[PDF][PDF] 网络入侵检测技术综述

蹇诗婕, 卢志刚, 杜丹, 姜波, 刘宝旭 - 信息安全学报, 2020 - jcs.iie.ac.cn
摘要随着互联网时代的发展, 内部威胁, 零日漏洞和DoS 攻击等攻击行为日益增加,
网络安全变得越来越重要, 入侵检测已成为网络攻击检测的一种重要手段. 随着机器学习算法的 …

An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks

P Kumar, GP Gupta, R Tripathi - Computer Communications, 2021 - Elsevier
Abstract Internet of Medical Things (IoMT), an application of Internet of Things (IoT), is
addressing countless limitation of traditional health-care systems such as quality of patient …

Iot-based intrusion detection systems: a review

TS Mohamed, S Aydin - Smart Science, 2022 - Taylor & Francis
ABSTRACT Internet of Things (IoT) is a modern prototype that merges physical entities
affiliated with a variety of fields, like industrial tasks, firm automation, mortal fitness, and …

Image compression techniques in wireless sensor networks: A survey and comparison

BA Lungisani, CK Lebekwe, AM Zungeru… - IEEE Access, 2022 - ieeexplore.ieee.org
There is continuous intensive research on image compression techniques in wireless
sensor networks (WSNs) in the literature. Some of the image compression techniques in …

[PDF][PDF] Survey on Blockchain for Internet of Things.

H Hui, X An, H Wang, W Ju, H Yang, H Gao… - J. Internet Serv. Inf …, 2019 - isyou.info
Abstract The Internet of Things (IoT) refers to a network concept that extends its clients to any
item for information exchange and communication. Blockchain is a new application …

TRUST‐based features for detecting the intruders in the Internet of Things network using deep learning

HN Bhor, M Kalla - Computational Intelligence, 2022 - Wiley Online Library
Abstract Internet of Things (IoT) is a trending domain and has acquired much interest for
various kinds of civilian applications. The purpose of IoT is to make objects accessible and …

Adaptive intrusion detection in edge computing using cerebellar model articulation controller and spline fit

G Kumar, R Saha, M Conti, R Thomas… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Internet-of-Thing (IoT) faces various security attacks. Different solutions exist to mitigate the
intrusion problems. However, the existing solutions lack behind in dealing with …

Security, power consumption and simulations in iot device networks: a systematic review

RMPT Filho, LP Oliveira, LN Carneiro - International Conference on …, 2022 - Springer
Research efforts have been directed to propose security solutions with low energy for
Internet of Things (IoT) device, which have peculiar similarities with Wireless Sensor …

An intrusion detection method based on granular autoencoders

S Lin, K Zhang, D Guan, L He… - Journal of Intelligent & …, 2023 - content.iospress.com
Intrusion detection systems have become one of the important tools for network security due
to the frequent attacks brought about by the explosive growth of network traffic. Autoencoder …

Federated learning for network attack detection using attention-based graph neural networks

W Jianping, Q Guangqiu, W Chunming, J Weiwei… - Scientific Reports, 2024 - nature.com
Federated Learning is an effective solution to address the issues of data isolation and
privacy leakage in machine learning. However, ensuring the security of network devices and …