Full metadata
Title
Exploring the Usage of Drones to Perform Network Reconnaissance and Other Wireless Network Exploitation Methods
Description
Wardriving is when prospective malicious hackers drive with a portable computer to sniff out and map potentially vulnerable networks. With the advent of smart homes and other Internet of Things devices, this poses the possibility of more unsecure targets. The hardware available to the public has also miniaturized and gotten more powerful. One no longer needs to carry a complete laptop to carry out network mapping. With this miniaturization and greater popularity of quadcopter technology, the two can be combined to create a more efficient wardriving setup in a potentially more target-rich environment. Thus, we set out to create a prototype as a proof of concept of this combination. By creating a bracket for a Raspberry Pi to be mounted to a drone with other wireless sniffing equipment, we demonstrate that one can use various off the shelf components to create a powerful network detection device.
In this write up, we also outline some of the challenges encountered by combining these two technologies, as well as the solutions to those challenges. Adding payload weight to drones that are not initially designed for it causes detrimental effects to various characteristics such as flight behavior and power consumption. Less computing power is available due to the miniaturization that must take place for a drone-mounted solution. Communication between the miniature computer and a ground control computer is also essential in overall system operation. Below, we highlight solutions to these various problems as well as improvements that can be implemented for maximum system effectiveness.
Date Created
2022-05
Contributors
- Her, Zachary (Author)
- Walker, Elizabeth (Co-author)
- Gupta, Sandeep (Thesis director)
- Wang, Ruoyu (Committee member)
- Barrett, The Honors College (Contributor)
- Computer Science and Engineering Program (Contributor)
Topical Subject
Resource Type
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Series
Academic Year 2021-2022
Handle
https://hdl.handle.net/2286/R.2.N.165085
System Created
- 2022-04-15 06:36:03
System Modified
- 2022-05-19 05:27:59
- 2 years 6 months ago
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