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A Distributed Denial of Service (DDoS) attack is an attempt to make a service unavailable by overwhelming the server with malicious traffic. DDoS attacks have become the most tedious and cumbersome issue in recent past. The number and magnitude of attacks have increased from few megabytes of data to 100s of terabytes of data these days.
null Dhananjay Tangtode +4 more
openaire +2 more sources
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
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
ABSTRACT Striped stem borer (SSB; Chilo suppressalis Walker) is one of the most destructive pests in rice production. Previous studies have demonstrated that SSB infestation induces transcription of OsT5H (tryptamine‐5‐hydroxylase) and biosynthesis of serotonin, a newly recognised phytohormone, and that disruption of serotonin biosynthesis ...
Jia‐Run Zhang +9 more
wiley +1 more source
The resistance of routing protocols against DDOS attack in MANET [PDF]
A Mobil Ad hoc Network (MANET) is a wireless multi-hop network with various mobile, self-organized and wireless infrastructure nodes. MANET characteristics such as openness restricted resources and decentralization impact node efficiency and made them ...
Abdelhaq, Maha +17 more
core +2 more sources
Detection and classification of DDoS flooding attacks by machine learning method [PDF]
This study focuses on a method for detecting and classifying distributed denial of service (DDoS) attacks, such as SYN Flooding, ACK Flooding, HTTP Flooding, and UDP Flooding, using neural networks.
Zagorodna, Nataliya +4 more
core +1 more source
Utilizing Random Forest for DDoS Attack Detection [PDF]
The “Distributed Denial of Service” (DDoS) attack represents one of the most common forms of cyber assaults. Top of FormThe goal of DDoS is to overwhelm the server machine with an overwhelming number of data packets.
Mishra , Anupama
core
DoS and DDoS Attacks: Defense, Detection and Traceback Mechanisms - A Survey [PDF]
Denial of Service (DoS) or Distributed Denial of Service (DDoS) attacks are typically explicit attempts to exhaust victim2019;s bandwidth or disrupt legitimate users2019; access to services.
K.Munivara Prasad
core
Detection Model for 5G Core PFCP DDoS Attacks Based on Sin-Cos-bIAVOA
The development of 5G environments has several advantages, including accelerated data transfer speeds, reduced latency, and improved energy efficiency.
Zheng Ma, Rui Zhang, Lang Gao
doaj +1 more source
Fuzzy Observation of DDoS Attack
DDoS attacks are able to block Web servers. Such attacks could be started from anywhere in the network. This chapter presents the possibility of using Ordered Fuzzy Numbers (OFNs) for observation of a DDoS attack. The proposed algorithm could be implemented on routers and predict the moment of the attack.
openaire +1 more source

