unicorn
unicorn copied to clipboard
unicorn-engine
Collection of papers using Unicorn framework
The number of works using Unicorn is rising. This Wiki page keeps tracks of research papers that rely on our framework.
https://github.com/unicorn-engine/unicorn/wiki/Papers-use-Unicorn-emulator
Feel free to update this Wiki with your works.
QEMU design http://archives.cse.iitd.ernet.in/~sbansal/csl862-virt/2010/readings/bellard.pdf
got my question answers with this awesome memory layout of QEMU.
https://airbus-seclab.github.io/qemu_blog/regions.html
Fast SystemC Processor Models with Unicorn Authors: Lukas Jünger, Jan Henrik Weinstock RAPIDO '19: Proceedings of the Rapid Simulation and Performance Evaluation: Methods and ToolsJanuary 2019 Article No.: 2Pages 1–6https://doi.org/10.1145/3300189.3300191
https://dl.acm.org/doi/abs/10.1145/3300189.3300191
Enabling Parallelized-QEMU for Hardware/Software Co-Simulation Virtual Platforms
Edel Díaz, Raúl Mateos, Emilio J Bueno, Rubén Nieto Electronics 10 (6), 759, 2021
https://www.mdpi.com/2079-9292/10/6/759/htm
Dragonfly: next generation sandbox (QEMU5)
Relatore: Chiar.mo Prof. Marco Prandini Correlatori: Dott. Mag. Davide Berardi, Dott. Mag. Matteo Lodi, Ph.D. Andrea Melis Sessione I Anno Accademico 2019/2020 Presentata d
https://amslaurea.unibo.it/20894/1/Dragonfly%20next%20generation%20sandbox.pdf
Jussi Kurikka Testing Embedded Software in a Simulated Environment (QEMU5)
Master’s Thesis Degree Programme in Computer Science and Engineering January 2022 http://jultika.oulu.fi/files/nbnfioulu-202205121967.pdf
On the Effectiveness of Binary Emulation in Malware Classification
Vasilis Vouvoutsis, Fran Casino, Constantinos Patsakis arXiv preprint arXiv:2204.04084, 2022
https://arxiv.org/abs/2204.04084
Towards laying the foundation of firmware analysis
Muhui Jiang Hong Kong Polytechnic University, 2022
https://theses.lib.polyu.edu.hk/handle/200/11641
LOGICMEM: Automatic Profile Generation for Binary-Only Memory Forensics via Logic Inference
Zhenxiao Qi, Yu Qu, Heng Yin
https://www.ndss-symposium.org/wp-content/uploads/2022-324-paper.pdf
LOGICMEM: Automatic Profile Generation for Binary-Only Memory Forensics via Logic Inference
Zhenxiao Qi, Yu Qu, Heng Yin
https://www.ndss-symposium.org/wp-content/uploads/2022-324-paper.pdf