Introducing fraud, phishing, and spam detection methods
Fraud, phishing, and spam detection in cybersecurity are distinct areas, each focusing on identifying and mitigating different types of malicious activities.
Let us explore each of these in the following sections.
Fraud detection
Similar to malware and phishing issues, online fraud and credit card fraud are also critical problems in contemporary cybersecurity. The issues can cause huge losses for banks, consumers, insurance companies, and other organizations (in both the public and private sectors). Therefore, fraud detection increasingly attracts attention, and it indicates the classification of malicious transactions from legitimate ones. Please find references [2,3,4] in the References section for more details. Traditionally, fraud analyzers use expert-driven predictive models, which are based on the rules standardized by experts. One example of a rule-based model would be a model where a transaction will be denied...
