Research outputs per year
Research outputs per year
- 22 results
Search results
-
2025
Federated learning under attack: exposing vulnerabilities through data poisoning attacks in computer networks
Nowroozi, E., Haider, I., Taheri, R. & Conti, M., 3 Jan 2025, (Early online) In: IEEE Transactions on Network and Service Management. 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
2024
Deep Image: A precious image based deep learning method for online malware detection in IoT environment
Ghahramani, M., Taheri, R., Shojafar, M., Javidan, R. & Wan, S., 1 Oct 2024, In: Internet of Things (Netherlands). 27, 17 p., 101300.Research output: Contribution to journal › Article › peer-review
Open Access -
Enhancing federated learning robustness through randomization and mixture
Nabavirazavi, S., Taheri, R. & Iyengar , S. S., 1 Sept 2024, In: Future Generation Computer Systems. 158, p. 28-43Research output: Contribution to journal › Article › peer-review
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Impact of aggregation function randomization against model poisoning in federated learning
Nabavirazavi, S., Taheri, R., Shojafar, M. & Iyengar, S. S., 29 May 2024, 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). Institute of Electrical and Electronics Engineers Inc., p. 165-172 8 p. (TrustCom Proceedings Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile86 Downloads (Pure) -
Moving towards explainable artificial intelligence using fuzzy rule-based networks in decision-making process
Arabikhan, F., Gegov, A., Taheri, R., Akbari, N. & Bader-El-Den, M., 20 Jan 2024, Advances in Information Systems, Artificial Intelligence and Knowledge Management: 6th International Conference on Information and Knowledge Systems, ICIKS 2023, Portsmouth, UK, June 22–23, 2023, Proceedings. Saad, I., Rosenthal-Sabroux, C., Gargouri, F., Chakhar, S., Williams, N. & Haig, E. (eds.). 1st ed. Springer, p. 296-306 11 p. (Lecture Notes in Business Information Processing; vol. 486).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Peer-to-peer meets onion: the Veilid Framework
Glatzer, S., Shiaeles, S., Khusainov, R. & Taheri, R., 4 Sept 2024, 2024 IEEE International Conference on Cyber Security and Resilience (CSR). IEEE/ IAPR, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Robust aggregation function in federated learning
Taheri, R., Arabikhan, F., Gegov, A. & Akbari, N., 20 Jan 2024, Advances in Information Systems, Artificial Intelligence and Knowledge Management: 6th International Conference on Information and Knowledge Systems, ICIKS 2023, Portsmouth, UK, June 22–23, 2023, Proceedings. Saad, I., Rosenthal-Sabroux, C., Gargouri, F., Chakhar, S., Williams, N. & Haig, E. (eds.). Springer Nature, p. 168-175 8 p. (Lecture Notes in Business Information Processing; vol. 486).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Unveiling vulnerabilities in deep learning-based malware detection: Differential privacy driven adversarial attacks
Taheri, R., Shojafar, M., Arabikhan, F. & Gegov, A., 8 Aug 2024, (Early online) In: Computers and Security.Research output: Contribution to journal › Article › peer-review
Open Access -
Verifying the robustness of machine learning based intrusion detection against adversarial perturbation
Nowroozi, E., Taheri, R., Hajizadeh, M. & Bauschert, T., 24 Sept 2024, 2024 IEEE International Conference on Cyber Security and Resilience (CSR). Institute of Electrical and Electronics Engineers Inc., p. 9-15 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile22 Downloads (Pure) -
2023
Model poisoning attack against federated learning with adaptive aggregation
Nabavirazavi, S., Taheri, R., Ghahremani, M. & Iyengar , S. S., 15 Nov 2023, Adversarial Multimedia Forensics. Nowroozi, E., Kallas, K. & Jolfaei, A. (eds.). 1st ed. Springer, p. 1-27 27 p. (Advances in Information Security; vol. 104).Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review
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PASCOINFOG/PASFOG: Privacy-preserving data deduplication algorithms for fog storage systems
Pooranian, Z., Shojafar, M., Taheri, R. & Tafazolli, R., 16 Nov 2023, (Early online) In: IEEE Consumer Electronics Magazine. 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile81 Downloads (Pure) -
2022
Can Open and AI-enabled 6G RAN Be Secured?
Soltani, S., Shojafar, M., Taheri, R. & Tafazolli, R., 10 Sept 2022, (Early online) In: IEEE Consumer Electronics Magazine. 2 p.Research output: Contribution to journal › Comment/debate › peer-review
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SETTI: a self-supervised AdvErsarial malware DeTection ArchiTecture in an IoT environment
Golmaryami, S. M., Taheri, R., Pooranian, Z., Shojafar, M. & Xiao, P., 6 Oct 2022, In: ACM Transactions on Multimedia Computing, Communications and Applications. 18, 2s, 21 p., 122.Research output: Contribution to journal › Article › peer-review
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SIEMS: A Secure Intelligent Energy Management System for Industrial IoT applications
Asef, P., Taheri, R., Shojafar, M., Mporas, I. & Tafazolli, R., 8 Apr 2022, (Early online) In: IEEE Transactions on Industrial Informatics.Research output: Contribution to journal › Article › peer-review
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2021
Adversarial android malware detection for mobile multimedia applications in IoT environments
Taheri, R., Javidan, R. & Pooranian, Z., 1 May 2021, In: Multimedia Tools and Applications. 80, 11, p. 16713-16729 17 p.Research output: Contribution to journal › Article › peer-review
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FED-IIoT: a robust federated malware detection architecture in industrial IoT
Taheri, R., Shojafar, M., Alazab, M. & Tafazolli, R., 1 Dec 2021, In: IEEE Transactions on Industrial Informatics. 17, 12, p. 8442-8452Research output: Contribution to journal › Article › peer-review
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LEVER: secure deduplicated cloud storage with encrypted two-party interactions in cyber - physical systems
Pooranian, Z., Shojafar, M., Garg, S., Taheri, R. & Tafazolli, R., 1 Aug 2021, In: IEEE Transactions on Industrial Informatics. 17, 8, p. 5759-5768 10 p., 9184090.Research output: Contribution to journal › Article › peer-review
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RSS: an energy-efficient approach for securing IoT service protocols against the DoS attack
Ghahramani, M., Javidan, R., Shojafar, M., Taheri, R., Alazab, M. & Tafazolli, R., 1 Mar 2021, In: IEEE Internet of Things Journal. 8, 5, p. 3619-3635 17 p., 9194012.Research output: Contribution to journal › Article › peer-review
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2020
Can machine learning model with static features be fooled: an adversarial machine learning approach
Taheri, R., Javidan, R., Shojafar, M., Vinod, P. & Conti, M., 1 Dec 2020, In: Cluster Computing. 23, 4, p. 3233-3253 21 p.Research output: Contribution to journal › Article › peer-review
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On defending against label flipping attacks on malware detection systems
Taheri, R., Javidan, R., Shojafar, M., Pooranian, Z., Miri, A. & Conti, M., 1 Sept 2020, In: Neural Computing and Applications. 32, 18, p. 14781-14800 20 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile67 Downloads (Pure) -
Similarity-based Android malware detection using Hamming distance of static binary features
Taheri, R., Ghahramani, M., Javidan, R., Shojafar, M., Pooranian, Z. & Conti, M., 1 Apr 2020, In: Future Generation Computer Systems. 105, p. 230-247 18 p.Research output: Contribution to journal › Article › peer-review
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2019
Automatic clustering of attacks in intrusion detection systems
Shojafar, M., Taheri, R., Pooranian, Z., Javidan, R., Miri, A. & Jararweh, Y., 1 Nov 2019, 16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019. Institute of Electrical and Electronics Engineers Inc., 8 p. 9035238. (Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution