4Robust Fraud Detection Mechanism
Balajee Maram1*, Veerraju Gampala2, Satish Muppidi1 and T. Daniya3
1Department of CSE, GMR Institute of Technology, Rajam, Srikakulam, Andhra Pradesh, India
2Department of Computer Science and Engineering, KoneruLakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India
3Department of IT, GMR Institute of Technology, Rajam, Srikakulam, Andhra Pradesh, India
Abstract
In today’s world, fraud is one of the leading sources of significant financial consequences, not just for businesses but also for personal customers. The extraction of user profiles based on their past transaction data, and then determining whether or not an incoming transaction is a fraud based on their profiles, is an essential method of detecting fraud. The proposed blockchain method allows certified users to store, examine, and exchange digital data in a secure atmosphere, which aids in the development of trust, integrity, and visibility in online business relationships. Blockchain systematically analyzes the robustness of blockchain-based reputation systems, which focuses on the extraction and transmission to customers in a safe and trustworthy manner. Blockchain employs cryptographic hashes, which are produced from summarized shopping blocks that are signed and transmitted that provides a safe and secured online shopping for an highly efficient manner without any interference of third parties.
Keywords: Blockchain, robust, cryptographic hashes, key frames, ...
Get Cyber Security and Network Security now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
