2026-09-19T04:40:18Zhttps://wakespace.lib.wfu.edu/server/oai/request

oai:null:10339/147552026-09-02T14:21:08Zcom_10339_14934col_10339_38132

Allan, Edward Jr 2008-12-19T15:47:57Z 2010-06-18T18:58:20Z 2008-12-19T15:47:57Z 2010-06-18T18:58:20Z 2008-12-19T15:47:57Z https://wakespace.lib.wfu.edu/handle/10339/14755 Security and management of computer network resources exemplify two critical activities that challenge system administrators. They face potential threats from outside intruders as well as internal users whom already have access to the organization’s assets. It is imperative that administrators are aware of what applications are being executed, but the use of data encryption techniques and non-standard port numbers presents difficulties that must be overcome. To that end, this thesis introduces a novel method to identify application protocols based on the analysis of application graphs, which model application-level communications between computers. The performance of two types of node descriptions, called vertex profiles, are compared. “Traditional” vertex profiles characterize each node using several well-studied graph measures. Furthermore, this work uniquely applies motif-based analysis, which has previously been used primarily in systems biology, to the study of application graphs by creating a second type of vertex profile based on a node’s participation in statistically significant motifs. Machine learning techniques are employed to evaluate the importance of specific profile features. The experimental results, using a nearest-neighbor classifier, show that this type of analysis can correctly classify the applications observed with greater than 80% accuracy. en_US Wake Forest University Computer science Identifying Application Protocols in Computer Networks Using Vertex Profiles Thesis Release the entire work for access only to the Wake Forest University system for one year from the date below. After one year, release the entire work for access worldwide. Errin W. Fulp David J. John William H. Turkett, Jr. Computer Science open.access