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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.
It is widely used in the financial sector, especially by accounting firms, to help detect fraud. In 2022, PricewaterhouseCoopers reported that fraud has impacted 46% of all businesses in the world. [1] The shift from working in person to working from home has brought increased access to data.
GameOver ZeuS (GOZ), also known as peer-to-peer (P2P) ZeuS, ZeuS3, and GoZeus, is a Trojan horse developed by Russian cybercriminal Evgeniy Bogachev. Created in 2011 as a successor to Jabber Zeus, another project of Bogachev's, the malware is notorious for its usage in bank fraud resulting in damages of approximately $100 million and being the main vehicle through which the CryptoLocker ...
GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [8]
Moreover, numerous graph-related applications are found to be closely related to the heterophily problem, e.g. graph fraud/anomaly detection, graph adversarial attacks and robustness, privacy, federated learning and point cloud segmentation, graph clustering, recommender systems, generative models, link prediction, graph classification and ...
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
STRIDE is a model of threats, used to help reason and find threats to a system. It is used in conjunction with a model of the target system that can be constructed in parallel. This includes a full breakdown of processes, data stores, data flows, and trust boundaries. [5]
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.