Hostapd-mac-tod-acl - Setup a hostapd AP with MAC ToD ACL

Overview

A brief explanation

This script provides a quick way to setup a Time-of-day (Tod) Access Control List (ACL) for a Hostapd Wifi Access Point.

It uses the hostapd-cli's whitelist to only allow certain MAC addresses to join the AP.

Setup

The following

  1. Install python 3 or above & hostapd

  2. Make a Wifi AP with hostapd, enable hostapd_cli and MAC whitelist by adding to the config:

     macaddr_acl=0
     accept_mac_file=/etc/hostapd/hostapd.accept
     ctrl_interface=/var/run/hostapd
     ctrl_interface_group=0
    
  3. Place the following files inside /etc/hostapd/:

    • hostapd.accept
    • mac-time-of-day-acces.py
  4. Configure crontab ($ sudo crontab -u root -e) with the following rule to execute the script every minute:

     * * * * * python /etc/hostapd/mac-time-of-day-access.py
    
  5. Set your time of day MAC based filters with the file mac-time-filter.json

mac-time-filter.json

Format

{
	"mac": [
		["start (H:M:S)", "end (H:M:S)"],
		…
	],
	…
}

Example

{
	"48:01:C5:76:14:53": [
		["10:00:00","12:00:00"],
		["16:00:00","21:30:00"]
	]
}
You might also like...
Code for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021

This repo provides the code of the following papers: (GAR) "Generation-Augmented Retrieval for Open-domain Question Answering", ACL 2021 (RIDER) "Read

LV-BERT: Exploiting Layer Variety for BERT (Findings of ACL 2021)

LV-BERT Introduction In this repo, we introduce LV-BERT by exploiting layer variety for BERT. For detailed description and experimental results, pleas

ACL'2021: Learning Dense Representations of Phrases at Scale
ACL'2021: Learning Dense Representations of Phrases at Scale

DensePhrases DensePhrases is an extractive phrase search tool based on your natural language inputs. From 5 million Wikipedia articles, it can search

Kerberoast with ACL abuse capabilities
Kerberoast with ACL abuse capabilities

targetedKerberoast targetedKerberoast is a Python script that can, like many others (e.g. GetUserSPNs.py), print "kerberoast" hashes for user accounts

A PyTorch implementation of paper
A PyTorch implementation of paper "Learning Shared Semantic Space for Speech-to-Text Translation", ACL (Findings) 2021

Chimera: Learning Shared Semantic Space for Speech-to-Text Translation This is a Pytorch implementation for the "Chimera" paper Learning Shared Semant

ADCS cert template modification and ACL enumeration

Purpose This tool is designed to aid an operator in modifying ADCS certificate templates so that a created vulnerable state can be leveraged for privi

(ACL 2022) The source code for the paper
(ACL 2022) The source code for the paper "Towards Abstractive Grounded Summarization of Podcast Transcripts"

Towards Abstractive Grounded Summarization of Podcast Transcripts We provide the source code for the paper "Towards Abstractive Grounded Summarization

Code for Findings of ACL 2022 Paper "Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors"

SWRM Code for Findings of ACL 2022 Paper "Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors" Clone Clone th

Releases(v1.0)
Recognition of 38 speech commands in russian. Based on Yandex Cup 2021 ML Challenge: ASR

Speech_38_ru_commands Recognition of 38 speech commands in russian. Based on Yandex Cup 2021 ML Challenge: ASR Программа умеет распознавать 38 ключевы

Andrey 9 May 05, 2022
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

Bethge Lab 61 Dec 21, 2022
A Non-Autoregressive Transformer based TTS, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS.

A Non-Autoregressive Transformer based TTS, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to ach

Keon Lee 237 Jan 02, 2023
A CRM department in a local bank works on classify their lost customers with their past datas. So they want predict with these method that average loss balance and passive duration for future.

Rule-Based-Classification-in-a-Banking-Case. A CRM department in a local bank works on classify their lost customers with their past datas. So they wa

ÖMER YILDIZ 4 Mar 20, 2022
SAINT PyTorch implementation

SAINT-pytorch A Simple pyTorch implementation of "Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing" based on https://arx

Arshad Shaikh 63 Dec 25, 2022
MASS: Masked Sequence to Sequence Pre-training for Language Generation

MASS: Masked Sequence to Sequence Pre-training for Language Generation

Microsoft 1.1k Dec 17, 2022
2021搜狐校园文本匹配算法大赛baseline

sohu2021-baseline 2021搜狐校园文本匹配算法大赛baseline 简介 分享了一个搜狐文本匹配的baseline,主要是通过条件LayerNorm来增加模型的多样性,以实现同一模型处理不同类型的数据、形成不同输出的目的。 线下验证集F1约0.74,线上测试集F1约0.73。

苏剑林(Jianlin Su) 45 Sep 06, 2022
Synthetic data for the people.

zpy: Synthetic data in Blender. Website • Install • Docs • Examples • CLI • Contribute • Licence Abstract Collecting, labeling, and cleaning data for

Zumo Labs 253 Dec 21, 2022
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

GenSen Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning Sandeep Subramanian, Adam Trischler, Yoshua B

Maluuba Inc. 309 Oct 19, 2022
WikiPron - a command-line tool and Python API for mining multilingual pronunciation data from Wiktionary

WikiPron WikiPron is a command-line tool and Python API for mining multilingual pronunciation data from Wiktionary, as well as a database of pronuncia

213 Jan 01, 2023
A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.

MedMCQA MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering A large-scale, Multiple-Choice Question Answe

MedMCQA 24 Nov 30, 2022
BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese

Table of contents Introduction Using BARTpho with fairseq Using BARTpho with transformers Notes BARTpho: Pre-trained Sequence-to-Sequence Models for V

VinAI Research 58 Dec 23, 2022
SimpleChinese2 集成了许多基本的中文NLP功能,使基于 Python 的中文文字处理和信息提取变得简单方便。

SimpleChinese2 SimpleChinese2 集成了许多基本的中文NLP功能,使基于 Python 的中文文字处理和信息提取变得简单方便。 声明 本项目是为方便个人工作所创建的,仅有部分代码原创。

Ming 30 Dec 02, 2022
The SVO-Probes Dataset for Verb Understanding

The SVO-Probes Dataset for Verb Understanding This repository contains the SVO-Probes benchmark designed to probe for Subject, Verb, and Object unders

DeepMind 20 Nov 30, 2022
Multi Task Vision and Language

12-in-1: Multi-Task Vision and Language Representation Learning Please cite the following if you use this code. Code and pre-trained models for 12-in-

Meta Research 711 Jan 08, 2023
Official code for "Parser-Free Virtual Try-on via Distilling Appearance Flows", CVPR 2021

Parser-Free Virtual Try-on via Distilling Appearance Flows, CVPR 2021 Official code for CVPR 2021 paper 'Parser-Free Virtual Try-on via Distilling App

395 Jan 03, 2023
Create a semantic search engine with a neural network (i.e. BERT) whose knowledge base can be updated

Create a semantic search engine with a neural network (i.e. BERT) whose knowledge base can be updated. This engine can later be used for downstream tasks in NLP such as Q&A, summarization, generation

Diego 1 Mar 20, 2022
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Tensor2Tensor Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and ac

12.9k Jan 07, 2023
Code for Findings at EMNLP 2021 paper: "Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning"

Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning This repo is for Findings at EMNLP 2021 paper: Learn Cont

INK Lab @ USC 6 Sep 02, 2022
vits chinese, tts chinese, tts mandarin

vits chinese, tts chinese, tts mandarin 史上训练最简单,音质最好的语音合成系统

AmorTX 12 Dec 14, 2022