Concepedia

Cross-platform Anomaly Detection

Cross-Platform Anomaly Detection is an analytical framework that identifies statistically significant deviations from expected behavioral patterns by integrating and analyzing data across multiple distinct digital platforms, distinguishing itself through its capacity to detect anomalies that are consistent or emergent in cross-platform user or system behavior rather than isolated platform-specific irregularities.

8

Publications

242

Citations

18

Authors

9

Institutions

Publications per year

2017–2026

3

Parents

Publications

8

Automated cross-platform inconsistency detection for mobile apps

Mattia Fazzini, Alessandro Orso · 2017 · 64 citations

, , +17

PerfAugur: Robust diagnostics for performance anomalies in cloud services

Sudip Roy, Arnd Christian König, Igor Dvorkin et al. · 2015 · 51 citations

, , +17

Diagnosing mobile applications in the wild

Sharad Agarwal, Ratul Mahajan, Alice X. Zheng et al. · 2010 · 39 citations

, , +13

ISMA: Intelligent Sensing Model for Anomalies Detection in Cross Platform OSNs With a Case Study on IoT

Vishal Sharma, Ilsun You, Ravinder Kumar · IEEE Access · 2017 · 32 citations · Full text

, , +13

PlatPal: Detecting Malicious Documents with Platform Diversity

Meng Xu, Taesoo Kim · USENIX Security Symposium · 2017 · 22 citations

, , +12

1–5 of 8

Authors

18

  1. RM
    Ratul Mahajan

    Microsoft (United States), United States

    2 publications · 52 citations

    2

    h-index

  2. VB
    Victor Bahl

    Microsoft Research (United Kingdom), United Kingdom

    2 publications · 52 citations

    2

    h-index

  3. AX
    Alice X. Zheng

    University of California, Berkeley, United States

    2 publications · 52 citations

    2

    h-index

  4. SA
    Sharad Agarwal

    Microsoft (United States), United States

    2 publications · 52 citations

    2

    h-index

  5. ID
    Igor Dvorkin

    Microsoft (United States), United States

    1 publications · 51 citations

    1

    h-index

1–5 of 18

Institutions

9

  1. Georgia Institute of Technology

    Atlanta, United States

    2 h-index

    4 publications

    172 citations

  2. University of London

    London, United Kingdom

    1 h-index

    2 publications

    20 citations

  3. Microsoft Research (United Kingdom)

    Cambridge, United Kingdom

    1 h-index

    4 publications

    156 citations

  4. Thapar Institute of Engineering & Technology

    Patiāla, India

    1 h-index

    1 publications

    32 citations

  5. Microsoft (United States)

    Redmond, United States

    1 h-index

    3 publications

    153 citations

  6. BT Group (United Kingdom)

    London, United Kingdom

    1 h-index

    2 publications

    22 citations

  7. Google (United States)

    Mountain View, United States

    1 h-index

    1 publications

    51 citations

  8. Soonchunhyang University

    Seoul, South Korea

    1 h-index

    2 publications

    64 citations

1–8 of 9

Venues

  1. IEEE Access

    1 publications · 32 citations

    1

    h-index

  2. Australasian Journal of Paramedicine

    1 publications · 11 citations

    1

    h-index

  3. USENIX Security Symposium

    Conference · 1 publications · 22 citations

    1

    h-index

  4. JMIR Mental Health

    JMH · 1 publications · 10 citations

  5. IEEE Transactions on Services Computing

    1 publications · 11 citations

1–5