Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Lip Yee Por"'
Autor:
Abdullah Ayub Khan, Yen-Lin Chen, Fahima Hajjej, Aftab Ahmed Shaikh, Jing Yang, Chin Soon Ku, Lip Yee Por
Publikováno v:
Egyptian Informatics Journal, Vol 27, Iss , Pp 100502- (2024)
Owing to the major development of social media platforms, the usage of technological adaptation increases by means of editing software tools. Posting media in social communication environments has become one of our common daily routines. Before posti
Externí odkaz:
https://doaj.org/article/828f57fdeb8f4fcc9d45f1af9e9bbcb7
Autor:
Lip Yee Por, Zhen Dai, Siew Juan Leem, Yi Chen, Jing Yang, Farid Binbeshr, Koo Yuen Phan, Chin Soon Ku
Publikováno v:
IEEE Access, Vol 12, Pp 144150-144163 (2024)
The detection of zero-day attacks remains one of the most critical challenges in cybersecurity. This systematic literature review focuses on the various AI-based methods employed for detecting zero-day attacks, identifying both the strengths and weak
Externí odkaz:
https://doaj.org/article/62a24303a1574ab9bfbd84557ea00cdb
Autor:
Mohamed Gabr, Amr Diab, Huwaida T. Elshoush, Yen-Lin Chen, Lip Yee Por, Chin Soon Ku, Wassim Alexan
Publikováno v:
IEEE Access, Vol 12, Pp 116457-116477 (2024)
This article proposes a novel double data security algorithm that first encrypts sensitive data using a two-stage encryption method based on numerical solutions from a fractional-order memristive coupled neural network system. Solutions are obtained
Externí odkaz:
https://doaj.org/article/b6090ada954a45669e8b0d9f9e7a48a7
Autor:
Laraib Sana, Muhammad Mohsin Nazir, Jing Yang, Lal Hussain, Yen-Lin Chen, Chin Soon Ku, Mohammed Alatiyyah, Sulaiman Abdullah Alateyah, Lip Yee Por
Publikováno v:
IEEE Access, Vol 12, Pp 82443-82468 (2024)
The ever-expanding Internet of Things (IoT) landscape presents a double-edged sword. While it fosters interconnectedness, the vast amount of data generated by IoT devices creates a larger attack surface for cybercriminals. Intrusions in these environ
Externí odkaz:
https://doaj.org/article/a72f21383ddc4a8db975be298fe39db3
Autor:
Sohail Mahmood Babur, Shafiq Ur Rehman Khan, Jing Yang, Yen-Lin Chen, Chin Soon Ku, Lip Yee Por
Publikováno v:
IEEE Access, Vol 12, Pp 77852-77869 (2024)
In permissionless blockchain systems, Proof of Work (PoW) is utilized to address the issues of double-spending and transaction starvation. When an attacker acquires more than 50% of the hash power of the entire network, they gain the ability to engag
Externí odkaz:
https://doaj.org/article/ce90b32f8aa845b0838a2b574f5372b3
Publikováno v:
IEEE Access, Vol 12, Pp 53408-53423 (2024)
This systematic literature review delves into the dynamic realm of graphical passwords, focusing on the myriad security attacks they face and the diverse countermeasures devised to mitigate these threats. The core objective of this paper is to identi
Externí odkaz:
https://doaj.org/article/5058fd0aa8b4463ba193df4e130b81d0
Publikováno v:
IEEE Access, Vol 12, Pp 9369-9381 (2024)
The challenge of bankruptcy prediction, critical for averting financial sector losses, is amplified by the prevalence of imbalanced datasets, which often skew prediction models. Addressing this, our study introduces the innovative hybrid model XGBoos
Externí odkaz:
https://doaj.org/article/5c27d23ca455416d9f0fae1fb615e58c
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e30625- (2024)
Automatic classification of colon and lung cancer images is crucial for early detection and accurate diagnostics. However, there is room for improvement to enhance accuracy, ensuring better diagnostic precision. This study introduces two novel dense
Externí odkaz:
https://doaj.org/article/585c9a8e0bfa4c698ad17b12d341f0c7
Autor:
Syed Muhammad Nabeel, Sibghat Ullah Bazai, Nada Alasbali, Yifan Liu, Muhammad Imran Ghafoor, Rozi Khan, Chin Soon Ku, Jing Yang, Sana Shahab, Lip Yee Por
Publikováno v:
Digital Health, Vol 10 (2024)
Artificial intelligence is steadily permeating various sectors, including healthcare. This research specifically addresses lung cancer, the world's deadliest disease with the highest mortality rate. Two primary factors contribute to its onset: geneti
Externí odkaz:
https://doaj.org/article/ddbd3097c0f94302a45cc4a6bf87de0a
Autor:
Liangyu Li, Jing Yang, Lip Yee Por, Mohammad Shahbaz Khan, Rim Hamdaoui, Lal Hussain, Zahoor Iqbal, Ionela Magdalena Rotaru, Dan Dobrotă, Moutaz Aldrdery, Abdulfattah Omar
Publikováno v:
Heliyon, Vol 10, Iss 4, Pp e26192- (2024)
Machine learning offers significant potential for lung cancer detection, enabling early diagnosis and potentially improving patient outcomes. Feature extraction remains a crucial challenge in this domain. Combining the most relevant features can furt
Externí odkaz:
https://doaj.org/article/f74de864825a461c82a151da901c51b8