Results 141 to 150 of about 10,242 (187)

Leveraging hybrid deep learning with starfish optimization algorithm based secure mechanism for intelligent edge computing in smart cities environment. [PDF]

Sci Rep
Alkhalifa AK, Aljebreen M, Alanazi R, Ahmad N, Alrusaini O, Aljehane NO, Alqazzaz A, Alkhiri H.   +7 more
europepmc   +1 more source

Multimodal fusion based few-shot network intrusion detection system. [PDF]

Sci Rep
Xu C, Zhan Y, Wang Z, Yang J.
europepmc   +1 more source

A novel deep learning framework with temporal attention convolutional networks for intrusion detection in IoT and IIoT networks. [PDF]

Sci Rep
Ghosh KP, Hasan M, Robin MTI, Hossain MA, Islam MS.   +4 more
europepmc   +1 more source

Adaptive personalized federated learning with lightweight depthwise convolutional bottleneck network for novel intrusion detection system in internet of vehicles. [PDF]

Sci Rep
Almansour S, Yadav K, Alkwai LM, Alghamdi NS, Viriyasitavat W, Dhiman G.   +5 more
europepmc   +1 more source

A generative AI cybersecurity risks mitigation model for code generation: using ANN-ISM hybrid approach. [PDF]

Sci Rep
Al-Hashimi HA.
europepmc   +1 more source

An attack detection method based on deep learning for internet of things. [PDF]

Sci Rep
Yu Y, Fu Y, Liu T, Wang K, An Y.
europepmc   +1 more source

Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms. [PDF]

Sci Rep
Jayanthi S, Bavirthi SS, Murali P, Kumar KV, Alkahtani HK, Ishak MK, Mostafa SM.   +6 more
europepmc   +1 more source

Detecting SQL Injection and XSS Attack

This study aims to enhance the identification of XSS and SQL injection as threats by developing a CNN-LSTM model. XSS and SQL injection threats remain apparent when it comes to the security of web applications. Accordingly, for enhancing the detection accuracy and the model’s ability to maintain invariance, CNNs are adopted for performing local feature
openaire   +1 more source

A federated transformer-enhanced double Q-network for collaborative intrusion detection. [PDF]

Sci Rep
Ma T, Yin Y, Yang W, Wang S.
europepmc   +1 more source

Vulnerability detection in Java source code using a quantum convolutional neural network with self-attentive pooling, deep sequence, and graph-based hybrid feature extraction. [PDF]

Sci Rep
Hussain S, Nadeem M, Baber J, Hamdi M, Rajab A, Al Reshan MS, Shaikh A.   +6 more
europepmc   +1 more source