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Title: Spatio-Temporal Network Anomaly Detection by Assessing Deviations of Empirical Measur
Page Link: Spatio-Temporal Network Anomaly Detection by Assessing Deviations of Empirical Measur -
Posted By: raghuram.keesara
Created at: Wednesday 29th of September 2010 05:03:23 PM
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Title: Image Watermarking Using Spread Spectrum Technique in Log-2-Spatio Domain
Page Link: Image Watermarking Using Spread Spectrum Technique in Log-2-Spatio Domain -
Posted By: seminar class
Created at: Thursday 05th of May 2011 02:25:33 PM
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Abstract
In this paper, we propose to embed the watermark
information in the log-2-spatio domain by means of
spread spectrum technique. In log-2-spatio domain,
the variance of the information is reduced
significantly. This improves the efficiency and
robustness of spread spectrum technique. Low
intensity and mid-band regions are selected to embed
the information in order to guarantee an invisible
watermark as well as the robustness to JPEG
compression. Simulation results show that the
embedded information still survive up to ....etc

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Title: A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets
Page Link: A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets -
Posted By: project topics
Created at: Monday 02nd of May 2011 12:55:28 PM
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A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets-IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 20, NO. 4,-java

Abstract—
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Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns identifies significant event-type sequences. Such spatio-temporal sequential patterns are crucial to the investigation of spatial and temporal evolutions of phenomena in many application domains. R ....etc

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Title: Spatio-Temporal Network Anomaly Detection by Assessing Deviations of Empirical Measur
Page Link: Spatio-Temporal Network Anomaly Detection by Assessing Deviations of Empirical Measur -
Posted By: computer science topics
Created at: Thursday 01st of July 2010 07:24:19 PM
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Spatio-Temporal Network Anomaly Detection by Assessing Deviations of Empirical Measures

Abstract:

We introduce Internet traffic anomaly detection mechanism based on large deviations results for empirical measures. Using past traffic traces we characterize network traffic during various time-of-day intervals, assuming that it is anomaly-free. Throughout, we compare the two approaches presenting their advantages and disadvantages to identify and classify temporal network anomalies. We also demonstrate how our framework can be used to ....etc

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Title: data flow diagram of fraud detection using anomaly detection techniques
Page Link: data flow diagram of fraud detection using anomaly detection techniques -
Posted By:
Created at: Sunday 27th of March 2016 05:03:59 PM
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Title: matlab source code for anomaly detection
Page Link: matlab source code for anomaly detection -
Posted By:
Created at: Thursday 22nd of November 2012 05:14:18 AM
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Dear Sir,
I am a student and to test an anormalidetection with Matlab Source. I want to request ur source code for my research.
With best wishes,
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Title: Spatio-Temporal Network Anomaly Detection by Assessing Deviations of Empirical Measur
Page Link: Spatio-Temporal Network Anomaly Detection by Assessing Deviations of Empirical Measur -
Posted By: computer science topics
Created at: Wednesday 09th of June 2010 02:46:42 PM
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this project is to introduce an Internet traffic anomaly detection mechanism based on large deviations results for empirical measures. Using past traffic traces we characterize network traffic during various time-of-day intervals, assuming that it is anomaly-free.
this project is to present two different approaches to characterize traffic:
(i) a model-free approach based on the method of types and Sanov's theorem, and
(ii) a model-based approach modeling traffic using a Markov modulated process.
Using these characterizations as a referenc ....etc

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Title: An Image-Based Approach to Video Copy Detection With Spatio-Temporal Post-Filtering
Page Link: An Image-Based Approach to Video Copy Detection With Spatio-Temporal Post-Filtering -
Posted By: seminar addict
Created at: Thursday 26th of January 2012 01:54:23 PM
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An Image-Based Approach to Video Copy Detection With Spatio-Temporal Post-Filtering


INTRODUCTION


Common distortions are
1. scaling
2. compression
3. cropping
4. camcording


SPATIO-TEMPORAL VERIFICATION

Spatio-Temporal Transformation

Temporal Grouping

Spatial Verification(next)

Score Aggregation Strategy

conclution
Our video copy detection system outperforms other submitted results on all transformations. This is due ....etc

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Title: Design and Implementation of an Anomaly Detection Scheme in Sachet Intrusion
Page Link: Design and Implementation of an Anomaly Detection Scheme in Sachet Intrusion -
Posted By: computer science crazy
Created at: Wednesday 10th of August 2011 04:27:18 PM
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Design and Implementation of an Anomaly Detection Scheme in Sachet Intrusion Detection System
Due to the widespread proliferation of computer networks, attacks on computer systems are increasing day by day. Preventive measures can stop these attacks to some extent, but they are not very effective due to various reasons. This leads to the development of intrusion detection as a second line of defense. Intrusion detection systems try to identify attacks or intrusions by analyzing network data (network-based systems) or operating system an ....etc

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Title: Anomaly Detection
Page Link: Anomaly Detection -
Posted By: seminar projects crazy
Created at: Saturday 13th of June 2009 06:49:19 PM
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Network intrusion detection systems often rely on matching patterns that are gleaned from known attacks. While this method is reliable and rarely produces false alarms, it has the obvious disadvantage that it cannot detect novel attacks. An alternative approach is to learn a model of normal traffic and report deviations, but these anomaly models are typically restricted to modeling IP addresses and ports, and do not include the application payload where many attacks occur. We describe a novel approach to anomaly detection.

We extract a set o ....etc

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