| Title | Exploring features of HTTP responses for the classification of devices on the Internet |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Lavrenovs, Arturs, Visky, Gabor |
| Conference Name | 2019 27th Telecommunications Forum (℡FOR) |
| Date Published | nov |
| Keywords | automated classification, Automated Response Actions, composability, computer network security, devices on the Internet, future classification, HTTP, HTTP response features, HTTP responses, Internet, learning (artificial intelligence), manually labelling training sets, neural nets, Neural Network, pattern classification, pubcrawl, Resiliency, security researchers, static rules, web interfaces |
| Abstract | Devices that are connected to the Internet are very interesting to security researchers as are at high risk of being attacked, compromised or otherwise abused. To investigate the root causes of the risks it is necessary to understand what classes of devices are affected in different ways. These devices are heterogeneous, thus making it impractical to classify large sets by applying static rules. We propose improvements for manually labelling training sets using HTTP response features for future classification using a neural network. |
| DOI | 10.1109/℡FOR48224.2019.8971100 |
| Citation Key | lavrenovs_exploring_2019 |
Exploring features of HTTP responses for the classification of devices on the Internet