The Test Pyramid 2.0: AI-assisted testing across the pyramid. [PDF]
Desai P, Singh S, Amilkanthwar S.
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Optimized ensemble machine learning model for cyberattack classification in industrial IoT. [PDF]
Alabdullah B, Sankaranarayanan S.
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A hybrid intrusion detection model based on dynamic spatial-temporal graph neural network in in-vehicle networks. [PDF]
Zhang J, Fan X, Zhao Z.
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Explainable artificial intelligence-based cyber resilience in internet of things networks using hybrid deep learning with improved chimp optimization algorithm. [PDF]
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Attack resilient IoT security framework using multi head attention based representation learning with improved white shark optimization algorithm. [PDF]
Aljabri J.
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A drift-aware RS2FS pipeline with confidence gating for IDS. [PDF]
Sakthivel G, Kumarasamy AK.
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SQL-Identifier Injection Attacks
2019 IEEE Conference on Communications and Network Security (CNS), 2019This paper defines a class of SQL-injection attacks that are based on injecting identifiers, such as table and column names, into SQL statements. An automated analysis of GitHub shows that 15.7% of 120,412 posted Java source files contain code vulnerable to SQL-Identifier Injection Attacks (SQL-IDIAs).
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