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Recent Advances in Intrusion Detection

Overview of attention for book
Cover of 'Recent Advances in Intrusion Detection'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Panacea: Automating Attack Classification for Anomaly-Based Network Intrusion Detection Systems
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    Chapter 2 Recent Advances in Intrusion Detection
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    Chapter 3 Adaptive Anomaly Detection via Self-calibration and Dynamic Updating
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    Chapter 4 Runtime Monitoring and Dynamic Reconfiguration for Intrusion Detection Systems
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    Chapter 5 Malware Behavioral Detection by Attribute-Automata Using Abstraction from Platform and Language
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    Chapter 6 Automatic Generation of String Signatures for Malware Detection
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    Chapter 7 PE-Miner: Mining Structural Information to Detect Malicious Executables in Realtime
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    Chapter 8 Automatically Adapting a Trained Anomaly Detector to Software Patches
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    Chapter 9 Towards Generating High Coverage Vulnerability-Based Signatures with Protocol-Level Constraint-Guided Exploration
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    Chapter 10 Automated Behavioral Fingerprinting
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    Chapter 11 SMS-Watchdog: Profiling Social Behaviors of SMS Users for Anomaly Detection
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    Chapter 12 Keystroke-Based User Identification on Smart Phones
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    Chapter 13 VirusMeter: Preventing Your Cellphone from Spies
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    Chapter 14 Regular Expression Matching on Graphics Hardware for Intrusion Detection
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    Chapter 15 Multi-byte Regular Expression Matching with Speculation
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    Chapter 16 Toward Revealing Kernel Malware Behavior in Virtual Execution Environments
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    Chapter 17 Exploiting Temporal Persistence to Detect Covert Botnet Channels
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    Chapter 18 Recent Advances in Intrusion Detection
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    Chapter 19 Automatic Software Instrumentation for the Detection of Non-control-data Attacks
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    Chapter 20 BLADE: Slashing the Invisible Channel of Drive-by Download Malware
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    Chapter 21 CERN Investigation of Network Behaviour and Anomaly Detection
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    Chapter 22 Blare Tools: A Policy-Based Intrusion Detection System Automatically Set by the Security Policy
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    Chapter 23 Detection, Alert and Response to Malicious Behavior in Mobile Devices: Knowledge-Based Approach
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    Chapter 24 Autonomic Intrusion Detection System
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    Chapter 25 ALICE@home: Distributed Framework for Detecting Malicious Sites
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    Chapter 26 Packet Space Analysis of Intrusion Detection Signatures
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    Chapter 27 Traffic Behaviour Characterization Using NetMate
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    Chapter 28 On the Inefficient Use of Entropy for Anomaly Detection
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    Chapter 29 Browser-Based Intrusion Prevention System
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    Chapter 30 Using Formal Grammar and Genetic Operators to Evolve Malware
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    Chapter 31 Method for Detecting Unknown Malicious Executables
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    Chapter 32 Brave New World: Pervasive Insecurity of Embedded Network Devices
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    Chapter 33 DAEDALUS: Novel Application of Large-Scale Darknet Monitoring for Practical Protection of Live Networks
Attention for Chapter 33: DAEDALUS: Novel Application of Large-Scale Darknet Monitoring for Practical Protection of Live Networks
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Chapter title
DAEDALUS: Novel Application of Large-Scale Darknet Monitoring for Practical Protection of Live Networks
Chapter number 33
Book title
Recent Advances in Intrusion Detection
Published in
Lecture notes in computer science, January 2009
DOI 10.1007/978-3-642-04342-0_33
Book ISBNs
978-3-64-204341-3, 978-3-64-204342-0
Authors

Daisuke Inoue, Mio Suzuki, Masashi Eto, Katsunari Yoshioka, Koji Nakao

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 13%
Canada 1 13%
Unknown 6 75%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 63%
Professor 1 13%
Student > Bachelor 1 13%
Other 1 13%
Readers by discipline Count As %
Computer Science 6 75%
Social Sciences 1 13%
Engineering 1 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 June 2012.
All research outputs
#13,666,300
of 22,668,244 outputs
Outputs from Lecture notes in computer science
#4,122
of 8,122 outputs
Outputs of similar age
#138,216
of 168,739 outputs
Outputs of similar age from Lecture notes in computer science
#98
of 177 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,122 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 168,739 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 177 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.