Hamid Bostani

Hamid Bostani

Radboud Universiteit

H-index: 6

Europe-Netherlands

About Hamid Bostani

Hamid Bostani, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Radboud Universiteit, specializes in the field of Machine Learning, Adversarial Machine Learning, Malware Analysis, Intrusion Detection, Internet of Things.

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

Evadedroid: A practical evasion attack on machine learning for black-box android malware detection

Targeted and Troublesome: Tracking and Advertising on Children's Websites

Level Up with RealAEs: Leveraging Domain Constraints in Feature Space to Strengthen Robustness of Android Malware Detection

Hybrid and modified opfs for intrusion detection systems and large-scale problems

Hamid Bostani Information

University

Position

PhD Candidate in the Digital Security Group The Netherlands

Citations(all)

526

Citations(since 2020)

450

Cited By

275

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Hamid Bostani Skills & Research Interests

Machine Learning

Adversarial Machine Learning

Malware Analysis

Intrusion Detection

Internet of Things

Top articles of Hamid Bostani

Evadedroid: A practical evasion attack on machine learning for black-box android malware detection

Computers & Security

2024/4/1

Hamid Bostani
Hamid Bostani

H-Index: 5

Targeted and Troublesome: Tracking and Advertising on Children's Websites

arXiv preprint arXiv:2308.04887

2023/8/9

Level Up with RealAEs: Leveraging Domain Constraints in Feature Space to Strengthen Robustness of Android Malware Detection

arXiv preprint arXiv:2205.15128

2022/5/30

Hybrid and modified opfs for intrusion detection systems and large-scale problems

2022/1/1

Hamid Bostani
Hamid Bostani

H-Index: 5

See List of Professors in Hamid Bostani University(Radboud Universiteit)