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Cahill et al. (2000) design a fraud signature, based on data of fraudulent calls, to detect telecommunications fraud. For scoring a call for fraud its probability under the account signature is compared to its probability under a fraud signature. The fraud signature is updated sequentially, enabling event-driven fraud detection.
The project was then renamed to MISP: Malware Information Sharing Project, a name invented by Alex Vandurme from NATO. [ 4 ] In January 2013 Andras Iklody became the main full-time developer of MISP, during the day initially hired by NATO and during the evening and week-end contributor to an open source project.
Archi is a free and open-source visual-modelling and design tool for creating ArchiMate models and modelling sketches.. Archi was initially funded between 2010 and 2012 by Jisc as part of a national project aimed at supporting a programme of Enterprise Architecture in the UK higher education sector.
A project of Microsoft Research for checking that software (drivers) satisfies critical behavioral properties of the interfaces it uses. SofCheck Inspector, Codepeer 2020-08-24 (21.x) No; proprietary Ada — Java — — — — Static detection of logic errors, race conditions, and redundant code. automatically extracts pre-postconditions from ...
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.
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
Capella was created by Thales in 2007, and has been under continuous development and evolution since then. The objective is to contribute to the transformation of engineering, providing an engineering environment which approach is based on models rather than focused on documents, piloted by a process, and offering, by construction, ways to ensure effective co-engineering.
CUJO AI offers a SaaS platform for network operators that helps in identification and restricting malicious activity on the home network. [13] [14] [15] It utilizes algorithms powered by machine learning and allows to precisely identify the devices and creates a personalized experience for the end-user.