Afsah Anwar
Orcid: 0000-0003-1449-3590
According to our database1,
Afsah Anwar
authored at least 35 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Revisiting Nakamoto Consensus in Asynchronous Networks: A Comprehensive Analysis of Bitcoin Safety and Chain Quality.
IEEE/ACM Trans. Netw., February, 2024
Exposing the Limitations of Machine Learning for Malware Detection Under Concept Drift.
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024
2022
IEEE Trans. Dependable Secur. Comput., 2022
DL-FHMC: Deep Learning-Based Fine-Grained Hierarchical Learning Approach for Robust Malware Classification.
IEEE Trans. Dependable Secur. Comput., 2022
ShellCore: Automating Malicious IoT Software Detection Using Shell Commands Representation.
IEEE Internet Things J., 2022
Comput. Networks, 2022
Understanding Internet of Things malware by analyzing endpoints in their static artifacts.
Comput. Networks, 2022
Proceedings of the 25th International Symposium on Research in Attacks, 2022
A Recent Year On the Internet: Measuring and Understanding the Threats to Everyday Internet Devices.
Proceedings of the Annual Computer Security Applications Conference, 2022
2021
IACR Cryptol. ePrint Arch., 2021
CoRR, 2021
ShellCore: Automating Malicious IoT Software Detection by Using Shell Commands Representation.
CoRR, 2021
Corrigendum to "Domain name system security and privacy: A contemporary survey" Computer Networks Volume 185 (2020) 107699.
Comput. Networks, 2021
Comput. Networks, 2021
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021
Revisiting Nakamoto Consensus in Asynchronous Networks: A Comprehensive Analysis of Bitcoin Safety and ChainQuality.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021
2020
EAI Endorsed Trans. Security Safety, 2020
A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification.
CoRR, 2020
Understanding the Proxy Ecosystem: A Comparative Analysis of Residential and Open Proxies on the Internet.
IEEE Access, 2020
Statically Dissecting Internet of Things Malware: Analysis, Characterization, and Detection.
Proceedings of the Information and Communications Security - 22nd International Conference, 2020
Soteria: Detecting Adversarial Examples in Control Flow Graph-based Malware Classifiers.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020
2019
IEEE Internet Things J., 2019
CoRR, 2019
CoRR, 2019
Proceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks, 2019
Breaking graph-based IoT malware detection systems using adversarial examples: poster.
Proceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks, 2019
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2019
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019
Honor among Thieves: Towards Understanding the Dynamics and Interdependencies in IoT Botnets.
Proceedings of the 2019 IEEE Conference on Dependable and Secure Computing, 2019
2018
Understanding the Hidden Cost of Software Vulnerabilities: Measurements and Predictions.
Proceedings of the Security and Privacy in Communication Networks, 2018
Proceedings of the Computational Data and Social Networks - 7th International Conference, 2018
POSTER: Understanding the Hidden Cost of Software Vulnerabilities: Measurements and Predictions.
Proceedings of the 2018 on Asia Conference on Computer and Communications Security, 2018