Results 71 to 80 of about 17,788 (216)
Detection and Mitigation of DoS and DDoS Attacks in IoT-Based Stateful SDN: An Experimental Approach
The expected advent of the Internet of Things (IoT) has triggered a large demand of embedded devices, which envisions the autonomous interaction of sensors and actuators while offering all sort of smart services. However, these IoT devices are limited in
Jesús Galeano-Brajones +3 more
doaj +1 more source
Single‐cell transcriptomics of soybean roots soon after rhizobial inoculation reveals epidermal and cortical cell‐specific programs and gene‐regulatory networks acting in symbiosis establishment. We identify an ethylene‐driven regulatory circuit involving WRKY6.3/6.4 transcription factors targeting select Nod19 genes that promotes infection‐thread ...
Yongbin Zhuang +17 more
wiley +1 more source
Intrusion Detection for IoT Network Security with Deep learning [PDF]
IoT devices has witnessed a substantial increase due to the growing demand for smart devices. Intrusion Detection Systems (IDS) are critical components for safeguarding IoT networks against cyber threats.
Roya Morshedi +2 more
doaj +1 more source
A cytokinin pathway transcription factor, RR2b, was artificially selected during soybean domestication and improvement based on its differential transcriptional activity, which correlates with ATT repeat polymorphisms in its promoter. RR2b balances yield and defense by fine‐tuning its expression level and offers a promising target for decoupling trade ...
Qun Ma +11 more
wiley +1 more source
DDoS family: A novel perspective for massive types of DDoS attacks
Distributed Denial of Service (DDoS) defense is a profound research problem. In recent years, adversaries tend to complicate their attack strategies by crafting vast DDoS variants. On the one hand, this trend exacerbates both extremes of classification granularity (i.e., binary and attack level) in existing machine learning methods.
Ziming Zhao 0008 +7 more
openaire +3 more sources
The article presents an analysis of the developed method of identifying a distributed attack for denial of channel maintenance. Where the main aspect of the research is: the identification and removal of vulnerabilities from various ways of pseudo ...
Roman Aidyn Mamedov +1 more
doaj
Everything on DDoS Attacks, DDoS incidents & DDoS Defense Mechanisms!
Distributed denial-of-service (DDoS) is a rapidly growing problem. DDoS attacks have suddenly gained popularity in the last 10 years. Furthermore, their intensity to attack has increased and now ranges from just a normal problem to a severe illegal cyber
Naveen Sharma, Dr. Keshav Dev Gupta
core +1 more source
A Classification Data Packets Using the Threshold Method for Detection of DDoS
Computer communication is done by first synchronizing one computer with another computer. This synchronization contains Data Packages which can be detrimental if done continuously, it will be categorized as an attack.
Sukma Aji +7 more
doaj +1 more source
Efficient Classification of DDoS Attacks Using an Ensemble Feature Selection Algorithm
In the current cyber world, one of the most severe cyber threats are distributed denial of service (DDoS) attacks, which make websites and other online resources unavailable to legitimate clients.
Singh Khundrakpam Johnson, De Tanmay
doaj +1 more source

