Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recent spates of cyber-attacks and frequent emergence of applications affecting Internet traffic dynamics have made it imperative to develop effective techniques that can extract, and make sense of, significant communication patterns from Internet traffic data for use in network operations and security management. ,  present a general methodology for building comprehensive behavior profiles of Internet backbone traffic in terms of communication patterns of end-hosts and services. Relying on data mining and information-theoretic techniques, the methodology consists of significant cluster extraction, automatic behavior classification and structural modeling for in-depth interpretive analyses.  validate the methodology using data sets from the core of the Internet. The results demonstrate that it indeed can identify common traffic profiles as ll as anomalous behavior patterns that are of interest to network operators and security analysts.
['Kuai Xu', 'Zhi Li Zhang', 'Supratik Bhattacharyya']
I am writing a research paper on a idea Profiling internet backbone traffic: behavior models and applications
[{"from": "human", "value": "I am writing a research paper on a idea Profiling internet backbone traffic: behavior models and applications"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recent spates of cyber-attacks and frequent emergence of applications affecting Internet traffic dynamics have made it imperative to develop effective techniques that can extract, and make sense of, significant communication patterns from Internet traffic data for use in network operations and security management. ,  present a general methodology for building comprehensive behavior profiles of Internet backbone traffic in terms of communication patterns of end-hosts and services. Relying on data mining and information-theoretic techniques, the methodology consists of significant cluster extraction, automatic behavior classification and structural modeling for in-depth interpretive analyses.  validate the methodology using data sets from the core of the Internet. The results demonstrate that it indeed can identify common traffic profiles as ll as anomalous behavior patterns that are of interest to network operators and security analysts."}]