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Fraud detection is a knowledge-intensive activity. The main AI techniques used for fraud detection include: . Data mining to classify, cluster, and segment the data and automatically find associations and rules in the data that may signify interesting patterns, including those related to fraud.
Man-in-the-browser (MITB, MitB, MIB, MiB), a form of Internet threat related to man-in-the-middle (MITM), is a proxy Trojan horse [1] that infects a web browser by taking advantage of vulnerabilities in browser security to modify web pages, modify transaction content or insert additional transactions, all in a covert fashion invisible to both the user and host web application.
The existence of DOM clobbering has been known since at least 2010, when a paper from researchers from University of California, Berkeley and Carnegie Mellon University demonstrated an attack where an iframe called self could be used to navigate a page to a different page, violating the same-origin policy.
STRIDE is a model for identifying computer security threats [1] developed by Praerit Garg and Loren Kohnfelder at Microsoft. [2] It provides a mnemonic for security threats in six categories.
Fragile watermarks are commonly used for tamper detection (integrity proof). Modifications to an original work that clearly are noticeable, commonly are not referred to as watermarks, but as generalized barcodes. A digital watermark is called semi-fragile if it resists benign transformations, but fails detection after malignant transformations ...
Fraud deterrence is based on the premise that fraud is not a random occurrence; fraud occurs where the conditions are right for it to occur. Fraud deterrence attacks the root causes and enablers of fraud; this analysis could reveal potential fraud opportunities in the process, but is performed on the premise that improving organizational procedures to reduce or eliminate the causal factors of ...
The concept of "Google hacking" dates back to August 2002, when Chris Sullo included the "nikto_google.plugin" in the 1.20 release of the Nikto vulnerability scanner. [4] In December 2002 Johnny Long began to collect Google search queries that uncovered vulnerable systems and/or sensitive information disclosures – labeling them googleDorks.
Used as part of computer security, IDMEF (Intrusion Detection Message Exchange Format) is a data format used to exchange information between software enabling intrusion detection, intrusion prevention, security information collection and management systems that may need to interact with them. IDMEF messages are designed to be processed ...