Items where Author is "Majeed, Abdul"

Article

Majeed, Abdul ORCID: https://orcid.org/0000-0002-3030-5054, Khan, Safiullah ORCID: https://orcid.org/0000-0001-8342-6928 and Hwang, Seong Oun ORCID: https://orcid.org/0000-0003-4240-6255 (2024) Towards optimization of privacy-utility trade-off using similarity and diversity based clustering. IEEE Transactions on Emerging Topics in Computing, 12 (1). pp. 368-385.

Khan, Safiullah ORCID: https://orcid.org/0000-0001-8342-6928, Lee, Wai-Kong ORCID: https://orcid.org/0000-0003-4659-8979, Karmakar, Angshuman ORCID: https://orcid.org/0000-0003-2594-588X, Mera, Jose Maria Bermudo ORCID: https://orcid.org/0000-0003-0457-5728, Majeed, Abdul ORCID: https://orcid.org/0000-0002-3030-5054 and Hwang, Seong Oun ORCID: https://orcid.org/0000-0003-4240-6255 (2023) Area-time efficient implementation of NIST lightweight hash functions targeting IoT applications. IEEE Internet of Things Journal, 10 (9). pp. 8083-8095.

Khan, Safiullah ORCID: https://orcid.org/0000-0001-8342-6928, Lee, Wai-Kong ORCID: https://orcid.org/0000-0003-4659-8979, Khalid, Ayesha, Majeed, Abdul and Hwang, Seong Oun ORCID: https://orcid.org/0000-0003-4240-6255 (2023) Area-optimized constant-time hardware implementation for polynomial multiplication. IEEE Embedded Systems Letters, 15 (1). pp. 5-8. ISSN 1943-0663

Majeed, Abdul, Khan, Safiullah ORCID: https://orcid.org/0000-0001-8342-6928 and Hwang, Seong Oun ORCID: https://orcid.org/0000-0003-4240-6255 (2022) A comprehensive analysis of privacy-preserving solutions developed for online social networks. Electronics, 11 (13).

Majeed, Abdul ORCID: https://orcid.org/0000-0002-3030-5054, Khan, Safiullah ORCID: https://orcid.org/0000-0001-8342-6928 and Hwang, Seong Oun ORCID: https://orcid.org/0000-0003-4240-6255 (2022) Toward privacy preservation using clustering based anonymization: recent advances and future research outlook. IEEE Access, 10. pp. 53066-53097.

Majeed, Abdul, Khan, Safiullah ORCID: https://orcid.org/0000-0001-8342-6928 and Hwang, Seong Oun ORCID: https://orcid.org/0000-0003-4240-6255 (2022) Group privacy: an underrated but worth studying research problem in the era of artificial intelligence and big data. Electronics, 11 (9).