Multimedia transmission rules and encrypted audio and video traffic identification algorithm implemented in P4
| dc.contributor.author | Lu, Jiping, author | |
| dc.contributor.author | Partridge, Craig, advisor | |
| dc.contributor.author | Gersch, Joseph, committee member | |
| dc.contributor.author | Hayne, Stephen, committee member | |
| dc.date.accessioned | 2021-09-06T10:24:49Z | |
| dc.date.available | 2021-09-06T10:24:49Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | With Internet traffic exponentially growing, it is critical for operators to identify voice call and video conference traffic and ensure their quality. Yet, the widespread deployment of encryption protocols makes it challenging to classify encrypted traffic. This research achieves a significant discovery of audio and video traffic transmission rules. Based on the rules, this paper proposes a general audio and video traffic identification algorithm. In order to evaluate this algorithm's performance, we designed and implemented an audio and video traffic identification algorithm in P4 (Programming Protocol-Independent Packet Processors). This promising research reveals that this algorithm achieves 98.98% accuracy on voice call identification. For video conferences, this algorithm achieves 96.24% accuracy on audio data identification and 88.75% accuracy on video data identification. Compared to current pervasive machine learning-based traffic classification approaches, this innovative algorithm bypasses complicated machine learning processes by directly applying audio and video traffic transmission rules on network functions, consuming less computation and memory resources. | |
| dc.format.medium | born digital | |
| dc.format.medium | masters theses | |
| dc.identifier | Lu_colostate_0053N_16677.pdf | |
| dc.identifier.uri | https://hdl.handle.net/10217/233719 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2020- | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.subject | encrypted voice and video traffic identification | |
| dc.subject | audio and video traffic transmission rules | |
| dc.subject | multimedia traffic identification and classification | |
| dc.title | Multimedia transmission rules and encrypted audio and video traffic identification algorithm implemented in P4 | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Computer Science | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science (M.S.) |
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