MobiWear: A Plausibly Deniable Encryption System for Wearable Mobile Devices

MobiWear: A Plausibly Deniable Encryption System for Wearable Mobile Devices
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DOI:
10.1007/978-3-030-80851-8_10
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发表时间:
2021-05
期刊:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
影响因子:
--
通讯作者:
Niusen Chen;Bo Chen;Weisong Shi
Niusen Chen;Bo Chen;Weisong Shi
中科院分区:
其他
文献类型:
--
作者:
Niusen Chen;Bo Chen;Weisong Shi

文献摘要

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移动计算设备广泛应用于我们的日常生活中。随着移动设备使用量的增加,大量的敏感数据被收集、存储和管理在移动设备中。为了保护敏感数据,通常使用加密,但传统的加密很容易受到强制攻击,在这种攻击中,设备所有者会被攻击者胁迫透露解密密钥。为了防御强制攻击,可信可否认加密(PDE)被设计成允许受害者用户否认隐藏的敏感数据的存在。PDE系统已经在智能手机上得到了广泛的探索。然而,目前文献中还缺乏适用于可穿戴移动设备的PDE系统,本文设计了第一个专门针对可穿戴移动设备的PDE系统。为了适应可穿戴设备的硬件性质,1)使用图像隐写来实现PDE,这适合资源有限的可穿戴设备;2)依靠配备可穿戴设备的各种传感器来输入密码,而不是要求用户通过键盘或触摸屏输入密码。使用真实世界的原型(移植到LG G智能手表上)进行的安全分析和实验评估表明,该算法可以在较小的计算开销和较小的图像质量下降的情况下确保可否认性。
Mobile computing devices are widely used in our daily life. With their increased use, a large amount of sensitive data are collected, stored, and managed in the mobile devices. To protect sensitive data, encryption is often used but, traditional encryption is vulnerable to coercive attacks in which the device owner is coerced by the adversary to disclose the decryption key. To defend against the coercive attacks, Plausibly Deniable Encryption (PDE) has been designed which can allow the victim user to deny the existence of hidden sensitive data. The PDE systems have been explored broadly for smartphones. However, the PDE systems which are suitable for wearable mobile devices are still missing in the literature.In this work, we design, the first PDE system specifically for wearable mobile devices. To accommodate the hardware nature of wearable devices,: 1) uses image steganography to achieve PDE, which suits the resource-limited wearable devices; and 2) relies on various sensors equipped with the wearable devices to input passwords, rather than requiring users to enter them via a keyboard or a touchscreen. Security analysis and experimental evaluation using a real-world prototype (ported to an LG G smartwatch) show thatcan ensure deniability with a small computational overhead as well as a small decrease of image quality.