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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.
The project is based on code originally contributed by Tripwire, Inc. in 2000. [5] [6] It is released under the terms of GNU General Public License. [1] [7] It works by creating a baseline database, and then regularly comparing the state of the file system with the database. If it detects changes (e.g. addition or modification of some files ...
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.
Detection of drive-by download attacks is an active area of research. Some methods of detection involve anomaly detection, which tracks for state changes on a user's computer system while the user visits a webpage. This involves monitoring the user's computer system for anomalous changes when a web page is rendered.
Fraud detection deals with the identification of bank fraud, such as money laundering, credit card fraud and telecommunication fraud, which have vast domains of research and applications of machine learning. Because ensemble learning improves the robustness of the normal behavior modelling, it has been proposed as an efficient technique to ...
In hacking, a shellcode is a small piece of code used as the payload in the exploitation of a software vulnerability.It is called "shellcode" because it typically starts a command shell from which the attacker can control the compromised machine, but any piece of code that performs a similar task can be called shellcode.
Download and execute files on the victim's computer. Use the victim's computer as a proxy server . Blackshades reportedly can be used by computer hackers with little experience or by script kiddies , hackers that use programs developed by others to attack computer systems.
Fuzzing Project, includes tutorials, a list of security-critical open-source projects, and other resources. University of Wisconsin Fuzz Testing (the original fuzz project) Source of papers and fuzz software. Designing Inputs That Make Software Fail, conference video including fuzzy testing; Building 'Protocol Aware' Fuzzing Frameworks