35results about How to "Protect against malicious attacks" patented technology

The invention discloses a self-generating multi-agent confrontation system and method based on quantum random entropy injection, belongs to the technical field of artificial intelligence and quantum computing, and aims to replace a traditional pseudo-random number with quantum random entropy injection, so that an agent decision-making path is essentially unpredictable, malicious attacks based on historical data are effectively resisted, and the service life of the agent decision-making path is prolonged. The application security of the system in high-sensitivity fields such as finance and security is greatly improved; the quantum mutation mechanism can randomly trigger evolution of agent strategies, human settings, view angles and the like, simulate evolution and selection processes, can spontaneously generate innovative analysis and insight except a traditional fixed strategy pool, and has breakthrough in solving complex problems; the intelligent agent can be dynamically adjusted and optimized according to real-time performance and quantum random triggering in the confrontation process, continuous improvement of the overall capacity of the system is achieved, the whole process from demand analysis, intelligent agent generation to confrontation judgment is automatic, new fields and new tasks can be rapidly adapted, and development and maintenance cost is greatly reduced.

The application relates to a security protection method for an Internet of Things device firmware update vulnerability, comprising the following steps: respectively constructing authenticity watermark, compatibility watermark and integrity watermark; embedding the authenticity watermark, the compatibility watermark and the integrity watermark into firmware; performing watermark detection on the firmware, and only when the watermark detection passes, executing firmware update. Compared with the prior art, the application uses implicitly defined watermark to provide security protection, and uses the authenticity watermark, the compatibility watermark and the integrity watermark to provide the firmware with protection capability for multiple types of firmware update vulnerabilities, and has the advantages of high reliability, high robustness and high generalization.

The application discloses an anti-poisoning attack cooperative security defense method and system for Internet of Vehicles, and relates to the technical field of Internet of Vehicles security. The method comprises the following steps: an initial model is issued by a cloud end to all vehicles at a vehicle end, vehicle end synchronously acquires in-vehicle network data and off-vehicle communication data, and performs preprocessing; the vehicle end trains and fine-tunes the received initial model with the minimum reconstruction error or feature space compactness loss as the target, and encrypts and updates the fine-tuned model based on privacy protection processing; the cloud end performs security screening on the encrypted and updated model parameters based on a multi-stage robust aggregation mechanism and a dynamic trust management model to obtain a global model; and the cloud end issues the global model and corresponding data to the vehicle end for real-time monitoring and feedback. The application can effectively resist malicious vehicle end attacks while guaranteeing vehicle data privacy and system real-time performance, and has strong cross-domain generalization capability.