Results 31 to 40 of about 17,788 (216)
Deteksi Serangan DDoS Menggunakan Neural Network dengan Fungsi Fixed Moving Average Window
JISKA (Jurnal Informatika Sunan Kalijaga), 2017 Distributed denial-of-service (DDoS) merupakan jenis serangan dengan volume, intensitas, dan biaya mitigasi yang terus meningkat seiring berkembangnya skala organisasi.
Arif Wirawan Muhammad +2 more
doaj +1 more source
Використання баєсівського класифікатора для ідентифікації ddos атак в комп’ютерних мережах [PDF]
, 2023 Представлено використання баєсівського класифікатора для захистку комп’ютерних мереж за допомогою ідентифікації та визначення DDOS атак.The use of a Bayesian classifier for the protection of computer networks by identifying and determining DDOS attacks ...
Захарченко, С. М. +1 more
core
Applied Computing and Informatics, 2019 The internet network is mostly victimized to the Distributed Denial of Service (DDOS) attack, which is one that intentionally occupies the computing resources and bandwidth in order to deny that services to potential users.
Indraneel Sreeram +1 more
doaj +1 more source
Scalable DDoS Mitigation System for Data Centers
Advances in Electrical and Electronic Engineering, 2015 Distributed Denial of Service attacks (DDoS) have been used by attackers for over two decades because of their effectiveness. This type of the cyber-attack is one of the most destructive attacks in the Internet.
Zdenek Martinasek
doaj +1 more source
DDOS ATTACK DETECTION USING HYBRID (CCN AND LSTM) ML MODEL
Iraqi Journal for Computers and Informatics, 2023 LSTM (Long Short-Term Memory) and CNN (Convolutional Neural Networks) are two types of deep learning algorithms; by combining the strengths of LSTM and CNN, researchers have developed deep learning models that can effectively detect SDN (Software-Defined
Thura Jabbar Khaleel +1 more
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, 2022 DDoS backscatter traffic is generated by the victim of DDoS when it is under an attack. The backscatter traffic are packets the victim generates as a response to the query packets with the spoofed source IP addresses received from the attacker.
Zadnik, M (via Mendeley Data) +1 more
core +1 more source
Construction of DDoS attacks malicious behavior knowledge base construction
Dianxin kexue, 2021 Aiming at the problem of insufficient research on the knowledge base of distributed denial of service (DDoS) network attacks, a method for constructing a knowledge base of DDoS attacks malicious behavior was proposed.The knowledge base was constructed ...
Feiyang LIU +3 more
doaj +2 more sources
Analysis of Different Types of Network Attacks on the GNS3 Platform
Sakarya University Journal of Computer and Information Sciences, 2020 In this study, DDoS, SQL injection and XSS attacks that hackers use most in cyber attacks are modeled on GNS3 emulator platform and network security is analyzed.
Burak Bitikçi, Resul Daş
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Towards Secure, Flexible and Efficient Role Based Hospital’s Cloud Management System: Case Study [PDF]
EAI Endorsed Transactions on Pervasive Health and Technology, 2020 INTRODUCTION: Many organizations of health care have recognized that quality of service can be improved bymaintaining e-records of patient’s reports, medical histories, surgeries recordings, etc.
Shilpi Harnal, R.K. Chauhan
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SD-Honeypot Integration for Mitigating DDoS Attack Using Machine Learning Approaches
JOIV: International Journal on Informatics Visualization, 2022 Distributed Denial of Services (DDoS) is still considered the main availability problem in computer networks. Developing a programmable Intrusion Prevention System (IPS) application in a Software Defined Network (SDN) may solve the specified problem ...
Fauzi Dwi Setiawan Sumadi +3 more
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