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  2. Open Source Tripwire - Wikipedia

    en.wikipedia.org/wiki/Open_Source_Tripwire

    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 ...

  3. Data analysis for fraud detection - Wikipedia

    en.wikipedia.org/wiki/Data_analysis_for_fraud...

    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.

  4. Fuzzing - Wikipedia

    en.wikipedia.org/wiki/Fuzzing

    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

  5. Ensemble learning - Wikipedia

    en.wikipedia.org/wiki/Ensemble_learning

    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 ...

  6. Graph neural network - Wikipedia

    en.wikipedia.org/wiki/Graph_neural_network

    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 ...

  7. Digital watermarking - Wikipedia

    en.wikipedia.org/wiki/Digital_watermarking

    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 ...

  8. Shellcode - Wikipedia

    en.wikipedia.org/wiki/Shellcode

    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.

  9. Intrusion Detection Message Exchange Format - Wikipedia

    en.wikipedia.org/wiki/Intrusion_Detection...

    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 ...