[HTML][HTML] Machine learning-based botnet detection in software-defined network: a systematic review
In recent decades, the internet has grown and changed the world tremendously, and this, in
turn, has brought about many cyberattacks. Cybersecurity represents one of the most …
turn, has brought about many cyberattacks. Cybersecurity represents one of the most …
[HTML][HTML] A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis
I Priyadarshini, C Cotton - The Journal of Supercomputing, 2021 - Springer
As the number of users getting acquainted with the Internet is escalating rapidly, there is
more user-generated content on the web. Comprehending hidden opinions, sentiments, and …
more user-generated content on the web. Comprehending hidden opinions, sentiments, and …
A machine-learning-based technique for false data injection attacks detection in industrial IoT
MMN Aboelwafa, KG Seddik… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The accelerated move toward the adoption of the Industrial Internet-of-Things (IIoT)
paradigm has resulted in numerous shortcomings as far as security is concerned. One of the …
paradigm has resulted in numerous shortcomings as far as security is concerned. One of the …
[HTML][HTML] Botnet attack detection using local global best bat algorithm for industrial internet of things
A Alharbi, W Alosaimi, H Alyami, HT Rauf… - Electronics, 2021 - mdpi.com
The need for timely identification of Distributed Denial-of-Service (DDoS) attacks in the
Internet of Things (IoT) has become critical in minimizing security risks as the number of IoT …
Internet of Things (IoT) has become critical in minimizing security risks as the number of IoT …
Security threats, defense mechanisms, challenges, and future directions in cloud computing
S El Kafhali, I El Mir, M Hanini - Archives of Computational Methods in …, 2022 - Springer
Several new technologies such as the smart cities, the Internet of Things (IoT), and 5G
Internet need services offered by cloud computing for processing and storing more …
Internet need services offered by cloud computing for processing and storing more …
Identifying cyber insecurities in trustworthy space and energy sector for smart grids
Energy is critical infrastructure, and addressing cybersecurity issues in the energy sector is
challenging. Cloud computing has advanced from being a data storage solution to a …
challenging. Cloud computing has advanced from being a data storage solution to a …
Artificial intelligence‐powered decentralized framework for Internet of Things in Healthcare 4.0
Remote patient monitoring and data management have gained much popularity in recent
years because of their enhanced access to low‐cost healthcare services. A cloud‐based …
years because of their enhanced access to low‐cost healthcare services. A cloud‐based …
Phishing attacks detection using machine learning approach
Evolving digital transformation has exacerbated cybersecurity threats globally. Digitization
expands the doors wider to cybercriminals. Initially cyberthreats approach in the form of …
expands the doors wider to cybercriminals. Initially cyberthreats approach in the form of …
[PDF][PDF] DoS and DDoS attack detection using deep learning and IDS
In the recent years, Denial-of-Dervice (DoS) orDistributed Denial-of-Service (DDoS) attack
has spread greatly and attackers make online systems unavailable to legitimate users by …
has spread greatly and attackers make online systems unavailable to legitimate users by …
On detecting and classifying DGA botnets and their families
Botnets are a frequent threat to information systems on the Internet, capable of launching
denial-of-service attacks, spreading spam and malware on a large scale. Detecting and …
denial-of-service attacks, spreading spam and malware on a large scale. Detecting and …