Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Intrusion detection is a key technology for self-healing systems designed to prevent or manage damage caused by security threats. Protecting b server-based applications using intrusion detection is challenging, especially when autonomy is required (i.e., without signature updates or extensive administrative overhead). b applications are difficult to protect because they are large, complex, highly customized, and often created by programmers with little security background. Anomaly-based intrusion detection has been proposed as a strategy to meet these requirements.  describes how DFA (Deterministic Finite Automata) induction can be used to detect malicious b requests. The method is used in combination with rules for reducing variability among requests and heuristics for filtering and grouping anomalies. With this setup a wide variety of attacks is detectable with few false-positives, even when the system is trained on data containing benign attacks (e.g., attacks that fail against properly patched servers).
['Kenneth L. Ingham', 'Anil Somayaji', 'John Burge', 'Stephanie Forrest']
I am writing a research paper on a idea Learning DFA representations of HTTP for protecting web applications
[{"from": "human", "value": "I am writing a research paper on a idea Learning DFA representations of HTTP for protecting web applications"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Intrusion detection is a key technology for self-healing systems designed to prevent or manage damage caused by security threats. Protecting b server-based applications using intrusion detection is challenging, especially when autonomy is required (i.e., without signature updates or extensive administrative overhead). b applications are difficult to protect because they are large, complex, highly customized, and often created by programmers with little security background. Anomaly-based intrusion detection has been proposed as a strategy to meet these requirements.  describes how DFA (Deterministic Finite Automata) induction can be used to detect malicious b requests. The method is used in combination with rules for reducing variability among requests and heuristics for filtering and grouping anomalies. With this setup a wide variety of attacks is detectable with few false-positives, even when the system is trained on data containing benign attacks (e.g., attacks that fail against properly patched servers)."}]