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where p is the exponential transform parameter and is the cosine of the particle s direction relative to the penetration direction (y here) For p > 0, the cross-section is reduced for particles moving forward, resulting in longer jumps between collisions Conversely, particles moving backward will have smaller jumps between collisions Table 101 shows results from MCNP (with 5 million samples) for the average weight penetrating the concrete cylinder (F1 tally in Figure 101) (To indicate when no estimate is available, MCNP displays 0 ) Some things to note: 1 With no transform, or with p = 01, none of the particles penetrate, resulting in a zero mean 2 The transform seems to be doing its job preferentially sampling particles deep into the shield. Bar Code Generator In C#.NET Using Barcode creator for .Related: Barcode Generating RDLC Library, Barcode Generation C# , Barcode Generation Crystal Library rdlc gs1 128 Packages matching GS1-128 - NuGet Gallery
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Expanding on the idea of cooperating tools brings us to Sguil, an open source suite for performing NSM Sguil is a cross-platform application designed "by analysts, for analysts," to integrate alert, session, and full content data streams in a single graphical interface Access to each sort of data is immediate and interconnected, allowing fast retrieval of pertinent information 9 presented Bro and Prelude as two NIDSs that generate alert data Sguil currently uses Snort as its alert engine Because Snort is so well covered in other books, here I concentrate on the mechanics of Sguil It is important to realize that Sguil is not another interface for Snort alerts, like ACID or other products Sguil brings Snort's alert data, plus session and full content data, into a single suite This chapter hows how Sguil provides analysts with incident indicators and a large amount of background data Sguil relies on alert data from Snort for the initial investigative tip-off but expands the investigative options by providing session and full content information. 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Full bookmarks generation support; Barcode drawing support .Related: Abstract excerpt: "Many Cisco routers and switches support NetFlow services which provides a detailed source of data about network traffic The Office of Information Technology Enterprise Networking Services group (OIT/ENS) at The Ohio State University (OSU) has written a suite of tools alled flow-tools to record, filter, print and analyze flow logs derived from exports of NetFlow accounting records We use the flow logs for general network planning, performance monitoring, usage based billing, and many security related tasks including incident response and intrusion detection This paper describes what the flow logs contain, the tools we have written to store and process these logs, and discusses how we have used the logs and the tools to perform network management and security functions at OSU We also discuss some related projects and our future plans at the end of the paper" Significance: This paper cites a lot of earlier work on Cisco NetFlow records, but I think it coherently addresses many of the key issues It describes the Flow-tools package with examples and usage suggestions Highlights: Like the AT&T sensor architecture paper, this document also addresses privacy It acknowledges that content data is sometimes unnecessary when sessions are recorded: "The flow logs do not contain a record of what is usually considered the contents of the packets This means that although we could determine that a given host accessed a given web server at a certain time, the flow logs would not contain a record of the URL requested or the response received However, if you can correlate the activity recorded in the flow logs against the data in other logs (such as authentication logs), you might be able to match accounts (and so, to a large degree, people) to IP addresses, IP addresses to their associated network activity, and then match that network activity to specific details such as URLs requested, email addresses for correspondents, newsgroups read and so on Consequently, the act of recording and archiving NetFlow records raises a number of privacy concerns Our rationale is that the logs are invaluable for security, performance and network monitoring and usage based billing We could aggregate the data and use that for some of these functions, which would solve most of the privacy concerns However, having a long (2 to 3 month) window of past logs is invaluable for incident response, and we expect that it may prove invaluable for bill dispute resolution as well We think that the level of detail present in the flow logs represents an acceptable balance between utility and privacy for our environment On the positive side, we have found that we have had to do content based sniffing (eg, with tcpdump) far less often, since we have a ready source of information about network activity". rdlc ean 128 VB.NET GS1 - 128 (UCC/ EAN 128 ) Generator SDK - Generate ...
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