Results 81 to 90 of about 12,963 (201)
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
Reaction to New Security Threat Class [PDF]
, 2014 Each new identified security threat class triggers new research and development efforts by the scientific and professional communities. In this study, we investigate the rate at which the scientific and professional communities react to new identified ...
Elovici, Yuval, Rokach, Lior
core
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
doaj +1 more source
Critical issue to consider while developing SQL injection prevention mechanism [PDF]
, 2015 SQL injection vulnerability is the one of the most common web-based application vulnerabilities that can be exploited by SQL injection attack to gain access to restricted data, bypass authentication mechanism and execute unauthorized data manipulation ...
Aliero, Muhammad Saidu +3 more
core
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
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
doaj +1 more source
Static Analysis for Discovering Security Vulnerabilities in Web Applications on the Asp.Net Platform [PDF]
, 2014 Tato bakalářská práce popisuje jak teoretické základy, tak způsob vytvoření statického analyzátoru založeném na platformě .NET Framework a službách poskytnutých prostřednictvím .NET Compiler Platform.
Říha, Jakub
core
Pengujian Dan Analisa Keamanan Website Terhadap Serangan SQL Injection (Studi Kasus : Website UMK) [PDF]
, 2014 Keamanan merupakan salah satu faktor penting yang harus diperhatikan dalam membangun sebuah website. Hal tersebut menjadi sebuah tantangan tersendiri bagi para pengembang website, karena tidak ada jaminan yang pasti akan defenisi aman? itu sendiri. Tidak
Anggraini, L. H. (Laelly) +3 more
core
Web Security Detection Tool [PDF]
, 2008 According to Government Computer News (GCN) web attacks have been marked as all- time high this year. GCN says that some of the leading security software like SOPHOS detected about 15,000 newly infected web pages daily in initial three months of 2008 [13]
Agashe, Abhishek
core +1 more source
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
openaire +2 more sources