A comprehensive systematic literature review on intrusion detection systems
Effectively detecting intrusions in the computer networks still remains problematic. This is
because cyber attackers are changing packet contents to disguise the intrusion detection …
because cyber attackers are changing packet contents to disguise the intrusion detection …
[HTML][HTML] A systematic literature review of recent lightweight detection approaches leveraging machine and deep learning mechanisms in Internet of Things networks
GAL Mukhaini, M Anbar, S Manickam… - Journal of King Saud …, 2023 - Elsevier
Abstract The Internet of Things (IoT) connects daily use devices to the Internet, such as
home appliances, health care equipment, sensors, and industrial devices. Concurrently …
home appliances, health care equipment, sensors, and industrial devices. Concurrently …
[HTML][HTML] Collaborative device-level botnet detection for internet of things
Cyber attacks on the Internet of Things (IoT) have seen a significant increase in recent years.
This is primarily due to the widespread adoption and prevalence of IoT within domestic and …
This is primarily due to the widespread adoption and prevalence of IoT within domestic and …
An enhanced intrusion detection system for IoT networks based on deep learning and knowledge graph
X Yang, G Peng, D Zhang, Y Lv - Security and Communication …, 2022 - Wiley Online Library
Nowadays, the intrusion detection system (IDS) plays a crucial role in the Internet of Things
(IoT) networks, which could effectively protect sensitive data from various attacks. However …
(IoT) networks, which could effectively protect sensitive data from various attacks. However …
A malicious network traffic detection model based on bidirectional temporal convolutional network with multi-head self-attention mechanism
S Cai, H Xu, M Liu, Z Chen, G Zhang - Computers & Security, 2024 - Elsevier
The increasingly frequent network intrusions have brought serious impacts to the production
and life, thus malicious network traffic detection has received more and more attention in …
and life, thus malicious network traffic detection has received more and more attention in …
[HTML][HTML] Radio fingerprinting for anomaly detection using federated learning in LoRa-enabled Industrial Internet of Things
Abstract Long Range (LoRa) communications are gaining popularity in the Industrial Internet
of Things (IIoT) domain due to their large coverage and high energy efficiency. However …
of Things (IIoT) domain due to their large coverage and high energy efficiency. However …
CMD: co-analyzed iot malware detection and forensics via network and hardware domains
With the widespread use of Internet of Things (IoT) devices, malware detection has become
a hot spot for both academic and industrial communities. Existing approaches can be …
a hot spot for both academic and industrial communities. Existing approaches can be …
Panop: Mimicry-resistant ann-based distributed nids for iot networks
Recently, using artificial neural networks (ANNs) for network intrusion detection systems
(NIDSs) has drawn much attention from security researchers. The capability of ANNs to learn …
(NIDSs) has drawn much attention from security researchers. The capability of ANNs to learn …
Extra Tree 와ANN 을활용한이상탐지및공격유형분류메커니즘.
김민규， 한명묵 - Journal of Korean Society for Internet …, 2022 - search.ebscohost.com
요 약이상 탐지는 일반적인 사용자들의 데이터 집합 속에서 비정상적인 데이터 흐름을
파악하여 미리 차단하는 방법이다. 기존에 알려진 방식은 이미 알려진 공격의 시그니처를 …
파악하여 미리 차단하는 방법이다. 기존에 알려진 방식은 이미 알려진 공격의 시그니처를 …
IoT 환경을위한인공지능기반네트워크침입탐지시스템
하회리 - 2021 - s-space.snu.ac.kr
최근 인공지능을 사용한 네트워크 침입 탐지 시스템 (NIDS) 이 각광받고 있다. 이는 많은 양의
raw data 에서 복잡한 패턴을 찾을 수 있는 딥러닝 기법의 효율성 때문이다. 네트워크 침입 탐지 …
raw data 에서 복잡한 패턴을 찾을 수 있는 딥러닝 기법의 효율성 때문이다. 네트워크 침입 탐지 …