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Survey on network‐based botnet detection methods
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/bltj.20492openalex-snapshot
NoBot: Embedded malware detection for endpoint devices
inferredcites →https://doi.org/10.1002/sec.229openalex-snapshot
Monitoring, analysis, and filtering system for purifying network traffic of known and unknown malicious content
inferredcites →https://doi.org/10.1002/sec.366openalex-snapshot
Adaptive pattern mining model for early detection of botnet‐propagation scale
inferredcites →https://doi.org/10.1002/sec.431openalex-snapshot
Detection of botnets before activation: an enhanced honeypot system for intentional infection and behavioral observation of malware
inferredcites →https://doi.org/10.1002/sec.500openalex-snapshot
A graph‐theoretic framework for isolating botnets in a network
inferredcites →https://doi.org/10.1007/1-84628-253-5openalex-snapshot
Machine Learning and Data Mining for Computer Security: Methods and Applications
inferredcites →https://doi.org/10.1007/978-3-540-70542-0_10openalex-snapshot
FluXOR: Detecting and Monitoring Fast-Flux Service Networks
inferredcites →https://doi.org/10.1007/978-3-540-70542-0_11openalex-snapshot
Traffic Aggregation for Malware Detection
inferredcites →https://doi.org/10.1007/978-3-540-88313-5_31openalex-snapshot
Eureka: A Framework for Enabling Static Malware Analysis
inferredcites →https://doi.org/10.1007/978-3-642-04444-1_15openalex-snapshot
Automatically Generating Models for Botnet Detection
inferredcites →https://doi.org/10.1016/c2009-0-19715-5openalex-snapshot
Data Mining: Practical Machine Learning Tools and Techniques
inferredcites →https://doi.org/10.1016/j.comcom.2010.04.007openalex-snapshot
Clustering botnet communication traffic based on n-gram feature selection
inferredcites →https://doi.org/10.1037//0033-295x.94.1.3openalex-snapshot
What do people think they're doing? Action identification and human behavior.
inferredcites →https://doi.org/10.1109/ares.2010.68openalex-snapshot
Heuristics for Detecting Botnet Coordinated Attacks
inferredcites →https://doi.org/10.1109/catch.2009.40openalex-snapshot
A Survey of Botnet Technology and Defenses
inferredcites →https://doi.org/10.1109/ec2nd.2009.10openalex-snapshot
Walowdac - Analysis of a Peer-to-Peer Botnet
inferredcites →https://doi.org/10.1109/iccsit.2010.5563555openalex-snapshot
A taxonomy of Botnet detection techniques
inferredcites →https://doi.org/10.1109/ichit.2008.249openalex-snapshot
Network Anomaly Detection System: The State of Art of Network Behaviour Analysis
inferredcites →https://doi.org/10.1109/icicic.2009.127openalex-snapshot
Botnet: Survey and Case Study
inferredcites →https://doi.org/10.1109/lcn.2006.322100openalex-snapshot
Detecting Botnets with Tight Command and Control
inferredcites →https://doi.org/10.1109/mis.2009.42openalex-snapshot
Adaptive Multiagent System for Network Traffic Monitoring
inferredcites →https://doi.org/10.1109/securware.2009.48openalex-snapshot
A Survey of Botnet and Botnet Detection
inferredcites →https://doi.org/10.1109/surv.2008.080406openalex-snapshot
A survey of techniques for internet traffic classification using machine learning
inferredcites →https://doi.org/10.1109/surv.2008.080408openalex-snapshot
Contention avoidance and resolution schemes in bufferless all-optical packet-switched networks: a survey
inferredcites →https://doi.org/10.1109/wifs.2011.6123125openalex-snapshot
BotCloud: Detecting botnets using MapReduce
inferredcites →https://doi.org/10.1109/wkdd.2010.155openalex-snapshot
A Survey on the Use of Traffic Traces to Battle Internet Threats
inferredcites →https://doi.org/10.1145/1298306.1298319openalex-snapshot
Using uncleanliness to predict future botnet addresses
inferredcites →https://doi.org/10.1155/2009/692654openalex-snapshot
Botnet: Classification, Attacks, Detection, Tracing, and Preventive Measures
inferredcites →https://doi.org/10.1198/tech.2003.s785openalex-snapshot
Data Mining: Concepts, Models, Methods, and Algorithms
inferredcites →https://doi.org/10.4018/978-1-60960-836-1.ch005openalex-snapshot
Botnet Behavior Detection using Network Synchronism
inferredcites →https://doi.org/10.4304/jnw.5.5.517-526openalex-snapshot
The Aggregation and Stability Analysis of Network Traffic for Structured-P2P-based Botnet Detection
inferredcites →https://doi.org/10.4304/jnw.5.5.568-576openalex-snapshot
Online Botnet Detection Based on Incremental Discrete Fourier Transform
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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On the resilience of P2P botnet footprints in the presence of legitimate P2P traffic
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A self‐learning stream classifier for flow‐based botnet detection
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A comprehensive study of Mozi botnet
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Detecting domain‐flux botnet based on DNS traffic features in managed network
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A New Approach to Detecting Bot Attack Activity Scenario
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Learning Representations for Log Data in Cybersecurity
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The Concept of Applying Lifelong Learning Paradigm to Cybersecurity
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A Concept of Clustering-Based Method for Botnet Detection
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An Active and Dynamic Botnet Detection Approach to Track Hidden Concept Drift
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Botnet Detection Method Based on NSA and DRN
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A review on graph-based approaches for network security monitoring and botnet detection
inferred← citeshttps://doi.org/10.1007/s10586-021-03231-5openalex-snapshot
Towards the design of real-time autonomous IoT NIDS
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BotGuard: Lightweight real-time botnet detection in software defined networks
inferred← citeshttps://doi.org/10.1007/s12652-019-01387-yopenalex-snapshot
Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection
inferred← citeshttps://doi.org/10.1007/s12652-021-03185-xopenalex-snapshot
Detecting IoT botnets based on the combination of cooperative game theory with deep and machine learning approaches
inferred← citeshttps://doi.org/10.1016/j.comcom.2019.08.014openalex-snapshot
Theoretic derivations of scan detection operating on darknet traffic
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2016.01.012openalex-snapshot
Botnet detection via mining of traffic flow characteristics
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Using honeypots to model botnet attacks on the internet of medical things
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An empirical comparison of botnet detection methods
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Detecting botnet by using particle swarm optimization algorithm based on voting system
inferred← citeshttps://doi.org/10.1016/j.jksuci.2022.05.004openalex-snapshot
Hybrid model for bot group activity detection using similarity and correlation approaches based on network traffic flows analysis
inferred← citeshttps://doi.org/10.1016/j.jnca.2016.10.007openalex-snapshot
Survey of approaches and features for the identification of HTTP-based botnet traffic
inferred← citeshttps://doi.org/10.1016/j.matpr.2021.01.751openalex-snapshot
WITHDRAWN: A hybrid algorithm design for near real time detection cyber attacks from compromised devices to enhance IoT security
inferred← citeshttps://doi.org/10.1063/5.0081789openalex-snapshot
A study of forensic techniques used for bot nets in IoT
inferred← citeshttps://doi.org/10.1063/5.0234381openalex-snapshot
Implementing machine learning in cyber security-based IoT for botnets security detection by applying recurrent variational autoencoder
inferred← citeshttps://doi.org/10.1080/19361610.2020.1745594openalex-snapshot
A Novel Forecastive Anomaly Based Botnet Revelation Framework for Competing Concerns in Internet of Things
inferred← citeshttps://doi.org/10.1109/access.2018.2846740openalex-snapshot
BotDet: A System for Real Time Botnet Command and Control Traffic Detection
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Forensics and Deep Learning Mechanisms for Botnets in Internet of Things: A Survey of Challenges and Solutions
inferred← citeshttps://doi.org/10.1109/ains.2017.8270416openalex-snapshot
Correlation-based HTTP Botnet detection using network communication histogram analysis
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8621895openalex-snapshot
Evidence Fusion for Malicious Bot Detection in IoT
inferred← citeshttps://doi.org/10.1109/ccnc46108.2020.9045236openalex-snapshot
Mimic Learning to Generate a Shareable Network Intrusion Detection Model
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Detecting bot-infected machines based on analyzing the similar periodic DNS queries
inferred← citeshttps://doi.org/10.1109/comst.2017.2749442openalex-snapshot
Botnet Communication Patterns
inferred← citeshttps://doi.org/10.1109/csnet.2017.8241990openalex-snapshot
BotGM: Unsupervised graph mining to detect botnets in traffic flows
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Bot Classification for Real-Life Highly Class-Imbalanced Dataset
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MalClassifier: Malware family classification using network flow sequence behaviour
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A survey on Botnet: Classification, detection and defense
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AI-Driven Anomaly Detection Framework for Preventing Zombie-Based Botnet Attacks in Cloud Environments
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Utilizing Network Science and Honeynets for Software Induced Cyber Incident Analysis
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An Enhanced Approach For Botnet Intrusion Detection System Based on Machine-Learning Model
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Understanding botnet on Internet
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A Rule-based Approach to Detect Botnets based on DNS
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Host independent and distributed detection system of the network attack by using OpenFlow
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Flow-based malware detection using convolutional neural network
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Anomaly Traffic Detection in Smart Home Using Insight from Exploratory Data Analysis
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Features Quality Impact on Cyber Physical Security Systems
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Botnet evolution: Network traffic indicators
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Botnets and their detection techniques
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Maginot Lines and Tourniquets: On the Defendability of National Cyberspace
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N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders
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BoNC: Discovering and Classifying Novel Encrypted Botnet Traffic
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Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices
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Automatically Generating Payload-Based Models for Botnet Detection
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A Taxonomy of Botnet Behavior, Detection, and Defense
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Experimental Validation of a Command and Control Traffic Detection Model
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Automated Botnet Traffic Detection via Machine Learning
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Auditing Anti-Malware Tools by Evolving Android Malware and Dynamic Loading Technique
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A Host and Network Based Intrusion Detection for Android Smartphones
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Identifying and modeling botnet C&C behaviors
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A Survey Leading to a New Evaluation Framework for Network-based Botnet Detection
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Large-scale Urban IoT Activity Data for DDoS Attack Emulation
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Malware modeling and experimentation through parameterized behavior
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Fortifying Botnet Classification based on Venn-abers Prediction
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Time Series Analysis for Botnet Detection
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On the Use of Machine Learning for Identifying Botnet Network Traffic
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Detecção de botnets utilizando classificação de fluxos contínuos de dados
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Detecting Unauthorized Network Intrusion based on Network Traffic using Behavior Analysis Techniques
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A Survey on Botnet Command and Control Traffic Detection
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Machine Learning based Attacks Detection and Countermeasures in IoT
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Hybrid Approach for Botnet Detection Using K-Means and K-Medoids with Hopfield Neural Network
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Advances in Cybersecurity 2017
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Security of IoT Cloud Services - A User-Oriented Test Approach
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Why Did I End Up Living in a Cave? Risks of IoT at Home
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Cycle Structure and Reachability Analysis for Cipher Spritz with Small N
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Concept Drift Analysis for Improving Anomaly Detection Systems in Cybersecurity
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Use of Mobile Devices in Hospitals and Perceived Data Breach Consequences: An Explorative Study
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Cipher, the Random and the Ransom: A Survey on Current and Future Ransomware
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Botnets: Security Challenges, Taxonomy and Detection
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Advanced Persistent Threats (APTs): Detection Techniques and Mitigation Strategies
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Detecting bots using multi-level traffic analysis
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Botnets Detection in DNS logs using machine learning
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Botnet detection based on network flow analysis using inverse statistics
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Monitoring IoT Encrypted Traffic with Deep Packet Inspection and Statistical Analysis
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Comparative Analysis of Network flow-based Botnet Detection Methods Using Supervised Machine Learning Algorithms
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Botnet Spam E-Mail Detection Using Deep Recurrent Neural Network
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Detecting Botnets Using Hidden Markov Model, Profile Hidden Markov Model and Network Flow Analysis
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BotHunter: Distributed Malicious Domain Name Detection Model Based on Deep Learning and Blockchain
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A Distributed Covert Channel of the Packet Ordering Enhancement Model Based on Data Compression
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A semantic-based analysis of Android malware for detection, generation, and trend analysis
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Enhancing Botnet Detection in Network Security Using Profile Hidden Markov Models
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Toward Improved Machine Learning-Based Intrusion Detection for Internet of Things Traffic
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A Survey on Botnets: Incentives, Evolution, Detection and Current Trends
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P2P Botnet Detection Based on Nodes Correlation by the Mahalanobis Distance
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B-Corr Model for Bot Group Activity Detection Based on Network Flows Traffic Analysis
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Detecting Botnet Traffic from a Single Host
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A Comparative Study of Machine Learning Algorithms and Their Ensembles for Botnet Detection
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BotTROP: Detection of a Botnet-based Threat using Novel Data Mining Algorithm
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BOTNET FORENSIC: ISSUES, CHALLENGES AND GOOD PRACTICES
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Intelligent system for IoT botnet detection using SVM and PSO optimization
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Detecting malware and cyber attacks using ISP data
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Detecção de botnets baseada na análise de fluxos de rede utilizando estatística inversa
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Providing IoT host-based datasets for intrusion detection research
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