An efficient hybrid-dnn for ddos detection and classification in software-defined iiot networks
Software-defined networking (SDN)-based Industrial Internet of Things (IIoT) networks have
a centralized controller that is a single attractive target for unauthorized users to attack …
a centralized controller that is a single attractive target for unauthorized users to attack …
A comprehensive survey on online social networks security and privacy issues: Threats, machine learning‐based solutions, and open challenges
Over the past few years, online social networks (OSNs) have become an inseparable part of
people's daily lives. Instead of being passive readers, people are now enjoying their role as …
people's daily lives. Instead of being passive readers, people are now enjoying their role as …
DeepAK-IoT: An effective deep learning model for cyberattack detection in IoT networks
W Ding, M Abdel-Basset, R Mohamed - Information Sciences, 2023 - Elsevier
Our daily lives have been profoundly changed over the past few years owing to the growing
presence of the Internet of Things (IoT). Importantly, IoT makes our lives more convenient …
presence of the Internet of Things (IoT). Importantly, IoT makes our lives more convenient …
Securing Mobile Edge Computing Using Hybrid Deep Learning Method
In recent years, Mobile Edge Computing (MEC) has revolutionized the landscape of the
telecommunication industry by offering low-latency, high-bandwidth, and real-time …
telecommunication industry by offering low-latency, high-bandwidth, and real-time …
Efficient prediction of court judgments using an LSTM+ CNN neural network model with an optimal feature set
As the amount of historical data available in the legal arena has grown over time, industry
specialists are driven to gather, compile, and analyze this data in order to forecast court case …
specialists are driven to gather, compile, and analyze this data in order to forecast court case …
A hybrid CNN+ BILSTM deep learning-based DSS for efficient prediction of judicial case decisions
S Ahmad, MZ Asghar, FM Alotaibi… - Expert Systems with …, 2022 - Elsevier
A gradual increase in the historical data available in the legal domain over the years has
compelled industry experts to collect, assemble, and analyze this data to predict judicial …
compelled industry experts to collect, assemble, and analyze this data to predict judicial …
Application layer DDoS attack detection using cuckoo search algorithm-trained radial basis function
In an application-layer distributed denial of service (App-DDoS) attack, zombie computers
bring down the victim server with valid requests. Intrusion detection systems (IDS) cannot …
bring down the victim server with valid requests. Intrusion detection systems (IDS) cannot …
A deep neural network model for the detection and classification of emotions from textual content
Emotion‐based sentimental analysis has recently received a lot of interest, with an
emphasis on automated identification of user behavior, such as emotional expressions …
emphasis on automated identification of user behavior, such as emotional expressions …
Intelligent risk prediction system in IoT-based supply chain management in logistics sector
A Alzahrani, MZ Asghar - Electronics, 2023 - mdpi.com
The Internet of Things (IoT) has resulted in substantial advances in the logistics sector,
particularly in logistics storage management, communication systems, service quality, and …
particularly in logistics storage management, communication systems, service quality, and …
IoT-Based Intrusion Detection System Using New Hybrid Deep Learning Algorithm
S Yaras, M Dener - Electronics, 2024 - mdpi.com
The most significant threat that networks established in IoT may encounter is cyber attacks.
The most commonly encountered attacks among these threats are DDoS attacks. After …
The most commonly encountered attacks among these threats are DDoS attacks. After …