Results 61 to 70 of about 13,413,861 (210)
The length of winter influences the dissolved oxygen dynamics in a large ice‐covered dimictic lake
Abstract In dimictic lakes, under‐ice dissolved oxygen (DO) is shaped by stratification and mixing, oxygen consumption, and late‐winter algal production, which can increase upper‐water DO as light availability rises. Despite growing interest in these dynamics, late‐winter DO remains poorly documented due to inherent dangers of sampling on thin ice.
Lidi Shi, Mathew Wells, Joelle Young
wiley +1 more source
Impact of Defending Strategy Decision on DDoS Attack
Distributed denial-of-service (DDoS) attack is a serious threat to cybersecurity. Many strategies used to defend against DDoS attacks have been proposed recently.
Chunming Zhang
core +1 more source
ABSTRACT The rapid growth of the Internet of Things (IoT) creates concern around multilayer cyber‐attacks that exploit interactions between physical, network, and application layers. Traditional Intrusion Detection Systems (IDS) often utilize outdated datasets, high dimensional features, or computationally heavy deep learning models, which are not ...
Badeea Al Sukhni +4 more
wiley +1 more source
The detection method of low-rate DoS attack based on multi-feature fusion
As a new type of Denial of Service (DoS) attacks, the Low-rate Denial of Service (LDoS) attacks make the traditional method of detecting Distributed Denial of Service Attack (DDoS) attacks useless due to the characteristics of a low average rate and ...
Liang Liu +3 more
doaj +1 more source
SUMMARY Drought severely limits rapeseed productivity, but the role of NAD kinase in this process remains unclear. Here, we identify BnaA07.NADK3 as a drought‐ and ABA‐inducible peroxisomal NADK in Brassica napus. Overexpression of BnaA07.NADK3 enhanced drought tolerance, whereas CRISPR/Cas9‐edited lines showed reduced drought tolerance ...
Jiaqi Yan +7 more
wiley +1 more source
A RESOURCE-EFFICIENT COLLABORATIVE SYSTEM FOR DDOS ATTACK DETECTION AND VICTIM IDENTIFICATION
Distributed Denial of Service (DDoS) attacks seriously threaten network security. Most countermeasures perceive attacks after the damage has been down. This paper thus focuses on the detection of DDoS attacks, and more importantly, victim identification ...
Xiaofeng Wang, Fei Wang, Zhenxing Li
core +1 more source
Addressing High False Positive Rates of DDoS Attack Detection Methods [PDF]
Distributed denial of service (DDoS) attack detection methods based on the clustering method are ineffective in detecting attacks correctly. Service interruptions caused by DDoS attacks impose concerns for IT leaders and their organizations, leading to ...
Zeinalpour, Alireza
core +1 more source
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali +6 more
wiley +1 more source
A DDoS attack detection system based on spark framework
There are many problems in traditional Distributed Denial of Service (DDoS) attack detection such as low accuracy, low detection speed and so on, which is not suitable for the real time detecting and processing of DDoS attacks in big data environment ...
Jianxin Jia, Dezhi Han, Han Liu, Kun Bi
core +1 more source
In recent years, advanced threats against Cyber–Physical Systems (CPSs), such as Distributed Denial of Service (DDoS) attacks, are increasing. Furthermore, traditional machine learning-based intrusion detection systems (IDSs) often fail to efficiently ...
João Paulo Abreu Maranhão +4 more
doaj +1 more source

