PROACTIVE DEFENSE STRAGIES RANSOMEWARE THREATS

Registration ID: IJNRD_218318

Published ID: IJNRD2406148

DOI: Click Here to Get

Sakthikumar.T , Sumithra.G , Araya.M.U , B.Jijitha , Rajith.S

Data Security, Hash Conceal, Machine Learning, Proactive Defense, Ransomware, and RanGAN

Attacks using ransomware are still a serious risk to both people and businesses. Conventional reactionary strategies frequently fall short against attackers' developing techniques. This study suggests a proactive protection approach that makes use of Hash Conceal and RanGAN (Ransomware Generative Adversarial Network). Early threat detection is made possible by RanGAN's real-time machine learning detection of ransomware behavior patterns. Conversely, Hash Conceal concentrates on safeguarding data by employing a hashing algorithm to secure important information, making it unusable even in the event of ransomware encryption. Together, these strategies provide a strong security system that reduces data loss and guarantees quick to reaction Keywords: Data Security, Hash Conceal, Machine Learning, Proactive Defense, Ransomware, and RanGAN

Published Paper   E-Certificate

Sakthikumar.T, Sumithra.G, Araya.M.U, B.Jijitha, & Rajith.S (June-2024). PROACTIVE DEFENSE STRAGIES RANSOMEWARE THREATS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(6), b453-b455. https://ijnrd.org/papers/IJNRD2406148.pdf

Volume 9 Issue 6, June-2024

Pages : b453-b455

Paper Reg. ID: IJNRD_218318

Published Paper Id: IJNRD2406148

Downloads: 000121989

Research Area: Computer Science & Technology 

Country: Coimbatore, TamilNadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2406148.pdf

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