NSF PAR Search | NSF Public Access Repository

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

Domain-Agnostic Adapter Architecture for Deception Detection: Extensive Evaluations with the DIFrauD Benchmark

Boumber, Dainis A; Qachfar, Fatima Zahra; Verma, Rakesh M (May 2024, Association for Computational Linguistics)

Full Text Available
Data Quality and Linguistic Cues for Domain-independent Deception Detection

https://doi.org/10.1109/BDCAT56447.2022.00042

Hanks, Casey; Verma, Rakesh M. (December 2022, 2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT))

Full Text Available
Data Quality for Security Challenges: Case Studies of Phishing, Malware and Intrusion Detection Datasets

https://doi.org/10.1145/3319535.3363267

Verma, Rakesh M.; Zeng, Victor; Faridi, Houtan (November 2019, Conference on Computer and Communications Security)

Techniques from data science are increasingly being applied by researchers to security challenges. However, challenges unique to the security domain necessitate painstaking care for the models to be valid and robust. In this paper, we explain key dimensions of data quality relevant for security, illustrate them with several popular datasets for phishing, intrusion detection and malware, indicate operational methods for assuring data quality and seek to inspire the audience to generate high quality datasets for security challenges.
more » « less
Full Text Available

Search for: All records