Directory of Experts

Abusitta, Adel

Directory of Experts

Abusitta, Adel

Directory of Experts

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Journal article (14) Conference paper (16) Book Book chapter (1) Patent Report (6) Thesis Dataset Teaching resource Image Audio recording Video recording Other

Adel Abusitta (37)

Journal articles (14)
- 2024
  - Bataineh, A. S., Zulkernine, M., Abusitta, A., & Halabi, T. (2024). Detecting Poisoning Attacks in Collaborative IDSs of Vehicular Networks Using XAI and Shapley Value. ACM Journal on Autonomous Transportation Systems, -.
  - Abusitta, A., Li, M. Q., & Fung, B. C. M. (2024). Survey on explainable AI : techniques, challenges and open issues. Expert Systems With Applications, 255, 124710 (18 pages).
- 2023
  - Girard, E., Yusri, R., Abusitta, A., & Aïmeur, E. (2023). An automated stable personalized selection for collaborative privacy education. International Journal on Integrating Technology in Education, 10(2), 16 pages.
  - Sleit, A., AlMobaideen, W., Baarah, A. H., & Abusitta, A. (2023). An efficient pattern matching algorithm. Journal of Applied Sciences, 7(18), 2691-2695.
  - Abusitta, A. (2023). A visual cryptography based digital image copyright protection. Journal of Information Security and Applications, 3(2), 96-104.
  - Abusitta, A., de Carvalho, G. H. S., Abdul Wahab, O., Halabi, T., Fung, B. C. M., & Al Mamoori, S. (2023). Deep learning-enabled anomaly detection for IoT systems. Internet of Things, 21, 100656 (13 pages).
- 2022
  - Esmaeilpour, M., Chaalia, N., Abusitta, A., Devailly, F.-X., Maazoun, W., & Cardinal, P. (2022). Bi-discriminator GAN for tabular data synthesis. Pattern Recognition Letters, 159, 204-210.
- 2021
  - Abusitta, A., Li, M. Q., & Fung, B. C. M. (2021). Malware classification and composition analysis: A survey of recent developments. Journal of Information Security and Applications, 59, 102828 (17 pages).
  - Yusri, R., Abusitta, A., & Aïmeur, E. (2021). Teens-Online: a Game Theory-Based Collaborative Platform for Privacy Education. International Journal of Artificial Intelligence in Education, 31(4), 726-768.
- 2019
  - Abusitta, A., Bellaïche, M., Dagenais, M., & Halabi, T. (2019). A deep learning approach for proactive multi-cloud cooperative intrusion detection system. Future Generation Computer Systems-the International Journal of Escience, 98, 308-318.
  - Abusitta, A., Bellaïche, M., & Dagenais, M. (2019). Multi-cloud cooperative intrusion detection system: trust and fairness assurance. Annals of Telecommunications, 74(9-10), 637-653.
- 2018
  - Abusitta, A., Bellaïche, M., & Dagenais, M. (2018). An SVM-based framework for detecting DoS attacks in virtualized clouds under changing environment. Journal of Cloud Computing : Advances, Systems and Applications, 7(9), 9 (18 pages).
  - Abusitta, A., Bellaïche, M., & Dagenais, M. (2018). On trustworthy federated clouds : a coalitional game approach. Computer Networks, 145, 52-63.
- 2007
  - Sleit, A., & Abusitta, A. (2007). A visual cryptography bassed watermark technology for individual and group images. Journal of Systemics, Cybernetics and Informatics, 5(2), 24-32.
Conference papers (16)
- 2024
  - Khorramfar, M., Mtawa, Y. A., Abusitta, A., & Halabi, T. (2024, June). Credit-Based Client Selection for Resilient Model Aggregation in Federated Learning [Paper]. 59th Annual IEEE International Conference on Communications (ICC 2024), Denver, CO, USA.
  - Alhashemi, W. J., Fung, B. C. M., Abusitta, A., & Fachkha, C. (2024, November). CSGraph2Vec: Distributed Graph-Based Representation Learning for Assembly Functions [Paper]. IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE 2024), Taichung, Taiwan.
  - Abusitta, A., Halabi, T., Bataineh, A. S., & Zulkernine, M. (2024, June). Generative Adversarial Networks for Robust Anomaly Detection in Noisy IoT Environments [Paper]. IEEE International Conference on Communications (ICC 2024), Denver, CO, USA.
- 2022
  - Halabi, T., Abusitta, A., Carvalho, G. H. S., & Fung, B. C. M. (2022, July). Incentivized Security-Aware Computation Offloading for Large-Scale Internet of Things Applications [Paper]. 7th International Conference on Smart and Sustainable Technologies (SpliTech 2022), Bol, Croatia (6 pages).
  - Li, M. Q., Fung, B. C. M., & Abusitta, A. (2022, July). On the Effectiveness of Interpretable Feedforward Neural Network [Paper]. International Joint Conference on Neural Networks (IJCNN 2022), Padua, Italy (8 pages).
- 2021
  - Abusitta, A., Halabi, T., & Abdul Wahab, O. (2021, August). ROBUST: Deep learning for malware detection under changing environments [Paper]. 1st Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies (AIofAI 2021), Montréal, Qc, Canada (13 pages).
  - Abusitta, A., Abdul Wahab, O., & Fung, B. C. M. (2021, July). VirtualGAN: Reducing mode collapse in generative adversarial networks using virtual mapping [Paper]. International Joint Conference on Neural Networks (IJCNN 2021), Shenzhen, China (6 pages).
- 2020
  - Yusri, R., Abusitta, A., & Aïmeur, E. (2020, July). A Stable Personalised Partner Selection for Collaborative Privacy Education [Paper]. 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2020), Genoa, Italy.
  - Abusitta, A., Aïmeur, E., & Abdul Wahab, O. (2020, August). Generative adversarial networks for mitigating biases in machine learning systems [Paper]. 24th European Conference on Artificial Intelligence (ECAI 2019), Santiago de Compostela, Spain (11 pages).
- 2019
  - Halabi, T., Bellaïche, M., & Abusitta, A. (2019, February). Toward secure resource allocation in mobile cloud computing : a matching game [Paper]. International Conference on Computing, Networking and Communications (ICNC 2019), Honolulu, HI, USA.
- 2018
  - Bellaïche, M., Abusitta, A., & Halabi, T. (2018, June). A cooperative game for online cloud federation formation based on security risk assessment [Paper]. 5th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud 2018) / 2018 4th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom 2018), Shanghai, China.
  - Abusitta, A., Bellaïche, M., & Dagenais, M. (2018, February). A trust-based game theoretical model for cooperative intrusion detection in multi-cloud environments [Paper]. 21st Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN 2018), Paris, France (8 pages).
  - Halabi, T., Bellaïche, M., & Abusitta, A. (2018, June). Cloud security up for auction : a DSIC online mechanism for secure IaaS resource allocation [Paper]. Conference on Communications and Network Security (CSNET 2018), Paris, France (6 pages).
  - Halabi, T., Bellaïche, M., & Abusitta, A. (2018, August). Online allocation of cloud resources based on security satisfaction [Paper]. 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering (Trustcom/BigDataSE 2018), New York, N.Y..
- 2006
  - Sleit, A., & Abusitta, A. (2006, July). A watermark technology based on visual cryptography [Paper]. 10th World Multi-Conference on Systemics, Cybernetics and Informatics, Orlando, Florida, USA.
  - Sleit, A., & Abusitta, A. (2006, May). A watermark technology based on visual cryptography [Paper]. 4th International Multiconference on Computer Science and Information Technology (CSIT 2006), Amman, Jordan (11 pages).
Book chapters (1)
- 2025
  - Abusitta, A. (2025). Security and privacy of IoT applications. In Serhani, M. A., Xu, Y., & Maamar, Z. (eds.), Empowering IoT with Big Data Analytics (pp. 109-140).
Reports (6)
- 2021
  - Abusitta, A., Li, M., Diwan, A., Hill, J., & Fung, B. (2021). AI-powered assembly code analytics for discerning malware intent. (Study Report - Graduate Studies n° W7714-217794).
  - Li, M., Diwan, A., Abusitta, A., & Fung, B. (2021). AI-powered assembly code analytics for discerning malware intent. (Study Report - Graduate Studies n° W7714-217794).
  - Li, M., Diwan, A., Abusitta, A., Mahdavifar, S., & Fung, B. (2021). AI-powered assembly code analytics for discerning malware intent. (Study Report - Graduate Studies n° W7714-217794).
- 2020
  - Li, M., Abusitta, A., & Fung, B. (2020). AI-powered assembly code analytics for discerning malware intent. (Study Report - Graduate Studies n° W7714-207117).
  - Abusitta, A., Abdul Wahab, O., & Halabi, T. (2020). Deep learning for proactive cooperative malware detection system. (Report n° G-2020-23 EIW12).
- 2019
  - Abusitta, A., Li, M., & Fung, B. (2019). AI-powered assembly code analytics for discerning malware intent. (Study Report - Graduate Studies n° W7714-207117).

Directory of Experts

Abusitta, Adel

Directory of Experts

Abusitta, Adel

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Publications by type

Adel Abusitta (37)