Jan 20, 2020 · In this paper, we propose a multiclass ConvNet model to classify exploit kits, where we adopt various image processing techniques and adjust the ...

This paper proposes a multiclass ConvNet model to classify exploit kits, where the model recursively updates images and is designed for fully preserving ...

Jan 22, 2020 · ... This review of the existing literature on the use of ML for exploitation detection focuses on papers that use runtime traces from processors ...

In such circumstances, convolutional neural networks (ConvNets) can help in rapid detection owing to their direct image-feature generation using exploit codes.

In this paper, we propose a multiclass ConvNet model to classify exploit kits, where we adopt various image processing techniques and adjust the size and other ...

The Image Game: Exploit Kit Detection. Based on ... We propose a new ConvNet model, i.e., a recursive convolutional neural network ... mance: This ConvNet-based ...

Bibliographic details on The Image Game: Exploit Kit Detection Based on Recursive Convolutional Neural Networks.

The Image Game: Exploit Kit Detection Based on Recursive Convolutional Neural Networks. IEEE Access 8: 18808-18821 (2020). [+][–]. Coauthor network. maximize.

Building upon previous work, this paper presents the first known application of a Long Short-Term Memory (LSTM) network to detect Exploit Kit (EK) traffic, ...

Yoo S., Kim S., Kang B.B., The image game: Exploit kit detection based on recursive convolutional neural networks, IEEE Access 8 (2020) 18808–18821. Google ...