The invention discloses an Internet-of-things safe cloud platform based on deep
data traffic perception.
The Internet-of-things safe cloud platform comprises a functional unit arranged between an Internet-of-things connecting layer and a service
application layer, wherein the functional unit comprises a deep engine
perception engine which is used for identifying service attribute of a current datapacket, and extracts the characteristic parameter of a characteristic field according to the service kind for performing classification statistics analysis. Particularly the functional unit performsthe following steps of 1, extracting key information of an
IP layer, a transmission layer and
partial application layer of
network data traffic, matching an application characteristic
database, and identifying the protocol type of the current
data traffic; 2, in the current protocol type, extracting the service data characteristic of the network
traffic flow, and constructing a quantitative
distribution model of a data load; and 3, based on the service data characteristic, identifying the characteristic field of an unknown traffic data packet and extracting the field value of the characteristic field, recording the change amount and outputting.
The Internet-of-things safe cloud platform has advantages of increasing a classification method based on key content identification, realizing deepanalysis to each behavior parameter of Internet-of-things
data traffic and effectively ensuring network safety of
the Internet-of-things
system.