John V. Monaco [Vinnie Monaco]

About John V. Monaco [Vinnie Monaco]

John V. Monaco [Vinnie Monaco], With an exceptional h-index of 20 and a recent h-index of 17 (since 2020), a distinguished researcher at Naval Postgraduate School, specializes in the field of security, privacy, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

GPT-4 technical report

Device Fingerprinting with Peripheral Timestamps

TypeNet: Deep learning keystroke biometrics

User Identification in Dynamic Web Traffic via Deep Temporal Features

Temporal Behavior in Network Traffic as a Basis for Insider Threat Detection

Machine Learning Techniques for Identifying Anomalous Network Traffic

TypeNet: Scaling up keystroke biometrics

Keystroke biometrics in response to fake news propagation in a global pandemic

John V. Monaco [Vinnie Monaco] Information

University

Position

Assistant Professor

Citations(all)

1349

Citations(since 2020)

872

Cited By

817

hIndex(all)

20

hIndex(since 2020)

17

i10Index(all)

31

i10Index(since 2020)

23

Email

University Profile Page

Google Scholar

John V. Monaco [Vinnie Monaco] Skills & Research Interests

security

privacy

machine learning

Top articles of John V. Monaco [Vinnie Monaco]

Device Fingerprinting with Peripheral Timestamps

2022/5

TypeNet: Deep learning keystroke biometrics

IEEE Transactions on Biometrics, Behavior, and Identity Science

2022/1

User Identification in Dynamic Web Traffic via Deep Temporal Features

2021/5/27

Temporal Behavior in Network Traffic as a Basis for Insider Threat Detection

2020/12/1

Machine Learning Techniques for Identifying Anomalous Network Traffic

2020/10/14

Bug or feature? Covert impairments to human computer interaction

2020/4/21

General purpose computation with spiking neural networks: Programming, design principles, and patterns

2020/3/17

See List of Professors in John V. Monaco [Vinnie Monaco] University(Naval Postgraduate School)

Co-Authors

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