Skip to content
/ DrLLM Public

[ICASSP'25]DrLLM: Prompt-Enhanced Distributed Denial-of-Service Resistance Method with Large Language Models

License

Notifications You must be signed in to change notification settings

liuup/DrLLM

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

DrLLM

This is the offical Github repo of paper 'DrLLM: Prompt-Enhanced Distributed Denial-of-Service Resistance Method with Large Language Models'.
Author: Zhenyu Yin*, Shang Liu, Guangyuan Xu.

Overview

Where to apply the API keys

  1. OpenAI
    Follow the https://platform.openai.com/docs/overview
    For Chinese users, we recommend you to apply the third-platform API keys to ensure the network stable.

  2. Meta Llama
    Follow the https://dashscope.console.aliyun.com/overview, A.K.A. Dashscope.

  3. Alibaba Qwen
    Follow the https://dashscope.console.aliyun.com/overview, A.K.A. Dashscope.

  4. DeepSeek
    Follow the https://www.deepseek.com/

Core Prompt Exmaples

Too long to show it, see the prompt example at prompts.

Run the code

  1. Clone this repo
    git clone https://github.com/liuup/DrLLM
    
  2. Apply the API keys as mentioned above.
  3. Concat multiple datasets -> 1_concat.ipynb
  4. Role Reasoning by LLMs -> 2_role_reasoning.ipynb
  5. Clean the output -> 3_clean.ipynb

Cite

If you have any questions, please create a issue or feel free to email [email protected] and if you find our paper/code is useful, please cite our paper.

@misc{yin2024drllmpromptenhanceddistributeddenialofservice,
      title={DrLLM: Prompt-Enhanced Distributed Denial-of-Service Resistance Method with Large Language Models}, 
      author={Zhenyu Yin and Shang Liu and Guangyuan Xu},
      year={2024},
      eprint={2409.10561},
      archivePrefix={arXiv},
      primaryClass={cs.CR},
      url={https://arxiv.org/abs/2409.10561}, 
}

About

[ICASSP'25]DrLLM: Prompt-Enhanced Distributed Denial-of-Service Resistance Method with Large Language Models

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published