Haven

Haven is for people who need a way to protect their personal spaces and possessions without compromising their own privacy. It is an Android application that leverages on-device sensors to provide monitoring and protection of physical spaces. Haven turns any Android phone into a motion, sound, vibration and light detector, watching for unexpected guests and unwanted intruders. We designed Haven for investigative journalists, human rights defenders, and people at risk of forced disappearance to create a new kind of herd immunity. By combining the array of sensors found in any smartphone, with the world’s most secure communications technologies, like Signal and Tor, Haven prevents the worst kind of people from silencing citizens without getting caught in the act.

We are announcing Haven today, as an open-source project, along a public beta release of the app. We are looking for contributors who understand that physical security is as important as digital, and who have an understanding and compassion for the kind of threats faced by the users and communities we want to support. We also think it is really cool, cutting edge, and making use of encrypted messaging and onion routing in whole new ways. We believe Haven points the way to a more sophisticated approach to securing communication within networks of things and home automation system.

Project Team

Haven was developed through a collaboration between Freedom of the Press Foundation and Guardian Project.

Safety through Sensors

Haven only saves images and sound when triggered by motion or volume, and stores everything locally on the device. You can position the device’s camera to capture visible motion, or set your phone somewhere discreet to just listen for noises. Get secure notifications of intrusion events instantly and access the logs remotely or anytime later.

The follow sensors are monitored for a measurable change, and then recorded to an event log on the device:

* Accelerometer: phone’s motion and vibration

* Camera: motion in the phone’s visible surroundings from front or back camera

* Microphone: noises in the enviroment

* Light: change in light from ambient light sensor

* Power: detect device being unplugged or power loss

ATTRIBUTIONS

This project contains source code or library dependencies from the follow projects:

SecureIt project available at: https://github.com/mziccard/secureit Copyright (c) 2014 Marco Ziccardi (Modified BSD)

libsignal-service-java from Open Whisper Systems: https://github.com/WhisperSystems/libsignal-service-java (GPLv3)

signal-cli from AsamK: https://github.com/AsamK/signal-cli (GPLv3)

Sugar ORM from chennaione: https://github.com/chennaione/sugar/ (MIT)

Square’s Picasso: https://github.com/square/picasso (Apache 2)

JayDeep’s AudioWife: https://github.com/jaydeepw/audio-wife (MIT)

AppIntro: https://github.com/apl-devs/AppIntro (Apache 2)

Guardian Project’s NetCipher: https://guardianproject.info/code/netcipher/ (Apache 2)

NanoHttpd: https://github.com/NanoHttpd/nanohttpd (BSD)

Milosmns’ Actual Number Picker: https://github.com/milosmns/actual-number-picker (GPLv3)

Fresco Image Viewer: https://github.com/stfalcon-studio/FrescoImageViewer (Apache 2)

Facebook Fresco Image Library: https://github.com/facebook/fresco (BSD)

Audio Waveform Viewer: https://github.com/derlio/audio-waveform (Apache 2)

FireZenk’s AudioWaves: https://github.com/FireZenk/AudioWaves (MIT)

MaxYou’s SimpleWaveform: https://github.com/maxyou/SimpleWaveform (MIT)

纽黑文是谁需要一种方式来保护他们的个人空间和财产不影响自己的隐私的人。它是一个Android应用程序，它利用设备上的传感器，以提供监控和物理空间的保护。纽黑文将任何Android手机变成一个动作，声音，振动和光检测器，看对不速之客和有害入侵者的威胁。我们设计的避风港调查记者，人权捍卫者，以及人强迫失踪的风险来创建一个新的群体免疫的。通过结合在任何智能手机中的传感器阵列，与世界上最安全的通信技术，例如信号和Tor的，避风港防止最坏的那种人沉默不公民陷入的行为。

今天，我们宣布天堂，作为一个开源项目，以及应用程序的公开测试版。我们正在寻找谁知道，物理安全是数字的重要因素，谁拥有的那种面对，我们要支持用户和社区的威胁的理解和同情。我们也认为这是真的很酷，前沿，并利用加密消息和洋葱路由以全新的方式。我们认为纽黑文指明了道路更复杂的方法来的东西和家庭自动化系统网络中的通信安全。

项目团队

纽黑文是通过新闻基金会和监护人项目的自由之间的合作开发。

通过传感器安全

当运动或体积触发避风港不仅节省了图像和声音，并在设备上本地存储的一切。您可以定位设备的摄像头捕捉可见的运动，或将您的电话谨慎的地方，只是听声音。获取入侵事件的安全通知，即时，远程或以后任何时间访问日志。

后续传感器为可测量的变化来监测，然后记录到设备上的事件日志中：

    *加速度：手机的运动和振动

    *相机：从正面或背面相机手机的可视环境运动

    *麦克风：噪音的环境

    *灯：在光从环境光传感器的变化

    *电源：检测设备被拔出或功率损耗

归属

该项目包含后续的项目源代码或库的依赖关系：

    项目了SecureIT提供：https://github.com/mziccard/secureit版权所有（C）听英语马尔科齐卡尔迪（修改BSD）

    从开放式耳语系统libsignal服务的Java：https://github.com/WhisperSystems/libsignal-service-java（GPLv3的）

    信号-CLI从AsamK：https://github.com/AsamK/signal-cli（GPL第三版）

    糖ORM从chennaione：https://github.com/chennaione/sugar/（MIT）

    广场的毕加索：https://github.com/square/picasso（阿帕奇2）

    JayDeep的AudioWife：https://github.com/jaydeepw/audio-wife（MIT）

    AppIntro：https://github.com/apl-devs/AppIntro（阿帕奇2）

    卫报项目的NetCipher：https://guardianproject.info/code/netcipher/（阿帕奇2）

    NanoHttpd：https://github.com/NanoHttpd/nanohttpd（BSD）

    Milosmns’实际数量选择器：https://github.com/milosmns/actual-number-picker（GPLv3的）

    壁画图像浏览器：https://github.com/stfalcon-studio/FrescoImageViewer（阿帕奇2）

    Facebook的壁画图像库：https://github.com/facebook/fresco（BSD）

    音频波形查看器：https://github.com/derlio/audio-waveform（阿帕奇2）

    FireZenk的AudioWaves：https://github.com/FireZenk/AudioWaves（MIT）

    MaxYou的SimpleWaveform：https://github.com/maxyou/SimpleWaveform（MIT）