ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1909.10031
  4. Cited By
LuNet: A Deep Neural Network for Network Intrusion Detection
v1v2 (latest)

LuNet: A Deep Neural Network for Network Intrusion Detection

IEEE Symposium Series on Computational Intelligence (SSCI), 2019
22 September 2019
Peilun Wu
Hui Guo
ArXiv (abs)PDFHTML

Papers citing "LuNet: A Deep Neural Network for Network Intrusion Detection"

9 / 9 papers shown
DEFENDCLI: {Command-Line} Driven Attack Provenance Examination
DEFENDCLI: {Command-Line} Driven Attack Provenance Examination
Peilun Wu
Nan Sun
Nour Moustafa
Youyang Qu
Ming Ding
AAML
199
0
0
18 Aug 2025
Novelty Detection in Network Traffic: Using Survival Analysis for
  Feature Identification
Novelty Detection in Network Traffic: Using Survival Analysis for Feature IdentificationInternational Conference on Applied Algorithms (ICAA), 2023
Taylor Bradley
Elie Alhajjar
Nathaniel D. Bastian
99
8
0
16 Jan 2023
Learning to Detect: A Data-driven Approach for Network Intrusion
  Detection
Learning to Detect: A Data-driven Approach for Network Intrusion Detection
Z. Tauscher
Yushan Jiang
Kai Zhang
Jian Wang
Haoze Song
244
15
0
18 Aug 2021
On the Evaluation of Sequential Machine Learning for Network Intrusion
  Detection
On the Evaluation of Sequential Machine Learning for Network Intrusion DetectionARES (ARES), 2021
Andrea Corsini
S. Yang
Giovanni Apruzzese
149
22
0
15 Jun 2021
Launching Adversarial Attacks against Network Intrusion Detection
  Systems for IoT
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoTJournal of Cybersecurity and Privacy (JCP), 2021
Pavlos Papadopoulos
Oliver Thornewill von Essen
Nikolaos Pitropakis
C. Chrysoulas
Alexios Mylonas
William J. Buchanan
AAML
325
58
0
26 Apr 2021
Holmes: An Efficient and Lightweight Semantic Based Anomalous Email
  Detector
Holmes: An Efficient and Lightweight Semantic Based Anomalous Email DetectorInternational Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2021
Peilun Wu
Hui Guo
876
6
0
16 Apr 2021
Densely Connected Residual Network for Attack Recognition
Densely Connected Residual Network for Attack Recognition
Peilun Wu
Nour Moustafa
Shiyi Yang
Hui Guo
79
21
0
05 Aug 2020
Cyber Threat Intelligence for Secure Smart City
Cyber Threat Intelligence for Secure Smart City
Najla Al-Taleb
N. Saqib
Abdulrahman bin Faisal
S. Dash
55
9
0
26 Jul 2020
Pelican: A Deep Residual Network for Network Intrusion Detection
Pelican: A Deep Residual Network for Network Intrusion Detection
Peilun Wu
Hui Guo
Nour Moustafa
222
41
0
19 Jan 2020
1
Page 1 of 1