Detection and Correction of Abnormal IoT Data from Tea Plantations Based on Deep Learning
R Wang, J Feng, W Zhang, B Liu, T Wang, C Zhang… - Agriculture, 2023 - mdpi.com
This paper proposes a data anomaly detection and correction algorithm for the tea
plantation IoT system based on deep learning, aiming at the multi-cause and multi-feature …
plantation IoT system based on deep learning, aiming at the multi-cause and multi-feature …
Optimizing flow sampling for network anomaly detection
Sampling techniques are widely employed in high-speed network traffic monitoring to allow
the analysis of high traffic volumes with limited resources. Sampling has measurable …
the analysis of high traffic volumes with limited resources. Sampling has measurable …
TVi: A visual querying system for network monitoring and anomaly detection
A Boschetti, L Salgarelli, C Muelder… - Proceedings of the 8th …, 2011 - dl.acm.org
Monitoring, anomaly detection and forensics are essential tasks that must be carried out
routinely for every computer network. The sheer volume of data generated by conventional …
routinely for every computer network. The sheer volume of data generated by conventional …
Fail-Safe mechanism using entropy based misbehavior classification and detection in vehicular Ad Hoc networks
K Sharshembiev, SM Yoo, E Elmahdi… - … on Internet of Things …, 2019 - ieeexplore.ieee.org
A novel approach is proposed to perform real-time detection of node misbehavior using
selective flow sampling and entropy change. Nodes in vehicular ad hoc networks (VANETs) …
selective flow sampling and entropy change. Nodes in vehicular ad hoc networks (VANETs) …
Knowledge-independent traffic monitoring: Unsupervised detection of network attacks
The philosophy of traffic monitoring for detection of network attacks is based on an acquired
knowledge perspective: current techniques detect either the well-known attacks on which …
knowledge perspective: current techniques detect either the well-known attacks on which …
CoreFlow: Enriching Bro security events using network traffic monitoring data
Attacks against network infrastructures can be detected by Intrusion Detection Systems
(IDS). Still reaction to these events are often limited by the lack of larger contextual …
(IDS). Still reaction to these events are often limited by the lack of larger contextual …
Sequential defense against random and intentional attacks in complex networks
Network robustness against attacks is one of the most fundamental researches in network
science as it is closely associated with the reliability and functionality of various networking …
science as it is closely associated with the reliability and functionality of various networking …
Optimized classification of firewall log data using heterogeneous ensemble techniques
D Sharma, V Wason, P Johri - 2021 International Conference …, 2021 - ieeexplore.ieee.org
In the ever-increasing time of network data exchange, the need for a smarter and automatic
filter for web data packets is a priority. Hence, in this research study, an optimized solution …
filter for web data packets is a priority. Hence, in this research study, an optimized solution …
Inside packet sampling techniques: exploring modularity to enhance network measurements
Traffic sampling is viewed as a prominent strategy contributing to lightweight and scalable
network measurements. Although multiple sampling techniques have been proposed and …
network measurements. Although multiple sampling techniques have been proposed and …
High-speed network traffic measurement method
周爱平， 程光， 郭晓军 - Journal of Software, 2013 - jos.org.cn
高速网络流量测量是目前实施实时准确地监测, 管理和控制网络的基础. 基于网络流量测量的
应用, 将网络流量测量分为抽样方法和数据流方法. 从不同的层次, 将抽样方法分为分组抽样和流 …
应用, 将网络流量测量分为抽样方法和数据流方法. 从不同的层次, 将抽样方法分为分组抽样和流 …