- Researchers develop novel deep learning|based detection system ...🔍
- A Novel Deep Learning based Stress Analysis and Detection ...🔍
- A novel deep learning|based approach for malware detection🔍
- A Novel Deep Learning|Based Intrusion Detection System for IoT ...🔍
- a novel deep learning based method for detection and counting of ...🔍
- A novel deep learning|based approach for detecting attacks in ...🔍
- A novel deep learning|based intrusion detection system for IoT ...🔍
- A novel deep learning based intrusion detection system for the IoT ...🔍
Researchers develop novel deep learning|based detection system ...
Researchers develop novel deep learning-based detection system ...
The new system, aided by the Internet of things, improves the detection capabilities of autonomous vehicles even under unfavorable conditions.
A Novel Deep Learning based Stress Analysis and Detection ...
This research aims to apply an enhanced deep learning technique called Learning based Novel ... system. The sensors known as 3-Axis Accelerometer ...
A novel deep learning-based approach for malware detection
Researchers have also combined static and dynamic analysis to detect malware (De Paola et al., 2018). Challenges: The exponential growth of malware variants is ...
A Novel Deep Learning-Based Intrusion Detection System for IoT ...
Every cyber-attack is made through network connectivity unless we consider cyber-physical attacks, which is not within the scope of this research. IoT devices ...
a novel deep learning based method for detection and counting of ...
PDF | In intelligent transportation systems (ITS), it is essential to obtain reliable statistics of the vehicular flow in order to create ...
A novel deep learning-based approach for detecting attacks in ...
Computation offloading is essential to accelerate program execution when the goals of social IoT systems shift from information dissemination to ...
A novel deep learning-based intrusion detection system for IoT ...
This comprehensive security framework aims to create a resilient defense against DDoS attacks targeting IoT ecosystems. This paper presents a comprehensive IoT ...
A novel deep learning based intrusion detection system for the IoT ...
Initially, to maintain a user's privacy in the network, the SHA-512 hashing mechanism incorporated a blockchain authentication (SHABA) model is developed that ...
[2308.00077] A Novel Deep Learning based Model to Defend ... - arXiv
Network Intrusion Detection System (NIDS) is an essential tool in securing cyberspace from a variety of security risks and unknown cyberattacks.
A Novel Deep Learning–Based System for Triage in the Emergency ...
Several research studies have focused on developing a system for predicting hospital admissions based on the patient's ED electronic medical record (EMR) [14].
BLoCNet: A Novel Deep Learning Model for Cyber Attack Detection
Intrusion detection systems (IDS) play a critical role in cybersecurity and are used to identify malicious behaviour in network traffic.
Detection and Classification of Novel Attacks and Anomaly in IoT ...
In a research study, Device-based Intrusion Detection System (DIDS), a unique deep learning model, is presented [39]. With a low false alarm ...
A Novel Deep Learning-Based Intrusion Detection System for IoT ...
The objective of this research is to develop a communication protocol-independent DNN-based real-time IoT intrusion detection system for ...
A novel deep learning-based approach for malware detection
AbstractMalware detection approaches can be classified into two classes, including static analysis and dynamic analysis.
Novel Framework for an Intrusion Detection System Using Multiple ...
Machine learning (ML) techniques are extensively applied to build robust IDSs. Many researchers have utilized different ML methods and ...
A novel scalable intrusion detection system based on deep learning
This paper successfully tackles the problem of processing a vast amount of security related data for the task of network intrusion detection by employing ...
Enhancing intrusion detection: a hybrid machine and deep learning ...
... research, and AI-based intrusion detection systems have ... Using RNNs, the researchers in [35] developed an IDS based on Deep Learning.
Machine Learning and Deep Learning based AI Tools for ...
The medicine and healthcare system is one of the promising application areas of AI (Murphy et al., 2021), in which researchers have proposed and developed ...
A Novel Intelligent‐Based Intrusion Detection System Approach ...
... deep learning research. Distinct ... [45] created a deep learning conjecture using feature extraction to build an IDS deep learning model.
A Novel Malware Detection System Based On Machine Learning ...
... development of novel solutions. Deep learning algorithms and artificial intelligence (AI) are rapidly evolving with remarkable results in ...