Results 1 to 10 of about 522,592 (298)

Machine Learning Techniques to Detect a DDoS Attack in SDN: A Systematic Review

open access: yesApplied Sciences, 2023
The recent advancements in security approaches have significantly increased the ability to identify and mitigate any type of threat or attack in any network infrastructure, such as a software-defined network (SDN), and protect the internet security ...
Tariq Emad Ali   +2 more
semanticscholar   +1 more source

Deep Learning Approach for SDN-Enabled Intrusion Detection System in IoT Networks

open access: yesInf., 2023
Owing to the prevalence of the Internet of things (IoT) devices connected to the Internet, the number of IoT-based attacks has been growing yearly. The existing solutions may not effectively mitigate IoT attacks. In particular, the advanced network-based
Rajasekhar Chaganti   +3 more
semanticscholar   +1 more source

An Intrusion Detection System for SDN Using Machine Learning

open access: yesIntelligent Automation and Soft Computing, 2023
Software Defined Networking (SDN) has emerged as a promising and exciting option for the future growth of the internet. SDN has increased the flexibility and transparency of the managed, centralized, and controlled network.
G. Logeswari, S. Bose, T. Anitha
semanticscholar   +1 more source

IoT Anomaly Detection with 1D CNN Using P4 Capabilities

open access: yesActa Electrotechnica et Informatica, 2023
Although the Internet of Things (IoT) is a rapidly developing technology, it also brings a number of security challenges, such as IoT attacks. Currently, research on IoT anomaly detection in Software-Defined Networking (SDN) relies only on the control ...
Altangerel Gereltsetseg   +2 more
doaj   +1 more source

PROGRAM LITERASI SDN 193 PEKANBARU, SDN 190 PEKANBARU, SDN 181 PEKANBARU, SDN 177 PEKANBARU

open access: yesJournal Central Publisher, 2023
Latar Belakang : Program literasi telah menjadi perhatian penting dalam pendidikan di seluruh dunia, termasuk di Indonesia. Tujuan : Penelitian ini bertujuan untuk menginvestigasi implementasi program literasi di sekolah dasar di daerah Riau, dengan fokus pada empat sekolah dasar yaitu SDN 193 Pekanbaru, SDN 190 Pekanbaru, SDN 181 Pekanbaru, dan SDN ...
null Emelia   +4 more
openaire   +1 more source

BLOCKCHAIN-BASED NETWORK FUNCTIONS VIRTUALIZATION FOR 5G NETWORK SLICING [PDF]

open access: yesActa Electrotechnica et Informatica, 2021
The paper proposes a new blockchain-based network architecture for 5G network functions virtualization. By using a combination of AI and blockchain technologies, proposed system provides flexible network deployment, interoperability between different ...
Taras MAKSYMYUK   +5 more
doaj   +1 more source

A Promising Integration of SDN and Blockchain for IoT Networks: A Survey

open access: yesIEEE Access, 2023
The state of computer network technologies has continually advanced at a rapid pace. Software Defined Networking (SDN) and Blockchain (BC) have emerged as complementary technologies providing support that facilitates greater security and greater network ...
S. W. Turner   +3 more
semanticscholar   +1 more source

Inverse and Direct Maxflow Problem Study on the Free-Oriented ST-Planar Network Graph

open access: yesProceedings of the International Conference on Applied Innovations in IT, 2023
The issues of telecommunication network engineering are considered in the context of digital flows optimal scheduling. Introduced the concept of the free-oriented network graph as an enhanced math model of the modern software defined networking ...
Victor Tikhonov   +6 more
doaj   +1 more source

Program Literasi di SDN 112 Pekanbaru, SDN 161 Pekanbaru, SDN 018 Kubang Raya dan SDN 028 Rimbo Panjang

open access: yesPESHUM : Jurnal Pendidikan, Sosial dan Humaniora, 2023
The problem in this study is related to the implementation of literacy in elementary schools (SD). This study uses a literature study from previous research observation reports. Data tracking is done by conducting searches during observations in elementary schools.
null Angguni Yasmin   +4 more
openaire   +1 more source

DDOS ATTACK DETECTION USING HYBRID (CCN AND LSTM) ML MODEL

open access: yesIraqi 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
doaj   +1 more source

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