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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".

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Abstract excerpt: "This report describes the design and implementation of a real-time intrusion detection expert system (IDES) designed and developed by SRI International IDES is an independent system that monitors the activities of different types of subjects, such as users and remote hosts, of a target system to detect security violations by both insiders and outsiders as they occur IDES adaptively learns subjects' behavior patterns over time and detects behavior that deviates from these patterns IDES also has an expert system component that can be used to encode information about nown system vulnerabilities and intrusion scenarios" Significance: Although this report dates from the five-year point of SRI's intrusion detection research, it is often quoted by other researchers It remains readily available at SRI's Web site and is the earliest such document listed there IDES evolved into the EMERALD project, discussed later in this section IDES combined a statistical user profile approach with a rule-based expert system to characterize intrusions IDES also operated in a real-time manner, unlike earlier works with parsed audit data in batch mode Title: "Towards Detecting Intrusions in a Networked Environment".

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Trial version, http://wwwprocesstextcom/abcchmhtml. Encode Denso QR .This chapter revolved around odd packets We started with an investigation of Truncated Tcp Options alerts generated by Snort and found them to be caused by normal file transfer traffic We then scrutinized SCAN FIN alerts and realized a user playing with a Gnutella client brought about these suspicious packets We concluded the chapter by investigating malicious ICMP traffic, which led us on another wild goose chase around our small demonstration network With the conclusion of Part IV, our discussion of ways to help people who do NSM has come to a close In Part V we concentrate on some of the tools and tactics intruders wield against us The next chapter discusses sample tools intruders may use to attack NSM operations The tools are presented as examples of the orts of capabilities some intruders possess By seeing these applications in action, analysts will be better prepared to recognize them when interpreting network traffic. Generation In VB.NET Using Barcode printer for .Related: .NET WinForms Code 39 Generator , VB.NET Codabar Generating , Print QR Code ASP.NET

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Now, although it's possible to use persistent cookies very easily, as shown above, there's actually a more general way to manage sessions: with a special servlet API for session tracking The Servlet Session-Tracking API The Java servlet session-tracking API provides a transparent way for the server-side developer to easily manage session data It's closely related to URL rewriting and particularly to cookies Generally, the basic idea of this API is that it provides a layer of indirection in session management Instead of worrying about exactly how session data is managed (by cookies, by URL rewriting, etc), the server-side engineer simply uses an API that can query or store named attributes Like cookies, each attribute is essentially a name/value pair: The name is the name of the attribute; the value is associated with the attribute's value As I mentioned earlier, the beauty is in the indirection this API provides Using some method (for example, URL-rewriting or ookies), it ensures that all requests from a given client session are associated with the same unique ID Thus, the server can easily associate incoming requests with existing server-side state without having to worry about the details of how this association is accomplished The following snippet of servlet code uses the session-tracking API to add a new attribute to the current session:.

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