professor),Tooska Dargahi
Publisher : Unknown
Page : 334 pages
File Size : 54,7 Mb
Release : 2018
Category : Computer security
ISBN : 3319739522

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Cyber Threat Intelligence by Ali Dehghantanha,Mauro Conti (Associate professor),Tooska Dargahi Pdf

This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes. The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions - this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works. The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with backgrounds in artificial intelligence, cyber security, forensics, big data and data mining, distributed systems and computer networks. This would include industry professionals, advanced-level students and researchers that work within these related fields.

Cyber Security Intelligence and Analytics

Zheng Xu,Reza M. Parizi,Octavio Loyola-González,Xiaolu Zhang
Cyber Security Intelligence and Analytics Book PDF

Author : Zheng Xu,Reza M. Parizi,Octavio Loyola-González,Xiaolu Zhang
Publisher : Springer Nature
Page : 995 pages
File Size : 43,5 Mb
Release : 2021-03-09
Category : Technology & Engineering
ISBN : 9783030699994

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Cyber Security Intelligence and Analytics by Zheng Xu,Reza M. Parizi,Octavio Loyola-González,Xiaolu Zhang Pdf

This book presents the outcomes of the 2021 International Conference on Cyber Security Intelligence and Analytics (CSIA 2021), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber security, particularly focusing on threat intelligence, analytics, and countering cybercrime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings and novel techniques, methods and applications on all aspects of cyber security intelligence and analytics. Due to COVID-19, Authors, Keynote Speakers and PC committees will attend the conference online.

Cyber Security Intelligence and Analytics

Zheng Xu,Reza M. Parizi,Octavio Loyola-González,Xiaolu Zhang
Cyber Security Intelligence and Analytics Book PDF

Author : Zheng Xu,Reza M. Parizi,Octavio Loyola-González,Xiaolu Zhang
Publisher : Springer Nature
Page : 932 pages
File Size : 47,8 Mb
Release : 2021-03-10
Category : Technology & Engineering
ISBN : 9783030700423

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Cyber Security Intelligence and Analytics by Zheng Xu,Reza M. Parizi,Octavio Loyola-González,Xiaolu Zhang Pdf

This book presents the outcomes of the 2021 International Conference on Cyber Security Intelligence and Analytics (CSIA 2021), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber security, particularly focusing on threat intelligence, analytics, and countering cybercrime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings and novel techniques, methods and applications on all aspects of cyber security intelligence and analytics. Due to COVID-19, Authors, Keynote Speakers and PC committees will attend the conference online.

AI-Driven Cybersecurity and Threat Intelligence

Iqbal H. Sarker
AI Driven Cybersecurity and Threat Intelligence Book PDF

Author : Iqbal H. Sarker
Publisher : Springer
Page : 0 pages
File Size : 44,5 Mb
Release : 2024-04-14
Category : Computers
ISBN : 303154496X

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AI-Driven Cybersecurity and Threat Intelligence by Iqbal H. Sarker Pdf

This book explores the dynamics of how AI (Artificial Intelligence) technology intersects with cybersecurity challenges and threat intelligence as they evolve. Integrating AI into cybersecurity not only offers enhanced defense mechanisms, but this book introduces a paradigm shift illustrating how one conceptualize, detect and mitigate cyber threats. An in-depth exploration of AI-driven solutions is presented, including machine learning algorithms, data science modeling, generative AI modeling, threat intelligence frameworks and Explainable AI (XAI) models. As a roadmap or comprehensive guide to leveraging AI/XAI to defend digital ecosystems against evolving cyber threats, this book provides insights, modeling, real-world applications and research issues. Throughout this journey, the authors discover innovation, challenges, and opportunities. It provides a holistic perspective on the transformative role of AI in securing the digital world. Overall, the use of AI can transform the way one detects, responds and defends against threats, by enabling proactive threat detection, rapid response and adaptive defense mechanisms. AI-driven cybersecurity systems excel at analyzing vast datasets rapidly, identifying patterns that indicate malicious activities, detecting threats in real time as well as conducting predictive analytics for proactive solution. Moreover, AI enhances the ability to detect anomalies, predict potential threats, and respond swiftly, preventing risks from escalated. As cyber threats become increasingly diverse and relentless, incorporating AI/XAI into cybersecurity is not just a choice, but a necessity for improving resilience and staying ahead of ever-changing threats. This book targets advanced-level students in computer science as a secondary textbook. Researchers and industry professionals working in various areas, such as Cyber AI, Explainable and Responsible AI, Human-AI Collaboration, Automation and Intelligent Systems, Adaptive and Robust Security Systems, Cybersecurity Data Science and Data-Driven Decision Making will also find this book useful as reference book.

Cyber Security Impact on Digitalization and Business Intelligence

Haitham M. Alzoubi,Muhammad Turki Alshurideh,Taher M. Ghazal
Cyber Security Impact on Digitalization and Business Intelligence Book PDF

Author : Haitham M. Alzoubi,Muhammad Turki Alshurideh,Taher M. Ghazal
Publisher : Springer Nature
Page : 582 pages
File Size : 47,5 Mb
Release : 2024-01-03
Category : Computers
ISBN : 9783031318016

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Cyber Security Impact on Digitalization and Business Intelligence by Haitham M. Alzoubi,Muhammad Turki Alshurideh,Taher M. Ghazal Pdf

This book takes a unique approach by exploring the connection between cybersecurity, digitalization, and business intelligence. In today's digital landscape, cybersecurity is a crucial aspect of business operations. Meanwhile, organizations continue to leverage digital technologies for their day-to-day operations. They must be aware of the risks associated with cyber-attacks and implement robust cybersecurity measures to protect their assets. It provides practical insights and solutions to help businesses better understand the impact of cybersecurity on their digitalization and business intelligence strategies. It provides practical insights and solutions for implementing cybersecurity measures in organizations and covers a wide range of topics, including threat intelligence, risk management, compliance, cloud security, and IoT security. The book takes a holistic approach and explores the intersection of cybersecurity, digitalization, and business intelligence and examines the possible challenges and opportunities.