• Mr. Siddagiri Teja Reddy
• Smt. M. Prashanthi

The rising recurrence of ransomware assaults features the earnest requirement for cutting edge discovery techniques fit for recognizing dangers in their underlying stages. Conventional mark based recognition frameworks frequently neglect to perceive new or developing ransomware variations, making versatile and proactive observing fundamental. This paper presents a thorough structure for early ransomware location through versatile observing, using both conduct examination and organization traffic evaluation. The proposed strategy incorporates AI calculations with ongoing framework conduct and organization design checking to distinguish abnormalities that might flag ransomware action. By noticing document access designs, encryption strategies, and unapproved information moves, alongside uncommon organization conduct like enormous information developments or scrambled traffic, the framework can recognize early indications of ransomware. The versatile models ceaselessly gain from new information, working on their capacity to recognize arising ransomware systems while limiting phony problems. The structure utilizes a multifaceted methodology, giving intensive checking and ideal cautions that are indispensable for limiting harm and forestalling the spread of ransomware inside organizations. Trial discoveries demonstrate the way that this versatile observing methodology can distinguish ransomware in its beginning phases, lessening reaction times and empowering precautionary measures, like confining impacted frameworks to safeguard authoritative assets. This exploration propels the improvement of canny online protection frameworks that blend conduct and organization traffic investigation, offering a powerful guard against progressively modern ransomware dangers.

Ransomware Discovery, Versatile Observing, Social Examination, Organization Traffic Investigation, Early Identification, AI, Network safety, Oddity Location, Ongoing Checking, Malware Counteraction

" Enhanced Ransomware Detection Using Behaviour-Based and Network Traffic Monitoring", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.f884-f893, November-2025, Available :http://www.jetir.org/papers/JETIR2511626.pdf

" Enhanced Ransomware Detection Using Behaviour-Based and Network Traffic Monitoring", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppf884-f893, November-2025, Available at : http://www.jetir.org/papers/JETIR2511626.pdf