Detection of DoS Attacks in Smart City Networks With Feature Distance Maps: A Statistical Approach

Enhanced multimodal biometric recognition approach for smart cities based on an optimized fuzzy genetic algorithm

(2022) Vani Rajasekar et al.   Scientific Reports

A vector convolutional deep autonomous learning classifier for detection of cyber attacks

(2022) N. G. Bhuvaneswari Amma   Cluster Computing-The Journal of Networks Software Tools and Applications

Detecting DDoS Attacks in IoT-Based Networks Using Matrix Profile

(2022) Mohammed Ali Alzahrani et al.   Applied Sciences-Basel

Optimization of vector convolutional deep neural network using binary real cumulative incarnation for detection of distributed denial of service attacks

(2021) N. G. Bhuvaneswari Amma et al.   NEURAL COMPUTING & APPLICATIONS

Detecting DDoS Attacks in Software-Defined Networks Through Feature Selection Methods and Machine Learning Models

(2020) Huseyin Polat et al.   Sustainability

A statistical class center based triangle area vector method for detection of denial of service attacks

(2020) N. G. Bhuvaneswari Amma et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Cryptographic keys exchange model for smart city applications

(2020) Muzafer Saračević et al.   IET Intelligent Transport Systems

A Visualized Botnet Detection System Based Deep Learning for the Internet of Things Networks of Smart Cities

(2020) R. Vinayakumar et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

The DDoS attacks detection through machine learning and statistical methods in SDN

(2020) Afsaneh Banitalebi Dehkordi et al.   JOURNAL OF SUPERCOMPUTING

A Statistical Approach for Detection of Denial of Service Attacks in Computer Networks

(2020) N. G. Bhuvaneswari Amma et al.   IEEE Transactions on Network and Service Management

The Internet of Things for Smart Cities: Technologies and Applications

(2019) Yi Qian et al.   IEEE NETWORK

Deep Radial Intelligence with Cumulative Incarnation approach for detecting Denial of Service attacks

(2019) Bhuvaneswari Amma N.G. et al.   NEUROCOMPUTING

Active learning to detect DDoS attack using ranked features

(2019) Rup Kumar Deka et al.   COMPUTER COMMUNICATIONS

A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection

(2016) Anna L. Buczak et al.   IEEE Communications Surveys and Tutorials

Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm

(2016) Mohammed A. Ambusaidi et al.   IEEE TRANSACTIONS ON COMPUTERS

Detection of known and unknown DDoS attacks using Artificial Neural Networks

(2016) Alan Saied et al.   NEUROCOMPUTING

Internet of Things and Big Data Analytics for Smart and Connected Communities

(2016) Yunchuan Sun et al.   IEEE Access

A Survey of Distance and Similarity Measures Used Within Network Intrusion Anomaly Detection

(2015) David J. Weller-Fahy et al.   IEEE Communications Surveys and Tutorials

Detection of Denial-of-Service Attacks Based on Computer Vision Techniques

(2015) Zhiyuan Tan et al.   IEEE TRANSACTIONS ON COMPUTERS

Analysis of network traffic features for anomaly detection

(2014) Félix Iglesias et al.   MACHINE LEARNING

An Information Framework for Creating a Smart City Through Internet of Things

(2014) Jiong Jin et al.   IEEE Internet of Things Journal

A distance sum-based hybrid method for intrusion detection

(2013) Chun Guo et al.   APPLIED INTELLIGENCE

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING

Enhancing IDS performance through comprehensive alert post-processing

(2013) Georgios P. Spathoulas et al.   COMPUTERS & SECURITY

Network Anomaly Detection: Methods, Systems and Tools

(2013) Monowar H. Bhuyan et al.   IEEE Communications Surveys and Tutorials

A System for Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis

(2013) Zhiyuan Tan et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Network attacks: Taxonomy, tools and systems

(2013) N. Hoque et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Mutual information-based feature selection for intrusion detection systems

(2011) Fatemeh Amiri et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Real-time anomaly detection systems for Denial-of-Service attacks by weighted k-nearest-neighbor classifiers

(2010) Ming-Yang Su   EXPERT SYSTEMS WITH APPLICATIONS

Building lightweight intrusion detection system using wrapper-based feature selection mechanisms

(2009) Yang Li et al.   COMPUTERS & SECURITY

Normalized Mutual Information Feature Selection

(2009) P.A. Estevez et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A triangle area based nearest neighbors approach to intrusion detection

(2009) Chih-Fong Tsai et al.   PATTERN RECOGNITION

DDoS attack detection method using cluster analysis

(2007) Keunsoo Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS