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Research in Attacks, Intrusions, and Defenses

Overview of attention for book
Cover of 'Research in Attacks, Intrusions, and Defenses'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Proteus: Detecting Android Emulators from Instruction-Level Profiles
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    Chapter 2 BabelView: Evaluating the Impact of Code Injection Attacks in Mobile Webviews
  4. Altmetric Badge
    Chapter 3 Defeating Software Mitigations Against Rowhammer: A Surgical Precision Hammer
  5. Altmetric Badge
    Chapter 4 Reading Between the Lines: Content-Agnostic Detection of Spear-Phishing Emails
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    Chapter 5 Backdoors: Definition, Deniability and Detection
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    Chapter 6 RWGuard: A Real-Time Detection System Against Cryptographic Ransomware
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    Chapter 7 DNS Unchained: Amplified Application-Layer DoS Attacks Against DNS Authoritatives
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    Chapter 8 Control Plane Reflection Attacks in SDNs: New Attacks and Countermeasures
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    Chapter 9 Proof-of-Blackouts? How Proof-of-Work Cryptocurrencies Could Affect Power Grids
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    Chapter 10 Characterizing Eve: Analysing Cybercrime Actors in a Large Underground Forum
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    Chapter 11 SybilBlind: Detecting Fake Users in Online Social Networks Without Manual Labels
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    Chapter 12 GuidedPass: Helping Users to Create Strong and Memorable Passwords
  14. Altmetric Badge
    Chapter 13 Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks
  15. Altmetric Badge
    Chapter 14 Dictionary Extraction and Detection of Algorithmically Generated Domain Names in Passive DNS Traffic
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    Chapter 15 OTTer: A Scalable High-Resolution Encrypted Traffic Identification Engine
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    Chapter 16 Hardware Assisted Randomization of Data
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    Chapter 17 MicroStache: A Lightweight Execution Context for In-Process Safe Region Isolation
  19. Altmetric Badge
    Chapter 18 CryptMe: Data Leakage Prevention for Unmodified Programs on ARM Devices
  20. Altmetric Badge
    Chapter 19 PartiSan: Fast and Flexible Sanitization via Run-Time Partitioning
  21. Altmetric Badge
    Chapter 20 $$\tau $$ CFI: Type-Assisted Control Flow Integrity for x86-64 Binaries
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    Chapter 21 Trusted Execution Path for Protecting Java Applications Against Deserialization of Untrusted Data
  23. Altmetric Badge
    Chapter 22 Error-Sensor: Mining Information from HTTP Error Traffic for Malware Intelligence
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    Chapter 23 Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers
  25. Altmetric Badge
    Chapter 24 Next Generation P2P Botnets: Monitoring Under Adverse Conditions
  26. Altmetric Badge
    Chapter 25 Malicious IoT Implants: Tampering with Serial Communication over the Internet
  27. Altmetric Badge
    Chapter 26 Before Toasters Rise Up: A View into the Emerging IoT Threat Landscape
  28. Altmetric Badge
    Chapter 27 Statistical Similarity of Critical Infrastructure Network Traffic Based on Nearest Neighbor Distances
  29. Altmetric Badge
    Chapter 28 PostScript Undead: Pwning the Web with a 35 Years Old Language
  30. Altmetric Badge
    Chapter 29 Identifying Key Leakage of Bitcoin Users
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    Chapter 30 Furnace: Self-service Tenant VMI for the Cloud
  32. Altmetric Badge
    Chapter 31 ShadowMonitor: An Effective In-VM Monitoring Framework with Hardware-Enforced Isolation
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    Chapter 32 KASR: A Reliable and Practical Approach to Attack Surface Reduction of Commodity OS Kernels
Attention for Chapter 32: KASR: A Reliable and Practical Approach to Attack Surface Reduction of Commodity OS Kernels
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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16 X users

Citations

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Readers on

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18 Mendeley
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Chapter title
KASR: A Reliable and Practical Approach to Attack Surface Reduction of Commodity OS Kernels
Chapter number 32
Book title
Research in Attacks, Intrusions, and Defenses
Published in
arXiv, September 2018
DOI 10.1007/978-3-030-00470-5_32
Book ISBNs
978-3-03-000469-9, 978-3-03-000470-5
Authors

Zhi Zhang, Yueqiang Cheng, Surya Nepal, Dongxi Liu, Qingni Shen, Fethi Rabhi, Zhang, Zhi, Cheng, Yueqiang, Nepal, Surya, Liu, Dongxi, Shen, Qingni, Rabhi, Fethi

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Student > Master 4 22%
Professor 2 11%
Researcher 2 11%
Student > Doctoral Student 1 6%
Other 0 0%
Unknown 3 17%
Readers by discipline Count As %
Computer Science 13 72%
Mathematics 1 6%
Engineering 1 6%
Unknown 3 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 12 September 2018.
All research outputs
#3,365,471
of 24,187,394 outputs
Outputs from arXiv
#62,222
of 1,026,620 outputs
Outputs of similar age
#66,731
of 339,770 outputs
Outputs of similar age from arXiv
#1,538
of 24,291 outputs
Altmetric has tracked 24,187,394 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,026,620 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 93% of its peers.
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 339,770 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 24,291 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.