Results 51 to 60 of about 980 (175)
AI‐Powered Defense: Leveraging Deep Learning for Effective Malware Detection
Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.Traditional malware detection techniques frequently fail to detect and stop malicious activity in an era where cyber threats are becoming more complex. Any software that enters a computer system without the administrator’s consent is considered malicious software.
Nancy Awadallah Awad +1 more
wiley +1 more source
MathematicsSince SQL injection allows attackers to interact with the database of applications, it is regarded as a significant security problem. By applying machine learning algorithms, SQL injection attacks can be identified.
Bahman Arasteh +3 more
doaj +1 more source
Injection, Detection, Prevention of SQL Injection Attacks
International Journal of Computer Applications, 2014 SQL injections have been always the top most priority for any website and web application. Every web application and website developed in php, asp.net, jsp which is connected to the database like MySQL, Microsoft SQL Server, and oracle are prone to SQL injection attacks. Most of the websites are created by using open source language such as php.
Pratik Adhikari, Abhay K.Kolhe
openaire +1 more source
Textual Manipulation for SQL Injection Attacks [PDF]
International Journal of Computer Network and Information Security, 2013 Abstrac—SQL injection attacks try to use string or text manipulations to access illegally websites and their databases. This is since using some symbols or characters in SQL statements may trick the authentication system to incorrectly allow such SQL statements to be processed or executed.
Hussein AlNabulsi +2 more
openaire +1 more source
Lightweight Deep Learning Approach for Intelligent Intrusion Detection in IoT Networks
International Journal of Distributed Sensor Networks, Volume 2026, Issue 1, 2026.Intrusion detection system (IDS) is designed to analyze and monitor the network traffic to identify unauthorized access or attacks in an Internet of Things (IoT). IDS assists in protecting IoT devices and networks by recognizing malicious activities and preventing potential breaches.
Srikanth Mudiyanuru Sriramappa +5 more
wiley +1 more source
A Deep Learning Approach Using Optimized LSTM for Anomaly‐Based Network Intrusion Detection
Journal of Engineering, Volume 2026, Issue 1, 2026.With the exponential rise in cyber threats, anomaly‐based network intrusion detection systems (NIDSs) have become critical for maintaining robust cybersecurity. This article proposes an optimized long short‐term memory (LSTM) deep learning (DL) model specifically designed to detect anomalies in network traffic.
Samia Dardouri, Shikha Binwal
wiley +1 more source
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
Sql Injection Attacks And Prevention Techniques [PDF]
2006 Annual Conference & Exposition Proceedings, 2020 Comment: 12 ...
openaire +2 more sources
A Comprehensive Survey on LLM‐Based Network Management and Operations
International Journal of Network Management, Volume 35, Issue 6, November/December 2025.ABSTRACT The growing demands for network capacity and the increasing complexities of modern network environments pose significant challenges for effective network management and operations. In response, network operators and administrators are moving beyond traditional manual and rule‐based methods, adopting advanced artificial intelligence (AI)‐driven
Jibum Hong +2 more
wiley +1 more source
A Modular Dynamic Probabilistic Risk Assessment Framework for Electric Grid Cybersecurity
Engineering Reports, Volume 7, Issue 10, October 2025.This paper presents a modular framework designed for dynamic probabilistic risk assessment of electric grid systems facing cybersecurity threats. The functionality and efficacy of the framework have been demonstrated using an IEEE 14‐bus system in a case study.
Xiaoxu Diao +6 more
wiley +1 more source