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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 nd 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".



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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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OF THE UEC / UEP CODES in NET Make qr-codes generate, create 2d matrix barcode none for net projects This This subsection deals with an application of UEP coding scheme to rror tolerance in lossless compressed text data [FUJI03] Data compression is popularly applied to computer systems and communication systems in order to save storage area and communication bandwidth [BELL90] Lossless compression, which can obtain the same decompressed data as the source data, is suitable to the text data Ziv-Lempel coding is a typical class of lossless compression based on LZ77 coding [ZIV77] and LZW coding [WELC84], which is a modi ed version of LZ78 coding [ZIV78] This class of coding uses an adaptive dictionary that encodes future segments of the source data via maximum-length copying from a dictionary containing the recent past output.

The figures for this example show a simple Java framework for pipelines and an example application The framework consists of a base class for pipeline stages, PipelineStage, shown in Fig 427, and a base class for pipelines, LinearPipeline, shown in Fig 428 Applications provide a subclass of PipelineStage for each desired stage, implementing its three abstract methods to indicate what the stage should do on the initial step, the computation steps, and the final step, and a subclass of LinearPipeline that implements its abstract methods to create an array containing the desired pipeline stages and the desired queues connecting the stages For the queue connecting the stages, we use LinkedBlockingQueue, an implementation of the BlockingQueue interface These classes are found in the javautil concurrent package These classes se generics to specify the type of objects the queue can hold For example, new LinkedBlockingQueue<String> creates a BlockingQueue implemented by an underlying linked list that can hold Strings The operations of interest are put, to add an object to the queue, and take, to remove an object, take blocks if the queue is empty The class CountDownLatch, also found in the javautilconcurrent package, is a simple barrier that allows the program to print a message when it has terminated Barriers in general, and CountDownLatch in particular, are discussed in the Implementation Mechanisms design space The remaining figures show code for an example application, a pipeline to sort integers Fig 429 is the required subclass of LinearPipeline, and Fig 430 is the required subclass of PipelineStage Additional pipeline stages to generate or read the input and to handle the output are not shown.

This subsection shows the in uence of errors that occur in the text data compressed by Ziv-Lempel coding From theoretical analysis and computer simulation we know that errors in the error-sensitive part of compressed data give more serious damage to the decompressed data than errors in the other parts In LZW coding, the part of the data used to build the dictionary is sensitive to error, while in the LZ77 coding, the matched length part is sensitive to error Therefore the UEP scheme, which protects the error-sensitive part of the compressed data more strongly than the other parts, is applied to the compressed data Computer simulation tells us that the UEP scheme can recover from the errors in compressed data more effectively than a method using the existing burst error correcting Fire codes applied uniformly to the compressed data 1.

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How to Easily Create a PDF Document in ASP.NET Core Web API
18 Jun 2018 ... NET Core Web API project in which we need to generate a PDF report. ..... background of a PDF document or if we should load images or what ...

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how to convert pdf files to image - Stack Overflow
NET you can take a look at Ghostscript. NET library (managed wrapper around the Ghostscript library). To produce image from the PDF by using ...












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