.png){kind=icon}
返回
Reverse Engineering IoT Devices: Effective Techniques and Methods
.png){kind=icon}
PRE
AI
DOI：10.1109/JIOT.2018.2875240.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Recent Internet of Things (IoT) botnet attacks have called the attention to the fact that there are many vulnerable IoT devices connected to the Internet today. Some of these Web-connected devices lack even basic security practices such as strong password authentication. As a consequence, many IoT devices are already infected with malware and many more are vulnerable to exploitation. In this paper we analyze the security level of 16 popular IoT devices. We evaluate several low-cost black-box techniques for reverse engineering these devices, including software and fault injection-based techniques used to bypass password protection. We use these techniques to recover device firmware and passwords. We also discover several common design flaws which lead to previously unknown vulnerabilities. We demonstrate the effectiveness of our approach by modifying a laboratory version of the Mirai botnet to automatically add these devices to a botnet. We also discuss how to improve the security of IoT devices without significantly increasing their cost or affecting their usability.
Keyword:
Computer security
Internet of Things (IoT)
IoT application design
IoT standardization
IoT system architecture
IoT test-bed
privacy
reverse engineering
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
8.9
论文数:
1.4W
被引数:
7.8W
机构
引用论文
Noninvasive Diagnosis of Gastric Cancer Based on Breath Analysis with a Tubular Surface-Enhanced Raman Scattering Sensor基于管状表面增强拉曼散射传感器的呼吸分析对胃癌的无创诊断.png)
ACS Sensors
ACS SensorsIF0
PREAI
分享收藏
分享收藏分享收藏
查看更多内容