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| Author | : Dorothy Elizabeth Robling Denning |
| Publisher | : Addison Wesley Publishing Company |
| Total Pages | : 422 |
| Release | : 1982 |
| Genre | : History |
| ISBN | : |
Encryption algorithms. Cryptographic technique. Access controls. Information controls. Inference controls.
| Author | : Jay Jacobs |
| Publisher | : John Wiley & Sons |
| Total Pages | : 354 |
| Release | : 2014-02-24 |
| Genre | : Computers |
| ISBN | : 1118793722 |
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.
| Author | : Gregory B. White |
| Publisher | : Sams Publishing |
| Total Pages | : 508 |
| Release | : 2001 |
| Genre | : Computers |
| ISBN | : 9780672321504 |
"Data and Voice Security" will enable readers to protect data networks from the most common threats. Learn what security vulnerabilities currently exist in data networks, and become aware of the threats the telephone network poses to the data network. Use updated information to protect the data network from the telephone network
| Author | : David Salomon |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 461 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 038721707X |
Covering classical cryptography, modern cryptography, and steganography, this volume details how data can be kept secure and private. Each topic is presented and explained by describing various methods, techniques, and algorithms. Moreover, there are numerous helpful examples to reinforce the reader's understanding and expertise with these techniques and methodologies. Features & Benefits: * Incorporates both data encryption and data hiding * Supplies a wealth of exercises and solutions to help readers readily understand the material * Presents information in an accessible, nonmathematical style * Concentrates on specific methodologies that readers can choose from and pursue, for their data-security needs and goals * Describes new topics, such as the advanced encryption standard (Rijndael), quantum cryptography, and elliptic-curve cryptography. The book, with its accessible style, is an essential companion for all security practitioners and professionals who need to understand and effectively use both information hiding and encryption to protect digital data and communications. It is also suitable for self-study in the areas of programming, software engineering, and security.
| Author | : Brendan Quinn |
| Publisher | : Kluwer Law International B.V. |
| Total Pages | : 463 |
| Release | : 2021-09-02 |
| Genre | : Law |
| ISBN | : 9403529016 |
The complexities of implementing the General Data Protection Regulation (GDPR) continue to grow as it progresses through new and ever-changing technologies, business models, codes of conduct, and decisions of the supervisory authorities, and the courts. This eminently practical guide to implementing the GDPR – written in an original, problem-solving style by a highly experienced data protection expert with equal knowledge of both law and technology – provides a step-by-step project management approach to building a GDPR-compliant data protection system, assessing, and documenting the risks and then implementing these changes through processes at the operational level. With detailed attention to case law (Member State, ECJ, and ECHR), especially where affecting high-risk areas that have attracted scrutiny, the guidance proceeds systematically through such topics and issues as the following: required documentation, policies, and procedures; risk assessment tools and analysis frameworks; children’s data; employee and health data; international transfers post-Schrems II; data subject rights including the right of access; data retention and erasure; tracking and surveillance; and effects of technologies such as artificial intelligence, biometrics, and machine learning. With its practical examples derived from the author’s experience in building GDPR-compliant software, as well as its analysis of case law and enforcement priorities, this incomparable guide enables company data protection officers and compliance staff to advise on key issues with full awareness of the legal and reputational risks and how to mitigate them. It is also sure to be of immeasurable value to concerned regulators and policymakers at all government levels. “…it's going to be the go to resource for practitioners.” Tom Gilligan, Data Protection Consultant, September 2021 "I purchased this book recently and I’m very glad I did. It’s the textbook I have been waiting for. As someone relatively new to data protection, I was finding it very difficult to find books on the practical side of data protection. This book is very clearly laid out with practical examples and case law given for each topic, which is immensely helpful. I would recommend it to any data protection practitioners." Jennifer Breslin, LLM CIPP/E, AIPP Member
| Author | : Michael S Collins |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 416 |
| Release | : 2014-02-10 |
| Genre | : Computers |
| ISBN | : 1449357865 |
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
| Author | : Shibakali Gupta |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 223 |
| Release | : 2019-10-08 |
| Genre | : Computers |
| ISBN | : 3110605961 |
After a short description of the key concepts of big data the book explores on the secrecy and security threats posed especially by cloud based data storage. It delivers conceptual frameworks and models along with case studies of recent technology.
| Author | : Nishant Bhajaria |
| Publisher | : Simon and Schuster |
| Total Pages | : 632 |
| Release | : 2022-03-22 |
| Genre | : Computers |
| ISBN | : 1638357188 |
Engineer privacy into your systems with these hands-on techniques for data governance, legal compliance, and surviving security audits. In Data Privacy you will learn how to: Classify data based on privacy risk Build technical tools to catalog and discover data in your systems Share data with technical privacy controls to measure reidentification risk Implement technical privacy architectures to delete data Set up technical capabilities for data export to meet legal requirements like Data Subject Asset Requests (DSAR) Establish a technical privacy review process to help accelerate the legal Privacy Impact Assessment (PIA) Design a Consent Management Platform (CMP) to capture user consent Implement security tooling to help optimize privacy Build a holistic program that will get support and funding from the C-Level and board Data Privacy teaches you to design, develop, and measure the effectiveness of privacy programs. You’ll learn from author Nishant Bhajaria, an industry-renowned expert who has overseen privacy at Google, Netflix, and Uber. The terminology and legal requirements of privacy are all explained in clear, jargon-free language. The book’s constant awareness of business requirements will help you balance trade-offs, and ensure your user’s privacy can be improved without spiraling time and resource costs. About the technology Data privacy is essential for any business. Data breaches, vague policies, and poor communication all erode a user’s trust in your applications. You may also face substantial legal consequences for failing to protect user data. Fortunately, there are clear practices and guidelines to keep your data secure and your users happy. About the book Data Privacy: A runbook for engineers teaches you how to navigate the trade-off s between strict data security and real world business needs. In this practical book, you’ll learn how to design and implement privacy programs that are easy to scale and automate. There’s no bureaucratic process—just workable solutions and smart repurposing of existing security tools to help set and achieve your privacy goals. What's inside Classify data based on privacy risk Set up capabilities for data export that meet legal requirements Establish a review process to accelerate privacy impact assessment Design a consent management platform to capture user consent About the reader For engineers and business leaders looking to deliver better privacy. About the author Nishant Bhajaria leads the Technical Privacy and Strategy teams for Uber. His previous roles include head of privacy engineering at Netflix, and data security and privacy at Google. Table of Contents PART 1 PRIVACY, DATA, AND YOUR BUSINESS 1 Privacy engineering: Why it’s needed, how to scale it 2 Understanding data and privacy PART 2 A PROACTIVE PRIVACY PROGRAM: DATA GOVERNANCE 3 Data classification 4 Data inventory 5 Data sharing PART 3 BUILDING TOOLS AND PROCESSES 6 The technical privacy review 7 Data deletion 8 Exporting user data: Data Subject Access Requests PART 4 SECURITY, SCALING, AND STAFFING 9 Building a consent management platform 10 Closing security vulnerabilities 11 Scaling, hiring, and considering regulations
| Author | : Marie De Fréminville |
| Publisher | : John Wiley & Sons |
| Total Pages | : 228 |
| Release | : 2020-06-03 |
| Genre | : Computers |
| ISBN | : 1786305194 |
Cyber security is a key issue affecting the confidence of Internet users and the sustainability of businesses. It is also a national issue with regards to economic development and resilience. As a concern, cyber risks are not only in the hands of IT security managers, but of everyone, and non-executive directors and managing directors may be held to account in relation to shareholders, customers, suppliers, employees, banks and public authorities. The implementation of a cybersecurity system, including processes, devices and training, is essential to protect a company against theft of strategic and personal data, sabotage and fraud. Cybersecurity and Decision Makers presents a comprehensive overview of cybercrime and best practice to confidently adapt to the digital world; covering areas such as risk mapping, compliance with the General Data Protection Regulation, cyber culture, ethics and crisis management. It is intended for anyone concerned about the protection of their data, as well as decision makers in any organization.
| Author | : Jonathan LeBlanc |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 174 |
| Release | : 2016-06-06 |
| Genre | : Computers |
| ISBN | : 1491936967 |
Developers, designers, engineers, and creators can no longer afford to pass responsibility for identity and data security onto others. Web developers who don’t understand how to obscure data in transmission, for instance, can open security flaws on a site without realizing it. With this practical guide, you’ll learn how and why everyone working on a system needs to ensure that users and data are protected. Authors Jonathan LeBlanc and Tim Messerschmidt provide a deep dive into the concepts, technology, and programming methodologies necessary to build a secure interface for data and identity—without compromising usability. You’ll learn how to plug holes in existing systems, protect against viable attack vectors, and work in environments that sometimes are naturally insecure. Understand the state of web and application security today Design security password encryption, and combat password attack vectors Create digital fingerprints to identify users through browser, device, and paired device detection Build secure data transmission systems through OAuth and OpenID Connect Use alternate methods of identification for a second factor of authentication Harden your web applications against attack Create a secure data transmission system using SSL/TLS, and synchronous and asynchronous cryptography
