Ford Motor Company Limited

Southeast University

Jinfeng Chen

Michael Puleri

Guang Cheng

Kerry Zhang

Hua Wu

Xiaoyan Hu

A method for detecting slow HTTP DoS (SHD) attacks in a backbone network can detect three different types of SHID attacks. The method is divided into an off-line training phase and an on-line detection phase. In the off-line training phase, several types of representative unidirectional traffic features are extracted according to attack characteristics of different SHD types and corresponding feature groups are built, where these features can effectively deal with a large amount of unidirectional traffic in backbone networks; a public backbone network dataset is systematically sampled and data are stored in combination with Count-min Sketch, which greatly minimizes storage and computational overhead required in the backbone networks; and a specific machine learning algorithm is used for training to obtain attack detection models. The method can be used for detecting and warning SHD attacks in mass traffic scenarios such as backbone networks to provide a basis for maintaining network security.

Method for detecting slow HTTP DoS in backbone network

In one or more embodiments, a shielding device is provided to shield a bore of a shaft against surface treatment, the shielding device including a sleeve to be at least partially received within the bore, the sleeve defining on its side wall a through-aperture and being of a first cross-sectional dimension when the through-aperture is at a rest position, and a pin to be at least partially received within the sleeve, the sleeve being of a second cross-sectional dimension greater than the first cross-sectional dimension when the through-aperture is at an expanded position with the pin being at least partially received within the sleeve.

Method and device of surface-treating a metallic part

Growing community of inventors

Nanjing, China

Jinfeng Chen