Rating:

(7 reviews)
Author: Greg Conti
ISBN : 1593271433
New from $111.61
Format: PDF
Download for free books Free Security Data Visualization: Graphical Techniques for Network Analysis for everyone book 4shared, mediafire, hotfile, and mirror link
Information overload. If you're responsible for maintaining your network's security, you're living with it every day. Logs, alerts, packet captures, and even binary files take time and effort to analyze using text-based tools - and once your analysis is complete, the picture isn't always clear, or timely. And time is of the essence.
Information visualization is a branch of computer science concerned with modeling complex data using interactive images. When applied to network data, these interactive graphics allow administrators to quickly analyze, understand, and respond to emerging threats and vulnerabilities.
Security Data Visualization is a well-researched and richly illustrated introduction to the field. Greg Conti, creator of the network and security visualization tool RUMINT, shows you how to graph and display network data using a variety of tools so that you can understand complex datasets at a glance. And once you've seen what a network attack looks like, you'll have a better understanding of its low-level behavior - like how vulnerabilities are exploited and how worms and viruses propagate.
You'll learn how to use visualization techniques to:
Audit your network for vulnerabilities using free visualization tools, such as AfterGlow and RUMINT See the underlying structure of a text file and explore the faulty security behavior of a Microsoft Word document Gain insight into large amounts of low-level packet data Identify and dissect port scans, Nessus vulnerability assessments, and Metasploit attacks View the global spread of the Sony rootkit, analyze antivirus effectiveness, and monitor widespread network attacks View and analyze firewall and intrusion detection system (IDS) logs
Security visualization systems display data in ways that are illuminating to both professionals and amateurs. Once you've finished reading this book, you'll understand how visualization can make your response to security threats faster and more effective
Books with free ebook downloads available Free Security Data Visualization: Graphical Techniques for Network Analysis [Paperback]
- Paperback: 272 pages
- Publisher: No Starch Press (October 1, 2007)
- Language: English
- ISBN-10: 1593271433
- ISBN-13: 978-1593271435
- Product Dimensions: 6.9 x 9.1 inches
- Shipping Weight: 1.7 pounds
Free Security Data Visualization: Graphical Techniques for Network Analysis
Security Data Visualization (SDV) is a great book. It's perfect for readers familiar with security who are looking to add new weapons to their defensive arsenals. Even offensive players will find something to like in SDV. The book is essentially an introduction to the field, but it is well-written, organized, and clear. I recommend all security analysts read SDV.
I give five star reviews to books that meet certain criteria. First, the book should change the way I look at a problem, or properly introduce me to thinking about a problem for which I have little or no frame of reference. Although I have been a security analyst for ten years, I have little visualization experience. Author Greg Conti spent just the right amount of time explaining the field, describing key terms (preattentive processing, occlusion, brushing) and displays (star plots, small multiples, TreeMaps). I loved the author's mention of Ben Shneiderman's visualization mantra: "overview first, zoom and filter, details on demand" (p 14).
Second, a five star book should have few or no technical errors. SDV was as sound as they come, at least as far as the security and networking information goes. I can't comment on the author's synthesis of the visualization community. I also liked the case studies in Chs 3, 4, and 5. I liked reading the visualization methodology introduced in the chapter on analyzing firewall logs (Ch 7).
Third, a five star book will make the material actionable. I finished SDV thinking I could try at least some of what I read on my own network. Ch 10 talked about how to build your own visualization tool. I would have liked additional detail on using some of the tools in the book, so perhaps a future edition will expand on that point.
If you want to get into security visualization this is the book for you. This book gives you everything you need to get started in the field. You may be asking yourself why you should care or want to be interested in Security Visualization. In Chapter 1 the author sums it up nicely. "Visualizations make abstract data more coherent...In many cases, visualizations seek to display large amounts of information in a compact but useful way."
Before we get into the review, I'll disclose that I know the author and he gave me a review copy. I don't think this makes it easier for the author to get a good review, in fact, I think it makes it harder because I expect a lot from the author. Its his fault I'm into computer and information security and I have taken courses that he taught, so he had high expectations to meet.
The first three chapters, An Overview of Information Visualization, The Beauty of Binary File Visualization, and Port Scan Visualization give you all the background you need to get started and introduce you to the author's visualization tool, RUMINT. It was interesting to see the difference between nmap and unicornscan and paves the way to create signatures for all types of port scanners based on their default behavior. Chapter 4, Vulnerability Assessment and Exploitation, walks us through analyzing a dataset with an attack using the Metasploit Framework, very interesting and shows us that even with metasploit's built-in IDS evasion, in the end it must create sockets and connections and those can be seen with visualization tools (with the proper tweaking and analysis). I read the sample chapter available (CH 5, One Night on My ISP) before I read the whole book, and it was certainly easier to follow after reading the previous chapters.
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