A systematic literature review on machine and deep learning approaches for detecting attacks in RPL-based 6LoWPAN of internet of things
The IETF Routing Over Low power and Lossy network (ROLL) working group defined IPv6
Routing Protocol for Low Power and Lossy Network (RPL) to facilitate efficient routing in …
Routing Protocol for Low Power and Lossy Network (RPL) to facilitate efficient routing in …
Distributed denial of service attacks against cloud computing environment: survey, issues, challenges and coherent taxonomy
Cloud computing (CC) plays a significant role in revolutionizing the information and
communication technology (ICT) industry, allowing flexible delivery of new services and …
communication technology (ICT) industry, allowing flexible delivery of new services and …
A hybrid deep learning approach for bottleneck detection in IoT
Cloud computing is perhaps the most enticing innovation in the present figuring situation. It
gives an expense-effective arrangement by diminishing the enormous forthright expense of …
gives an expense-effective arrangement by diminishing the enormous forthright expense of …
SUKRY: suricata IDS with enhanced kNN algorithm on raspberry Pi for classifying IoT botnet attacks
I Syamsuddin, OM Barukab - electronics, 2022 - mdpi.com
The focus of this research is the application of the k-Nearest Neighbor algorithm in terms of
classifying botnet attacks in the IoT environment. The kNN algorithm has several advantages …
classifying botnet attacks in the IoT environment. The kNN algorithm has several advantages …
Machine learning for multi-classification of botnets attacks
TC Tran, TK Dang - 2022 16th International Conference on …, 2022 - ieeexplore.ieee.org
The number of Internet of Things (IoT) devices connected to the network enlarges
dramatically these days. This leads to rising cyberattacks, such as botnets. These attacks …
dramatically these days. This leads to rising cyberattacks, such as botnets. These attacks …
ITransformer_CNN: A Malicious DNS Detection Method with Flexible Feature Extraction
W Zhang, W Chen, Z Zhang, F Zhang… - Available at SSRN …, 2022 - papers.ssrn.com
As an important network service, domain name system (DNS) is abused by attackers.
Malicious domain name detection has become an important task to combat network crime …
Malicious domain name detection has become an important task to combat network crime …
Botnet Forensic Analysis in Software Defined Networks using Ensemble Based Classifier
R Sanjeetha, MR Mundada… - 2022 4th International …, 2022 - ieeexplore.ieee.org
Software Defined Networks (SDN), a developing technology is replacing the conventional
networking solutions that are currently in use. It helps greatly with network programmability …
networking solutions that are currently in use. It helps greatly with network programmability …
[PDF][PDF] Botnet detection using various machine learning algorithms: A review
MM Swami, A Yadnik, A Jagtap, K Bhilare… - Int. Res. J. Eng …, 2022 - academia.edu
In past decades, use of internet is growing in every part of technology and which is hindered
by various security issues. Relatively, it questions on data confidentiality, data integrity and …
by various security issues. Relatively, it questions on data confidentiality, data integrity and …
A Novel Hybrid Tracking Algorithm for Client–Server Connection Using a Machine Learning Technique
Abstract Machine intensive and cyclical earth-moving activities could benefit from genuine
surveillance heavy machinery. It could provide accurate information for development …
surveillance heavy machinery. It could provide accurate information for development …
[PDF][PDF] Centralized distributed system for cyberattack detection in corporate network based on multifractal analysis.
The paper presents a centralized distributed system for cyberattack detection in corporate
network based on multifractal analysis. According to the study the concept of a system was …
network based on multifractal analysis. According to the study the concept of a system was …