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Data and syntax centric anomaly detection for relational databases

https://doi.org/10.1002/widm.1195
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11506881_8openalex-snapshot
A Learning-Based Approach to the Detection of SQL Attacks
inferredcites →https://doi.org/10.1007/11535706_16openalex-snapshot
A Comprehensive Approach to Anomaly Detection in Relational Databases
inferredcites →https://doi.org/10.1007/3-540-45435-7_24openalex-snapshot
Performance Guarantees for Hierarchical Clustering
inferredcites →https://doi.org/10.1007/978-3-540-74320-0_4openalex-snapshot
Swaddler: An Approach for the Anomaly-Based Detection of State Violations in Web Applications
inferredcites →https://doi.org/10.1007/978-3-642-15512-3_20openalex-snapshot
A Data-Centric Approach to Insider Attack Detection in Database Systems
inferredcites →https://doi.org/10.1007/bf00114265openalex-snapshot
Knowledge Acquisition Via Incremental Conceptual Clustering
inferredcites →https://doi.org/10.1007/bf00994018openalex-snapshot
Support-Vector Networks
inferredcites →https://doi.org/10.1007/s00778-007-0051-4openalex-snapshot
Detecting anomalous access patterns in relational databases
inferredcites →https://doi.org/10.1007/s10462-004-4304-yopenalex-snapshot
A Survey of Outlier Detection Methodologies
inferredcites →https://doi.org/10.1007/s10994-011-5256-5openalex-snapshot
Classifier chains for multi-label classification
inferredcites →https://doi.org/10.1016/0004-3702(89)90046-5openalex-snapshot
Models of incremental concept formation
inferredcites →https://doi.org/10.1016/j.comcom.2004.07.002openalex-snapshot
Anomaly detection methods in wired networks: a survey and taxonomy
inferredcites →https://doi.org/10.1016/j.comnet.2007.02.001openalex-snapshot
An overview of anomaly detection techniques: Existing solutions and latest technological trends
inferredcites →https://doi.org/10.1016/j.jcss.2004.10.006openalex-snapshot
Performance guarantees for hierarchical clustering
inferredcites →https://doi.org/10.1016/j.jnca.2011.03.004openalex-snapshot
Anomaly detection in wireless sensor networks: A survey
inferredcites →https://doi.org/10.1109/csac.2005.33openalex-snapshot
Intrusion Detection in RBAC-administered Databases
inferredcites →https://doi.org/10.1109/jsyst.2015.2487221openalex-snapshot
DBSAFE—An Anomaly Detection System to Protect Databases From Exfiltration Attempts
inferredcites →https://doi.org/10.1109/ladc.2009.14openalex-snapshot
A Weight-Based Symptom Correlation Approach to SQL Injection Attacks
inferredcites →https://doi.org/10.1109/tit.1982.1056489openalex-snapshot
Least squares quantization in PCM
inferredcites →https://doi.org/10.1109/tkde.2010.151openalex-snapshot
Design and Implementation of an Intrusion Response System for Relational Databases
inferredcites →https://doi.org/10.1109/tkde.2010.235openalex-snapshot
Anomaly Detection for Discrete Sequences: A Survey
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1145/1541880.1541882openalex-snapshot
Anomaly detection
inferredcites →https://doi.org/10.1145/2452376.2452469openalex-snapshot
PostgreSQL anomalous query detector
inferredcites →https://doi.org/10.1145/2699026.2699111openalex-snapshot
DetAnom
inferredcites →https://doi.org/10.1145/775152.775174openalex-snapshot
Web application security assessment by fault injection and behavior monitoring
inferredcites →https://doi.org/10.1287/moor.10.2.180openalex-snapshot
A Best Possible Heuristic for the k-Center Problem
inferredcites →https://doi.org/10.14778/2732240.2732246openalex-snapshot
OLTP-Bench
inferredcites →https://doi.org/10.21236/ada191597openalex-snapshot
Models of Incremental Concept Formation
inferredcites →https://doi.org/10.5220/0004612206030608openalex-snapshot
Database Anomalous Activities - Detection and Quantification

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-17277-0_7openalex-snapshot
Techniques and Systems for Anomaly Detection in Database Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-62582-5_23openalex-snapshot
Log-Based Malicious Activity Detection Using Machine and Deep Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-93956-4_11openalex-snapshot
Database Intrusion Detection Systems (DIDs): Insider Threat Detection via Behaviour-Based Anomaly Detection Systems - A Brief Survey of Concepts and Approaches
inferred← citeshttps://doi.org/10.1007/978-3-319-76687-4_2openalex-snapshot
A Semantic Approach to Frequency Based Anomaly Detection of Insider Access in Database Management Systems
inferred← citeshttps://doi.org/10.1007/978-3-662-62199-8_1openalex-snapshot
Role-Based Access Classification: Evaluating the Performance of Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1007/978-981-15-9739-8_30openalex-snapshot
Research on Database Anomaly Access Detection Based on User Profile Construction
inferred← citeshttps://doi.org/10.1007/s11042-021-10786-3openalex-snapshot
Expectation maximization clustering and sequential pattern mining based approach for detecting intrusive transactions in databases
inferred← citeshttps://doi.org/10.1016/j.cose.2019.03.021openalex-snapshot
A-PANDDE: Advanced Provenance-based ANomaly Detection of Data Exfiltration
inferred← citeshttps://doi.org/10.1016/j.measurement.2022.112109openalex-snapshot
Dam deformation early warning model based on cluster analysis and spatiotemporal data fusion
inferred← citeshttps://doi.org/10.1016/j.procs.2020.07.048openalex-snapshot
Towards Privacy-anomaly Detection: Discovering Correlation between Privacy and Security-anomalies
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622047openalex-snapshot
Towards Modelling Insiders Behaviour as Rare Behaviour to Detect Malicious RDBMS Access
inferred← citeshttps://doi.org/10.1109/cic.2017.00058openalex-snapshot
Detection of Temporal Insider Threats to Relational Databases
inferred← citeshttps://doi.org/10.1109/cic.2018.00030openalex-snapshot
Detection of Temporal Data Ex-Filtration Threats to Relational Databases
inferred← citeshttps://doi.org/10.1109/icde48307.2020.00030openalex-snapshot
An Anomaly Detection System for the Protection of Relational Database Systems against Data Leakage by Application Programs
inferred← citeshttps://doi.org/10.1109/icftic57696.2022.10075094openalex-snapshot
User Behavior Profile: A key to Database Anomaly Access Detection
inferred← citeshttps://doi.org/10.1109/tnet.2023.3302306openalex-snapshot
Cardinality Estimation Adaptive Cuckoo Filters (CE-ACF): Approximate Membership Check and Distinct Query Count for High-Speed Network Monitoring
inferred← citeshttps://doi.org/10.1145/3163058.3163068openalex-snapshot
On database intrusion detection
inferred← citeshttps://doi.org/10.1145/3292006.3300039openalex-snapshot
Result-Based Detection of Insider Threats to Relational Databases
inferred← citeshttps://doi.org/10.1145/3309182.3309188openalex-snapshot
Computing the Identification Capability of SQL Queries for Privacy Comparison
inferred← citeshttps://doi.org/10.1145/3514221.3517861openalex-snapshot
Unsupervised Contextual Anomaly Detection for Database Systems
inferred← citeshttps://doi.org/10.3103/s0146411625701007openalex-snapshot
Intelligent Data Analysis and Processing for Detecting Insider Data Confidentiality Breaches in a DBMS
inferred← citeshttps://doi.org/10.3389/fdata.2020.00011openalex-snapshot
Quantitatively Measuring Privacy in Interactive Query Settings Within RDBMS Framework
inferred← citeshttps://doi.org/10.4018/978-1-5225-5984-9.ch010openalex-snapshot
DBMS Log Analytics for Detecting Insider Threats in Contemporary Organizations
inferred← citeshttps://doi.org/10.48550/arxiv.2011.02308openalex-snapshot
Database Intrusion Detection Systems (DIDs): Insider Threat Detection via Behavioural-based Anomaly Detection Systems -- A Brief Survey of Concepts and Approaches
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