Artificial intelligence-powered cybersecurity system for real-time detection and mitigation of cyber threats, has continuous learning engine designed to update and refine threat detection models by utilizing newly acquired data
	BHUVANESHWARI P; SREEDHAR M; SNEHA B G; SUGUNALATHA C; GEETHA R E; RAMAKALYANI K; DERANGULA A
	2025-03-23
专利权人	BHUVANESHWARI P (BHUV-Individual) ; SREEDHAR M (SREE-Individual) ; SNEHA B G (SNEH-Individual) ; SUGUNALATHA C (SUGU-Individual) ; GEETHA R E (GEET-Individual) ; RAMAKALYANI K (RAMA-Individual) ; DERANGULA A (DERA-Individual)
申请日期	2025-03-23
专利号	IN202541026685-A
成果简介	NOVELTY - The AI-powered cyber security system has a data acquisition module collecting network traffic, device activities, and user behavior data. A threat detection module employs machine learning algorithms to analyze the collected data for identifying potential threats and anomalies. An automated response module initiates predefined actions to mitigate detected threats in real-time. A continuous learning engine is designed to update and refine threat detection models by utilizing newly acquired data. The acquisition module utilizes edge computing to optimize data collection efficiency and reduce network latency, and employs deep neural networks for enhanced detection of complex threat patterns. The continuous learning engine incorporates reinforcement learning to improve decision-making processes. USE - Artificial intelligence (AI)-powered cybersecurity system for real-time detection and mitigation of cyber threats used for protecting digital networks, devices, and data from unauthorized access, cyberattacks, and vulnerabilities by using machine learning models, such as neural networks and clustering algorithms to identify malicious activities, Uses include but are not limited to threat detection techniques, and automated response mechanisms. ADVANTAGE - The method enables providing an innovative and comprehensive artificial intelligence-powered cybersecurity system that dynamically adapts, learns, and acts to mitigate cyber risks effectively and efficiently. The method allows a continuous learning engine to be a cornerstone of the system, thus ensuring the system remains adaptive in the face of evolving cyber threats, and improving efficiency and accuracy over time by incorporating feedback loops and reinforcement learning, and hence ensuring scalability and flexibility, and making the system suitable for diverse industries and organizational sizes.
IPC 分类号	G06F-021/56 ; G06F-021/57 ; G06N-020/00 ; G06N-020/20 ; H04L-009/40
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13559
专题	中国科学院新疆生态与地理研究所
作者单位	1.BHUVANESHWARI P (BHUV-Individual) 2.SREEDHAR M (SREE-Individual) 3.SNEHA B G (SNEH-Individual) 4.SUGUNALATHA C (SUGU-Individual) 5.GEETHA R E (GEET-Individual) 6.RAMAKALYANI K (RAMA-Individual) 7.DERANGULA A (DERA-Individual)
推荐引用方式 GB/T 7714	BHUVANESHWARI P,SREEDHAR M,SNEHA B G,et al. Artificial intelligence-powered cybersecurity system for real-time detection and mitigation of cyber threats, has continuous learning engine designed to update and refine threat detection models by utilizing newly acquired data. IN202541026685-A[P]. 2025.

条目包含的文件
条目无相关文件。

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。