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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 called 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 uggestions 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".

The effects of adaptive base station antenna arrays on CDMA capacity have been studied [6, 7] The results show that signi cant capacity gains can be achieved with quite simple techniques One conventional way to improve cellular system capacity, used in 3G systems, is cell splitting, ie sub-dividing the coverage area of one base station to be covered by several base stations (smaller cells) [15] Another simple and widely applied technique to reduce interference spatially in 3G is to divide cells into sectors, eg three 120 sectors These sectors are covered by one or several directional antenna elements The effects of sectorization to spectrum ef ciency are studied in Chan [16] The conclusion in Chan [16] is that sectorization reduces co-channel interference and improves the signal-to-noise ratio of the desired link at the given cluster size However, at the same time the trunking ef ciency is decreased [17].

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However, because the number of possible values of the random variable X is ncountably in nite, X has a distinctly different distribution from the discrete random variables studied previously. The range of X includes all values in an interval of real numbers; that is, the range of X can be thought of as a continuum. A number of continuous distributions frequently arise in applications. These distributions are described, and example computations of probabilities, means, and variances are provided in the remaining sections of this chapter. Control qr codes size with .net to encode qr code . code 2d barcode data, size, image with .net barcode sdk. .Related: C# Data Matrix Generator , C# ITF-14 Generator , EAN-8 Generation .NET WinForms

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Owing to the improved link quality, a tighter frequency reuse satis es the performance criterion in comparison to the omnicellular case Therefore, the net effect of sectorization is positive at least for large cells and high traf c densities By using M-element antenna arrays at the base station the spatial ltering effect can be further improved The multiple beam adaptive array would not reduce the network trunking ef ciency, unlike sectorization and cell splitting [18] These adaptive or smartRelated: C# EAN-13 Generation , Creating Data Matrix ASPNET , Word EAN-8 Generator.

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PART I in .NET Encode Code 128 in .NET PART I. . Using Barcode recognizer for VS .NET Control to read . Bonus points for quick, perfect performance were allotted for ore items on the WAIS than the W-B I, increasing the range of possible subtest scores and enhancing the role played by speed of performance on the obtained score. However, Wechsler (1981) reversed this trend for the WAIS-R and deemphasized speed greatly by not allowing bonus points for any of the Picture Arrangement items. Test publishers (Psychological Corporation, 1997) honored Wechsler s wishes by continuing to avoid bonus points on WAIS-III Picture Arrangement. Block Design Kohs (1923) developed the Block Design test, which used blocks and designs that were red, white, blue, and yellow. His test was included in numerous other tests of intelligence and neuropsychological functioning before Wechsler adapted it for the W-B I. Wechsler (1958) shortened the test substantially, used designs having only two colors (although the W-B I blocks included all four colors, unlike the red and white WAIS and WAIS-III blocks), and altered the patterns that the examinee had to copy. Block Design has been shown to correlate well with various criterion measures, to be a good measure of g, and to be quite amenable to qualitative analysis (Wechsler, 1958). It intrigued Wechsler that those who do very well on this subtest are not necessarily the ones who treat the pattern as a gestalt, but are more often the individuals who are able to break up the pattern into its component parts. Wechsler (1958) believed that observation of individuals while they solve the problems, such.Related: Code 39 Generator .NET WinForms , .NET WinForms QR Code Generator , EAN 128 Generating VB.NET

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Analysis is the heart of NSM, which was developed to give analysts the tools and tactics they need to validate and escalate events This chapter is the first of three case studies designed to help analysts learn how to investigate events using NSM principles One of the best ways to become a proficient NSM analyst is to handle traffic Network activity can be classified as normal, suspicious, or malicious Learning to differentiate among the three classes of traffic requires exposure to examples of each his chapter only hints at some of the traffic an analyst will find in the wild, but it's a start Analysts practice NSM to detect and scope intrusions Traffic caused by many intruders appears much different from run-of-the-mill network activity Why even discuss normal traffic By having a baseline for normalcy, analysts can judge traffic to be suspicious or perhaps malicious This chapter does not show normal traffic for its own sake, however If you want to know how normal HTTP or SMB/CIFS appears, refer to the books on TCP/IP mentioned in the Preface When we do discuss normal traffic, it will be for the sake of comparison with suspicious and malicious activity This case study describes various services that use ports 53 UDP and TCP I describe normal, suspicious, and malicious examples Some of them are the result of Sguil detections, while others are examples of traffic that occurs normally While researching this chapter I was amazed at the wide variety of traffic found on ports 53 UDP and TCP Because DNS is so fundamental to the health of the modern Internet, it's important to understand what does and does not belong on those ports.

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