مشروع البحث:
COMPUTER NETWORK INTRUSION DETECTION USING CASCADE BACK PROPAGATION NEURAL NETWORK

dc.contributor.advisorAsst. Prof. Dr. Oğuz ATA
dc.contributor.advisorAsst. Prof. Dr. Doğu Çağdaş ATİLLA
dc.contributor.advisorAsst. Prof. Dr. Aytuğ BOYACI
dc.date.accessioned2025-02-11T08:53:16Z
dc.date.available2025-02-11T08:53:16Z
dc.descriptionThe outbreak of security systems and their expansion is inspired by the necessity of privacy for sensitively natured data, especially over the cloud servers[8]. Such kind of data imposed the need for solid firewalls to prevent any stolen or snooping attempt[9].
dc.description.abstractSecurity over the internet network is demanded, protecting the personal data and governing the users access so that privacy level is maintained. This task is more complicated since the internet is a public network that gives access to everyone, even to those users with malicious activities hence an attacker may steal a users’ credentials, allowing them to access the server without being recognized. Wide expansion on computer and internet network increases the chances of network intrusion where hacking a malicious activity are more likely to exists. Internet is considered as public network where all the parties required to exchange the data need to share it over the internet through a server or cloud. The data being available in servers or clouds; its safety is limited to the strength of cloud, server, etc.
dc.identifier457
dc.identifier.urihttps://dspace.academy.edu.ly/handle/123456789/1321
dc.subjectCOMPUTER NETWORK
dc.titleCOMPUTER NETWORK INTRUSION DETECTION USING CASCADE BACK PROPAGATION NEURAL NETWORK
dspace.entity.typeProject
project.endDate2022
project.funder.nameعلوم الحاسوب
project.investigatorسارة الفيتوري القطيط
project.startDate2021
relation.isOrgUnitOfProject784d19bf-029a-47b8-b883-c9daefb34588
relation.isOrgUnitOfProject.latestForDiscovery784d19bf-029a-47b8-b883-c9daefb34588
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