I wish to analyse the vulnerabilities which are found on smart devices found through machine learning techniques. Description of project to follow:
Specifically beginning with a fingerprinting method to gather publically available IoT devices that are online. Identify and verify they are IoT – whether it is based on protocols, ports or a combination of parameters for identification. (product manuals for devices will give details on what is of importance for each)
- From dataset, using a signature and or classification based machine learning algorithm to do the following.
§ Create classifier which works with a dataset, analysis of this dataset giving results of if IoT devices are secure or not.
§ Classify a range of security levels – A scale of security included which analyses the devices found and from that, giving results from 0-5 Vulnerabilities (0 – secure, 1 – moderately secure, 2 – Substantial, 3 – Severely insecure, 4 – Critically insecure)
§ Results include the above 0-4, and, the insecurity found ( ie. It uses ‘xyz’ protocol which is insecure leading it into the ‘xyz’ category. (Category meaning security/vulnerability level of 0-4)
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11 freelancer đang chào giá trung bình €265 cho công việc này
I wish to analyse the vulnerabilities which are found on smart devices found through machine learning techniques. Description of project to follow: Specifically beginning with a fingerprinting metho... Read More
I DO NOT OUTSOURCE I have been a freelancer for the past 8 years, I believe that my experience and skill in this background will prove to be of great help to you. Contact me to discuss more on the details
Hello, I have read the details provided and i am positive i can provide quality work,please contact me to discuss more on the project deadline and some other few things