Statistical Methods In Computer Security
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Statistical Methods In Computer Security
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Author : William W.S. Chen
language : en
Publisher: CRC Press
Release Date : 2004-12-28
Statistical Methods In Computer Security written by William W.S. Chen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-12-28 with Computers categories.
Statistical Methods in Computer Security summarizes discussions held at the recent Joint Statistical Meeting to provide a clear layout of current applications in the field. This blue-ribbon reference discusses the most influential advancements in computer security policy, firewalls, and security issues related to passwords. It addresses crime and m
Statistical Methods In Computer Security
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Author : Reynaldo Ballard
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-03-23
Statistical Methods In Computer Security written by Reynaldo Ballard and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-23 with categories.
Statistical Methods in Computer Security summarizes discussions held at the recent Joint Statistical Meeting to provide a clear layout of current applications in the field. This blue-ribbon reference discusses the most influential advancements in computer security policy, firewalls, and security issues related to passwords. It addresses crime and misconduct on the Internet, considers the development of infrastructures that may prevent breaches of security and law, and illustrates the vulnerability of networked computers to new virus attacks despite widespread deployment of antivirus software, firewalls, and other network security equipment.
Statistical Techniques For Network Security Modern Statistically Based Intrusion Detection And Protection
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Author : Wang, Yun
language : en
Publisher: IGI Global
Release Date : 2008-10-31
Statistical Techniques For Network Security Modern Statistically Based Intrusion Detection And Protection written by Wang, Yun and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-31 with Computers categories.
Provides statistical modeling and simulating approaches to address the needs for intrusion detection and protection. Covers topics such as network traffic data, anomaly intrusion detection, and prediction events.
Knowledge Discovery In Cyberspace
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Author : Kristijan Kuk
language : en
Publisher: Nova Science Publishers
Release Date : 2017
Knowledge Discovery In Cyberspace written by Kristijan Kuk and has been published by Nova Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Computers categories.
PhD Kristijan V. Kuk was born in Belgrade, Serbia, in 1977. He is received the B.S.E.E in 2007 from Technical Faculty in Zrenjanin, University of Novi Sad, Serbia. He finished PhD degree in informatics and computing science in 2013 at the Faculty of Electronic Engineering, University of Nis. In addition, he is the author of more than 40 scientific - technical papers presented at the reference international and national conferences. Eight papers are published in scientific journals from SCI/E lists, three paper is published as a chapter for Springer book. In 2014 he was elected to the position of assistant professor in Software Engineering / Computer forensics tool Development at the Academy of Criminalistic and Police Studies in Belgrade. He is a member of the CyberCrime Research Centre of the Police Academy. His research interests are artificial intelligence-based cyber security platforms, intelligent agents, data/text mining techniques in social networks, cybercrime prevention architectures and behavioral design patterns.This book is a practical handbook of research on dealing with mathematical methods in crime prevention for special agents, and discusses their capabilities and benefits that stem from integrating statistical analysis and predictive modeling. It consists of a current collection of research with contributions by authors from different nations in different disciplines. After reading this book, the reader should be able to understand the fundamental nature of cyberspace; understand the role of cyber-attacks; learn analytical techniques and the challenges of predicting events; learn how languages and culture are influenced by cyberspace; and learn techniques of the cyberspace public opinion detection and tracking process. Understanding cyberspace is the key to defending against digital attacks. This book takes a global perspective, examining the skills needed to collect and analyze event information and perform threat or target analysis duties in an effort to identify sources for signs of compromise, unauthorized activity and poor security practices. The ability to understand and react to events in cyberspace in a timely and appropriate manner will be key to future success. Most of the collections are research-based practices that have been done throughout the years. The authors hope that the presented work will be of great use to police investigators and cyber special agents interested in predictive analytics. Target Audience: Police investigator, Cyber special agent, Cyber incident response specialist, Cyber Security Engineer, Computer Forensic Analyst.
Modern Methods For Computer Security And Privacy
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Author : Lance J. Hoffman
language : en
Publisher: Prentice Hall
Release Date : 1977
Modern Methods For Computer Security And Privacy written by Lance J. Hoffman and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Computers categories.
Authentication; Authorization; Logging; Privacy transformation: traditional methods; Privavy transformation: computer-oriented software methods; Privacy transformation: hardware methods; System programs; Statistical data banks; Mathemtical models; Future research areas; Laws and pending legislation.
Data Analysis For Network Cyber Security
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Author : Niall Adams
language : en
Publisher: World Scientific
Release Date : 2014-02-28
Data Analysis For Network Cyber Security written by Niall 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 2014-02-28 with Computers 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. Contents:Inference for Graphs and Networks: Adapting Classical Tools to Modern Data (Benjamin P Olding and Patrick J Wolfe)Rapid Detection of Attacks in Computer Networks by Quickest Changepoint Detection Methods (Alexander G Tartakovsky)Statistical Detection of Intruders Within Computer Networks Using Scan Statistics (Joshua Neil, Curtis Storlie, Curtis Hash and Alex Brugh)Characterizing Dynamic Group Behavior in Social Networks for Cybernetics (Sumeet Dua and Pradeep Chowriappa)Several Approaches for Detecting Anomalies in Network Traffic Data (Céline Lévy-Leduc)Monitoring a Device in a Communication Network (Nicholas A Heard and Melissa Turcotte) Readership: Researchers and graduate students in the fields of network traffic data analysis and network cyber security. Key Features:This book is unique in being a treatise on the statistical analysis of network traffic dataThe contributors are leading researches in the field and will give authoritative descriptions of cutting edge methodologyThe book features material from diverse areas, and as such forms a unified view of network cyber securityKeywords:Network Data Analysis;Cyber Security;Change Detection;Anomaly Detection
Information Security Analytics
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Author : Mark Talabis
language : en
Publisher: Syngress
Release Date : 2014-11-25
Information Security Analytics written by Mark Talabis and has been published by Syngress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-25 with Computers categories.
Information Security Analytics gives you insights into the practice of analytics and, more importantly, how you can utilize analytic techniques to identify trends and outliers that may not be possible to identify using traditional security analysis techniques. Information Security Analytics dispels the myth that analytics within the information security domain is limited to just security incident and event management systems and basic network analysis. Analytic techniques can help you mine data and identify patterns and relationships in any form of security data. Using the techniques covered in this book, you will be able to gain security insights into unstructured big data of any type. The authors of Information Security Analytics bring a wealth of analytics experience to demonstrate practical, hands-on techniques through case studies and using freely-available tools that will allow you to find anomalies and outliers by combining disparate data sets. They also teach you everything you need to know about threat simulation techniques and how to use analytics as a powerful decision-making tool to assess security control and process requirements within your organization. Ultimately, you will learn how to use these simulation techniques to help predict and profile potential risks to your organization. Written by security practitioners, for security practitioners Real-world case studies and scenarios are provided for each analytics technique Learn about open-source analytics and statistical packages, tools, and applications Step-by-step guidance on how to use analytics tools and how they map to the techniques and scenarios provided Learn how to design and utilize simulations for "what-if" scenarios to simulate security events and processes Learn how to utilize big data techniques to assist in incident response and intrusion analysis
Data Driven Security
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Author : Jay Jacobs
language : en
Publisher: John Wiley & Sons
Release Date : 2014-01-24
Data Driven Security written by Jay Jacobs and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-24 with Computers categories.
Uncover hidden patterns of data and respond with countermeasures Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks. This careful guide explores two of the most powerful data analysis and visualization. You'll soon understand how to harness and wield data, from collection and storage to management and analysis as well as visualization and presentation. Using a hands-on approach with real-world examples, this book shows you how to gather feedback, measure the effectiveness of your security methods, and make better decisions. Everything in this book will have practical application for information security professionals. Helps IT and security professionals understand and use data, so they can thwart attacks and understand and visualize vulnerabilities in their networks Includes more than a dozen real-world examples and hands-on exercises that demonstrate how to analyze security data and intelligence and translate that information into visualizations that make plain how to prevent attacks Covers topics such as how to acquire and prepare security data, use simple statistical methods to detect malware, predict rogue behavior, correlate security events, and more Written by a team of well-known experts in the field of security and data analysis Lock down your networks, prevent hacks, and thwart malware by improving visibility into the environment, all through the power of data and Security Using Data Analysis, Visualization, and Dashboards.
Data Science For Cyber Security
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Author : Adams Niall M
language : en
Publisher: World Scientific
Release Date : 2018-09-25
Data Science For Cyber Security written by Adams Niall M and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-25 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.
Smart Log Data Analytics
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Author : Florian Skopik
language : en
Publisher: Springer Nature
Release Date : 2021-08-28
Smart Log Data Analytics written by Florian Skopik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-28 with Computers categories.
This book provides insights into smart ways of computer log data analysis, with the goal of spotting adversarial actions. It is organized into 3 major parts with a total of 8 chapters that include a detailed view on existing solutions, as well as novel techniques that go far beyond state of the art. The first part of this book motivates the entire topic and highlights major challenges, trends and design criteria for log data analysis approaches, and further surveys and compares the state of the art. The second part of this book introduces concepts that apply character-based, rather than token-based, approaches and thus work on a more fine-grained level. Furthermore, these solutions were designed for “online use”, not only forensic analysis, but also process new log lines as they arrive in an efficient single pass manner. An advanced method for time series analysis aims at detecting changes in the overall behavior profile of an observed system and spotting trends and periodicities through log analysis. The third part of this book introduces the design of the AMiner, which is an advanced open source component for log data anomaly mining. The AMiner comes with several detectors to spot new events, new parameters, new correlations, new values and unknown value combinations and can run as stand-alone solution or as sensor with connection to a SIEM solution. More advanced detectors help to determines the characteristics of variable parts of log lines, specifically the properties of numerical and categorical fields. Detailed examples throughout this book allow the reader to better understand and apply the introduced techniques with open source software. Step-by-step instructions help to get familiar with the concepts and to better comprehend their inner mechanisms. A log test data set is available as free download and enables the reader to get the system up and running in no time. This book is designed for researchers working in the field of cyber security, and specifically system monitoring, anomaly detection and intrusion detection. The content of this book will be particularly useful for advanced-level students studying computer science, computer technology, and information systems. Forward-thinking practitioners, who would benefit from becoming familiar with the advanced anomaly detection methods, will also be interested in this book.