Big Data Analytics In Cybersecurity

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Big Data Analytics in Cybersecurity

Onur Savas,Julia Deng
Big Data Analytics in Cybersecurity Book PDF

Author : Onur Savas,Julia Deng
Publisher : CRC Press
Page : 452 pages
File Size : 45,7 Mb
Release : 2017-09-18
Category : Business & Economics
ISBN : 9781351650410

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Big Data Analytics in Cybersecurity by Onur Savas,Julia Deng Pdf

Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research.

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 : 52,9 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.

Cybersecurity Data Science

Scott Mongeau,Andrzej Hajdasinski
Cybersecurity Data Science Book PDF

Author : Scott Mongeau,Andrzej Hajdasinski
Publisher : Springer Nature
Page : 410 pages
File Size : 44,6 Mb
Release : 2021-10-01
Category : Computers
ISBN : 9783030748968

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Cybersecurity Data Science by Scott Mongeau,Andrzej Hajdasinski Pdf

This book encompasses a systematic exploration of Cybersecurity Data Science (CSDS) as an emerging profession, focusing on current versus idealized practice. This book also analyzes challenges facing the emerging CSDS profession, diagnoses key gaps, and prescribes treatments to facilitate advancement. Grounded in the management of information systems (MIS) discipline, insights derive from literature analysis and interviews with 50 global CSDS practitioners. CSDS as a diagnostic process grounded in the scientific method is emphasized throughout Cybersecurity Data Science (CSDS) is a rapidly evolving discipline which applies data science methods to cybersecurity challenges. CSDS reflects the rising interest in applying data-focused statistical, analytical, and machine learning-driven methods to address growing security gaps. This book offers a systematic assessment of the developing domain. Advocacy is provided to strengthen professional rigor and best practices in the emerging CSDS profession. This book will be of interest to a range of professionals associated with cybersecurity and data science, spanning practitioner, commercial, public sector, and academic domains. Best practices framed will be of interest to CSDS practitioners, security professionals, risk management stewards, and institutional stakeholders. Organizational and industry perspectives will be of interest to cybersecurity analysts, managers, planners, strategists, and regulators. Research professionals and academics are presented with a systematic analysis of the CSDS field, including an overview of the state of the art, a structured evaluation of key challenges, recommended best practices, and an extensive bibliography.

Big Data Analytics in Cybersecurity

Onur Savas,Julia Deng
Big Data Analytics in Cybersecurity Book PDF

Author : Onur Savas,Julia Deng
Publisher : CRC Press
Page : 336 pages
File Size : 42,6 Mb
Release : 2017-09-18
Category : Business & Economics
ISBN : 9781498772167

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Big Data Analytics in Cybersecurity by Onur Savas,Julia Deng Pdf

Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research.

Cybersecurity Analytics

Rakesh M. Verma,David J. Marchette
Cybersecurity Analytics Book PDF

Author : Rakesh M. Verma,David J. Marchette
Publisher : CRC Press
Page : 357 pages
File Size : 53,5 Mb
Release : 2019-11-27
Category : Mathematics
ISBN : 9781000727654

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Cybersecurity Analytics by Rakesh M. Verma,David J. Marchette Pdf

Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student and professional who wants to learn about cybersecurity adaptations. Trying to build a malware detector, a phishing email detector, or just interested in finding patterns in your datasets? This book can let you do it on your own. Numerous examples and datasets links are included so that the reader can "learn by doing." Anyone with a basic college-level calculus course and some probability knowledge can easily understand most of the material. The book includes chapters containing: unsupervised learning, semi-supervised learning, supervised learning, text mining, natural language processing, and more. It also includes background on security, statistics, and linear algebra. The website for the book contains a listing of datasets, updates, and other resources for serious practitioners.

Big Data Technologies for Monitoring of Computer Security: A Case Study of the Russian Federation

Sergei Petrenko
Big Data Technologies for Monitoring of Computer Security A Case Study of the Russian Federation Book PDF

Author : Sergei Petrenko
Publisher : Springer
Page : 249 pages
File Size : 52,9 Mb
Release : 2018-05-17
Category : Computers
ISBN : 9783319790367

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Big Data Technologies for Monitoring of Computer Security: A Case Study of the Russian Federation by Sergei Petrenko Pdf

This timely book offers rare insight into the field of cybersecurity in Russia -- a significant player with regard to cyber-attacks and cyber war. Big Data Technologies for Monitoring of Computer Security presents possible solutions to the relatively new scientific/technical problem of developing an early-warning cybersecurity system for critically important governmental information assets. Using the work being done in Russia on new information security systems as a case study, the book shares valuable insights gained during the process of designing and constructing open segment prototypes of this system. Most books on cybersecurity focus solely on the technical aspects. But Big Data Technologies for Monitoring of Computer Security demonstrates that military and political considerations should be included as well. With a broad market including architects and research engineers in the field of information security, as well as managers of corporate and state structures, including Chief Information Officers of domestic automation services (CIO) and chief information security officers (CISO), this book can also be used as a case study in university courses.

Network Security Through Data Analysis

Michael S Collins
Network Security Through Data Analysis Book PDF

Author : Michael S Collins
Publisher : "O'Reilly Media, Inc."
Page : 570 pages
File Size : 52,9 Mb
Release : 2014-02-10
Category : Computers
ISBN : 9781449357863

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Network Security Through Data Analysis by Michael S Collins Pdf

Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In this practical guide, security researcher Michael Collins shows you several techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how your network is used, and what actions are necessary to protect and improve it. Divided into three sections, this book examines the process of collecting and organizing data, various tools for analysis, and several different analytic scenarios and techniques. It’s ideal for network administrators and operational security analysts familiar with scripting. Explore network, host, and service sensors for capturing security data Store data traffic with relational databases, graph databases, Redis, and Hadoop Use SiLK, the R language, and other tools for analysis and visualization Detect unusual phenomena through Exploratory Data Analysis (EDA) Identify significant structures in networks with graph analysis Determine the traffic that’s crossing service ports in a network Examine traffic volume and behavior to spot DDoS and database raids Get a step-by-step process for network mapping and inventory

Data Science For Cyber-security

Adams Niall M,Heard Nicholas A,Rubin-delanchy Patrick
Data Science For Cyber security Book PDF

Author : Adams Niall M,Heard Nicholas A,Rubin-delanchy Patrick
Publisher : World Scientific
Page : 304 pages
File Size : 49,6 Mb
Release : 2018-09-25
Category : Computers
ISBN : 9781786345653

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Data Science For Cyber-security by Adams Niall M,Heard Nicholas A,Rubin-delanchy Patrick Pdf

Cyber-security is a matter of rapidly growing importance in industry and government. This book provides insight into a range of data science techniques for addressing these pressing concerns.The application of statistical and broader data science techniques provides an exciting growth area in the design of cyber defences. Networks of connected devices, such as enterprise computer networks or the wider so-called Internet of Things, are all vulnerable to misuse and attack, and data science methods offer the promise to detect such behaviours from the vast collections of cyber traffic data sources that can be obtained. In many cases, this is achieved through anomaly detection of unusual behaviour against understood statistical models of normality.This volume presents contributed papers from an international conference of the same name held at Imperial College. Experts from the field have provided their latest discoveries and review state of the art technologies.

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 : 45,5 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.

Big Data Analytics in Cybersecurity and IT Management

Onur Savas,Julia Deng
Big Data Analytics in Cybersecurity and IT Management Book PDF

Author : Onur Savas,Julia Deng
Publisher : Unknown
Page : 128 pages
File Size : 54,7 Mb
Release : 2017
Category : Big data
ISBN : 1315154374

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Big Data Analytics in Cybersecurity and IT Management by Onur Savas,Julia Deng Pdf

The power of big data in cybersecurity -- Big data analytics for network forensics -- Dynamic analytics-driven assessment of vulnerabilities and exploitation -- Big data analytics for mobile app security -- Machine unlearning: repairing learning models in adversarial -- Environments -- Cybersecurity training -- Machine unlearning: repairing learning models in adversarial environments -- Big data analytics for mobile app security -- Security, privacy and trust in cloud computing: challenges and solutions -- Cybersecurity in internet of things (IOT) -- Data visualization for cyber security -- Analyzing deviant socio-technical behaviors using social network analysis and cyber forensics-based methodologies -- Security tools -- Data and research initiatives for cybersecurity analysis

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 : 50,9 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.

Research Anthology on Privatizing and Securing Data

Management Association, Information Resources
Research Anthology on Privatizing and Securing Data Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2188 pages
File Size : 53,6 Mb
Release : 2021-04-23
Category : Computers
ISBN : 9781799889557

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Research Anthology on Privatizing and Securing Data by Management Association, Information Resources Pdf

With the immense amount of data that is now available online, security concerns have been an issue from the start, and have grown as new technologies are increasingly integrated in data collection, storage, and transmission. Online cyber threats, cyber terrorism, hacking, and other cybercrimes have begun to take advantage of this information that can be easily accessed if not properly handled. New privacy and security measures have been developed to address this cause for concern and have become an essential area of research within the past few years and into the foreseeable future. The ways in which data is secured and privatized should be discussed in terms of the technologies being used, the methods and models for security that have been developed, and the ways in which risks can be detected, analyzed, and mitigated. The Research Anthology on Privatizing and Securing Data reveals the latest tools and technologies for privatizing and securing data across different technologies and industries. It takes a deeper dive into both risk detection and mitigation, including an analysis of cybercrimes and cyber threats, along with a sharper focus on the technologies and methods being actively implemented and utilized to secure data online. Highlighted topics include information governance and privacy, cybersecurity, data protection, challenges in big data, security threats, and more. This book is essential for data analysts, cybersecurity professionals, data scientists, security analysts, IT specialists, practitioners, researchers, academicians, and students interested in the latest trends and technologies for privatizing and securing data.

Big Data Analytics with Applications in Insider Threat Detection

Bhavani Thuraisingham,Pallabi Parveen,Mohammad Mehedy Masud,Latifur Khan
Big Data Analytics with Applications in Insider Threat Detection Book PDF

Author : Bhavani Thuraisingham,Pallabi Parveen,Mohammad Mehedy Masud,Latifur Khan
Publisher : CRC Press
Page : 544 pages
File Size : 50,5 Mb
Release : 2017-11-22
Category : Computers
ISBN : 9781498705486

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Big Data Analytics with Applications in Insider Threat Detection by Bhavani Thuraisingham,Pallabi Parveen,Mohammad Mehedy Masud,Latifur Khan Pdf

Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.

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 : 40,5 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

Big Data Analytics Strategies for the Smart Grid

Carol L. Stimmel
Big Data Analytics Strategies for the Smart Grid Book PDF

Author : Carol L. Stimmel
Publisher : CRC Press
Page : 258 pages
File Size : 42,9 Mb
Release : 2016-04-19
Category : Computers
ISBN : 9781040074404

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Big Data Analytics Strategies for the Smart Grid by Carol L. Stimmel Pdf

A comprehensive data analytics program is the only way utilities will be able to meet the challenges of modern grids with operational efficiency, while reconciling the demands of greenhouse gas legislation, and establishing a meaningful return on investment from smart grid deployments. This book addresses the requirements for applying big data technologies and approaches, including Big Data cybersecurity, to the critical infrastructure that makes up the electrical utility grid.