Employing a Machine Learning Approach to Detect Combined Internet of Things Attacks Against Two Objective Functions Using a Novel Dataset (2020)
Journal Article
Foley, J., Moradpoor, N., & Ochen, H. (2020). Employing a Machine Learning Approach to Detect Combined Internet of Things Attacks Against Two Objective Functions Using a Novel Dataset. Security and Communication Networks, 2020, Article 2804291. https://doi.org/10.1155/2020/2804291

One of the important features of Routing Protocol for Low-Power and Lossy Networks (RPL) is Objective Function (OF). OF influences an IoT network in terms of routing strategies and network topology. On the other hand, detecting a combination of attac... Read More about Employing a Machine Learning Approach to Detect Combined Internet of Things Attacks Against Two Objective Functions Using a Novel Dataset.

A Pattern Recognition Neural Network Model for Detection and Classification of SQL Injection Attacks (2015)
Journal Article
Moradpoor Sheykhkanloo, N. (2015). A Pattern Recognition Neural Network Model for Detection and Classification of SQL Injection Attacks. International Journal of Computer, Electrical, Automation, Control and Information Engineering, 9(6), 1443-1453

Thousands of organisations store important and confidential information related to them, their customers, and their business partners in databases all across the world. The stored data ranges from less sensitive (e.g. first name, last name, date of b... Read More about A Pattern Recognition Neural Network Model for Detection and Classification of SQL Injection Attacks.

SQL-IDS: evaluation of SQLi attack detection and classification based on machine learning techniques (2015)
Presentation / Conference Contribution
Sheykhkanloo, N. M. (2015, September). SQL-IDS: evaluation of SQLi attack detection and classification based on machine learning techniques. Presented at 8th International Conference on Security of Information and Networks - SIN '15, Sochi, Russia

Structured Query Language injection (SQLi) attack is a code injection technique where malicious SQL statements are inserted into a given SQL database by simply using a web browser. Injected SQL commands can alter the database and thus compromise the... Read More about SQL-IDS: evaluation of SQLi attack detection and classification based on machine learning techniques.

Employing Neural Networks for the Detection of SQL Injection Attack (2014)
Presentation / Conference Contribution
Sheykhkanloo, N. M. (2014, September). Employing Neural Networks for the Detection of SQL Injection Attack. Presented at 7th International Conference on Security of Information and Networks - SIN '14, Glasgow, UK

Structured Query Language Injection (SQLI) attack is a code injection technique in which malicious SQL statements are inserted into the SQL database by simply using web browsers. SQLI attack can cause severe damages on a given SQL database such as lo... Read More about Employing Neural Networks for the Detection of SQL Injection Attack.