6 results about "Anti virus" patented technology

One embodiment of the invention discloses a method and device for optimizing network anti-virus indexes. The method comprises following steps: obtaining anti-virus indexes of terminals in a network, wherein the anti-virus index of each terminal in the network comprises at least one kind of information as follows: virus infection and anti-virus capability information; optimizing the anti-virus indexes of terminals in a network by means of the genetic algorithm to obtain the optimized anti-virus indexes of terminals in the network; obtaining the optimized network anti-virus indexes based on the optimized anti-virus indexes of terminals in the network. One embodiment of the invention also discloses a device for optimizing network anti-virus indexes.

The invention discloses a vehicle USB anti-virus method, device and system and a vehicle. The method comprises the steps that it is determined that an anti-virus engine passes authorization of a cloud; monitoring whether an external storage device access behavior exists in the USB interface of the vehicle-mounted terminal or not; if yes, whether the current driving state meets the set state condition or not is judged; when the set state condition is met, popping up a virus scanning reminding window in a human-computer interaction interface of the vehicle machine; performing file scanning on external storage equipment to determine a virus file; when determining that the virus file exists, popping up a processing window; and according to the triggering of the user on the option control in the processing window, pointedly processing the virus file. According to the method, the access behavior of the external storage device is monitored through the anti-virus engine, and the external storage device is scanned, so that the virus file is determined and processed. And the safety of the vehicle machine is protected. The invention is mainly used in the technical field of vehicles.

Provided are methods, systems, and non-transitory computer-readable media for generating a feature vector for malware, including storing, in memory of a computing device, program code for a trained neural network that produces embedded representations for antivirus scan data; executing, by a processor of the computing device, the program code for the trained neural network to perform the operations of: (a) receiving an antivirus scan report (AVSR) for a malware file; (b) normalizing each label in the AVSR by separating the label into a sequence of tokens including a set of token strings; (c) embedding a first token and plural second tokens to generate an input sequence for the malware file; (d) inputting the input sequence into a neural model for producing antivirus scan data; and (e) outputting the antivirus scan data produced by the neural model as one or more feature vectors.

Disclosed herein are systems and methods for anti-virus scanning of objects on a mobile device. In one aspect, a method comprises: receiving, by a security module, a command to perform an anti-virus scan of an object; checking, by the security module, whether a mobile security application is installed or pre-installed on the mobile device; when the mobile security application is installed or pre-installed, determining whether the mobile security application is activated, and when the mobile security application is not activated, activating the mobile security application; when the mobile security application is not installed or pre-installed on the mobile device, installing and activating the mobile security application; transmitting, by the security module, the object to the mobile security application for performing an anti-virus scan of the object; and performing an anti-virus scan of the object to determine whether the object is malicious.

The invention discloses a distributed cloud searching and killing method and system, a cloud server and clients, and belongs to the technical field of network security. According to the method, on one hand, features in a complete virus feature library are divided into multiple virus feature subsets through the cloud server, and the multiple virus feature subsets are distributed to the multiple clients according to distribution rules; meanwhile, the overlap ratio of the virus feature subsets is lower than a preset threshold value, and it is guaranteed that local virus feature libraries of the client can be maximized and close to the virus feature libraries after being combined; and on the other hand, when the local matching fails and the cloud server is unavailable, the client can initiate a matching request to other clients, and the feature libraries of a plurality of clients are integrated to realize collaborative searching and killing. According to the method, the searching and killing capability of the cloud is guaranteed, the local anti-virus capability under the condition that the cloud server is disconnected is remarkably improved, and distributed resources in a network are effectively utilized.