Search Results - Dataset SQL injection Anomaly detection

Application of Artificial Intelligence in Detecting SQL Injection Attacks by Augustine, Nwabudike, Md. Sultan, Abu Bakar, Osman, Mohd Hafeez, Sharif, Khaironi Yatim

“… Datasets of well-known SQL injection attack patterns and AI/ML models intended for cybersecurity anomaly detection are among the resources underexplored…”
Get full text

Feature Engineering for Injection Attack Detection: An Exploration from SQLI to XSS by Loginov, Alexander, Zincir-Heywood, Nur, Heywood, Malcolm

“… To this end, the proposed data preprocessing and feature engineering method is compared against state-of-the-art SQL injection detection on two different datasets using KNN, DT and SVM as classifiers…”
Get full text

Trident: Detecting SQL Injection Attacks via Abstract Syntax Tree-based Neural Network by Li, Yuanlin, Xu, Zhiwei, Zhou, Min, Wan, Hai, Zhao, Xibin

“…SQL injection attacks have posed a significant threat to web applications for decades…”
Get full text

Machine Learning and Deep Learning Techniques for Internet of Things Network Anomaly Detection—Current Research Trends by Rafique, Saida Hafsa, Abdallah, Amira, Musa, Nura Shifa, Murugan, Thangavel

“… AI-based anomaly detection systems are capable of identifying a wide range of threats in IoT environments, including brute force, buffer overflow, injection, replay attacks, DDoS assault, SQL…”
Get full text

SQL-GENIE: SQL Protection using GENerative Modeling for Anomaly Detection against Injection and Evolved Adversarial Attacks by Afrin, Sadia, Elsayed, Marwa A., Zincir-Heywood, Nur

“… The growing surge and sophistication of large-scale SQL injection (SQLi) attacks highlight the urgent need for advanced detection mechanisms to protect sensitive information, especially in cloud-based environments…”
Get full text

Detecting Web Attacks From HTTP Weblogs Using Variational LSTM Autoencoder Deviation Network by Jagat, Rikhi Ram, Sisodia, Dilip Singh, Singh, Pradeep

“… Recent studies focus on recognizing web attacks through deep neural network-based anomaly detection…”
Get full text

Advanced Detection and Prevention of SQL Injection Attacks Using Machine Learning Techniques for Enhanced Web Security by Pooja Panadiya, Prof. Manish Kumar Singhal

“… This paper presents an advanced framework for detecting and preventing SQL injection attacks using machine learning techniques to enhance web security…”
Get full text

A Multi-Class Intrusion Detection System Based on Continual Learning by Oikonomou, Chrysoula, Iliopoulos, Ilias, Ioannidis, Dimosthenis, Tzovaras, Dimitrios

“…) based on continual learning with a CNN backbone. Using the LYCOS-IDS2017 dataset, the study explores several continuous learning techniques for identifying threats including denial-of-service and SQL injection…”
Get full text

Identification of Important Features at Different IoT layers for Dynamic Attack Detection by Haque, Safwana, El-Moussa, Fadi, Komninos, Nikos, Muttukrishnan, Rajarajan

“… One popular method of achieving this is with the use of intrusion detection systems (IDSs…”
Get full text

Enhancing SQL Query Security using Graph-based Hierarchical Embeddings with SMOTE and Advanced Neural Networks for Robust Detection by K, Mangaiyarkarasi, P. S., Uma Priyadarsini

“…SQL Injection Attacks (SQLIA) are still a significant security vulnerability, targeting issues in database query validation for intruder access…”
Get full text

A Thirty-Day Dataset of Malicious HTTP Requests Blocked by OWASP ModSecurity on a Production Web Server by Lucz, Geza, Forstner, Bertalan

“…), resulting in its inclusion in the audit log due to suspected exploitation attempts. The dataset includes attack categories such as SQL injection, cross-site scripting (XSS…”
Get full text

Machine Learning Empowered Security Management and Quality of Service Provision in SDN-NFV Environment by Shahzadi, Shumaila, Ahmad, Fahad, Basharat, Asma, Alruwaili, Madallah, Alanazi, Saad, Humayun, Mamoona, Rizwan, Muhammad, Naseem, Shahid

“…With the rising demand for data access, network service providers face the challenge of growing their capital and operating costs while at the same time…”
Get full text

Intelligent Anomaly Detection in Database Security: A Triple-Loop Learning Framework by Kandolo, William

“…), and meta-learning for real-time anomaly detection in SQL-based environments. To the best of our knowledge, TLL is the first framework to unify these three learning…”
Get full text

GENI: GANs Evaluation of iNjection attacks on IoT by Afrin, Sadia, Elsayed, Marwa A., Zincir-Heywood, Nur

“… In this research, we tackle the challenge of detecting SQL injection attacks and propose GENI, GANs evaluation of injection attacks on IoT networks…”
Get full text

Revolutionizing Threat Hunting in Communication Networks: Introducing a Cutting-Edge Large-Scale Multiclass Dataset by Al-Haija, Qasem Abu, Masoud, Zaid, Yasin, Assim, Alesawi, Karam, Alkarnawi, Yousef

“… In this paper, we develop a new threat-hunting model for communication networks and introduce a novel, cutting-edge, large-scale multiclass dataset to improve the security of network cognition…”
Get full text

Cyber Threat Attack Level Detection Using Machine Learning by R, Rahul, Mythili, S.

“… The study effectively proved the ability to detect numerous attack types, such as SQL injection…”
Get full text

LNKDSEA: Machine Learning Based IoT/IIoT Attack Detection Method by Koppula, Manasa, I, Leo Joseph L. M.

“…s. Practical defenses against this, including network anomaly detection, must be built to secure IoT networks…”
Get full text

Comprehensive Study of SQL Injection Attacks Mitigation Methods and Future Directions by Al-olaqi, Mohammed, Al-gailani, Ahmed, Rahman, M M Hafizur

“…Structured Query Language Injection Attack (SQLIA) as a form of cyber threats are among the most dangerous, easily penetrating the databases, and most web based applications…”
Get full text

Machine Learning Approach to Intrusion Detection: Performance Evaluation by Giraddi, Vishal, Giraddi, Shantala, D G, Narayan, Bidaragaddi, Anupama, Kanakareddi, Suvarna G

“… In this paper, authors aim to build framework based on various machine learning models (ML) to capture anomaly packets…”
Get full text

Identifying Security Threats in the System Using Automated Security Logs by Kanaparthi, Yadidiah, Abdellatif, Tamer Mohamed, Seyam, Ahmed Ali, Satrya, Gandeva Bayu

“… Several tests like failed login, unauthorized access, Denial of Service (DOS), and SQL Injection attempts were conducted to assess the security of the login page…”
Get full text