A survey on space-air-ground-sea integrated network security in 6G

H Guo, J Li, J Liu, N Tian, N Kato - … Communications Surveys & …, 2021 - ieeexplore.ieee.org
Space-air-ground-sea integrated network (SAGSIN), which integrates satellite
communication networks, aerial networks, terrestrial networks, and marine communication …

Blockchain meets metaverse and digital asset management: A comprehensive survey

VT Truong, L Le, D Niyato - Ieee Access, 2023 - ieeexplore.ieee.org
Envisioned to be the next-generation Internet, the metaverse has been attracting enormous
attention from both the academia and industry. The metaverse can be viewed as a 3D …

Deep learning approach for intelligent intrusion detection system

R Vinayakumar, M Alazab, KP Soman… - Ieee …, 2019 - ieeexplore.ieee.org
Machine learning techniques are being widely used to develop an intrusion detection
system (IDS) for detecting and classifying cyberattacks at the network-level and the host …

BAT: Deep learning methods on network intrusion detection using NSL-KDD dataset

T Su, H Sun, J Zhu, S Wang, Y Li - IEEE Access, 2020 - ieeexplore.ieee.org
Intrusion detection can identify unknown attacks from network traffics and has been an
effective means of network security. Nowadays, existing methods for network anomaly …

An enhanced intrusion detection model based on improved kNN in WSNs

G Liu, H Zhao, F Fan, G Liu, Q Xu, S Nazir - Sensors, 2022 - mdpi.com
Aiming at the intrusion detection problem of the wireless sensor network (WSN), considering
the combined characteristics of the wireless sensor network, we consider setting up a …

Real-time DDoS attack detection system using big data approach

MJ Awan, U Farooq, HMA Babar, A Yasin, H Nobanee… - Sustainability, 2021 - mdpi.com
Currently, the Distributed Denial of Service (DDoS) attack has become rampant, and shows
up in various shapes and patterns, therefore it is not easy to detect and solve with previous …

A survey on data-driven network intrusion detection

D Chou, M Jiang - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Data-driven network intrusion detection (NID) has a tendency towards minority attack
classes compared to normal traffic. Many datasets are collected in simulated environments …

A novel two-stage deep learning model for network intrusion detection: LSTM-AE

V Hnamte, H Nhung-Nguyen, J Hussain… - Ieee …, 2023 - ieeexplore.ieee.org
Machine learning and deep learning techniques are widely used to evaluate intrusion
detection systems (IDS) capable of rapidly and automatically recognizing and classifying …

Research on artificial intelligence enhancing internet of things security: A survey

H Wu, H Han, X Wang, S Sun - Ieee Access, 2020 - ieeexplore.ieee.org
Through three development routes of authentication, communication, and computing, the
Internet of Things (IoT) has become a variety of innovative integrated solutions for specific …

Detection and mitigation of DDoS attacks in SDN: A comprehensive review, research challenges and future directions

J Singh, S Behal - Computer Science Review, 2020 - Elsevier
Many security solutions have been proposed in the past to protect Internet architecture from
a diversity of malware. However, the security of the Internet and its applications is still an …