Network Security Through Data Analysis
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Network Security Through Data Analysis
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Author : Michael Patrick Collins
language : en
Publisher:
Release Date : 2017
Network Security Through Data Analysis written by Michael Patrick Collins and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Communication categories.
Network Security Through Data Analysis
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Author : Michael Collins
language : en
Publisher:
Release Date : 2014
Network Security Through Data Analysis written by Michael Collins and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Traditional intrusion detection and logfile analysis are no longer enough to protect today{u2019}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{u2019}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{u2019}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{u2019}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.
Network Security Through Data Analysis
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Author : Michael Collins
language : en
Publisher:
Release Date : 2014
Network Security Through Data Analysis written by Michael Collins and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Data Analysis For Network Cyber Security
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Author : Niall M Adams
language : en
Publisher: World Scientific
Release Date : 2014-04-04
Data Analysis For Network Cyber Security written by Niall M Adams and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-04 with Mathematics categories.
There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with engineering systems that are robust to attack. However, no system can be made invulnerable. Data Analysis for Network Cyber-Security focuses on monitoring and analyzing network traffic data, with the intention of preventing, or quickly identifying, malicious activity.Such work involves the intersection of statistics, data mining and computer science. Fundamentally, network traffic is relational, embodying a link between devices. As such, graph analysis approaches are a natural candidate. However, such methods do not scale well to the demands of real problems, and the critical aspect of the timing of communications events is not accounted for in these approaches.This book gathers papers from leading researchers to provide both background to the problems and a description of cutting-edge methodology. The contributors are from diverse institutions and areas of expertise and were brought together at a workshop held at the University of Bristol in March 2013 to address the issues of network cyber security. The workshop was supported by the Heilbronn Institute for Mathematical Research.
Big Data Analytics In Cybersecurity
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Author : Onur Savas
language : en
Publisher: CRC Press
Release Date : 2017-09-18
Big Data Analytics In Cybersecurity written by Onur Savas and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-18 with Business & Economics categories.
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.
Materials Mechatronics And Automation
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Author : Dehuai Zeng
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2011-02-21
Materials Mechatronics And Automation written by Dehuai Zeng and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-21 with Technology & Engineering categories.
Selected, peer reviewed papers from the 2011 International Conference on Materials, Mechatronics and Automation (ICMMA 2011), On 15-16 January, 2011, Australia, Melbourne
Data Analytics And Decision Support For Cybersecurity
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Author : Iván Palomares Carrascosa
language : en
Publisher: Springer
Release Date : 2017-08-01
Data Analytics And Decision Support For Cybersecurity written by Iván Palomares Carrascosa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-01 with Computers categories.
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.
Computer Security Journal
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Author :
language : en
Publisher:
Release Date : 1996
Computer Security Journal written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computer crimes categories.
International Ciip Handbook 2006 Inventory Of 20 National And 6 International Critical Information Infrastructure Protection Policies
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Author : Isabelle Abele-Wigert
language : en
Publisher:
Release Date : 2006
International Ciip Handbook 2006 Inventory Of 20 National And 6 International Critical Information Infrastructure Protection Policies written by Isabelle Abele-Wigert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computer networks categories.
Data Science For Cyber Security
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Author : Nicholas A Heard
language : en
Publisher: World Scientific
Release Date : 2018-09-26
Data Science For Cyber Security written by Nicholas A Heard and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-26 with Computers categories.
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.