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  1. Proceedings of the 2017 ACM Workshop on Exploratory Search and Interactive Data Analytics (ESIDA '17)
  2. Visual Exploration of Network Hostile Behavior
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From Search to Discovery with Visual Exploration Tools
A Survey of Definitions and Models of Exploratory Search
Personalization in the Context of Relevance-Based Visualization
Visual Exploration of Network Hostile Behavior
Visual Exploration of Large Scatter Plot Matrices by Pattern Recommendation based on Eye Tracking
Music Exploration by Impression Based Interaction
HiveRel: Towards Focused Knowledge Acquisition
EulerianGrapher: Text Visualisation at the Level of Character N--grams based on Eulerian Graphs
VIQS: Visual Interactive Exploration of Query Semantics
Exploring Scientific Literature Search through Topic Models
Visual Exploration and Analysis of Recommender Histories: A Web-Based Approach Using WebGL
Active Learning with Visualization for Text Data
Exploring and Summarizing Document Colletions with Multiple Coordinated Views

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Visual Exploration of Network Hostile Behavior

Content Provider ACM Digital Library
Author Guerra, Jorge Catania, Carlos Adrián Veas, Eduardo
Abstract This paper presents a graphical interface to identify hostile behavior in network logs. The problem of identifying and labeling hostile behavior is well known in the network security community. There is a lack of labeled datasets, which make it difficult to deploy automated methods or to test the performance of manual ones. We describe the process of searching and identifying hostile behavior with a graphical tool derived from an open source Intrusion Prevention System, which graphically encodes features of network connections from a log-file. A design study with two network security experts illustrates the workflow of searching for patterns descriptive of unwanted behavior and labeling occurrences therewith.
Starting Page 51
Ending Page 54
Page Count 4
File Format PDF
ISBN 9781450349031
DOI 10.1145/3038462.3038466
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2017-03-13
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Visual analytics Intrusion detection Network security
Content Type Text
Resource Type Article
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