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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

DawnGNN: Documentation augmented Windows malware detection using graph neural network

Published in Computers & Security, 2024

We introduce DawnGNN, a novel Windows malware detection framework leveraging official API documentation and graph neural networks. It converts API sequences into graphs, encodes API descriptions using BERT, and employs a Graph Attention Network for detection. Tested on three datasets, DawnGNN demonstrates enhanced detection capabilities, showcasing the value of API documentation in malware analysis.

Recommended citation: Pengbin Feng, Le Gai, Li Yang, Qin Wang, Teng Li, Ning Xi, Jianfeng Ma. " DawnGNN: Documentation augmented Windows malware detection using graph neural network." Computers & Security. 2024: 103788.
Download Paper

Fast Calculation of National Commercial Cryptographic Algorithm Based on RISC-V Processing Core

Published in ChinaSoft 2024, 2024

The project implements and optimizes the national cryptographic algorithms on a domestic RISC-V platform, achieving both software and hardware acceleration. It optimizes the critical computational steps of bilinear pairing and elliptic curves at the instruction level, designs cryptographic processing units for point multiplication and modular exponentiation respectively, and ultimately accelerates the computation of the national cryptographic algorithms.

Recommended citation: Ning Zhang, Le Gai, Pengbin Feng. "Fast Calculation of National Commercial Cryptographic Algorithm Based on RISC-V Processing Core." ChinaSoft 2024.

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.