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Multi-Perspective Content Delivery Networks Security Framework Using
  Optimized Unsupervised Anomaly Detection

Multi-Perspective Content Delivery Networks Security Framework Using Optimized Unsupervised Anomaly Detection

24 July 2021
Li Yang
Abdallah Moubayed
Abdallah Shami
P. Heidari
Amine Boukhtouta
Adel Larabi
Richard Brunner
Stere Preda
D. Migault
ArXiv (abs)PDFHTML

Papers citing "Multi-Perspective Content Delivery Networks Security Framework Using Optimized Unsupervised Anomaly Detection"

17 / 17 papers shown
Title
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis
Li Yang
Mirna El Rajab
Abdallah Shami
Sami Muhaidat
125
8
0
28 Feb 2025
MTH-IDS: A Multi-Tiered Hybrid Intrusion Detection System for Internet
  of Vehicles
MTH-IDS: A Multi-Tiered Hybrid Intrusion Detection System for Internet of Vehicles
Li Yang
Abdallah Moubayed
Abdallah Shami
52
238
0
26 May 2021
A Lightweight Concept Drift Detection and Adaptation Framework for IoT
  Data Streams
A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams
Li Yang
Abdallah Shami
131
106
0
21 Apr 2021
DNS Typo-squatting Domain Detection: A Data Analytics & Machine Learning
  Based Approach
DNS Typo-squatting Domain Detection: A Data Analytics & Machine Learning Based Approach
Abdallah Moubayed
MohammadNoor Injadat
Abdallah Shami
H. Lutfiyya
AAML
41
44
0
25 Dec 2020
A Transfer Learning Framework for Anomaly Detection Using Model of
  Normality
A Transfer Learning Framework for Anomaly Detection Using Model of Normality
Sulaiman A. Aburakhia
Tareq Tayeh
Ryan Myers
Abdallah Shami
51
20
0
12 Nov 2020
Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet
  Networks
Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet Networks
Tareq Tayeh
Sulaiman A. Aburakhia
Ryan Myers
Abdallah Shami
47
32
0
09 Nov 2020
Soliciting Human-in-the-Loop User Feedback for Interactive Machine
  Learning Reduces User Trust and Impressions of Model Accuracy
Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy
Donald R. Honeycutt
Mahsan Nourani
Eric D. Ragan
HAI
74
62
0
28 Aug 2020
Multi-Stage Optimized Machine Learning Framework for Network Intrusion
  Detection
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection
MohammadNoor Injadat
Abdallah Moubayed
Ali Bou Nassif
Abdallah Shami
63
168
0
09 Aug 2020
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly
  Detection
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection
MohammadNoor Injadat
F. Salo
Ali Bou Nassif
A. Essex
Abdallah Shami
AAML
36
124
0
05 Aug 2020
On Hyperparameter Optimization of Machine Learning Algorithms: Theory
  and Practice
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice
Li Yang
Abdallah Shami
AI4CE
176
2,102
0
30 Jul 2020
Multi-split Optimized Bagging Ensemble Model Selection for Multi-class
  Educational Data Mining
Multi-split Optimized Bagging Ensemble Model Selection for Multi-class Educational Data Mining
MohammadNoor Injadat
Abdallah Moubayed
Ali Bou Nassif
Abdallah Shami
72
70
0
09 Jun 2020
Ensemble-based Feature Selection and Classification Model for DNS
  Typo-squatting Detection
Ensemble-based Feature Selection and Classification Model for DNS Typo-squatting Detection
Abdallah Moubayed
Emad Aqeeli
Abdallah Shami
48
25
0
08 Jun 2020
Systematic Ensemble Model Selection Approach for Educational Data Mining
Systematic Ensemble Model Selection Approach for Educational Data Mining
MohammadNoor Injadat
Abdallah Moubayed
Ali Bou Nassif
Abdallah Shami
57
127
0
13 May 2020
Machine Learning for Performance-Aware Virtual Network Function
  Placement
Machine Learning for Performance-Aware Virtual Network Function Placement
D. Manias
Manar Jammal
Hassan Hawilo
Abdallah Shami
P. Heidari
Adel Larabi
Richard Brunner
40
35
0
13 Jan 2020
Tree-based Intelligent Intrusion Detection System in Internet of
  Vehicles
Tree-based Intelligent Intrusion Detection System in Internet of Vehicles
Li Yang
Abdallah Moubayed
Ismail Hamieh
Abdallah Shami
40
154
0
18 Oct 2019
Scalable and Incremental Learning of Gaussian Mixture Models
Scalable and Incremental Learning of Gaussian Mixture Models
R. Pinto
P. Engel
55
10
0
14 Jan 2017
Detecting Anomalous User Behavior Using an Extended Isolation Forest
  Algorithm: An Enterprise Case Study
Detecting Anomalous User Behavior Using an Extended Isolation Forest Algorithm: An Enterprise Case Study
Li Sun
Steven Versteeg
S. Boztaş
Asha Rao
28
49
0
21 Sep 2016
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