Application Traffic Identification Speed Improvement by Optimizing Payload Signature Matching Sequence

Matching of Polygon Objects by Optimizing Geometric Criteria

Despite the semantic criteria, geometric criteria have different performances on polygon feature matching in different vector datasets. By using these criteria for measuring the similarity of two polygons in all matchings, the same results would not have been obtained. To achieve the best matching results, the determination of optimal geometric criteria for each dataset is considered necessary....

A Lightweight Software Model for Signature-Based Application-Level Traffic Classification System

SUMMARY Internet traffic classification is an essential step for stable service provision. The payload signature classifier is considered a reliable method for Internet traffic classification but is prohibitively compu-tationally expensive for real-time handling of large amounts of traffic on high-speed networks. In this paper, we describe several design techniques to minimize the search space ...

Header signature maintenance for Internet traffic identification

Int J Network Mgmt 2016; 1–15 Summary Various traffic identification methods have been proposed with the focus on application‐level traffic analysis. Header signature–based identification using the 3‐tuple (Internet Protocol address, port number, and L4 protocol) within a packet header has garnered a lot of attention because it overcomes the limitations faced by the payload‐based method, such a...

Waterfall Traffic Identification: Optimizing Classification Cascades

Application Traffic Classification using PSS Signature

Recently, network traffic has become more complex and diverse due to the emergence of new applications and services. Therefore, the importance of application-level traffic classification is increasing rapidly, and it has become a very popular research area. Although a lot of methods for traffic classification have been introduced in literature, they have some limitations to achieve an acceptabl...