Results 61 to 70 of about 333 (124)
Democratizing cloud data lake analytics: natural language access to Apache Iceberg via LLM agents
Frontiers in Big DataBusiness analysts and non-technical users need insights from enterprise data lakes but lack SQL expertise to query them directly. While large language models (LLMs) can translate natural language to SQL, existing text-to-SQL approaches face critical ...
Vipin Kataria, Nitin Kumar
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A Framework for Evaluation of SQL Injection Detection and Prevention Tools
International Journal of Information and Communication Technology Research, 2013 SQLIA is a hacking technique by which the attacker adds Structured Query Language code (SQL statements) through a web application's input fields or hidden parameters to access the resources.
Atefeh Tajpour, Suhaimi I brahim
doaj
Application of Artificial Intelligence in Detecting SQL Injection Attacks
JOIV: International Journal on Informatics VisualizationSQL injection attacks rank among the most significant threats to data security. While AI and machine learning have advanced considerably, their application in cybersecurity remains relatively undeveloped.
Nwabudike Augustine +3 more
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HYBRID INTRUSION DETECTION SYSTEM USING FUZZY LOGIC INFERENCE ENGINE FOR SQL INJECTION ATTACK
Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2018 SQL injection attacks toward web application increasingly prevalent. Testing to the web that will published is the one of preventive measures. However, this method sometimes ineffective because constrained by various things. Instrusion detection system (
Rajif Agung Yunmar
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CODDLE: Code-Injection Detection With Deep Learning
IEEE Access, 2019 Code Injection attacks such as SQL Injection and Cross-Site Scripting (XSS) are among the major threats for today's web applications and systems. This paper proposes CODDLE, a deep learning-based intrusion detection systems against web-based code ...
Stanislav Abaimov, Giuseppe Bianchi
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Early Detection of SQL Injection Attacks
International Journal of Network Security & Its Applications, 2013 SQL Injection (SQLI) is a common vulnerability found in web applications. The starting point of SQLI attack is the client-side (browser). If attack inputs can be detected early at the browse side, then it could be thwarted early by not forwarding the malicious inputs to the server-side for further processing.
Shahriar, Hossain +2 more
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Algorithms and software solutions for SQL injection vulnerability testing in web applications
Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології, 2018 Software security gains importance day by day and developers try to secure web applications as much as possible to protect confidentiality, integrity and availability that are described in the fundamental security model so-called CIA triad. SQL injection
Arslan Berk +3 more
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Machine-Learning-Based Detection of SQL Injection Attacks in Web Applications
Applied SciencesThe increasing development and prevalence of web applications have contributed to a surge in web attacks, with injection vulnerabilities considered amongst the most pivotal, widespread, and severe.
Haya Aldossary, Noura Aleisa
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SQL Injection Detection Based on Lightweight Multi-Head Self-Attention
Applied SciencesThis paper presents a novel neural network model for the detection of Structured Query Language (SQL) injection attacks for web applications. The model features high detection accuracy, fast inference speed, and low weight size.
Rui-Teng Lo +2 more
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Approach to detecting SQL injection behaviors in network environment
Tongxin xuebao, 2016 SQL injection attack is one of the main threats that many Web applications faced with. The traditional detection method depended on the clients or servers.
Yu-fei ZHAO +3 more
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