Hamid Bostani

Orcid: 0000-0002-2097-5521

According to our database1, Hamid Bostani authored at least 12 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Level Up with ML Vulnerability Identification: Leveraging Domain Constraints in Feature Space for Robust Android Malware Detection.
ACM Trans. Priv. Secur., May, 2025

Beyond Learning Algorithms: The Crucial Role of Data in Robust Malware Detection.
IEEE Secur. Priv., 2025

2024
On the Effectiveness of Adversarial Training on Malware Classifiers.
CoRR, 2024

EvadeDroid: A practical evasion attack on machine learning for black-box Android malware detection.
Comput. Secur., 2024

Targeted and Troublesome: Tracking and Advertising on Children's Websites.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations.
Proceedings of the Computer Security. ESORICS 2024 International Workshops, 2024

2022
Domain Constraints in Feature Space: Strengthening Robustness of Android Malware Detection against Realizable Adversarial Examples.
CoRR, 2022

2021
A strong coreset algorithm to accelerate OPF as a graph-based machine learning in large-scale problems.
Inf. Sci., 2021

2017
Hybrid of binary gravitational search algorithm and mutual information for feature selection in intrusion detection systems.
Soft Comput., 2017

Modification of supervised OPF-based intrusion detection systems using unsupervised learning and social network concept.
Pattern Recognit., 2017

Hybrid of anomaly-based and specification-based IDS for Internet of Things using unsupervised OPF based on MapReduce approach.
Comput. Commun., 2017

2016
A hybrid intrusion detection architecture for Internet of things.
Proceedings of the 8th International Symposium on Telecommunications, 2016


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