Masters Theses
Keywords and Phrases
Cyber Security; Internet-of-Things; Natural Language Processing
Abstract
“The use of Internet-of-Things (IoT) devices has increased a considerable amount in recent years due to decreasing cost and increasing availability of transistors, semiconductor, and other components. Examples can be found in daily life through smart cities, consumer security cameras, agriculture sensors, and more. However, Cyber Security in these IoT devices are often an afterthought making these devices susceptible to easy attacks. This can be due to multiple factors. An IoT device is often in a smaller form factor and must be affordable to buy in large quantities; as a result, IoT devices have less resources than a typical computer. This includes less processing power, battery power, and random access memory (RAM). This limits the possibilities of traditional security in IoT devices.
To help evaluate the state of IoT devices and further enforce them, we present an easy to use program that requires little to no prior knowledge of the target infrastructure. The process is a Man-in-the-Middle (MITM) attack that hijacks packets sent between IoT devices using the popular MQTT protocol. We do this by using a WiFi Pineapple from Hak5, in the device’s raw form, is a WiFi access point with specific offensive capabilities installed as software. We then pass these packets into a custom General Adversarial Network (GAN) that utilizes a Natural Language Processing (NLP) model to generate a malicious message. Once malicious messages are generated, the messages are passed back to the WiFI Pineapple and sent as a legitimate packet among the network.
We then look at the efficiency of these malicious messages through different NLP algorithms. In this particular work, we analyze an array of BERT variants and GPT-2”--Abstract, page iv.
Advisor(s)
Leopold, Jennifer
Committee Member(s)
Fu, Yanjie
Taylor, Patrick
Tripathy, Ardhendu S.
Department(s)
Computer Science
Degree Name
M.S. in Computer Science
Publisher
Missouri University of Science and Technology
Publication Date
Spring 2022
Journal article titles appearing in thesis/dissertation
- Man-in-the-Middle Attacks on MQTT-based IoT using BERT Based Adversarial Message Generation
- GAN and Adversarial NLP Models for Man-in-the-Middle Attacks on MQTT-based IoT Networks
Pagination
x, 59 pages
Note about bibliography
Includes bibliographic references.
Rights
© 2022 Henry Chiyang Wong, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Thesis Number
T 12141
Recommended Citation
Wong, Henry C., "Man-in-the-Middle Attacks on MQTT based IoT networks" (2022). Masters Theses. 8102.
https://scholarsmine.mst.edu/masters_theses/8102