AMDDLmodel: Android smartphones malware detection using deep learning model
Android is the most popular operating system of the latest mobile smart devices. With this
operating system, many Android applications have been developed and become an …
operating system, many Android applications have been developed and become an …
Multi-source refined adversarial domain adaptation with transfer complementarity infusion for IoT intrusion detection under limited samples
K Li, W Ma, H Duan, H Xie - Expert Systems with Applications, 2024 - Elsevier
The arrival of 5G has facilitated further development of the Internet of Things (IoT) which is
vulnerable to hacking because of its widespread use. Large networks oriented toward …
vulnerable to hacking because of its widespread use. Large networks oriented toward …
An optimized neural network with AdaHessian for cryptojacking attack prediction for Securing Crypto Exchange Operations of MEC applications
Bitcoin exchange security is crucial because of MEC's widespread use. Cryptojacking has
compromised MEC app security and bitcoin exchange ecosystem functionality. This paper …
compromised MEC app security and bitcoin exchange ecosystem functionality. This paper …
[HTML][HTML] Artificial Intelligence-based intrusion detection system for V2V communication in vehicular adhoc networks
Abstract Vehicular Adhoc Networks (VANETs) enable vehicle-infrastructure communication,
enhancing Intelligent Transportation Systems (ITS). Vehicles interconnect wirelessly to …
enhancing Intelligent Transportation Systems (ITS). Vehicles interconnect wirelessly to …
Enhancing the Efficiency of a Cybersecurity Operations Center Using Biomimetic Algorithms Empowered by Deep Q-Learning
R Olivares, O Salinas, C Ravelo, R Soto, B Crawford - Biomimetics, 2024 - mdpi.com
In the complex and dynamic landscape of cyber threats, organizations require sophisticated
strategies for managing Cybersecurity Operations Centers and deploying Security …
strategies for managing Cybersecurity Operations Centers and deploying Security …
DL-ADS: Improved Grey Wolf Optimization Enabled AE-LSTM Technique for Efficient Network Anomaly Detection in Internet of Thing Edge computing
J Manokaran, G Vairavel - IEEE Access, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) technology has begun to proliferate in recent years, which
simultaneously increases the number of attacks. Owing to the massive volume and multi …
simultaneously increases the number of attacks. Owing to the massive volume and multi …
Enhancing the Efficiency of a Cyber SOC Using Biomimetic Algorithms Empowered by Deep Q–Learning
R Olivares, O Salinas, C Ravelo, R Soto, B Crawford - 2024 - preprints.org
Given the landscape of intricate and constantly evolving cyber threats, organizations
demand refined strategies to deploy a Security Information and Event Management to …
demand refined strategies to deploy a Security Information and Event Management to …
Ethereum blockchain-based three factor authentication and multi-contract access control for secure smart home environment in 5G networks
With the rapid advancement of technology, smart home environments have become
increasingly popular, offering convenience and automation to homeowners. However, as …
increasingly popular, offering convenience and automation to homeowners. However, as …
Enhancing intrusion detection using coati optimization algorithm with deep learning on vehicular Adhoc networks
K Sarathkumar, P Sudhakar, AC Kanmani - International Journal of …, 2024 - Springer
Vehicular ad hoc networks (VANETs) role a vital play in allowing technology for future
cooperative intelligent transportation systems (CITSs). Vehicles in VANETs transmit real …
cooperative intelligent transportation systems (CITSs). Vehicles in VANETs transmit real …
Evaluating the Performance of Long Short-Term Memory for Web Attack Detection
SA Momu, RR Siddiqui, MS Hoque… - … on Computer and …, 2023 - ieeexplore.ieee.org
Web threats provide a continuing and dynamic hazard to both individuals and organizations,
encompassing a wide spectrum of malicious activities such as SQL injections and denial-of …
encompassing a wide spectrum of malicious activities such as SQL injections and denial-of …