Method for performing cyber intrusion analysis using deep learning approach, involves classifying detected cyber-intrusion events and occurrences on real-time internet-of-things devices
	ANITHALAKSHMI V; VIJAYAN B V; INGALE K K; THIAGARAJAN R; KOTTEESWARAN R; BAGGA M; ASHOK R P; JAISWAL A; PRANATHI K
	2025-03-25
专利权人	ANITHALAKSHMI V (ANIT-Individual) ; VIJAYAN B V (VIJA-Individual) ; INGALE K K (INGA-Individual) ; THIAGARAJAN R (THIA-Individual) ; KOTTEESWARAN R (KOTT-Individual) ; BAGGA M (BAGG-Individual) ; ASHOK R P (ASHO-Individual) ; JAISWAL A (JAIS-Individual) ; PRANATHI K (PRAN-Individual)
申请日期	2025-03-25
专利号	IN202541027595-A
成果简介	NOVELTY - The method involves categorizing cyber intrusion analysis for better performance and accuracy using deep learning (DL) approach. Malicious attacks within real-time internet of things (IoT) devices are determined to analyze weaknesses in vulnerabilities. Digitally exposed vulnerabilities are analyzed and leveraged using a classification approach. Static internet protocol (IP) addresses are examined to determine whether cyber-attack exploits occur in the IoT devices. Detected cyber-intrusion events and occurrences are classified on real time IoT device, where the malicious attacks are categorized according to false positives and true positives. USE - Method for performing cyber intrusion analysis for real-time IoT devices e.g. sensors and actuators. ADVANTAGE - The method enables classifying cyber intrusion analysis as having significantly improved accuracy and efficiency using DL technique, and providing necessary point of view on IoT security by diagnosing vulnerabilities in the IoT devices. The IoT devices are constrained and need to be uniquely identified within computational resources since the IoT devices are lightweight, and have higher efficiency in performance. DESCRIPTION OF DRAWING(S) - The drawing shows a schematic view of a system for performing cyber intrusion analysis for real-time IoT devices.
IPC 分类号	G06F-011/07 ; G06F-021/55 ; G06F-021/56 ; G06F-021/57 ; 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/13529
专题	中国科学院新疆生态与地理研究所
作者单位	1.ANITHALAKSHMI V (ANIT-Individual) 2.VIJAYAN B V (VIJA-Individual) 3.INGALE K K (INGA-Individual) 4.THIAGARAJAN R (THIA-Individual) 5.KOTTEESWARAN R (KOTT-Individual) 6.BAGGA M (BAGG-Individual) 7.ASHOK R P (ASHO-Individual) 8.JAISWAL A (JAIS-Individual) 9.PRANATHI K (PRAN-Individual)
推荐引用方式 GB/T 7714	ANITHALAKSHMI V,VIJAYAN B V,INGALE K K,et al. Method for performing cyber intrusion analysis using deep learning approach, involves classifying detected cyber-intrusion events and occurrences on real-time internet-of-things devices. IN202541027595-A[P]. 2025.

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