Mining Massive Data Sets For Security

Autor: Françoise Fogelman-Soulié
Publisher: IOS Press
ISBN: 1586038982
File Size: 21,74 MB
Format: PDF, ePub
Read: 5578
Download or Read Book
The real power for security applications will come from the synergy of academic and commercial research focusing on the specific issue of security. Special constraints apply to this domain, which are not always taken into consideration by academic research, but are critical for successful security applications: large volumes: techniques must be able to handle huge amounts of data and perform 'on-line' computation; scalability: algorithms must have processing times that scale well with ever growing volumes; automation: the analysis process must be automated so that information extraction can 'run on its own'; ease of use: everyday citizens should be able to extract and assess the necessary information; and robustness: systems must be able to cope with data of poor quality (missing or erroneous data). The NATO Advanced Study Institute (ASI) on Mining Massive Data Sets for Security, held in Italy, September 2007, brought together around ninety participants to discuss these issues. This publication includes the most important contributions, but can of course not entirely reflect the lively interactions which allowed the participants to exchange their views and share their experience. The bridge between academic methods and industrial constraints is systematically discussed throughout. This volume will thus serve as a reference book for anyone interested in understanding the techniques for handling very large data sets and how to apply them in conjunction for solving security issues.

Mining Of Massive Datasets

Autor: Jure Leskovec
Publisher: Cambridge University Press
ISBN: 1107077230
File Size: 28,57 MB
Format: PDF, Docs
Read: 4072
Download or Read Book
Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.

Machine Learning And Data Mining For Computer Security

Autor: Marcus A. Maloof
Publisher: Springer Science & Business Media
ISBN: 1846282535
File Size: 39,71 MB
Format: PDF, Mobi
Read: 4544
Download or Read Book
"Machine Learning and Data Mining for Computer Security" provides an overview of the current state of research in machine learning and data mining as it applies to problems in computer security. This book has a strong focus on information processing and combines and extends results from computer security. The first part of the book surveys the data sources, the learning and mining methods, evaluation methodologies, and past work relevant for computer security. The second part of the book consists of articles written by the top researchers working in this area. These articles deals with topics of host-based intrusion detection through the analysis of audit trails, of command sequences and of system calls as well as network intrusion detection through the analysis of TCP packets and the detection of malicious executables. This book fills the great need for a book that collects and frames work on developing and applying methods from machine learning and data mining to problems in computer security.

Applications Of Data Mining In Computer Security

Autor: Daniel Barbará
Publisher: Springer Science & Business Media
ISBN: 146150953X
File Size: 22,96 MB
Format: PDF, ePub, Mobi
Read: 3601
Download or Read Book
Data mining is becoming a pervasive technology in activities as diverse as using historical data to predict the success of a marketing campaign, looking for patterns in financial transactions to discover illegal activities or analyzing genome sequences. From this perspective, it was just a matter of time for the discipline to reach the important area of computer security. Applications Of Data Mining In Computer Security presents a collection of research efforts on the use of data mining in computer security. Applications Of Data Mining In Computer Security concentrates heavily on the use of data mining in the area of intrusion detection. The reason for this is twofold. First, the volume of data dealing with both network and host activity is so large that it makes it an ideal candidate for using data mining techniques. Second, intrusion detection is an extremely critical activity. This book also addresses the application of data mining to computer forensics. This is a crucial area that seeks to address the needs of law enforcement in analyzing the digital evidence.

Big Data Analysis New Algorithms For A New Society

Autor: Nathalie Japkowicz
Publisher: Springer
ISBN: 3319269895
File Size: 70,72 MB
Format: PDF, ePub, Mobi
Read: 8620
Download or Read Book
This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.

Handbook Of Research On Advanced Data Mining Techniques And Applications For Business Intelligence

Autor: Trivedi, Shrawan Kumar
Publisher: IGI Global
ISBN: 1522520325
File Size: 20,88 MB
Format: PDF, Kindle
Read: 5438
Download or Read Book
The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.

Learning Google Bigquery

Autor: Thirukkumaran Haridass
Publisher: Packt Publishing Ltd
ISBN: 1787286290
File Size: 77,60 MB
Format: PDF, ePub
Read: 167
Download or Read Book
Get a fundamental understanding of how Google BigQuery works by analyzing and querying large datasets About This Book Get started with BigQuery API and write custom applications using it Learn how BigQuery API can be used for storing, managing, and query massive datasets with ease A practical guide with examples and use-cases to teach you everything you need to know about Google BigQuery Who This Book Is For If you are a developer, data analyst, or a data scientist looking to run complex queries over thousands of records in seconds, this book will help you. No prior experience of working with BigQuery is assumed. What You Will Learn Get a hands-on introduction to Google Cloud Platform and its services Understand the different data types supported by Google BigQuery Migrate your enterprise data to BigQuery and query it using the legacy and standard SQL techniques Use partition tables in your project and query external data sources and wild card tables Create tables and data sets dynamically using the BigQuery API Perform real-time inserting of records for analytics using Python and C# Visualize your BigQuery data by connecting it to third party tools such as Tableau and R Master the Google Cloud Pub/Sub for implementing real-time reporting and analytics of your Big Data In Detail Google BigQuery is a popular cloud data warehouse for large-scale data analytics. This book will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from your Big Data. You will begin with getting a quick overview of the Google Cloud Platform and the various services it supports. Then, you will be introduced to the Google BigQuery API and how it fits within in the framework of GCP. The book covers useful techniques to migrate your existing data from your enterprise to Google BigQuery, as well as readying and optimizing it for analysis. You will perform basic as well as advanced data querying using BigQuery, and connect the results to various third party tools for reporting and visualization purposes such as R and Tableau. If you're looking to implement real-time reporting of your streaming data running in your enterprise, this book will also help you. This book also provides tips, best practices and mistakes to avoid while working with Google BigQuery and services that interact with it. By the time you're done with it, you will have set a solid foundation in working with BigQuery to solve even the trickiest of data problems. Style and Approach This book follows a step-by-step approach to teach readers the concepts of Google BigQuery using SQL. To explain various data querying processes, large-scale datasets are used wherever required.

Legal Knowledge And Information Systems

Autor: R. Hoekstra
Publisher: IOS Press
ISBN: 1614994684
File Size: 37,13 MB
Format: PDF
Read: 4385
Download or Read Book
The JURIX conferences are an established international forum for academics, practitioners, government and industry to present and discuss advanced research at the interface between law and computer science. Subjects addressed in this book cover all aspects of this diverse field: theoretical – focused on a better understanding of argumentation, reasoning, norms and evidence; empirical – targeted at a more general understanding of law and legal texts in particular; and practical papers aimed at enabling a broader technical application of theoretical insights. This book presents the proceedings of the 27th International Conference on Legal Knowledge and Information Systems: JURIX 2014, held in Kraków, Poland, in December 2014. The book includes the 14 full papers, 8 short papers, 6 posters and 2 demos – the first time that poster submissions have been included in the proceedings. The book will be of interest to all those whose work involves legal theory, argumentation and practice and who need a current overview of the ways in which current information technology is relevant to legal practice.

Handbook Of Statistical Analysis And Data Mining Applications

Autor: Robert Nisbet
Publisher: Elsevier
ISBN: 0124166458
File Size: 25,78 MB
Format: PDF, ePub, Docs
Read: 6889
Download or Read Book
Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. Includes input by practitioners for practitioners Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models Contains practical advice from successful real-world implementations Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications