Huawei Technologies Co., Limited

Shanghai Jiaotong University

Cunqing Hua

Jing Liu

Tingting Wang

Yue Wu

Jianhua Li

Guangtao Xue

Futai Zou

Weidong Qiu

Yongkang Jiang

Ping Yi

The present disclosure provides a large-scale malware classification system, comprising a client for unloading malware and a server for receiving and classifying the malware, wherein the server comprises a deep learning module for classifying the malware.

Large-scale malware classification system

Embodiments of the present invention provide a communication method and a communications device. The method includes: obtaining, by a first access network device, a first data block; performing network coding on the first data block to generate a plurality of first encoded data blocks; and performing, by the first access network device, offload processing on at least one first encoded data block in the plurality of first encoded data blocks. The offload processing includes: sending a part of the at least one first encoded data block to a second access network device, and directly sending, by using an air interface, another part of the at least one first encoded data block to the terminal device.

Communication method and communications device

Growing community of inventors

Shanghai, China

Cunqing Hua