Date Approved
11-20-2020
Embargo Period
11-24-2020
Document Type
Thesis
Degree Name
M.S. Computer Science
Department
Computer Science
College
College of Science & Mathematics
Advisor
Heydari, Vahid
Committee Member 1
Qiu, Chenxi
Committee Member 2
McKee, Patrick
Keywords
Covert channel, Hash functions, Moving target, Network steganography, Permutations, Storage channel network steganography
Subject(s)
Cryptography; Computer networks
Disciplines
Computer Sciences | Information Security
Abstract
A branch of information hiding that has gained traction in recent years is network steganography. Network steganography uses network protocols are carriers to hide and transmit data. Storage channel network steganography manipulates values in protocol header and data fields and stores covert data inside them. The timing channel modulates the timing of events in the protocol to transfer covert information. Many current storage channel network steganography methods have low bandwidths and they hide covert data directly into the protocol which allows discoverers of the channel to read the confidential information. A new type of storage channel network steganography method is proposed and implemented which abstracts the idea of hiding data inside the network protocol. The addition of a moving target mechanism rotates the locations of data to be evaluated preventing brute force attacks. The bandwidth of the algorithm can also be controlled by increasing or decreasing the rate of packet transmission. A proof of concept is developed to implement the algorithm. Experimental run times are compared with their theoretical equivalents to compare the accuracy of the proof of concept. Detailed probability and data transfer analysis is performed on the algorithm to see how the algorithm functions in terms of security and bandwidth. Finally, a detection and mitigation analysis is performed to highlight the flaws with the algorithm and how they can be improved.
Recommended Citation
Soni, Tapan, "Moving target network steganography" (2020). Theses and Dissertations. 2850.
https://rdw.rowan.edu/etd/2850