Data Driven Security

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Data-Driven Security

Author : Jay Jacobs,Bob Rudis
Publisher : John Wiley & Sons
Page : 354 pages
File Size : 54,6 Mb
Release : 2014-02-24
Category : Computers
ISBN : 9781118793725

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Data-Driven Security by Jay Jacobs,Bob Rudis Pdf

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-Driven Security

Author : Jay Jacobs,Bob Rudis
Publisher : John Wiley & Sons
Page : 352 pages
File Size : 52,8 Mb
Release : 2014-01-24
Category : Computers
ISBN : 9781118793824

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Data-Driven Security by Jay Jacobs,Bob Rudis Pdf

Uncover hidden patterns of data and respond withcountermeasures Security professionals need all the tools at their disposal toincrease their visibility in order to prevent security breaches andattacks. This careful guide explores two of the most powerful data analysis and visualization. You'll soon understand how toharness and wield data, from collection and storage to managementand analysis as well as visualization and presentation. Using ahands-on approach with real-world examples, this book shows you howto gather feedback, measure the effectiveness of your securitymethods, and make better decisions. Everything in this book will have practical application forinformation security professionals. Helps IT and security professionals understand and use data, sothey can thwart attacks and understand and visualizevulnerabilities in their networks Includes more than a dozen real-world examples and hands-onexercises that demonstrate how to analyze security data andintelligence and translate that information into visualizationsthat 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 roguebehavior, correlate security events, and more Written by a team of well-known experts in the field ofsecurity and data analysis Lock down your networks, prevent hacks, and thwart malware byimproving visibility into the environment, all through the power ofdata and Security Using Data Analysis, Visualization, andDashboards.

Advances in Malware and Data-Driven Network Security

Author : Gupta, Brij B.
Publisher : IGI Global
Page : 304 pages
File Size : 44,8 Mb
Release : 2021-11-12
Category : Computers
ISBN : 9781799877912

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Advances in Malware and Data-Driven Network Security by Gupta, Brij B. Pdf

Every day approximately three-hundred thousand to four-hundred thousand new malware are registered, many of them being adware and variants of previously known malware. Anti-virus companies and researchers cannot deal with such a deluge of malware – to analyze and build patches. The only way to scale the efforts is to build algorithms to enable machines to analyze malware and classify and cluster them to such a level of granularity that it will enable humans (or machines) to gain critical insights about them and build solutions that are specific enough to detect and thwart existing malware and generic-enough to thwart future variants. Advances in Malware and Data-Driven Network Security comprehensively covers data-driven malware security with an emphasis on using statistical, machine learning, and AI as well as the current trends in ML/statistical approaches to detecting, clustering, and classification of cyber-threats. Providing information on advances in malware and data-driven network security as well as future research directions, it is ideal for graduate students, academicians, faculty members, scientists, software developers, security analysts, computer engineers, programmers, IT specialists, and researchers who are seeking to learn and carry out research in the area of malware and data-driven network security.

A Data-Driven Computer Security Defense

Author : Roger Grimes
Publisher : Unknown
Page : 236 pages
File Size : 50,8 Mb
Release : 2017-09-26
Category : Electronic
ISBN : 1549836536

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A Data-Driven Computer Security Defense by Roger Grimes Pdf

Most companies are using inefficient computer security defenses which allow hackers to break in at will. It's so bad that most companies have to assume that it is already or can easily be breached. It doesn't have to be this way! A data-driven computer security defense will help any entity better focus on the right threats and defenses. It will create an environment which will help you recognize emerging threats sooner, communicate those threats faster, and defend far more efficiently. What is taught in this book...better aligning defenses to the very threats they are supposed to defend against, will seem commonsense after you read them, but for reasons explained in the book, aren't applied by most companies. The lessons learned come from a 30-year computer security veteran who consulted with hundreds of companies, large and small, who figured out what did and didn't work when defending against hackers and malware. Roger A. Grimes is the author of nine previous books and over 1000 national magazine articles on computer security. Reading A Data-Driven Computer Security Defense will change the way you look at and use computer security for now on.

Practical Threat Intelligence and Data-Driven Threat Hunting

Author : Valentina Costa-Gazcón
Publisher : Packt Publishing Ltd
Page : 398 pages
File Size : 41,9 Mb
Release : 2021-02-12
Category : Computers
ISBN : 9781838551636

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Practical Threat Intelligence and Data-Driven Threat Hunting by Valentina Costa-Gazcón Pdf

Get to grips with cyber threat intelligence and data-driven threat hunting while exploring expert tips and techniques Key Features Set up an environment to centralize all data in an Elasticsearch, Logstash, and Kibana (ELK) server that enables threat hunting Carry out atomic hunts to start the threat hunting process and understand the environment Perform advanced hunting using MITRE ATT&CK Evals emulations and Mordor datasets Book DescriptionThreat hunting (TH) provides cybersecurity analysts and enterprises with the opportunity to proactively defend themselves by getting ahead of threats before they can cause major damage to their business. This book is not only an introduction for those who don’t know much about the cyber threat intelligence (CTI) and TH world, but also a guide for those with more advanced knowledge of other cybersecurity fields who are looking to implement a TH program from scratch. You will start by exploring what threat intelligence is and how it can be used to detect and prevent cyber threats. As you progress, you’ll learn how to collect data, along with understanding it by developing data models. The book will also show you how to set up an environment for TH using open source tools. Later, you will focus on how to plan a hunt with practical examples, before going on to explore the MITRE ATT&CK framework. By the end of this book, you’ll have the skills you need to be able to carry out effective hunts in your own environment.What you will learn Understand what CTI is, its key concepts, and how it is useful for preventing threats and protecting your organization Explore the different stages of the TH process Model the data collected and understand how to document the findings Simulate threat actor activity in a lab environment Use the information collected to detect breaches and validate the results of your queries Use documentation and strategies to communicate processes to senior management and the wider business Who this book is for If you are looking to start out in the cyber intelligence and threat hunting domains and want to know more about how to implement a threat hunting division with open-source tools, then this cyber threat intelligence book is for you.

Web Security, Privacy & Commerce

Author : Simson Garfinkel,Gene Spafford
Publisher : "O'Reilly Media, Inc."
Page : 786 pages
File Size : 54,9 Mb
Release : 2002
Category : Computers
ISBN : 9780596000455

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Web Security, Privacy & Commerce by Simson Garfinkel,Gene Spafford Pdf

"Web Security, Privacy & Commerce" cuts through the hype and the front page stories. It tells readers what the real risks are and explains how to minimize them. Whether a casual (but concerned) Web surfer or a system administrator responsible for the security of a critical Web server, this book will tells users what they need to know.

Cyber Privacy

Author : April Falcon Doss
Publisher : BenBella Books
Page : 335 pages
File Size : 52,5 Mb
Release : 2020-10-20
Category : History
ISBN : 9781950665532

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Cyber Privacy by April Falcon Doss Pdf

"Chilling, eye-opening, and timely, Cyber Privacy makes a strong case for the urgent need to reform the laws and policies that protect our personal data. If your reaction to that statement is to shrug your shoulders, think again. As April Falcon Doss expertly explains, data tracking is a real problem that affects every single one of us on a daily basis." —General Michael V. Hayden, USAF, Ret., former Director of CIA and NSA and former Principal Deputy Director of National Intelligence You're being tracked. Amazon, Google, Facebook, governments. No matter who we are or where we go, someone is collecting our data: to profile us, target us, assess us; to predict our behavior and analyze our attitudes; to influence the things we do and buy—even to impact our vote. If this makes you uneasy, it should. We live in an era of unprecedented data aggregation, and it's never been more difficult to navigate the trade-offs between individual privacy, personal convenience, national security, and corporate profits. Technology is evolving quickly, while laws and policies are changing slowly. You shouldn't have to be a privacy expert to understand what happens to your data. April Falcon Doss, a privacy expert and former NSA and Senate lawyer, has seen this imbalance in action. She wants to empower individuals and see policy catch up. In Cyber Privacy, Doss demystifies the digital footprints we leave in our daily lives and reveals how our data is being used—sometimes against us—by the private sector, the government, and even our employers and schools. She explains the trends in data science, technology, and the law that impact our everyday privacy. She tackles big questions: how data aggregation undermines personal autonomy, how to measure what privacy is worth, and how society can benefit from big data while managing its risks and being clear-eyed about its cost. It's high time to rethink notions of privacy and what, if anything, limits the power of those who are constantly watching, listening, and learning about us. This book is for readers who want answers to three questions: Who has your data? Why should you care? And most important, what can you do about it?

Network Security Through Data Analysis

Author : Michael S Collins
Publisher : "O'Reilly Media, Inc."
Page : 570 pages
File Size : 50,8 Mb
Release : 2014-02-10
Category : Computers
ISBN : 9781449357863

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Network Security Through Data Analysis by Michael S Collins Pdf

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

Security Analytics

Author : Mehak Khurana,Shilpa Mahajan
Publisher : CRC Press
Page : 286 pages
File Size : 42,8 Mb
Release : 2022-06-24
Category : Computers
ISBN : 9781000597561

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Security Analytics by Mehak Khurana,Shilpa Mahajan Pdf

The book gives a comprehensive overview of security issues in cyber physical systems by examining and analyzing the vulnerabilities. It also brings current understanding of common web vulnerabilities and its analysis while maintaining awareness and knowledge of contemporary standards, practices, procedures and methods of Open Web Application Security Project. This book is a medium to funnel creative energy and develop new skills of hacking and analysis of security and expedites the learning of the basics of investigating crimes, including intrusion from the outside and damaging practices from the inside, how criminals apply across devices, networks, and the internet at large and analysis of security data. Features Helps to develop an understanding of how to acquire, prepare, visualize security data. Unfolds the unventured sides of the cyber security analytics and helps spread awareness of the new technological boons. Focuses on the analysis of latest development, challenges, ways for detection and mitigation of attacks, advanced technologies, and methodologies in this area. Designs analytical models to help detect malicious behaviour. The book provides a complete view of data analytics to the readers which include cyber security issues, analysis, threats, vulnerabilities, novel ideas, analysis of latest techniques and technology, mitigation of threats and attacks along with demonstration of practical applications, and is suitable for a wide-ranging audience from graduates to professionals/practitioners and researchers.

Security Data Visualization

Author : Greg Conti
Publisher : No Starch Press
Page : 274 pages
File Size : 47,9 Mb
Release : 2007
Category : Computers
ISBN : 9781593271435

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Security Data Visualization by Greg Conti Pdf

An introduction to a range of cyber security issues explains how to utilize graphical approaches to displaying and understanding computer security data, such as network traffic, server logs, and executable files, offering guidelines for identifying a network attack, how to assess a system for vulnerabilities with Afterglow and RUMINT visualization software, and how to protect a system from additional attacks. Original. (Intermediate)

Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis

Author : Sujit Rokka Chhetri,Mohammad Abdullah Al Faruque
Publisher : Springer Nature
Page : 240 pages
File Size : 43,9 Mb
Release : 2020-02-08
Category : Technology & Engineering
ISBN : 9783030379629

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Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis by Sujit Rokka Chhetri,Mohammad Abdullah Al Faruque Pdf

This book provides a new perspective on modeling cyber-physical systems (CPS), using a data-driven approach. The authors cover the use of state-of-the-art machine learning and artificial intelligence algorithms for modeling various aspect of the CPS. This book provides insight on how a data-driven modeling approach can be utilized to take advantage of the relation between the cyber and the physical domain of the CPS to aid the first-principle approach in capturing the stochastic phenomena affecting the CPS. The authors provide practical use cases of the data-driven modeling approach for securing the CPS, presenting novel attack models, building and maintaining the digital twin of the physical system. The book also presents novel, data-driven algorithms to handle non- Euclidean data. In summary, this book presents a novel perspective for modeling the CPS.

Critical Infrastructure Protection XIII

Author : Jason Staggs,Sujeet Shenoi
Publisher : Springer Nature
Page : 328 pages
File Size : 53,9 Mb
Release : 2019-11-18
Category : Computers
ISBN : 9783030346478

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Critical Infrastructure Protection XIII by Jason Staggs,Sujeet Shenoi Pdf

The information infrastructure – comprising computers, embedded devices, networks and software systems – is vital to operations in every sector: chemicals, commercial facilities, communications, critical manufacturing, dams, defense industrial base, emergency services, energy, financial services, food and agriculture, government facilities, healthcare and public health, information technology, nuclear reactors, materials and waste, transportation systems, and water and wastewater systems. Global business and industry, governments, indeed society itself, cannot function if major components of the critical information infrastructure are degraded, disabled or destroyed. Critical Infrastructure Protection XIII describes original research results and innovative applications in the interdisciplinary field of critical infrastructure protection. Also, it highlights the importance of weaving science, technology and policy in crafting sophisticated, yet practical, solutions that will help secure information, computer and network assets in the various critical infrastructure sectors. Areas of coverage include: Themes and Issues; Infrastructure Protection; Vehicle Infrastructure Security; Telecommunications Infrastructure Security; Cyber-Physical Systems Security; and Industrial Control Systems Security. This book is the thirteenth volume in the annual series produced by the International Federation for Information Processing (IFIP) Working Group 11.10 on Critical Infrastructure Protection, an international community of scientists, engineers, practitioners and policy makers dedicated to advancing research, development and implementation efforts focused on infrastructure protection. The book contains a selection of sixteen edited papers from the Thirteenth Annual IFIP WG 11.10 International Conference on Critical Infrastructure Protection, held at SRI International, Arlington, Virginia, USA in the spring of 2019. Critical Infrastructure Protection XIII is an important resource for researchers, faculty members and graduate students, as well as for policy makers, practitioners and other individuals with interests in homeland security.

Android Malware Detection using Machine Learning

Author : ElMouatez Billah Karbab,Mourad Debbabi,Abdelouahid Derhab,Djedjiga Mouheb
Publisher : Springer Nature
Page : 212 pages
File Size : 49,5 Mb
Release : 2021-07-10
Category : Computers
ISBN : 9783030746643

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Android Malware Detection using Machine Learning by ElMouatez Billah Karbab,Mourad Debbabi,Abdelouahid Derhab,Djedjiga Mouheb Pdf

The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) the portability over different platforms and architectures. First, the authors propose an approximate fingerprinting technique for android packaging that captures the underlying static structure of the android applications in the context of bulk and offline detection at the app-market level. This book proposes a malware clustering framework to perform malware clustering by building and partitioning the similarity network of malicious applications on top of this fingerprinting technique. Second, the authors propose an approximate fingerprinting technique that leverages dynamic analysis and natural language processing techniques to generate Android malware behavior reports. Based on this fingerprinting technique, the authors propose a portable malware detection framework employing machine learning classification. Third, the authors design an automatic framework to produce intelligence about the underlying malicious cyber-infrastructures of Android malware. The authors then leverage graph analysis techniques to generate relevant intelligence to identify the threat effects of malicious Internet activity associated with android malware. The authors elaborate on an effective android malware detection system, in the online detection context at the mobile device level. It is suitable for deployment on mobile devices, using machine learning classification on method call sequences. Also, it is resilient to common code obfuscation techniques and adaptive to operating systems and malware change overtime, using natural language processing and deep learning techniques. Researchers working in mobile and network security, machine learning and pattern recognition will find this book useful as a reference. Advanced-level students studying computer science within these topic areas will purchase this book as well.

Protecting Your Privacy in a Data-Driven World

Author : Claire McKay Bowen
Publisher : CRC Press
Page : 102 pages
File Size : 41,5 Mb
Release : 2021-11-21
Category : Mathematics
ISBN : 9781000481822

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Protecting Your Privacy in a Data-Driven World by Claire McKay Bowen Pdf

At what point does the sacrifice to our personal information outweigh the public good? If public policymakers had access to our personal and confidential data, they could make more evidence-based, data-informed decisions that could accelerate economic recovery and improve COVID-19 vaccine distribution. However, access to personal data comes at a steep privacy cost for contributors, especially underrepresented groups. Protecting Your Privacy in a Data-Driven World is a practical, nontechnical guide that explains the importance of balancing these competing needs and calls for careful consideration of how data are collected and disseminated by our government and the private sector. Not addressing these concerns can harm the same communities policymakers are trying to protect through data privacy and confidentiality legislation.

Utilizing Big Data Paradigms for Business Intelligence

Author : Jérôme Darmont,Sabine Loudcher
Publisher : Business Science Reference
Page : 0 pages
File Size : 50,8 Mb
Release : 2019
Category : Business & Economics
ISBN : 152254965X

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Utilizing Big Data Paradigms for Business Intelligence by Jérôme Darmont,Sabine Loudcher Pdf

Because efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations, data analysis is an important part of modern business administration. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Utilizing Big Data Paradigms for Business Intelligence is a pivotal reference source that provides vital research on how to address the challenges of data extraction in business intelligence using the five "Vs" of big data: velocity, volume, value, variety, and veracity. This book is ideally designed for business analysts, investors, corporate managers, entrepreneurs, and researchers in the fields of computer science, data science, and business intelligence.