Big Data And Security

Big Data and Security PDF
Author: Yuan Tian
Publisher: Springer Nature
ISBN: 9811575304
Size: 18.70 MB
Format: PDF, ePub
Category :
Languages : en
Pages :
View: 488

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Big Data Analytics In Cybersecurity

Big Data Analytics in Cybersecurity PDF
Author: Onur Savas
Publisher: CRC Press
ISBN: 1351650416
Size: 55.52 MB
Format: PDF, ePub
Category : Business & Economics
Languages : en
Pages : 336
View: 787

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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.

Big Data And Security Policies Towards A Framework For Regulating The Phases Of Analytics And Use Of Big Data

Big Data and Security Policies  Towards a Framework for Regulating the Phases of Analytics and Use of Big Data PDF
Author:
Publisher:
ISBN:
Size: 32.59 MB
Format: PDF, Kindle
Category :
Languages : en
Pages :
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Abstract: Big Data analytics in national security, law enforcement and the fight against fraud have the potential to reap great benefits for states, citizens and society but require extra safeguards to protect citizens' fundamental rights. This involves a crucial shift in emphasis from regulating Big Data collection to regulating the phases of analysis and use . In order to benefit from the use of Big Data analytics in the field of security, a framework has to be developed that adds new layers of protection for fundamental rights and safeguards against erroneous and malicious use. Additional regulation is needed at the levels of analysis and use, and the oversight regime is in need of strengthening. At the level of analysis – the algorithmic heart of Big Data processes – a duty of care should be introduced that is part of an internal audit and external review procedure. Big Data projects should also be subject to a sunset clause. At the level of use, profiles and (semi-) automated decision-making should be regulated more tightly. Moreover, the responsibility of the data processing party for accuracy of analysis – and decisions taken on its basis – should be anchored in legislation. The general and security-specific oversight functions should be strengthened in terms of technological expertise, access and resources. The possibilities for judicial review should be expanded to stimulate the development of case law.

Internet Of Things For Smart Cities

Internet of Things for Smart Cities PDF
Author: Waleed Ejaz
Publisher: Springer
ISBN: 3319950371
Size: 44.89 MB
Format: PDF, Docs
Category : Technology & Engineering
Languages : en
Pages : 66
View: 3747

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This book introduces the concept of smart city as the potential solution to the challenges created by urbanization. The Internet of Things (IoT) offers novel features with minimum human intervention in smart cities. This book describes different components of Internet of Things (IoT) for smart cities including sensor technologies, communication technologies, big data analytics and security.

Privacy And Security Policies In Big Data

Privacy and Security Policies in Big Data PDF
Author: Tamane, Sharvari
Publisher: IGI Global
ISBN: 1522524878
Size: 62.83 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 305
View: 3696

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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

Handbook of Big Data Privacy PDF
Author: Kim-Kwang Raymond Choo
Publisher: Springer Nature
ISBN: 3030385574
Size: 16.61 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 397
View: 6826

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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.

Enabling Big Data Applications For Security

Enabling Big Data Applications for Security PDF
Author: Bart Custers
Publisher: The Hague Centre for Strategic Studies
ISBN:
Size: 63.68 MB
Format: PDF, Kindle
Category :
Languages : en
Pages : 52
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There are all kinds of new applications in development today that make increasingly smarter use of Big Data. Take for example the recent announcements that judicial decisions can be predicted by computers. In the security domain there are numerous possibilities to use these technologies too. At the same time the security domain bears the risk of exclusion and inducing mistrust among the civilian population regarding the limitless use of personal data. This report outlines how to develop technologies responsibly for this challenging domain. Big Data is the next great opportunity for security organizations and individuals alike. The idea is to feed a computer with large amounts of data in order to perform faster and more accurate analyses and create a real-time, situational understanding of security situations. At this point however, the technological developments remain in a state of flux. The authors hope to inspire the reader and increase awareness as well as provide insights into how to develop responsible Big Data applications for security. This report provides a description of technological developments and explains how these developments can be used to support more responsible, effective and efficient security. Three of the most prevailing observations are: Big Data and High Performance Computing have a very large set of multifaceted capabilities to contribute to security.For the acceptance of the applications, society, public organizations and the corporate business world should establish a framework on the eligibility of these developments.Decisions affecting humanity are increasingly being taken by computers, which raises tremendous responsibility regarding the correctness and ethical values represented in Artificial Intelligence. The observations evoke, among others, the following five questions that will be addressed in this report: What are computers able to do with Big Data?What do we ask from the computers?What is desirable to ask from the computers?What happens in practice at this moment?What should be the Call for Action?

Data Privacy And Security In Business Intelligence And Analytics

Data Privacy and Security in Business Intelligence and Analytics PDF
Author: Victoria Beleuta
Publisher:
ISBN:
Size: 67.19 MB
Format: PDF, ePub, Mobi
Category :
Languages : en
Pages :
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Widespread web application adoption created a large, complex and varied amount of data known as Big Data. These data sets have a great value for many economic and scientific sectors, however they come with additional difficulties when it comes to storing and analyzing them. Big Data Analytics is the term that describes the process of researching this massive amount of information in order to find hidden patterns and correlations. Business Intelligence departments can now support decision-making processes based on this broad range of data points collected throughout the lifetime of an application and the designated user's interaction with it. However, the abundance and extensive use of Big Data comes with a number of security and privacy risks that must be addressed. This work identifies and analyzes these concerns as well as their requirements. Focusing on user privacy, some of the major issues include: over collection of data in mobile applications, misuse of data, and multi-source data analysis. These issues can not always be solved using existing privacy preserving methods. The variety and velocity of Big Data makes it difficult to distinguish between sensitive and nonsensitive information, so traditional anonymization techniques can not always be used. Furthermore, analyzing multi-source datasets can lead to risks of user reidentification. In this paper we investigate proposed solutions for securing Big Data as well as ways to maintain data privacy. We look into two major use cases: healthcare and web analytics, where Big Data is becoming more and more important. We sum up with a comparison of the requirements and solutions used to preserve user data privacy for the statistical and clinical data collected in today's applications.

Handbook Of Big Data And Iot Security

Handbook of Big Data and IoT Security PDF
Author: Ali Dehghantanha
Publisher: Springer
ISBN: 3030105431
Size: 65.32 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 384
View: 6869

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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.

Big Data

Big Data PDF
Author: Fei Hu
Publisher: CRC Press
ISBN: 1498734871
Size: 29.77 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 463
View: 2249

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Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details-making them unsuitable to R&D people. To fill such a need, Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S desi

Advances In Big Data And Cloud Computing

Advances in Big Data and Cloud Computing PDF
Author: Elijah Blessing Rajsingh
Publisher: Springer
ISBN: 9811072000
Size: 25.60 MB
Format: PDF
Category : Technology & Engineering
Languages : en
Pages : 413
View: 4245

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This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. It includes recent advances in the areas of big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. Primarily focusing on the application of knowledge that promotes ideas for solving the problems of the society through cutting-edge technologies, it provides novel ideas that further world-class research and development. This concise compilation of articles approved by a panel of expert reviewers is an invaluable resource for researchers in the area of advanced engineering sciences.

Application Of Big Data For National Security

Application of Big Data for National Security PDF
Author: Babak Akhgar
Publisher: Butterworth-Heinemann
ISBN: 0128019735
Size: 16.31 MB
Format: PDF
Category : Political Science
Languages : en
Pages : 316
View: 4133

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Application of Big Data for National Security provides users with state-of-the-art concepts, methods, and technologies for Big Data analytics in the fight against terrorism and crime, including a wide range of case studies and application scenarios. This book combines expertise from an international team of experts in law enforcement, national security, and law, as well as computer sciences, criminology, linguistics, and psychology, creating a unique cross-disciplinary collection of knowledge and insights into this increasingly global issue. The strategic frameworks and critical factors presented in Application of Big Data for National Security consider technical, legal, ethical, and societal impacts, but also practical considerations of Big Data system design and deployment, illustrating how data and security concerns intersect. In identifying current and future technical and operational challenges it supports law enforcement and government agencies in their operational, tactical and strategic decisions when employing Big Data for national security Contextualizes the Big Data concept and how it relates to national security and crime detection and prevention Presents strategic approaches for the design, adoption, and deployment of Big Data technologies in preventing terrorism and reducing crime Includes a series of case studies and scenarios to demonstrate the application of Big Data in a national security context Indicates future directions for Big Data as an enabler of advanced crime prevention and detection