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Computer Security - ESORICS 2014

Overview of attention for book
Cover of 'Computer Security - ESORICS 2014'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Detecting Malicious Domains via Graph Inference
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    Chapter 2 Empirically Measuring WHOIS Misuse
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    Chapter 3 EncDNS: A Lightweight Privacy-Preserving Name Resolution Service
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    Chapter 4 Ubic: Bridging the Gap between Digital Cryptography and the Physical World
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    Chapter 5 Updaticator: Updating Billions of Devices by an Efficient, Scalable and Secure Software Update Distribution over Untrusted Cache-enabled Networks
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    Chapter 6 Local Password Validation Using Self-Organizing Maps
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    Chapter 7 Verifiable Delegation of Computations with Storage-Verification Trade-off
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    Chapter 8 Identity-Based Encryption with Post-Challenge Auxiliary Inputs for Secure Cloud Applications and Sensor Networks
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    Chapter 9 Verifiable Computation over Large Database with Incremental Updates
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    Chapter 10 DroidMiner: Automated Mining and Characterization of Fine-grained Malicious Behaviors in Android Applications
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    Chapter 11 Detecting Targeted Smartphone Malware with Behavior-Triggering Stochastic Models
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    Chapter 12 TrustDump: Reliable Memory Acquisition on Smartphones
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    Chapter 13 A Framework to Secure Peripherals at Runtime
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    Chapter 14 StealthGuard: Proofs of Retrievability with Hidden Watchdogs
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    Chapter 15 An Efficient Cloud-Based Revocable Identity-Based Proxy Re-encryption Scheme for Public Clouds Data Sharing
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    Chapter 16 Verifiable Computation on Outsourced Encrypted Data
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    Chapter 17 Verifiable Computation with Reduced Informational Costs and Computational Costs
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    Chapter 18 Detangling Resource Management Functions from the TCB in Privacy-Preserving Virtualization
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    Chapter 19 Securely Outsourcing Exponentiations with Single Untrusted Program for Cloud Storage
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    Chapter 20 Quantitative Workflow Resiliency
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    Chapter 21 Who Is Touching My Cloud
  23. Altmetric Badge
    Chapter 22 Computer Security - ESORICS 2014
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    Chapter 23 Privacy-Preserving Complex Query Evaluation over Semantically Secure Encrypted Data
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    Chapter 24 Authorized Keyword Search on Encrypted Data
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    Chapter 25 Double-Authentication-Preventing Signatures
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    Chapter 26 Statistical Properties of Pseudo Random Sequences and Experiments with PHP and Debian OpenSSL
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    Chapter 27 Efficient Hidden Vector Encryption with Constant-Size Ciphertext
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    Chapter 28 Enabling Short Fragments for Uncoordinated Spread Spectrum Communication
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    Chapter 29 Fingerprinting Far Proximity from Radio Emissions
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    Chapter 30 A Cross-Layer Key Establishment Scheme in Wireless Mesh Networks
Attention for Chapter 11: Detecting Targeted Smartphone Malware with Behavior-Triggering Stochastic Models
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

1 tweeter


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Readers on

53 Mendeley
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Chapter title
Detecting Targeted Smartphone Malware with Behavior-Triggering Stochastic Models
Chapter number 11
Book title
Computer Security - ESORICS 2014
Published in
Lecture notes in computer science, September 2014
DOI 10.1007/978-3-319-11203-9_11
Book ISBNs
978-3-31-911202-2, 978-3-31-911203-9

Guillermo Suarez-Tangil, Mauro Conti, Juan E. Tapiador, Pedro Peris-Lopez


Mirosław Kutyłowski, Jaideep Vaidya

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 2%
Italy 1 2%
Czechia 1 2%
Romania 1 2%
Japan 1 2%
Unknown 48 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 26%
Researcher 9 17%
Student > Master 7 13%
Lecturer 3 6%
Student > Postgraduate 3 6%
Other 10 19%
Unknown 7 13%
Readers by discipline Count As %
Computer Science 41 77%
Engineering 3 6%
Chemistry 1 2%
Social Sciences 1 2%
Unknown 7 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 September 2014.
All research outputs
of 22,763,032 outputs
Outputs from Lecture notes in computer science
of 8,125 outputs
Outputs of similar age
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Outputs of similar age from Lecture notes in computer science
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Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,125 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 238,759 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 224 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.