Security Privacy And Forensics Issues In Big Data

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Security, Privacy, and Forensics Issues in Big Data

Joshi, Ramesh C.,Gupta, Brij B.
Security Privacy and Forensics Issues in Big Data Book PDF

Author : Joshi, Ramesh C.,Gupta, Brij B.
Publisher : IGI Global
Page : 456 pages
File Size : 42,8 Mb
Release : 2019-08-30
Category : Computers
ISBN : 9781522597445

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Security, Privacy, and Forensics Issues in Big Data by Joshi, Ramesh C.,Gupta, Brij B. Pdf

With the proliferation of devices connected to the internet and connected to each other, the volume of data collected, stored, and processed is increasing every day, which brings new challenges in terms of information security. As big data expands with the help of public clouds, traditional security solutions tailored to private computing infrastructures and confined to a well-defined security perimeter, such as firewalls and demilitarized zones (DMZs), are no longer effective. New security functions are required to work over the heterogenous composition of diverse hardware, operating systems, and network domains. Security, Privacy, and Forensics Issues in Big Data is an essential research book that examines recent advancements in big data and the impact that these advancements have on information security and privacy measures needed for these networks. Highlighting a range of topics including cryptography, data analytics, and threat detection, this is an excellent reference source for students, software developers and engineers, security analysts, IT consultants, academicians, researchers, and professionals.

Privacy and Security Policies in Big Data

Tamane, Sharvari,Solanki, Vijender Kumar,Dey, Nilanjan
Privacy and Security Policies in Big Data Book PDF

Author : Tamane, Sharvari,Solanki, Vijender Kumar,Dey, Nilanjan
Publisher : IGI Global
Page : 305 pages
File Size : 44,5 Mb
Release : 2017-03-03
Category : Computers
ISBN : 9781522524878

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Privacy and Security Policies in Big Data by Tamane, Sharvari,Solanki, Vijender Kumar,Dey, Nilanjan Pdf

In recent years, technological advances have led to significant developments within a variety of business applications. In particular, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently. Privacy and Security Policies in Big Data is a pivotal reference source for the latest research on innovative concepts on the management of security and privacy analytics within big data. Featuring extensive coverage on relevant areas such as kinetic knowledge, cognitive analytics, and parallel computing, this publication is an ideal resource for professionals, researchers, academicians, advanced-level students, and technology developers in the field of big data.

Handbook of Big Data Privacy

Kim-Kwang Raymond Choo,Ali Dehghantanha
Handbook of Big Data Privacy Book PDF

Author : Kim-Kwang Raymond Choo,Ali Dehghantanha
Publisher : Springer Nature
Page : 397 pages
File Size : 47,5 Mb
Release : 2020-03-18
Category : Computers
ISBN : 9783030385576

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Handbook of Big Data Privacy by Kim-Kwang Raymond Choo,Ali Dehghantanha Pdf

This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first part of this book offers a review of security challenges in critical infrastructure and offers methods that utilize acritical intelligence (AI) techniques to overcome those issues. It then focuses on big data security and privacy issues in relation to developments in the Industry 4.0. Internet of Things (IoT) devices are becoming a major source of security and privacy concern in big data platforms. Multiple solutions that leverage machine learning for addressing security and privacy issues in IoT environments are also discussed this handbook. The second part of this handbook is focused on privacy and security issues in different layers of big data systems. It discusses about methods for evaluating security and privacy of big data systems on network, application and physical layers. This handbook elaborates on existing methods to use data analytic and AI techniques at different layers of big data platforms to identify privacy and security attacks. The final part of this handbook is focused on analyzing cyber threats applicable to the big data environments. It offers an in-depth review of attacks applicable to big data platforms in smart grids, smart farming, FinTech, and health sectors. Multiple solutions are presented to detect, prevent and analyze cyber-attacks and assess the impact of malicious payloads to those environments. This handbook provides information for security and privacy experts in most areas of big data including; FinTech, Industry 4.0, Internet of Things, Smart Grids, Smart Farming and more. Experts working in big data, privacy, security, forensics, malware analysis, machine learning and data analysts will find this handbook useful as a reference. Researchers and advanced-level computer science students focused on computer systems, Internet of Things, Smart Grid, Smart Farming, Industry 4.0 and network analysts will also find this handbook useful as a reference.

Security and Privacy for Big Data, Cloud Computing and Applications

Wei Ren,Lizhe Wang,Fatos Xhafa,Kim-Kwang Raymond Choo
Security and Privacy for Big Data Cloud Computing and Applications Book PDF

Author : Wei Ren,Lizhe Wang,Fatos Xhafa,Kim-Kwang Raymond Choo
Publisher : Computing and Networks
Page : 329 pages
File Size : 45,7 Mb
Release : 2019-09
Category : Computers
ISBN : 9781785617478

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Security and Privacy for Big Data, Cloud Computing and Applications by Wei Ren,Lizhe Wang,Fatos Xhafa,Kim-Kwang Raymond Choo Pdf

This book examines various topics and approaches related to the security and privacy in big data and cloud computing, where authors share their expertise in their respective chapters on a broad range of security and privacy challenges and state of the art solutions.

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 : 50,9 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 Security

Shibakali Gupta,Indradip Banerjee,Siddhartha Bhattacharyya
Big Data Security Book PDF

Author : Shibakali Gupta,Indradip Banerjee,Siddhartha Bhattacharyya
Publisher : Walter de Gruyter GmbH & Co KG
Page : 223 pages
File Size : 52,6 Mb
Release : 2019-10-08
Category : Computers
ISBN : 9783110605969

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Big Data Security by Shibakali Gupta,Indradip Banerjee,Siddhartha Bhattacharyya Pdf

After a short description of the key concepts of big data the book explores on the secrecy and security threats posed especially by cloud based data storage. It delivers conceptual frameworks and models along with case studies of recent technology.

Handbook of Research on Network Forensics and Analysis Techniques

Shrivastava, Gulshan,Kumar, Prabhat,Gupta, B. B.,Bala, Suman,Dey, Nilanjan
Handbook of Research on Network Forensics and Analysis Techniques Book PDF

Author : Shrivastava, Gulshan,Kumar, Prabhat,Gupta, B. B.,Bala, Suman,Dey, Nilanjan
Publisher : IGI Global
Page : 509 pages
File Size : 48,6 Mb
Release : 2018-04-06
Category : Computers
ISBN : 9781522541011

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Handbook of Research on Network Forensics and Analysis Techniques by Shrivastava, Gulshan,Kumar, Prabhat,Gupta, B. B.,Bala, Suman,Dey, Nilanjan Pdf

With the rapid advancement in technology, myriad new threats have emerged in online environments. The broad spectrum of these digital risks requires new and innovative methods for protection against cybercrimes. The Handbook of Research on Network Forensics and Analysis Techniques is a current research publication that examines the advancements and growth of forensic research from a relatively obscure tradecraft to an important part of many investigations. Featuring coverage on a broad range of topics including cryptocurrency, hand-based biometrics, and cyberterrorism, this publication is geared toward professionals, computer forensics practitioners, engineers, researchers, and academics seeking relevant research on the development of forensic tools.

Security and Privacy Trends in Cloud Computing and Big Data

Muhammad Imran Tariq,Valentina Emilia Balas,Shahzadi Tayyaba
Security and Privacy Trends in Cloud Computing and Big Data Book PDF

Author : Muhammad Imran Tariq,Valentina Emilia Balas,Shahzadi Tayyaba
Publisher : CRC Press
Page : 233 pages
File Size : 46,6 Mb
Release : 2022-06-07
Category : Computers
ISBN : 9781000583632

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Security and Privacy Trends in Cloud Computing and Big Data by Muhammad Imran Tariq,Valentina Emilia Balas,Shahzadi Tayyaba Pdf

It is essential for an organization to know before involving themselves in cloud computing and big data, what are the key security requirements for applications and data processing. Big data and cloud computing are integrated together in practice. Cloud computing offers massive storage, high computation power, and distributed capability to support processing of big data. In such an integrated environment the security and privacy concerns involved in both technologies become combined. This book discusses these security and privacy issues in detail and provides necessary insights into cloud computing and big data integration. It will be useful in enhancing the body of knowledge concerning innovative technologies offered by the research community in the area of cloud computing and big data. Readers can get a better understanding of the basics of cloud computing, big data, and security mitigation techniques to deal with current challenges as well as future research opportunities.

Big Data Analytics and Computing for Digital Forensic Investigations

Suneeta Satpathy,Sachi Nandan Mohanty
Big Data Analytics and Computing for Digital Forensic Investigations Book PDF

Author : Suneeta Satpathy,Sachi Nandan Mohanty
Publisher : CRC Press
Page : 199 pages
File Size : 46,5 Mb
Release : 2020-03-17
Category : Computers
ISBN : 9781000045055

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Big Data Analytics and Computing for Digital Forensic Investigations by Suneeta Satpathy,Sachi Nandan Mohanty Pdf

Digital forensics has recently gained a notable development and become the most demanding area in today’s information security requirement. This book investigates the areas of digital forensics, digital investigation and data analysis procedures as they apply to computer fraud and cybercrime, with the main objective of describing a variety of digital crimes and retrieving potential digital evidence. Big Data Analytics and Computing for Digital Forensic Investigations gives a contemporary view on the problems of information security. It presents the idea that protective mechanisms and software must be integrated along with forensic capabilities into existing forensic software using big data computing tools and techniques. Features Describes trends of digital forensics served for big data and the challenges of evidence acquisition Enables digital forensic investigators and law enforcement agencies to enhance their digital investigation capabilities with the application of data science analytics, algorithms and fusion technique This book is focused on helping professionals as well as researchers to get ready with next-generation security systems to mount the rising challenges of computer fraud and cybercrimes as well as with digital forensic investigations. Dr Suneeta Satpathy has more than ten years of teaching experience in different subjects of the Computer Science and Engineering discipline. She is currently working as an associate professor in the Department of Computer Science and Engineering, College of Bhubaneswar, affiliated with Biju Patnaik University and Technology, Odisha. Her research interests include computer forensics, cybersecurity, data fusion, data mining, big data analysis and decision mining. Dr Sachi Nandan Mohanty is an associate professor in the Department of Computer Science and Engineering at ICFAI Tech, ICFAI Foundation for Higher Education, Hyderabad, India. His research interests include data mining, big data analysis, cognitive science, fuzzy decision-making, brain–computer interface, cognition and computational intelligence.

Handbook of Big Data and IoT Security

Ali Dehghantanha,Kim-Kwang Raymond Choo
Handbook of Big Data and IoT Security Book PDF

Author : Ali Dehghantanha,Kim-Kwang Raymond Choo
Publisher : Springer
Page : 384 pages
File Size : 54,5 Mb
Release : 2019-03-22
Category : Computers
ISBN : 9783030105433

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Handbook of Big Data and IoT Security by Ali Dehghantanha,Kim-Kwang Raymond Choo Pdf

This handbook provides an overarching view of cyber security and digital forensic challenges related to big data and IoT environment, prior to reviewing existing data mining solutions and their potential application in big data context, and existing authentication and access control for IoT devices. An IoT access control scheme and an IoT forensic framework is also presented in this book, and it explains how the IoT forensic framework can be used to guide investigation of a popular cloud storage service. A distributed file system forensic approach is also presented, which is used to guide the investigation of Ceph. Minecraft, a Massively Multiplayer Online Game, and the Hadoop distributed file system environment are also forensically studied and their findings reported in this book. A forensic IoT source camera identification algorithm is introduced, which uses the camera's sensor pattern noise from the captured image. In addition to the IoT access control and forensic frameworks, this handbook covers a cyber defense triage process for nine advanced persistent threat (APT) groups targeting IoT infrastructure, namely: APT1, Molerats, Silent Chollima, Shell Crew, NetTraveler, ProjectSauron, CopyKittens, Volatile Cedar and Transparent Tribe. The characteristics of remote-controlled real-world Trojans using the Cyber Kill Chain are also examined. It introduces a method to leverage different crashes discovered from two fuzzing approaches, which can be used to enhance the effectiveness of fuzzers. Cloud computing is also often associated with IoT and big data (e.g., cloud-enabled IoT systems), and hence a survey of the cloud security literature and a survey of botnet detection approaches are presented in the book. Finally, game security solutions are studied and explained how one may circumvent such solutions. This handbook targets the security, privacy and forensics research community, and big data research community, including policy makers and government agencies, public and private organizations policy makers. Undergraduate and postgraduate students enrolled in cyber security and forensic programs will also find this handbook useful as a reference.

Privacy and Security Issues in Big Data

Pradip Kumar Das,Hrudaya Kumar Tripathy,Shafiz Affendi Mohd Yusof
Privacy and Security Issues in Big Data Book PDF

Author : Pradip Kumar Das,Hrudaya Kumar Tripathy,Shafiz Affendi Mohd Yusof
Publisher : Springer Nature
Page : 219 pages
File Size : 53,8 Mb
Release : 2021-04-23
Category : Computers
ISBN : 9789811610073

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Privacy and Security Issues in Big Data by Pradip Kumar Das,Hrudaya Kumar Tripathy,Shafiz Affendi Mohd Yusof Pdf

This book focuses on privacy and security concerns in big data and differentiates between privacy and security and privacy requirements in big data. It focuses on the results obtained after applying a systematic mapping study and implementation of security in the big data for utilizing in business under the establishment of “Business Intelligence”. The chapters start with the definition of big data, discussions why security is used in business infrastructure and how the security can be improved. In this book, some of the data security and data protection techniques are focused and it presents the challenges and suggestions to meet the requirements of computing, communication and storage capabilities for data mining and analytics applications with large aggregate data in business.

Handbook of Big Data Analytics and Forensics

Kim-Kwang Raymond Choo,Ali Dehghantanha
Handbook of Big Data Analytics and Forensics Book PDF

Author : Kim-Kwang Raymond Choo,Ali Dehghantanha
Publisher : Springer Nature
Page : 288 pages
File Size : 54,5 Mb
Release : 2021-12-02
Category : Computers
ISBN : 9783030747534

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Handbook of Big Data Analytics and Forensics by Kim-Kwang Raymond Choo,Ali Dehghantanha Pdf

This handbook discusses challenges and limitations in existing solutions, and presents state-of-the-art advances from both academia and industry, in big data analytics and digital forensics. The second chapter comprehensively reviews IoT security, privacy, and forensics literature, focusing on IoT and unmanned aerial vehicles (UAVs). The authors propose a deep learning-based approach to process cloud’s log data and mitigate enumeration attacks in the third chapter. The fourth chapter proposes a robust fuzzy learning model to protect IT-based infrastructure against advanced persistent threat (APT) campaigns. Advanced and fair clustering approach for industrial data, which is capable of training with huge volume of data in a close to linear time is introduced in the fifth chapter, as well as offering an adaptive deep learning model to detect cyberattacks targeting cyber physical systems (CPS) covered in the sixth chapter. The authors evaluate the performance of unsupervised machine learning for detecting cyberattacks against industrial control systems (ICS) in chapter 7, and the next chapter presents a robust fuzzy Bayesian approach for ICS’s cyber threat hunting. This handbook also evaluates the performance of supervised machine learning methods in identifying cyberattacks against CPS. The performance of a scalable clustering algorithm for CPS’s cyber threat hunting and the usefulness of machine learning algorithms for MacOS malware detection are respectively evaluated. This handbook continues with evaluating the performance of various machine learning techniques to detect the Internet of Things malware. The authors demonstrate how MacOSX cyberattacks can be detected using state-of-the-art machine learning models. In order to identify credit card frauds, the fifteenth chapter introduces a hybrid model. In the sixteenth chapter, the editors propose a model that leverages natural language processing techniques for generating a mapping between APT-related reports and cyber kill chain. A deep learning-based approach to detect ransomware is introduced, as well as a proposed clustering approach to detect IoT malware in the last two chapters. This handbook primarily targets professionals and scientists working in Big Data, Digital Forensics, Machine Learning, Cyber Security Cyber Threat Analytics and Cyber Threat Hunting as a reference book. Advanced level-students and researchers studying and working in Computer systems, Computer networks and Artificial intelligence will also find this reference useful.

Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics

Khosrow-Pour, D.B.A., Mehdi
Advanced Methodologies and Technologies in Network Architecture Mobile Computing and Data Analytics Book PDF

Author : Khosrow-Pour, D.B.A., Mehdi
Publisher : IGI Global
Page : 1857 pages
File Size : 51,5 Mb
Release : 2018-10-19
Category : Computers
ISBN : 9781522575993

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Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics by Khosrow-Pour, D.B.A., Mehdi Pdf

From cloud computing to data analytics, society stores vast supplies of information through wireless networks and mobile computing. As organizations are becoming increasingly more wireless, ensuring the security and seamless function of electronic gadgets while creating a strong network is imperative. Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics highlights the challenges associated with creating a strong network architecture in a perpetually online society. Readers will learn various methods in building a seamless mobile computing option and the most effective means of analyzing big data. This book is an important resource for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, and IT specialists seeking modern information on emerging methods in data mining, information technology, and wireless networks.

Handbook of Research on Security Considerations in Cloud Computing

Munir, Kashif
Handbook of Research on Security Considerations in Cloud Computing Book PDF

Author : Munir, Kashif
Publisher : IGI Global
Page : 409 pages
File Size : 44,6 Mb
Release : 2015-07-28
Category : Computers
ISBN : 9781466683884

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Handbook of Research on Security Considerations in Cloud Computing by Munir, Kashif Pdf

Cloud computing has quickly become the next big step in security development for companies and institutions all over the world. With the technology changing so rapidly, it is important that businesses carefully consider the available advancements and opportunities before implementing cloud computing in their organizations. The Handbook of Research on Security Considerations in Cloud Computing brings together discussion on current approaches to cloud-based technologies and assesses the possibilities for future advancements in this field. Highlighting the need for consumers to understand the unique nature of cloud-delivered security and to evaluate the different aspects of this service to verify if it will meet their needs, this book is an essential reference source for researchers, scholars, postgraduate students, and developers of cloud security systems.

Privacy, Security And Forensics in The Internet of Things (IoT)

Reza Montasari,Fiona Carroll,Ian Mitchell,Sukhvinder Hara,Rachel Bolton-King
Privacy Security And Forensics in The Internet of Things IoT Book PDF

Author : Reza Montasari,Fiona Carroll,Ian Mitchell,Sukhvinder Hara,Rachel Bolton-King
Publisher : Springer Nature
Page : 220 pages
File Size : 40,9 Mb
Release : 2022-02-16
Category : Computers
ISBN : 9783030912185

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Privacy, Security And Forensics in The Internet of Things (IoT) by Reza Montasari,Fiona Carroll,Ian Mitchell,Sukhvinder Hara,Rachel Bolton-King Pdf

This book provides the most recent security, privacy, technical and legal challenges in the IoT environments. This book offers a wide range of theoretical and technical solutions to address these challenges. Topics covered in this book include; IoT, privacy, ethics and security, the use of machine learning algorithms in classifying malicious websites, investigation of cases involving cryptocurrency, the challenges police and law enforcement face in policing cyberspace, the use of the IoT in modern terrorism and violent extremism, the challenges of the IoT in view of industrial control systems, and the impact of social media platforms on radicalisation to terrorism and violent extremism. This book also focuses on the ethical design of the IoT and the large volumes of data being collected and processed in an attempt to understand individuals’ perceptions of data and trust. A particular emphasis is placed on data ownership and perceived rights online. It examines cyber security challenges associated with the IoT, by making use of Industrial Control Systems, using an example with practical real-time considerations. Furthermore, this book compares and analyses different machine learning techniques, i.e., Gaussian Process Classification, Decision Tree Classification, and Support Vector Classification, based on their ability to learn and detect the attributes of malicious web applications. The data is subjected to multiple steps of pre-processing including; data formatting, missing value replacement, scaling and principal component analysis. This book has a multidisciplinary approach. Researchers working within security, privacy, technical and legal challenges in the IoT environments and advanced-level students majoring in computer science will find this book useful as a reference. Professionals working within this related field will also want to purchase this book.