Results 51 to 60 of about 202,806,789 (237)
A deep learning based intelligent framework to mitigate DDoS attack in fog environment
Fog computing (FC) is a contemporary computing paradigm that gives additional support to cloud environment by carrying out some local data analysis in edge of the devices, facilitating networking, computing, infrastructure and storage support as backbone
Rojalina Priyadarshini +1 more
doaj +1 more source
Software Defined Networking (SDN) has many advantages over a traditional network. The great advantage of SDN is that the network control is physically separated from forwarding devices. SDN can solve many security issues of a legacy network. Nevertheless,
Myo Myint Oo +3 more
semanticscholar +1 more source
A distributed denial of service testbed [PDF]
The Denial of Service Testing Framework (dosTF) being developed as part of the joint India-Australia research project for ‘Protecting Critical Infrastructure from Denial of Service Attacks’ allows for the construction, monitoring and management of ...
Clark, Andrew +15 more
core +1 more source
Evaluation of Boruta algorithm in DDoS detection
Distributed Denial of Service (DDoS) is a type of attack that leverages many compromised systems or computers, as well as multiple Internet connections, to flood targeted resources simultaneously.
Noor Farhana +3 more
doaj +1 more source
The major problem of internet security is a Distributed Denial-of-Service (DDoS) attack, which can’t be detected easily. This attack is said to have occurred when lots of service requests are simultaneously received at a server on the internet.
Bhargavi Goparaju, Badde.Srinivasa Rao
semanticscholar +1 more source
VAE‐Based SPC for Botnet Detection in IoT Systems
ABSTRACT The rapid proliferation of Internet of Things (IoT) devices has created new security risks, particularly botnet infections. This paper proposes an unsupervised monitoring framework that combines a β$\beta$‐variational autoencoder (VAE) with multivariate statistical process control (SPC) for botnet detection in IoT networks.
Jorge Proaño +3 more
wiley +1 more source
Detecting High and Low Intensity Distributed Denial of Service (DDoS) Attacks [PDF]
<p>High and low-intensity attacks are two common Distributed Denial of Service (DDoS) attacks that disrupt Internet users and their daily operations. Detecting these attacks is important to ensure that communication, business operations, and education facilities can run smoothly.
openaire +2 more sources
Klasifikasi Serangan Distributed Denial-of-Service (DDoS) Menggunakan Metode Data Mining Naïve Bayes [PDF]
Pada titik ini, perkembangan dunia internet yang semakin pesat. Akibatnya makin banyak informasi yang tersebar dan makin banyak pula pengguna ilegal yang mencoba untuk mencuri informasi tersebut, yaitu hacker.
Zidane, Muamar
core
Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi +2 more
wiley +1 more source
Review of Recent Detection Methods for HTTP DDoS Attack
With increment in dependency on web technology, a commensurate increase has been noted in destructive attempts to disrupt the essential web technologies, hence leading to service failures.
Ghafar A. Jaafar +2 more
doaj +1 more source

