Methods Implementation And Application Of Cyber Security Intelligence And Analytics

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Methods, Implementation, and Application of Cyber Security Intelligence and Analytics

Author : H. L. Gururaj,Jena Om Prakash,M. R. Pooja
Publisher : Unknown
Page : 292 pages
File Size : 47,5 Mb
Release : 2022-06-17
Category : Electronic
ISBN : 1668439921

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Methods, Implementation, and Application of Cyber Security Intelligence and Analytics by H. L. Gururaj,Jena Om Prakash,M. R. Pooja Pdf

Cyber security is a key focus in the modern world as more private information is stored and saved online. In order to ensure vital information is protected from various cyber threats, it is essential to develop a thorough understanding of technologies that can address cyber security challenges. Artificial intelligence has been recognized as an important technology that can be employed successfully in the cyber security sector. Due to this, further study on the potential uses of artificial intelligence is required. Methods, Implementation, and Application of Cyber Security Intelligence and Analytics discusses critical artificial intelligence technologies that are utilized in cyber security and considers various cyber security issues and their optimal solutions supported by artificial intelligence. Covering a range of topics such as malware, smart grid, data breachers, and machine learning, this major reference work is ideal for security analysts, cyber security specialists, data analysts, security professionals, computer scientists, government officials, researchers, scholars, academicians, practitioners, instructors, and students.

Methods, Implementation, and Application of Cyber Security Intelligence and Analytics

Author : Om Prakash, Jena,Gururaj, H.L.,Pooja, M.R.,Pavan Kumar, S.P.
Publisher : IGI Global
Page : 286 pages
File Size : 47,7 Mb
Release : 2022-06-17
Category : Computers
ISBN : 9781668439937

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Methods, Implementation, and Application of Cyber Security Intelligence and Analytics by Om Prakash, Jena,Gururaj, H.L.,Pooja, M.R.,Pavan Kumar, S.P. Pdf

Cyber security is a key focus in the modern world as more private information is stored and saved online. In order to ensure vital information is protected from various cyber threats, it is essential to develop a thorough understanding of technologies that can address cyber security challenges. Artificial intelligence has been recognized as an important technology that can be employed successfully in the cyber security sector. Due to this, further study on the potential uses of artificial intelligence is required. Methods, Implementation, and Application of Cyber Security Intelligence and Analytics discusses critical artificial intelligence technologies that are utilized in cyber security and considers various cyber security issues and their optimal solutions supported by artificial intelligence. Covering a range of topics such as malware, smart grid, data breachers, and machine learning, this major reference work is ideal for security analysts, cyber security specialists, data analysts, security professionals, computer scientists, government officials, researchers, scholars, academicians, practitioners, instructors, and students.

Cyber Security Intelligence and Analytics

Author : Zheng Xu,Kim-Kwang Raymond Choo,Ali Dehghantanha,Reza Parizi,Mohammad Hammoudeh
Publisher : Springer
Page : 1453 pages
File Size : 50,5 Mb
Release : 2019-04-24
Category : Technology & Engineering
ISBN : 9783030152352

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Cyber Security Intelligence and Analytics by Zheng Xu,Kim-Kwang Raymond Choo,Ali Dehghantanha,Reza Parizi,Mohammad Hammoudeh Pdf

This book presents the outcomes of the 2019 International Conference on Cyber Security Intelligence and Analytics (CSIA2019), 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.

Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection

Author : Shilpa Mahajan,Mehak Khurana,Vania Vieira Estrela
Publisher : John Wiley & Sons
Page : 373 pages
File Size : 47,7 Mb
Release : 2024-06-12
Category : Computers
ISBN : 9781394196449

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Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection by Shilpa Mahajan,Mehak Khurana,Vania Vieira Estrela Pdf

Comprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML) Applying Artificial Intelligence in Cyber Security Analytics and Cyber Threat Detection is a comprehensive look at state-of-the-art theory and practical guidelines pertaining to the subject, showcasing recent innovations, emerging trends, and concerns as well as applied challenges encountered, and solutions adopted in the fields of cybersecurity using analytics and machine learning. The text clearly explains theoretical aspects, framework, system architecture, analysis and design, implementation, validation, and tools and techniques of data science and machine learning to detect and prevent cyber threats. Using AI and ML approaches, the book offers strategic defense mechanisms for addressing malware, cybercrime, and system vulnerabilities. It also provides tools and techniques that can be applied by professional analysts to safely analyze, debug, and disassemble any malicious software they encounter. With contributions from qualified authors with significant experience in the field, Applying Artificial Intelligence in Cyber Security Analytics and Cyber Threat Detection explores topics such as: Cybersecurity tools originating from computational statistics literature and pure mathematics, such as nonparametric probability density estimation, graph-based manifold learning, and topological data analysis Applications of AI to penetration testing, malware, data privacy, intrusion detection system (IDS), and social engineering How AI automation addresses various security challenges in daily workflows and how to perform automated analyses to proactively mitigate threats Offensive technologies grouped together and analyzed at a higher level from both an offensive and defensive standpoint Providing detailed coverage of a rapidly expanding field, Applying Artificial Intelligence in Cyber Security Analytics and Cyber Threat Detection is an essential resource for a wide variety of researchers, scientists, and professionals involved in fields that intersect with cybersecurity, artificial intelligence, and machine learning.

Machine Intelligence and Big Data Analytics for Cybersecurity Applications

Author : Yassine Maleh,Mohammad Shojafar,Mamoun Alazab,Youssef Baddi
Publisher : Springer Nature
Page : 539 pages
File Size : 49,8 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.

Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence

Author : Yassine Maleh,Mamoun Alazab,Loai Tawalbeh,Imed Romdhani
Publisher : CRC Press
Page : 310 pages
File Size : 40,8 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

Data Analytics and Decision Support for Cybersecurity

Author : Iván Palomares Carrascosa,Harsha Kumara Kalutarage,Yan Huang
Publisher : Springer
Page : 270 pages
File Size : 52,7 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.

Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity

Author : Lobo, Victor,Correia, Anacleto
Publisher : IGI Global
Page : 292 pages
File Size : 48,9 Mb
Release : 2022-06-24
Category : Computers
ISBN : 9781799894322

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Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity by Lobo, Victor,Correia, Anacleto Pdf

The growth of innovative cyber threats, many based on metamorphosing techniques, has led to security breaches and the exposure of critical information in sites that were thought to be impenetrable. The consequences of these hacking actions were, inevitably, privacy violation, data corruption, or information leaking. Machine learning and data mining techniques have significant applications in the domains of privacy protection and cybersecurity, including intrusion detection, authentication, and website defacement detection, that can help to combat these breaches. Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity provides machine and deep learning methods for analysis and characterization of events regarding privacy and anomaly detection as well as for establishing predictive models for cyber attacks or privacy violations. It provides case studies of the use of these techniques and discusses the expected future developments on privacy and cybersecurity applications. Covering topics such as behavior-based authentication, machine learning attacks, and privacy preservation, this book is a crucial resource for IT specialists, computer engineers, industry professionals, privacy specialists, security professionals, consultants, researchers, academicians, and students and educators of higher education.

Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security

Author : Hassan, Ahdi,Prasad, Vivek Kumar,Bhattacharya, Pronaya,Dutta, Pushan Kumar,Damaševi?ius, Robertas
Publisher : IGI Global
Page : 372 pages
File Size : 48,8 Mb
Release : 2024-02-14
Category : Medical
ISBN : 9798369326404

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Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security by Hassan, Ahdi,Prasad, Vivek Kumar,Bhattacharya, Pronaya,Dutta, Pushan Kumar,Damaševi?ius, Robertas Pdf

The Healthcare sector is experiencing a mindset change with the advent of Healthcare 5.0, bringing forth improved patient care and system efficiency. However, this transformation poses significant challenges. The growing digitization of healthcare systems raises concerns about the security and privacy of patient data, making seamless data sharing and collaboration increasingly complex tasks. Additionally, as the volume of healthcare data expands exponentially, efficient handling and analysis become vital for optimizing healthcare delivery and patient outcomes. Addressing these multifaceted issues is crucial for healthcare professionals, IT experts, data scientists, and researchers seeking to fully harness the potential of Healthcare 5.0. Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security presents a comprehensive solution to the pressing challenges in the digitalized healthcare industry. This research book dives into the principles of Healthcare 5.0 and explores practical implementation through cloud computing, data analytics, and federated learning. Readers will gain profound insights into the role of cloud computing in managing vast amounts of healthcare data, such as electronic health records and real-time analytics. Cloud-based frameworks, architectures, and relevant use cases are explored to optimize healthcare delivery and improve patient outcomes.

Data-Driven Approaches for Effective Managerial Decision Making

Author : Anubha,Sharma, Himanshu
Publisher : IGI Global
Page : 354 pages
File Size : 49,8 Mb
Release : 2023-05-08
Category : Business & Economics
ISBN : 9781668475706

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Data-Driven Approaches for Effective Managerial Decision Making by Anubha,Sharma, Himanshu Pdf

In today’s competitive market, a manager must be able to look at data, understand it, analyze it, and then interpret it to design a smart business strategy. Big data is also a valuable source of information on how customers interact with firms through various mediums such as social media platforms, online reviews, and many more. The applications and uses of business analytics are numerous and must be further studied to ensure they are utilized appropriately. Data-Driven Approaches for Effective Managerial Decision Making investigates management concepts and applications using data analytics and outlines future research directions. The book also addresses contemporary advancements and innovations in the field of management. Covering key topics such as big data, business intelligence, and artificial intelligence, this reference work is ideal for managers, business owners, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.

Handbook of Research on Cybersecurity Issues and Challenges for Business and FinTech Applications

Author : Saeed, Saqib,Almuhaideb, Abdullah M.,Kumar, Neeraj,Zaman, Noor,Zikria, Yousaf Bin
Publisher : IGI Global
Page : 581 pages
File Size : 52,6 Mb
Release : 2022-10-21
Category : Computers
ISBN : 9781668452868

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Handbook of Research on Cybersecurity Issues and Challenges for Business and FinTech Applications by Saeed, Saqib,Almuhaideb, Abdullah M.,Kumar, Neeraj,Zaman, Noor,Zikria, Yousaf Bin Pdf

Digital transformation in organizations optimizes the business processes but also brings additional challenges in the form of security threats and vulnerabilities. Cyberattacks incur financial losses for organizations and can affect their reputations. Due to this, cybersecurity has become critical for business enterprises. Extensive technological adoption in businesses and the evolution of FinTech applications require reasonable cybersecurity measures to protect organizations from internal and external security threats. Recent advances in the cybersecurity domain such as zero trust architecture, application of machine learning, and quantum and post-quantum cryptography have colossal potential to secure technological infrastructures. The Handbook of Research on Cybersecurity Issues and Challenges for Business and FinTech Applications discusses theoretical foundations and empirical studies of cybersecurity implications in global digital transformation and considers cybersecurity challenges in diverse business areas. Covering essential topics such as artificial intelligence, social commerce, and data leakage, this reference work is ideal for cybersecurity professionals, business owners, managers, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.

Cybersecurity Issues, Challenges, and Solutions in the Business World

Author : Verma, Suhasini,Vyas, Vidhisha,Kaushik, Keshav
Publisher : IGI Global
Page : 305 pages
File Size : 51,8 Mb
Release : 2022-10-14
Category : Computers
ISBN : 9781668458297

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Cybersecurity Issues, Challenges, and Solutions in the Business World by Verma, Suhasini,Vyas, Vidhisha,Kaushik, Keshav Pdf

Cybersecurity threats have become ubiquitous and continue to topple every facet of the digital realm as they are a problem for anyone with a gadget or hardware device. However, there are some actions and safeguards that can assist in avoiding these threats and challenges; further study must be done to ensure businesses and users are aware of the current best practices. Cybersecurity Issues, Challenges, and Solutions in the Business World considers cybersecurity innovation alongside the methods and strategies for its joining with the business industry and discusses pertinent application zones such as smart city, e-social insurance, shrewd travel, and more. Covering key topics such as blockchain, data mining, privacy, security issues, and social media, this reference work is ideal for security analysts, forensics experts, business owners, computer scientists, policymakers, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.

Handbook of Research on Technical, Privacy, and Security Challenges in a Modern World

Author : Tyagi, Amit Kumar
Publisher : IGI Global
Page : 502 pages
File Size : 50,5 Mb
Release : 2022-06-30
Category : Computers
ISBN : 9781668452523

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Handbook of Research on Technical, Privacy, and Security Challenges in a Modern World by Tyagi, Amit Kumar Pdf

More individuals than ever are utilizing internet technologies to work from home, teach and learn, shop, interact with peers, review medical records, and more. While it is certainly convenient to conduct such tasks via the internet, this increased internet presence has also led to a rise in the search and availability of personal information, which in turn is resulting in more cyber-attacks, privacy breaches, and information leaks. Cyber criminals are using such opportunities to attack governments, organizations, and individuals, making it necessary to anticipate, assess, and mitigate privacy and security threats during this infodemic. The Handbook of Research on Technical, Privacy, and Security Challenges in a Modern World discusses the design and development of different machine learning systems, including next generation applications, in order to mitigate cyber-attacks and address security challenges in everyday technologies. It further explores select methods and algorithms of learning for implementing better security methods in fields such as business and healthcare. It recognizes the future of privacy and the importance of preserving data through recommended practice, feedback loops, and smart agents. Covering topics such as face mask detection, gesture recognition, and botnet attacks and detection, this major reference work is a dynamic resource for medical professionals, healthcare administrators, government officials, business executives and managers, IT managers, students and faculty of higher education, librarians, researchers, and academicians.

Security Analytics for the Internet of Everything

Author : Mohuiddin Ahmed,Abu S.S.M Barkat Ullah,Al-Sakib Khan Pathan
Publisher : CRC Press
Page : 258 pages
File Size : 53,7 Mb
Release : 2020-01-27
Category : Computers
ISBN : 9781000765847

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Security Analytics for the Internet of Everything by Mohuiddin Ahmed,Abu S.S.M Barkat Ullah,Al-Sakib Khan Pathan Pdf

Security Analytics for the Internet of Everything compiles the latest trends, technologies, and applications in this emerging field. It includes chapters covering emerging security trends, cyber governance, artificial intelligence in cybersecurity, and cyber challenges. Contributions from leading international experts are included. The target audience for the book is graduate students, professionals, and researchers working in the fields of cybersecurity, computer networks, communications, and the Internet of Everything (IoE). The book also includes some chapters written in a tutorial style so that general readers can easily grasp some of the ideas.

Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services

Author : Tyagi, Amit Kumar
Publisher : IGI Global
Page : 378 pages
File Size : 55,9 Mb
Release : 2022-10-14
Category : Medical
ISBN : 9781668457429

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Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services by Tyagi, Amit Kumar Pdf

With the advancement of sensorial media, objects, and technologies, multimedia can play a significant role in smart healthcare by offering better insight of heterogeneous healthcare multimedia content to support affordable and quality patient care. While researchers and the scientific community have been making advances in the study of multimedia tools and healthcare services individually, very little attention has been given to developing cost effective and affordable smart healthcare services. Multimedia-based smart healthcare has the potential to revolutionize many aspects of our society; however, many technical challenges must be addressed before this potential can be realized. Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services includes high-quality research on the recent advances in various aspects of intelligent interactive multimedia technologies in healthcare services and, more specifically, in the state-of-the-art approaches, methodologies, and systems in the design, development, deployment, and innovative use of multimedia systems, tools, and technologies for providing insights into smart healthcare service demands. Covering topics such as genetic algorithms, automatic classification of diseases, and structural equation modeling, this premier reference source is an essential resource for hospital administrators, medical professionals, health IT specialists, hospital technicians, students and faculty of higher education, researchers, and academicians.