Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Being able to fingerprint devices and services, i.e., remotely identify running code, is a porful service for both security assessment and inventory management.  describes two novel fingerprinting techniques supported by isomorphic based distances which are adapted for measuring the similarity beten two syntactic trees. The first method leverages the support vector machines paradigm and requires a learning stage. The second method operates in an unsupervised manner thanks to a new classification algorithm derived from the ROCK and QROCK algorithms. It provides an efficient and accurate classification.  highlight the use of such classification techniques for identifying the remote running applications. The approaches are validated through extensive experimentations on SIP (Session Initiation Protocol) for evaluating the impact of the different parameters and identifying the best configuration before applying the techniques to network traces collected by a real operator.
['Jérôme François', 'Humberto Abdelnur', 'Radu State', 'Olivier Festor']
I am writing a research paper on a idea Machine Learning Techniques for Passive Network Inventory
[{"from": "human", "value": "I am writing a research paper on a idea Machine Learning Techniques for Passive Network Inventory"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Being able to fingerprint devices and services, i.e., remotely identify running code, is a porful service for both security assessment and inventory management.  describes two novel fingerprinting techniques supported by isomorphic based distances which are adapted for measuring the similarity beten two syntactic trees. The first method leverages the support vector machines paradigm and requires a learning stage. The second method operates in an unsupervised manner thanks to a new classification algorithm derived from the ROCK and QROCK algorithms. It provides an efficient and accurate classification.  highlight the use of such classification techniques for identifying the remote running applications. The approaches are validated through extensive experimentations on SIP (Session Initiation Protocol) for evaluating the impact of the different parameters and identifying the best configuration before applying the techniques to network traces collected by a real operator."}]