Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Hazim Hanif"'
Publikováno v:
PeerJ Computer Science, Vol 10, p e2145 (2024)
The Internet of Things (IoT) is becoming more prevalent in our daily lives. A recent industry report projected the global IoT market to be worth more than USD 4 trillion by 2032. To cope with the ever-increasing IoT devices in use, identifying and se
Externí odkaz:
https://doaj.org/article/09f306b77ae94677ae59720484766198
Autor:
Hazim Hanif, Sergio Maffeis
This paper presents VulBERTa, a deep learning approach to detect security vulnerabilities in source code. Our approach pre-trains a RoBERTa model with a custom tokenisation pipeline on real-world code from open-source C/C++ projects. The model learns
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0b982d58c2555dc70a915b1d948265a
http://arxiv.org/abs/2205.12424
http://arxiv.org/abs/2205.12424
Publikováno v:
SAC
This paper presents DeepTective, a deep learning-based approach to detect vulnerabilities in PHP source code. DeepTective implements a novel hybrid technique that combines Gated Recurrent Units and Graph Convolutional Networks to detect SQLi, XSS and
This paper presents DeepTective, a deep learning approach to detect vulnerabilities in PHP source code. Our approach implements a novel hybrid technique that combines Gated Recurrent Units and Graph Convolutional Networks to detect SQLi, XSS and OSCI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ded5ce70e691d6332cf3113b5f8af460
http://arxiv.org/abs/2012.08835
http://arxiv.org/abs/2012.08835
Autor:
Mohd Faizal Ab Razak, Ahmad Firdaus, Mohd Hairul Nizam Md Nasir, Nor Badrul Anuar, Hazim Hanif
Publikováno v:
Journal of Network and Computer Applications. 179:103009
The detection of software vulnerability requires critical attention during the development phase to make it secure and less vulnerable. Vulnerable software always invites hackers to perform malicious activities and disrupt the operation of the softwa