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Sara Khanchi

Intrusion Detection Systems (IDS) Malware Analysis Network Traffic Analysis Machine Learning For Cybersecurity
New York Institute of Technology Department of Computer Science

About

Sara Khanchi is an assistant professor of computer science at New York Tech’s Vancouver campus. She received her Ph.D. in computer science from Dalhousie University in Halifax, Canada in 2019. She has several years of experience in industry, mainly in areas of malware analysis and development of secure network devices and services. Her current research interests are in the intersection of intrusion detection systems (IDS), malware analysis, machine learning, and network traffic analysis

Research Performance Summary

11
Total Papers
286
Total Citations
7
H-Index
2007-2023
Active Research Span

First Recorded Paper

Eye detection in color images

Year: 2007

Citations: 5

Venue: Fouth Iranian Conf. on Machine Vision and Image Processing (MVIP’07)

Latest Recorded Paper

Hybrid machine learning-based approaches for feature and overfitting reduction to model intrusion patterns

Year: 2023

Citations: 7

Venue: Journal of Cybersecurity and Privacy 3 (3)

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2023
1
2019
1
2018
3
2017
1
2016
1
2010
1
2009
1
2008
1
2007
1

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 9
Journal 1
Book 0

Top Coauthors

Khanchi Heywood Zincir-Heywood

Research Impact by Period

2020-2024

Period Stats
Papers 1
Citations 7
Avg. Citations / Paper 7
H-Index 1

2015-2019

Period Stats
Papers 6
Citations 138
Avg. Citations / Paper 23
H-Index 5

2010-2014

Period Stats
Papers 1
Citations 102
Avg. Citations / Paper 102
H-Index 1

2005-2009

Period Stats
Papers 3
Citations 39
Avg. Citations / Paper 13
H-Index 3

Contact and Professional Links

Contact Information

skhanchi@nyit.edu

Detected Research Keywords

No research keyword data found.