Suchergebnisse - Network Intrusion Detection - Memory Efficient Algorithms

Efficient Pattern Matching Algorithm for Memory Architecture von Lin, Cheng-Hung, Chang, Shih-Chieh

“… In order to accommodate the increasing number of attack patterns and meet the throughput requirement of networks, a successful network intrusion detection system must have a memory-efficient pattern …”
Volltext

Unified Deep Learning approach for Efficient Intrusion Detection System using Integrated Spatial–Temporal Features von Rajesh Kanna, P, Santhi, P

“… Intrusion detection systems (IDS) differentiate the malicious entries from the legitimate entries in network traffic data and helps in securing the networks …”
Volltext

Modified genetic algorithm and fine-tuned long short-term memory network for intrusion detection in the internet of things networks with edge capabilities von Saheed, Yakub Kayode, Abdulganiyu, Oluwadamilare Harazeem, Tchakoucht, Taha Ait

“… The emergence of smart cities is an example of how new technologies, such as the Internet of Things (IoT), have facilitated the creation of extensive …”
Volltext

IDS-attention: an efficient algorithm for intrusion detection systems using attention mechanism von Laghrissi, FatimaEzzahra, Douzi, Samira, Douzi, Khadija, Hssina, Badr

“… Hackers commonly conduct network attacks to alter, damage, or steal private data. Intrusion detection systems (IDS …”
Volltext

Hybrid Intrusion Detection using MapReduce based Black Widow Optimized Convolutional Long Short-Term Memory Neural Networks von Kanna, P. Rajesh, Santhi, P.

“… These online systems can utilize Intrusion Detection Systems (IDS) to ensure their trustworthiness by preventing cyber security threats …”
Volltext

An efficient network behavior anomaly detection using a hybrid DBN-LSTM network von Chen, Aiguo, Fu, Yang, Zheng, Xu, Lu, Guoming

“… The application of machine learning and deep learning methods has significantly improved the performance of network behavior anomaly detection (NBAD …”
Volltext

An improved long short term memory network for intrusion detection von Awad, Asmaa Ahmed, Ali, Ahmed Fouad, Gaber, Tarek

“… Over the years, intrusion detection system has played a crucial role in network security by discovering attacks from network traffics and generating an alarm signal to be sent to the security team …”
Volltext

Intrusion Detection for Cybersecurity of Smart Meters von Sun, Chih-Che, Sebastian Cardenas, D. Jonathan, Hahn, Adam, Liu, Chen-Ching

“… In this paper, a two-stage cyber intrusion protection system is proposed. At the first stage of intrusion detection, a Support Vector Machine (SVM …”
Volltext

(IoT) Network intrusion detection system using optimization algorithms von Shan, Luo

“… To address the complex requirements of network intrusion detection in IoT environments, this study proposes a hybrid intelligent framework that integrates the Whale Optimization Algorithm (WOA …”
Volltext

NSGTO‐LSTM: Niche‐strategy‐based gorilla troops optimization and long short‐term memory network intrusion detection model von Anchuri, Saritha, Ganesh, A., Perugu, Prathusha

“… In this study, an efficient intrusion detection (ID) system is implemented by using both machine learning and data mining concepts for detecting intrusion patterns …”
Volltext

Efficient Intrusion Detection System in the Cloud Using Fusion Feature Selection Approaches and an Ensemble Classifier von Bakro, Mhamad, Kumar, Rakesh Ranjan, Alabrah, Amerah A., Ashraf, Zubair, Bisoy, Sukant K., Parveen, Nikhat, Khawatmi, Souheil, Abdelsalam, Ahmed

“… Therefore, there is a need for a proper mechanism for detecting cloud intrusions. In this paper, we have proposed a cloud intrusion detection system (IDS …”
Volltext

Memory-Efficient Deep Learning for Botnet Attack Detection in IoT Networks von Popoola, Segun I., Adebisi, Bamidele, Ande, Ruth, Hammoudeh, Mohammad, Atayero, Aderemi A.

“… Recent research works have recommended the use of Deep Recurrent Neural Network (DRNN) for botnet attack detection in IoT networks …”
Volltext

Hybrid Deep Learning: An Efficient Reconnaissance and Surveillance Detection Mechanism in SDN von Malik, Jahanzaib, Akhunzada, Adnan, Bibi, Iram, Imran, Muhammad, Musaddiq, Arslan, Kim, Sung Won

“… ) and Convolutional Neural Network (CNN) for an efficient and timely detection of multi-vector threats and attacks …”
Volltext

Cyber resilient framework with energy efficient swarm routing and ensemble threat detection in fog assisted wireless sensor networks von Upadhiyay, Anant, Jain, Abhishek

“… ) algorithm with an ensemble-based Intrusion Detection System (IDS). The routing layer employs a multi-objective cost function that jointly considers distance, residual energy, and security risk …”
Volltext

Deterministic memory-efficient string matching algorithms for intrusion detection von Tuck, N., Sherwood, T., Calder, B., Varghese, G.

“… Intrusion detection systems (IDSs) have become widely recognized as powerful tools for identifying, deterring and deflecting malicious attacks over the network …”
Volltext

Intrusion detection system for controller area network von Tanksale, Vinayak

“… The goal of this research is to design, implement, and test an efficient and effective intrusion detection system for intra-vehicle CANs …”
Volltext

Improved perturbation based hybrid firefly algorithm and long short-term memory based intelligent security model for IoT network intrusion detection von Nayak, Janmenjoy, Priyadarshani, Pooja Puspita, Dash, Pandit Byomakesha

“… This research introduces an improved Long Short-Term Memory (LSTM) architecture designed to accurately detect attacks in an IoT environment …”
Volltext

LSTM-JSO framework for privacy preserving adaptive intrusion detection in federated IoT networks von Sorour, Shaymaa E., Aljaafari, Mohammed, Shaker, Amany M., Amin, Ahmed E.

“… The framework dynamically optimizes hyperparameters using the Joint Strategy Optimization (JSO) algorithm, ensuring efficient model adaptation across heterogeneous IoT networks …”
Volltext

Securing SDON with hybrid evolutionary intrusion detection system: An ensemble algorithm for feature selection and classification von J., Benitha Christinal, A., Ameelia Roseline

“… To address these security issues, this paper proposes an adaptive IDS-SDON-EFSC (Intrusion Detection System for Software-Defined Optical Network with Ensemble Feature Selection and Classification) framework …”
Volltext

Efficient Intrusion Detection Algorithms for Smart Cities-Based Wireless Sensing Technologies von Ramadan, Rabie A.

“… The world is experiencing the new development of smart cities. Smart cities’ infrastructure in its core is based on wireless sensor networks (WSNs …”
Volltext