Results 101 to 110 of about 202,806,789 (237)

A Novel Method of Using Machine Learning Techniques to Protect Clouds Against Distributed Denial of Service (DDoS) Attacks.

Babylonian Journal of Machine Learning
The term "cloud computing" describes a method of providing hardware- and software-based services over the internet. This allows users to access their data and apps from any device.
S. Devi, Pranjal Maury, U. Tripathi
semanticscholar   +1 more source

MLDAS: Machine Learning Dynamic Algorithm Selection for Software‐Defined Networking Security

Concurrency and Computation: Practice and Experience, Volume 38, Issue 5, March 2026.
ABSTRACT Network security is a critical concern in the digital landscape of today, with users demanding secure browsing experiences and protection of their personal data. This study explores the dynamic integration of Machine Learning (ML) algorithms with Software‐Defined Networking (SDN) controllers to enhance network security through adaptive ...
Pablo Benlloch, Oscar Romero, Antonio Leon, Jaime Lloret   +3 more
wiley   +1 more source

Network Protection Against DDoS Attacks

International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems, 2015
The paper deals with possibilities of the network protection against Distributed Denial of Service attacks (DDoS). The basic types of DDoS attacks and their impact on the protected network are presented here.
Petr Dzurenda, Zdenek Martinasek, Lukas Malina   +2 more
doaj   +1 more source

A pattern recognition scheme for Distributed Denial of Service (DDoS) attacks in wireless sensor networks

, 2006
A pattern recognition scheme for Distributed Denial of Service (DDoS) attacks in wireless sensor ...
AI Khan (15816713), Zubair Baig (13059939), M Baqer (13498297)   +2 more
core  

Machine Learning Techniques for Detecting Distributed Denial of Service (DDoS) Attacks [PDF]

Machine Learning Techniques for Detecting Distributed Denial of Service (DDoS) Attacks — Kean University Research ...
Marte, Caesar
core  

PENGEMBANGAN PENCEGAHAN SERANGAN DISTRIBUTED DENIAL OF SERVICE (DDOS) PADA SUMBER DAYA JARINGAN DENGAN INTEGRASI NETWORK BEHAVIOR ANALYSIS DAN CLIENT PUZZLE

JUTI: Jurnal Ilmiah Teknologi Informasi, 2015
Denial of Service (DoS) merupakan permasalahan keamanan jaringan yang sampai saat ini terus berkembang secara dinamis. Semakin tinggi kemampuan komputasi suatu komputer penyerang, serangan DoS yang dapat dihasilkan juga semakin membahayakan. Serangan ini
Septian Geges, Waskitho Wibisono
doaj   +1 more source

DDoS Protection With IPtables

, 2016
Research on the most effective Linux iptables rules to mitigate Distributed Denial of Service (DDoS ...
Oesterling, Constantin
core   +4 more sources

An Efficient Detection Mechanism for Distributed Denial of Service (DDoS) Attack

CoRR, 2013
arXiv admin note: substantial text overlap with arXiv:1103.3333, arXiv:1101.2715 by other ...
Saravanan Kumarasamy, R. Asokan
openaire   +2 more sources

Characterization of Defense Mechanisms against Distributed Denial of Service Attacks

, 1997
We propose a characterization of distributed denial-of-service (DDOS) defenses where reaction points are network-based and attack responses are active.
Kathleen M. Carley, Li-chiou Chen, Of Service Attacks, Thomas A. Longstaff   +3 more
core  

TRAFFIC REDIRECTION WITH DISTRIBUTED DENIAL OF SERVICE SEGMENT IDENTIFIERS [PDF]

, 2018
Distributed Denial of Service (DDoS) information is extended to a network Path Computation Element (PCE). The PCE uses a network function Segment Identifier (SID), referred to herein as a DDoS SID, imposed on the edge routers by the PCE, to identify ...
Sivabalan, Siva, Barton, Robert, Henry, Jerome   +2 more
core   +1 more source