Privacy-preserving over encrypted data for web page phishing detection
*Ali Kadhim BermaniCorresponding authorali.k.bermani@uomus.edu.iqDepartment of Information Networks College of Information Technology University of Babylon; Department of Computer Techniques Engineering College of Engineering and Technologies Al-Mustaqbal UniversityDepartment of Network College of Information Technology University of BabylonBabylon, IraqView full profile → , Ahmed M. Al-Salihahmed.alsalih@uobabylon.edu.iqDepartment of Information Networks College of Information Technology University of BabylonBabylon, IraqView full profile → , Hiba Ameer Jabirhiba.alkhafaji@uobabylon.edu.iqDepartment of Information Networks College of Information Technology University of BabylonBabylon, IraqView full profile → , Mehdi Ebady Manaamahdi.ebadi@uomus.edu.iqDepartment of Information Networks College of Information Technology University of Babylon; Department of Intelligent Medical System College of Sciences Al-Mustaqbal UniversityDepartment of Network College of Information Technology University of BabylonBabylon, IraqView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 11 Feb 2025
- Published Online:
- 26 Jun 2025
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-2287
- Pages:
- 1413–1424
Abstract
Keywords
Subject Classifications
References
[1] P. Rani, S. Verma, S. P. Yadav, B. K. Rai, M. S. Naruka, and D. Kumar, “Simulation of the lightweight blockchain technique based on privacy and security for healthcare data for the cloud system,” International Journal of E-Health and Medical Communications (IJEHMC), vol. 13, no. 4, pp. 1–15 (2022).
[2] K. Butler, W. Enck, J. Plasterr, P. Traynor, and P. McDaniel, “Privacy Preserving Web-Based Email,” in Information Systems Security, vol. 4332, A. Bagchi and V. Atluri, Eds., in Lecture Notes in Computer Science, vol. 4332., Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 116–131 (2006). doi: 10.1007/11961635_8.
[3] E. E. Lastdrager, “Achieving a consensual definition of phishing based on a systematic review of the literature,” Crime Sci, vol. 3, no. 1, p. 9 (Dec. 2014), doi: 10.1186/s40163-014-0009-y.
[4] B. Bhola, S. Misra, M. S. Obaidat, and A. Mukherjee, “Quality-enabled decentralized dynamic IoT platform with scalable resources integration,” IET Communications (2022).
[5] M. Khonji, Y. Iraqi, and A. Jones, “Phishing Detection: A Literature Survey,” IEEE Commun. Surv. Tutorials, vol. 15, no. 4, pp. 2091–2121 (2013), doi: 10.1109/SURV.2013.032213.00009.
[6] K. Pandove, A. Jindal, and R. Kumar, “Email spoofing,” International Journal of Computer Applications, vol. 5, no. 1, pp. 27–30 (2010).
[7] J. Hong, “The state of phishing attacks,” Commun. ACM, vol. 55, no. 1, pp. 74–81 (Jan. 2012), doi: 10.1145/2063176.2063197.
[8] P. Rani, C. Sharma, J. V. N. Ramesh, S. Verma, R. Sharma, A. Alkhayyat, and S. Kumar, “Federated Learning-Based Misbehaviour Detection for the 5G-Enabled Internet of Vehicles,” IEEE Transactions on Consumer Electronics (2023).
[9] C. Ellison and B. Schneier, “Ten risks of PKI: What you’re not being told about public key infrastructure,” Comput Secur J, vol. 16, no. 1, pp. 1–7 (2000).
[10] L. Demir, A. Kumar, M. Cunche, and C. Lauradoux, “The pitfalls of hashing for privacy,” IEEE Communications Surveys & Tutorials, vol. 20, no. 1, pp. 551–565 (2017).
[11] T. Gerbet, A. Kumar, and C. Lauradoux, “A privacy analysis of Google and Yandex safe browsing,” in 2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), IEEE, 2016, pp. 347–358. Accessed: Feb. 22 (2025). [Online]. Available: https://ieeexplore.ieee.org/abstract/document/7579754/
[12] P. Rani, P. N. Singh, S. Verma, N. Ali, P. K. Shukla, and M. Alhassan, “An implementation of modified blowfish technique with honey bee behaviour optimization for load balancing in the cloud system environment,” Wireless Communications and Mobile Computing, vol. 2022, pp. 1–14 (2022).
[13] A. Singh, S. Putluri, P. Rani, N. K. Agrawal, R. Sharma, E. Kariri, and D. G. Aray, “Smart Traffic Monitoring Through Real-Time Moving Vehicle Detection Using Deep Learning via Aerial Images for Consumer Application,” IEEE Trans. Consumer Electron., pp. 1–1 (2024), doi: 10.1109/TCE.2024.3445728.
[14] G. Goth, “Phishing attacks rising, but dollar losses down,” IEEE Secur. Privacy Mag., vol. 3, no. 1, p. 8 (Jan. 2005), doi: 10.1109/MSP.2005.21.
[15] S. Keelveedhi, M. Bellare, and T. Ristenpart, “{DupLESS}:{Server-Aided} encryption for deduplicated storage,” in 22nd USENIX security symposium (USENIX security 13), pp. 179–194 (2013). Accessed: Feb. 22, 2025. [Online]. Available: https://www.usenix.org/conference/usenixsecurity13/technical-sessions/presentation/bellare
[16] X. Yuan, X. Wang, C. Wang, C. Yu, and S. Nutanong, “Privacy-Preserving Similarity Joins Over Encrypted Data,” IEEE Trans.Inform.Forensic Secur., vol. 12, no. 11, pp. 2763–2775 (Nov. 2017), doi: 10.1109/TIFS.2017.2721221.
[17] Q. Wang, W. Guo, X. Du, and M. Guizani, “Privacy-Preserving Collaborative Model Learning: The Case of Word Vector Training,” IEEE Trans. Knowl. Data Eng., vol. 30, no. 12, pp. 2381–2393 (Dec. 2018), doi: 10.1109/TKDE.2018.2819673.
[18] MQ. Wang, W. Guo, X. Du, and M. Guizani, “An efficient algorithm to detect DDoS amplification attacks,” IFS, vol. 39, no. 6, pp. 8565–8572 (Dec. 2020), doi: 10.3233/JIFS-189173.
[19] T. Floyd, M. Grieco, and E. F. Reid, “Mining hospital data breach records: Cyber threats to U.S. hospitals,” in 2016 IEEE Conference on Intelligence and Security Informatics (ISI), Tucson, AZ, USA: IEEE, Sep. 2016), pp. 43–48. doi: 10.1109/ISI.2016.7745441.
[20] D. Kothandaraman, A. Kumar Sivaraman, S. Sundar, and K. Dhanalakshmi, “Energy and bandwidth based link stability routing algorithm for IoT,” Computers, Materials & Continua, vol. 70, no. 2, pp. 2817–2833 (2022). [Online]. Available: https://www.researchgate.net/profile/Arun-Kumar-Sivaraman/publication/354859362_Energy_and_Bandwidth_Based_Link_Stability_Routing_Algorithm_for_IoT/links/61518d7d154b3227a8b02408/Energy-and-Bandwidth-Based-Link-Stability-Routing-Algorithm-for-IoT.pdf. Accessed: Feb. 22, 2025.
[21] X. Liu, R. H. Deng, K.-K. R. Choo, and J. Weng, “An Efficient Privacy-Preserving Outsourced Calculation Toolkit With Multiple Keys,” IEEE Trans.Inform.Forensic Secur., vol. 11, no. 11, pp. 2401–2414 (Nov. 2016), doi: 10.1109/TIFS.2016.2573770.
[22] R. M. Mohammad, F. Thabtah, and L. McCluskey, “Predicting phishing websites based on self-structuring neural network,” Neural Comput & Applic, vol. 25, no. 2, pp. 443–458 (Aug. 2014), doi: 10.1007/s00521-013-1490-z.
[23] G.-B. Huang, Q.-Y. Zhu, and C.-K. Siew, “Extreme learning machine: theory and applications,” Neurocomputing, vol. 70, no. 1–3, pp. 489–501 (2006).
[24] G.-B. Huang, Q.-Y. Zhu, and C.-K. Siew, “Extreme learning machine: a new learning scheme of feed-forward neural networks,” in 2004 IEEE International Joint Conference on neural networks (IEEE Cat. No. 04CH37541), Ieee, pp. 985–990 (2004). Accessed: Feb. 26, 2025. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/1380068/
[25] I. Guyon and A. Elisseeff, “An Introduction to Feature Extraction,” in Feature Extraction, vol. 207, I. Guyon, M. Nikravesh, S. Gunn, and L. A. Zadeh, Eds., in Studies in Fuzziness and Soft Computing, vol. 207., Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 1–25 (2006). doi: 10.1007/978-3-540-35488-8_1.




