MSFA: Multiple System Fingerprint Attack Scheme for IoT Anonymous Communication

Guangheng Dong ,Huiyang Li,Xiaoyan Zhang,Jiao Zhang,Ting Meng,Chao Li,Tianbo Lu

doi:10.1155/2019/9078176

Abstract

For the past few years, Internet of Things (IoT) has developed rapidly and been extensively used. However, its transmission security and privacy protection are insufficient, which limits the development of IoT to a certain extent. As a technology of IoT information transmission, anonymous communication technology comes into being as an important means to ensure the security of healthcare data, which can better protect users’ privacy in some ways. Nowadays, a variety of attack techniques for anonymous communication systems have been proposed by the academic community to track senders and receivers or discover communications between two users. Thus, the MSFA (Multiple System Fingerprint Attack) scheme for anonymous communication systems is presented in this paper where the MSFA scheme architecture, implementation in the Tor environment, and experimental data processing are described. Through a comparative analysis between two traces of visiting the same website based on the edit distance, it is shown that the longer the length of the site traffic data, the greater the edit distance of the site access traffic and the larger the range.

Highlights

A great number of research achievements have been gained about anonymous communication systems in the past 40 years
Mingshan Xie et al [3] proposed the anonymization protection algorithm which is suitable for the data exchange in an incompletely open manner for the ego of data in the Internet of Things (IoT)
The EXCHANge protocol [4], a cryptoless over-the-air key establishment multiround protocol based on sender/receiver anonymity, was conceived to secure IoT networks based on the IEEE 802.15.4 communication technology

Summary

Introduction

A great number of research achievements have been gained about anonymous communication systems in the past 40 years. Amin et al [2] proposed the architecture of a patient monitoring system in WMSN (wireless medical sensor network) and designed an anonymous mutual authentication protocol suitable for mobile users to provide secure access and privacy for patient data. Passive traffic analysis attack techniques are used that only require an attacker to configure a network environment similar to a regulator and access the target site using the same encryption proxy technology. Fingerprint attack technique identifies whether the sender communicates with a particular recipient by collecting the sender or receiving the feature information of both. Our contributions are as follows: based on the CAI fingerprint attack prototype [11], we propose the MSFA fingerprint attack scheme in three aspects, namely, MSFA scheme architecture and module design, the implementation of MSFA scheme in Tor anonymous communication network, and the capture of the original traffic information and data processing

CAI Fingerprint Attack Scheme

MSFA Attack Scheme

Implementation and Evaluation

Findings

Conclusion