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Network Security Through Data Analysis

Author: Michael Collins
Publisher: "O'Reilly Media, Inc."
ISBN: 1449357881
Size: 33.50 MB
Format: PDF, ePub
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Traditional intrusion detection and logfile analysis are no longer enough to protect today’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’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’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’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

Essential Cybersecurity Science

Author: Josiah Dykstra
Publisher: "O'Reilly Media, Inc."
ISBN: 1491921072
Size: 20.41 MB
Format: PDF, ePub
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If you’re involved in cybersecurity as a software developer, forensic investigator, or network administrator, this practical guide shows you how to apply the scientific method when assessing techniques for protecting your information systems. You’ll learn how to conduct scientific experiments on everyday tools and procedures, whether you’re evaluating corporate security systems, testing your own security product, or looking for bugs in a mobile game. Once author Josiah Dykstra gets you up to speed on the scientific method, he helps you focus on standalone, domain-specific topics, such as cryptography, malware analysis, and system security engineering. The latter chapters include practical case studies that demonstrate how to use available tools to conduct domain-specific scientific experiments. Learn the steps necessary to conduct scientific experiments in cybersecurity Explore fuzzing to test how your software handles various inputs Measure the performance of the Snort intrusion detection system Locate malicious “needles in a haystack” in your network and IT environment Evaluate cryptography design and application in IoT products Conduct an experiment to identify relationships between similar malware binaries Understand system-level security requirements for enterprise networks and web services

Emerging Methods In Predictive Analytics Risk Management And Decision Making

Author: Hsu, William H.
Publisher: IGI Global
ISBN: 1466650648
Size: 14.97 MB
Format: PDF, ePub, Mobi
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Decision making tools are essential for the successful outcome of any organization. Recent advances in predictive analytics have aided in identifying particular points of leverage where critical decisions can be made. Emerging Methods in Predictive Analytics: Risk Management and Decision Making provides an interdisciplinary approach to predictive analytics; bringing together the fields of business, statistics, and information technology for effective decision making. Managers, business professionals, and decision makers in diverse fields will find the applications and cases presented in this text essential in providing new avenues for risk assessment, management, and predicting the future outcomes of their decisions.

Artificial Intelligence Concepts Methodologies Tools And Applications

Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 152251760X
Size: 30.92 MB
Format: PDF
View: 7095
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Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.

Vizsec 2007

Author: John R. Goodall
Publisher: Springer Science & Business Media
ISBN: 3540782435
Size: 20.47 MB
Format: PDF, Kindle
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Networked computers are ubiquitous, and are subject to attack, misuse, and abuse. One method to counteracting this cyber threat is to provide security analysts with better tools to discover patterns, detect anomalies, identify correlations, and communicate their findings. Visualization for computer security (VizSec) researchers and developers are doing just that. VizSec is about putting robust information visualization tools into the hands of human analysts to take advantage of the power of the human perceptual and cognitive processes in solving computer security problems. This volume collects the papers presented at the 4th International Workshop on Computer Security - VizSec 2007.

Using Bayesian Networks For Enterprise Network Security Analysis

Author: Xiaoyan Sun
Size: 27.40 MB
Format: PDF, Mobi
View: 4615
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Achieving complete and accurate cyber situation awareness (SA) is crucial for security analysts to make right decisions. A large number of algorithms and tools have been developed to aid the cyber security analysis, such as vulnerability analysis, intrusion detection, network and system monitoring and recovery, and so on. Although these algorithms and tools have eased the security analysts work to some extent, their knowledge bases are usually isolated from each other. Its a very challenging task for security analysts to combine these knowledge bases and generate a wholistic understanding towards the enterprise networks real situation.To address the above problem, this paper takes the following approach. 1) Based on existing theories of situation awareness, a Situation Knowledge Reference Model (SKRM) is constructed to integrate data, information, algorithms/tools, and human knowledge into a whole stack. SKRM serves as an umbrella model that enables e ective analysis of complex cyber-security problems. 2) The Bayesian Network is employed to incorporate and fuse information from di erent knowledge bases. Due to the overwhelming amount of alerts and the high false rates, digging out real facts is di cult. In addition, security analysis is usually bound with a number of uncertainties. Hence, Bayesian Networks is an e ective approach to leverage the collected evidence and eliminate uncertainties.With SKRM as the guidance, two independent security problems are identified: the stealthy bridge problem in cloud and the zero-day attack path problem. This paper will demonstrate how these problems can be analyzed and addressed by constructing proper Bayesian Networks on top of di erent layers from SKRM.First, the stealthy bridge problem. Enterprise network islands in cloud are expected to be absolutely isolated from each other except for some public services. However, current virtualization mechanism cannot ensure such perfect isolation. Some stealthy bridges may be created to break the isolation due to virtual machine image sharing and virtual machine co-residency. This paper proposes to build a cloud-level attack graph to capture the potential attacks enabled by stealthy bridges and reveal possible hidden attack paths that are previously missed by individual enterprise network attack graphs. Based on the cloud-level attack graph, a cross-layer Bayesian network is constructed to infer the existence of stealthy bridges given supporting evidence from other intrusion steps.Second, the zero-day attack path problem. A zero-day attack path is a multi- step attack path that includes one or more zero-day exploits. This paper proposes a probabilistic approach to identify the zero-day attack paths. An object instance graph is first established to capture the intrusion propagation. A Bayesian network is then built to compute the probabilities of object instances being infected. Connected through dependency relations, the instances with high infection probabilities form a path, which is viewed as the zero-day attack path.

Understanding Big Data Analytics For Enterprise Class Hadoop And Streaming Data

Author: IBM Paul Zikopoulos
Publisher: McGraw Hill Professional
ISBN: 0071790535
Size: 38.99 MB
Format: PDF
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Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer

To Koritsi Me To Tatouaz

Author: Stieg Larsson
ISBN: 9789604535200
Size: 35.83 MB
Format: PDF, Docs
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Forty years ago, Harriet Vanger disappeared off the secluded island owned and inhabited by the powerful Vanger family. There was no corpse, no witnesses, no evidence. But her uncle, Henrik, is convinced that she was murdered by someone in her own family, the deeply dysfunctional Vanger clan. Journalist Mikael is hired to investigate.

Cyber Security

Author: United States. Congress. Senate. Committee on Homeland Security and Governmental Affairs. Subcommittee on Federal Financial Management, Government Information, and International Security
Size: 38.85 MB
Format: PDF, Docs
View: 190
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