Network intrusion detection system: A systematic study of machine learning and deep learning approaches
The rapid advances in the internet and communication fields have resulted in a huge
increase in the network size and the corresponding data. As a result, many novel attacks are …
increase in the network size and the corresponding data. As a result, many novel attacks are …
A systematic review on supervised and unsupervised machine learning algorithms for data science
Abstract Machine learning is as growing as fast as concepts such as Big data and the field of
data science in general. The purpose of the systematic review was to analyze scholarly …
data science in general. The purpose of the systematic review was to analyze scholarly …
[HTML][HTML] Network traffic classification: Techniques, datasets, and challenges
In network traffic classification, it is important to understand the correlation between network
traffic and its causal application, protocol, or service group, for example, in facilitating lawful …
traffic and its causal application, protocol, or service group, for example, in facilitating lawful …
[LIBRO][B] Supervised and unsupervised learning for data science
Supervised and unsupervised learning algorithms have shown a great potential in
knowledge acquisition from large data sets. Supervised learning reflects the ability of an …
knowledge acquisition from large data sets. Supervised learning reflects the ability of an …
CNN-CNN: dual convolutional neural network approach for feature selection and attack detection on internet of things networks
The Internet of Things (IoT) has brought significant advancements that have connected our
world more closely than ever before. However, the growing number of connected devices …
world more closely than ever before. However, the growing number of connected devices …
[HTML][HTML] An in-depth review of machine learning based Android malware detection
It is estimated that around 70% of mobile phone users have an Android device. Due to this
popularity, the Android operating system attracts a lot of malware attacks. The sensitive …
popularity, the Android operating system attracts a lot of malware attacks. The sensitive …
[HTML][HTML] A novel fuzzy C-means based chameleon swarm algorithm for segmentation and progressive neural architecture search for plant disease classification
This study proposed a novel framework for plant leaf disease identification. The proposed
model consists of four steps including pre-processing, segmentation, feature extraction, and …
model consists of four steps including pre-processing, segmentation, feature extraction, and …
Machine Learning‐Based Secure Data Acquisition for Fake Accounts Detection in Future Mobile Communication Networks
Social media websites are becoming more prevalent on the Internet. Sites, such as Twitter,
Facebook, and Instagram, spend significantly more of their time on users online. People in …
Facebook, and Instagram, spend significantly more of their time on users online. People in …
A simple framework to enhance the adversarial robustness of deep learning-based intrusion detection system
Deep learning based intrusion detection systems (DL-based IDS) have emerged as one of
the best choices for providing security solutions against various network intrusion attacks …
the best choices for providing security solutions against various network intrusion attacks …
Exploring Shodan from the perspective of industrial control systems
Y Chen, X Lian, D Yu, S Lv, S Hao, Y Ma - IEEE Access, 2020 - ieeexplore.ieee.org
As an essential component of the critical infrastructure, the Industrial Control System (ICS) is
facing increasing cyber threats. The emergence of the Shodan search engine also …
facing increasing cyber threats. The emergence of the Shodan search engine also …