Paper Title
Early Detection and Prediction of Extortion Coverage Attack
Article Identifiers
Authors
Keywords
Ransomware Attack, Cybersecurity, Malware, Infection, Encrypt, Decrypt, Cryptowall, Bitcoin, Cryptolocker, WannaCry, Threat
Abstract
Ransomware attacks have become increasingly prevalent in recent years, posing a significant threat to cybersecurity. This research paper explores the various aspects of ransomware attacks, including their definition, types, techniques, and impacts on individuals and organizations. Ransomware Cyber insurance, also known as cyber extortion coverage, is typically included with a sublimit under a cyberliability insurance policy. Ransomware is a type of malware that encrypts the files on a computer, preventing the user from accessing them. It encrypts users' files or steal/delete important information and holds the decryption key until a ransom is paid by the victim, which is mostly in bitcoins due to their untraceable properties
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How To Cite (APA)
Priti Yeola, Shruti, Sakshi Deshmukh, & Nikhilesh Mankar (March-2024). Early Detection and Prediction of Extortion Coverage Attack. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), b732-b737. https://ijnrd.org/papers/IJNRD2403183.pdf
Issue
Volume 9 Issue 3, March-2024
Pages : b732-b737
Other Publication Details
Paper Reg. ID: IJNRD_215306
Published Paper Id: IJNRD2403183
Downloads: 000122254
Research Area: Computer EngineeringÂ
Author Type: Indian Author
Country: Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403183.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403183
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