1 publication

• Published Subscription 12 Jun 2023

  A Model for Intrusion Detection and Prevention in a Database System Using Deep Learning

  By Oplekwu Sussan, D. Matthias, V.I.E. Anireh

  Abstract: With emerging and improved technologies, attacks on database systems and network have also increased. Among the top 10 security weaknesses mentioned, SQL injection and cross-site scripting attacks are the two most significant that cause anomalies in Database Systems. Although these datasets in the database may contain outliers which are typically abnormalities, and therefore accurate classification is necessary in order to prevent false alarms and identify these anomalies. This research created …

  Published in Journal of Web Engineering & Technology · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article →