A Complete Log Files Security Solution Using Anomaly Detection and Blockchain Technology

Abstract

Tamper-proof log files has always been desired in any business settings as it is usually the prime target of bad actors to eliminate their presence in a cyber-attack, while the current log files solutions are mostly insufficient when it comes to practicality and efficiency. The research aims to propose a complete log files solution to prevent hackers from tampering with a system log record using blockchain technology and minimizes the scalability issues of current blockchain-based log files solution with anomaly detection frameworks. The research will focus on gathering data using purposive sampling method by distributing surveys to carefully selected populations to draw conclusions based on the information gathered. In conclusion, the proposed system will feature a blockchain-based log files security solution with anomaly detection built on top to minimize the scalability issues of blockchain technology and to act as a secondary intrusion detection system to achieve defense-in-depth. Future recommendations for the proposed system involve the use of a better anomaly detection framework or more efficient blockchain technology.