Results 111 to 120 of about 13,413,861 (210)

STAG-GuardNet: UAV-Assisted Spatio-Temporal Attack Graph Learning for Secure IoT Communication in Smart EV Charging Networks. [PDF]

Sensors (Basel)
Alshdadi AA.
europepmc   +1 more source

Intelligent DDoS Attack Detection in Software-Defined Networks Using Explainable Machine Learning. [PDF]

Sensors (Basel)
Malik JA, Naz NS, Saleem M, Khan MA.
europepmc   +1 more source

LITH: A Lightweight Behavioral Anomaly-to-Hunt-Lead Framework for IoT Sensor Ecosystems. [PDF]

Sensors (Basel)
Bamashmoos F, Khairullah E.
europepmc   +1 more source

AI-Driven Cybersecurity for Defense Networks: A Mathematical Approach with DDoS Attack Analysis [PDF]

This paper presents a novel machine-learning pipeline tailored for proactive cyber defense within high-stakes military networks, addressing the pressing need to detect and neutralize sophisticated threats such as Distributed Denial-of-Service (DDoS ...
Neelesh, Mungoli
core  

LOW-RATE DDOS ATTACK DETECTION USING HYBRID NEURAL NETWORK

IZVESTIYA SFedU. ENGINEERING SCIENCES, 2016
E.S. Abramov, Y.V. Tarasov, E.P. Tumoyan
openaire   +1 more source

Liquid neural networks for adaptive DDoS detection in IoT and SDN environments. [PDF]

Sci Rep
Raza M, Sattar MA, Jahangir Z, Billah M.
europepmc   +1 more source

スケッチデータ構造を用いた低速DDoS攻撃検出の検討

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, Okazaki, Naonobu, Fuji, Ryusei, 岡崎, 直宣, アブラダ, ケンタロウ, Aburada, Kentaro, ヤマバ, ヒサアキ, Ii, Kosei, 井, 康成   +14 more
core  

DDoS attack and defence in cloud

, 2014
© 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 ...
S Yu (7291433)
core  

Attention-enhanced deep learning model for MQTT intrusion detection in internet of medical things. [PDF]

Front Artif Intell
Singhal S, Kumar KA.
europepmc   +1 more source

Privacy-preserving intrusion detection in IoT smart homes using a federated hybrid 1D-CNN-LSTM model with explainable AI. [PDF]

Sci Rep
Abdelhady G, Hussein KW, Gad IAA.
europepmc   +1 more source