[HTML][HTML] Anomaly detection using deep neural network for IoT architecture
The revolutionary idea of the internet of things (IoT) architecture has gained enormous
popularity over the last decade, resulting in an exponential growth in the IoT networks …
popularity over the last decade, resulting in an exponential growth in the IoT networks …
[HTML][HTML] Blockchain-based multifactor authentication for future 6G cellular networks: A systematic review
There are continued advances in the internet and communication fields regarding the
deployment of 5G-based applications. It is expected that by 2030, 6G applications will …
deployment of 5G-based applications. It is expected that by 2030, 6G applications will …
[HTML][HTML] Enhancing the performance of SQL injection attack detection through probabilistic neural networks
FK Alarfaj, NA Khan - Applied Sciences, 2023 - mdpi.com
SQL injection attack is considered one of the most dangerous vulnerabilities exploited to
leak sensitive information, gain unauthorized access, and cause financial loss to individuals …
leak sensitive information, gain unauthorized access, and cause financial loss to individuals …
[PDF][PDF] Analysis and Intellectual Structure of the Multi-Factor Authentication in Information Security.
This study presents the current state of research on multi-factor authentication.
Authentication is one of the important traits in the security domain as it ensures that …
Authentication is one of the important traits in the security domain as it ensures that …
Majority vote-based ensemble approach for distributed denial of service attack detection in cloud computing
AA Alqarni - Journal of Cyber Security and Mobility, 2022 - journals.riverpublishers.com
Cloud computing is considered as technical advancement in information technology. Many
organizations have been motivated by this advancement to outsource their data and …
organizations have been motivated by this advancement to outsource their data and …
MNN-XSS: Modular neural network based approach for XSS attack detection
The rapid growth and uptake of network-based communication technologies have made
cybersecurity a significant challenge as the number of cyber-attacks is also increasing. A …
cybersecurity a significant challenge as the number of cyber-attacks is also increasing. A …
[HTML][HTML] Towards a deep learning-based outlier detection approach in the context of streaming data
Uncommon observations that significantly vary from the norm are referred to as outliers.
Outlier detection, which aims to detect unexpected behavior, is a critical topic that has …
Outlier detection, which aims to detect unexpected behavior, is a critical topic that has …
[HTML][HTML] 5G Network: Techniques to Increase Quality of Service and Quality of Experience
NA Khan - International Journal of Computer Networks and …, 2022 - ischolar.sscldl.in
The rapid growth of interconnected networks and devices inevitably causes the rise of traffic
demand and thus pushes the technologies like long-term evolution-Advanced (LTE-A) and …
demand and thus pushes the technologies like long-term evolution-Advanced (LTE-A) and …
[PDF][PDF] Hybrid feature classification approach for malicious javaScript attack detection using deep learning
NA Khan, MY Alzaharani, HA Kar - International Journal of …, 2020 - researchgate.net
With the development and rapid growth in IT infrastructure, malicious code attacks are
considered as the main threat to cybersecurity. Malicious JavaScript's which are intentionally …
considered as the main threat to cybersecurity. Malicious JavaScript's which are intentionally …
[PDF][PDF] NO TEARS 算法在XSS 攻击检测中的应用研究
孙宝丹， 王培超， 周鋆 - 小型微型计算机系统, 2020 - c2-group.github.io
近年来, 利用机器学习技术对跨站脚本攻击(XSS 攻击) 进行检测成为网络安全研究的热点.
由于检测特征多, 样本标注有限, 机器学习模型的精准训练问题一直是一个难题 …
由于检测特征多, 样本标注有限, 机器学习模型的精准训练问题一直是一个难题 …