Results 101 to 110 of about 13,413,861 (210)

スケッチ データ コウゾウ オ モチイ タ テイソクDDoS コウゲキ ケンシュツ ノ ケントウ [PDF]

The sketch data structure is a technique for extracting characteristics of traffic at high speed by expressing a large amount of data in a small amount of area using a plurality of hash functions. In the DDoS attack detection method using the sketch data
オカザキ, ナオノブ, Yamaba, Hisaaki, 山場, 久昭, 油田, 健太郎, 藤, 竜成, イイ, コウセイ, フジ, リュウセイ, 60260741, Okazaki, Naonobu, Fuji, Ryusei, 11847, 30433410, 岡崎, 直宣, 11839, 31739, アブラダ, ケンタロウ, Aburada, Kentaro, 31656, ヤマバ, ヒサアキ, Ii, Kosei, 井, 康成, 14888, 90347047   +22 more
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DDoS attack and defence in cloud

, 2023
© The Author(s) 2014. In this chapter, we explore DDoS attack and defence in the incoming dominant cloud computing platform. We firstly answer the question whether we can beat DDoS attacks in cloud with its current attack capability or not, and the cost ...
Shui Yu (13096809)
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Protecting information systems from DDoS attack using multicore methodology

, 2008
Protecting Information Systems from DDoS Attack Using Multicore ...
Xiang, Yang., Knapp, Keith., K. Knapp, Yang Xiang, K Knapp (9874220), Zhou, Wanlei., W Zhou (7715300), Wanlei Zhou, Chonka, Ashley., Ashley Chonka (9786989), A. Chonka, Yang Xiang (9847142)   +11 more
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Automation of DDoS Attack Mitigation

, 2018
The aim of this thesis is automation of DDoS attack mitigation. This thesis provides an overview of GNU/Linux network platforms and different approaches for their configuration.
Nagy, Peter
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Modelling and simulation of DDOS Attack using SimEvents [PDF]

, 2014
At the beginning of the 21st century, a new form of denial of service (DoS) attack emerged which is the Distributed DoS (DDoS). This new form of attack was launched on huge number of prominent websites such as yahoo, e-bay, Amazon, and buy.com, resulting
Bala, Abubakar, Osais, Yahya
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Federated edge AI framework for resilient DDoS defense in edge computing

Discover Artificial Intelligence
Edge computing enables low-latency and bandwidth-efficient processing near end devices and serves as a critical component of modern digital infrastructure.
S Durga, S Deepakanmani, Esther Daniel, N. L Asrita, Bright Gee Varghese Rajappan   +4 more
doaj   +1 more source

Online machine learning for proactive threat intelligence and timely DDoS attack prediction

Journal of Cloud Computing: Advances, Systems and Applications
Distributed Denial of Service (DDoS) attacks are rapidly escalating in scale and sophistication, posing critical threats to modern cloud infrastructures.
Rrezearta Thaqi, Gabriele Lenzini, Marcus Völp, Blerim Rexha   +3 more
doaj   +1 more source

Detecting DDoS attacks using a hybrid model

, 2018
A Distributed Denial of Service (DDoS) attack can disrupt and damage businesses by preventing legitimate users from accessing its resources. Some estimate their losses to be at 500$ per minute of DDoS.
Caychingco, Jedidiah
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ML Based Detection & Classification of High- and Low-Rate DDoS Attacks

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
The Machine Learning-Based Detection and Classification of High-Rate (HR) and Low-Rate (LR) DDoS Attacks system is designed to strengthen network security by identifying and categorizing different types of attack traffic. This intelligent detection framework leverages machine learning techniques to analyze network behaviour and distinguish between ...
openaire   +1 more source

A novel multi-scale CNN and Bi-LSTM arbitration dense network model for low-rate DDoS attack detection. [PDF]

Sci Rep
Yin X, Fang W, Liu Z, Liu D.
europepmc   +1 more source