IoTBoT-IDS: A novel statistical learning-enabled botnet detection framework for protecting networks of smart cities

Application of Data-Driven Attack Detection Framework for Secure Operation in Smart Buildings

(2021) Mariam Elnour et al.   Sustainable Cities and Society

Intelligent and secure edge-enabled computing model for sustainable cities using green internet of things

(2021) Khalid Haseeb et al.   Sustainable Cities and Society

Towards explaining anomalies: A deep Taylor decomposition of one-class models

(2020) Jacob Kauffmann et al.   PATTERN RECOGNITION

A Review of Intrusion Detection Systems Using Machine and Deep Learning in Internet of Things: Challenges, Solutions and Future Directions

(2020) Javed Asharf et al.   Electronics

Scalable machine learning-based intrusion detection system for IoT-enabled smart cities

(2020) Md Arafatur Rahman et al.   Sustainable Cities and Society

A lightweight cyber security framework with context-awareness for pervasive computing environments

(2020) Jalal Al-Muhtadi et al.   Sustainable Cities and Society

Cyber security in smart cities: A review of deep learning-based applications and case studies

(2020) Dongliang Chen et al.   Sustainable Cities and Society

Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems

(2020) Javed Ashraf et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Fuzzy Pattern Tree for Edge Malware Detection and Categorization in IoT

(2019) Ensieh Modiri Dovom et al.   JOURNAL OF SYSTEMS ARCHITECTURE

An intrusion detection system for connected vehicles in smart cities

(2019) Moayad Aloqaily et al.   Ad Hoc Networks

Outlier Dirichlet Mixture Mechanism: Adversarial Statistical Learning for Anomaly Detection in the Fog

(2019) Nour Moustafa et al.   IEEE Transactions on Information Forensics and Security

Semi-supervised learning based distributed attack detection framework for IoT

(2018) Shailendra Rathore et al.   APPLIED SOFT COMPUTING

Distributed attack detection scheme using deep learning approach for Internet of Things

(2018) Abebe Abeshu Diro et al.   Future Generation Computer Systems-The International Journal of eScience

Difficulties and Challenges of Anomaly Detection in Smart Cities: A Laboratory Analysis

(2018) Victor Garcia-Font et al.   SENSORS

Dirichlet Process Gaussian Mixture Models for Real-Time Monitoring and Their Application to Chemical Mechanical Planarization

(2017) Jia Peter Liu et al.   IEEE Transactions on Automation Science and Engineering

Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT

(2017) Manuel Lopez-Martin et al.   SENSORS

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

SVELTE: Real-time intrusion detection in the Internet of Things

(2013) Shahid Raza et al.   Ad Hoc Networks

Network Anomaly Detection: Methods, Systems and Tools

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

Toward developing a systematic approach to generate benchmark datasets for intrusion detection

(2012) Ali Shiravi et al.   COMPUTERS & SECURITY

Bayesian Estimation of Beta Mixture Models with Variational Inference

(2011) Zhanyu Ma et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE