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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11555827_19openalex-snapshot
Botnet Tracking: Exploring a Root-Cause Methodology to Prevent Distributed Denial-of-Service Attacks
inferredcites →https://doi.org/10.1007/978-3-540-70542-0_11openalex-snapshot
Traffic Aggregation for Malware Detection
inferredcites →https://doi.org/10.1007/978-3-540-87357-0_2openalex-snapshot
Anomaly Characterization in Flow-Based Traffic Time Series
inferredcites →https://doi.org/10.1007/978-3-642-04444-1_15openalex-snapshot
Automatically Generating Models for Botnet Detection
inferredcites →https://doi.org/10.1007/978-3-642-20757-0_1openalex-snapshot
BotTrack: Tracking Botnets Using NetFlow and PageRank
inferredcites →https://doi.org/10.1017/cbo9780511801389openalex-snapshot
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
inferredcites →https://doi.org/10.1109/lcn.2006.322100openalex-snapshot
Detecting Botnets with Tight Command and Control
inferredcites →https://doi.org/10.1109/lcn.2006.322210openalex-snapshot
Usilng Machine Learning Technliques to Identify Botnet Traffic
inferredcites →https://doi.org/10.1109/wetice.2005.35openalex-snapshot
Entropy Based Worm and Anomaly Detection in Fast IP Networks
inferredcites →https://doi.org/10.1111/j.1467-9892.2009.00643.xopenalex-snapshot
Time series analysis forecasting and control
inferredcites →https://doi.org/10.1145/1151659.1159947openalex-snapshot
Understanding the network-level behavior of spammers
inferredcites →https://doi.org/10.1145/1177080.1177086openalex-snapshot
A multifaceted approach to understanding the botnet phenomenon
inferredcites →https://doi.org/10.1145/1177080.1177101openalex-snapshot
Impact of packet sampling on anomaly detection metrics
inferredcites →https://doi.org/10.1145/1177080.1177102openalex-snapshot
Is sampled data sufficient for anomaly detection?
inferredcites →https://doi.org/10.1145/1352664.1352675openalex-snapshot
Extracting hidden anomalies using sketch and non Gaussian multiresolution statistical detection procedures
inferredcites →https://doi.org/10.1145/1644893.1644897openalex-snapshot
Anomaly extraction in backbone networks using association rules
inferredcites →https://doi.org/10.13182/nse70-a19705openalex-snapshot
The Art of Computer Programming
inferredcites →https://doi.org/10.17487/rfc3954openalex-snapshot
Cisco Systems NetFlow Services Export Version 9
inferredcites →https://doi.org/10.2307/2988198openalex-snapshot
Time Series Analysis: Forecasting and Control.
inferredcites →https://doi.org/10.2307/3150485openalex-snapshot
Time Series Analysis: Forecasting and Control
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.6662openalex-snapshot
Botnet attack detection in Internet of Things devices over cloud environment via machine learning
inferred← citeshttps://doi.org/10.1002/cpe.7679openalex-snapshot
An innovative malware detection methodology employing the amalgamation of stacked BiLSTM and CNN + LSTM ‐based classification networks with the assistance of Mayfly metaheuristic optimization algorithm in cyber‐attack
inferred← citeshttps://doi.org/10.1002/sec.1335openalex-snapshot
Local outlier factor use for the network flow anomaly detection
inferred← citeshttps://doi.org/10.1007/978-3-030-39442-4_52openalex-snapshot
CAMLPAD: Cybersecurity Autonomous Machine Learning Platform for Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-3-030-45371-8_4openalex-snapshot
Selection and Performance Analysis of CICIDS2017 Features Importance
inferred← citeshttps://doi.org/10.1007/978-3-030-62582-5_15openalex-snapshot
Beyond Labeling: Using Clustering to Build Network Behavioral Profiles of Malware Families
inferred← citeshttps://doi.org/10.1007/978-3-030-88418-5_35openalex-snapshot
MORTON: Detection of Malicious Routines in Large-Scale DNS Traffic
inferred← citeshttps://doi.org/10.1007/978-3-030-98795-4_10openalex-snapshot
Intelligent Malware Defenses
inferred← citeshttps://doi.org/10.1007/978-3-031-22390-7_18openalex-snapshot
EarlyCrow: Detecting APT Malware Command and Control over HTTP(S) Using Contextual Summaries
inferred← citeshttps://doi.org/10.1007/978-3-031-23690-7_1openalex-snapshot
Ostinato: Cross-host Attack Correlation Through Attack Activity Similarity Detection
inferred← citeshttps://doi.org/10.1007/978-3-031-25538-0_27openalex-snapshot
AttackMiner: A Graph Neural Network Based Approach for Attack Detection from Audit Logs
inferred← citeshttps://doi.org/10.1007/978-3-031-95767-3_8openalex-snapshot
ProvDP: Differential Privacy for System Provenance Dataset
inferred← citeshttps://doi.org/10.1007/978-3-032-00630-1_14openalex-snapshot
Are Trees Really Green? A Detection Approach of IoT Malware Attacks
inferred← citeshttps://doi.org/10.1007/978-3-032-29599-6_1openalex-snapshot
The Legal Architecture of Botnet Mitigation in EU Law
inferred← citeshttps://doi.org/10.1007/978-3-319-02937-5_9openalex-snapshot
BotSuer: Suing Stealthy P2P Bots in Network Traffic through Netflow Analysis
inferred← citeshttps://doi.org/10.1007/978-3-319-08509-8_11openalex-snapshot
Phoenix: DGA-Based Botnet Tracking and Intelligence
inferred← citeshttps://doi.org/10.1007/978-3-319-08509-8_9openalex-snapshot
Metadata-Driven Threat Classification of Network Endpoints Appearing in Malware
inferred← citeshttps://doi.org/10.1007/978-3-319-15087-1_9openalex-snapshot
AMAL: High-Fidelity, Behavior-Based Automated Malware Analysis and Classification
inferred← citeshttps://doi.org/10.1007/978-3-319-23814-2_32openalex-snapshot
AAU-Star and AAU Honeyjar: Malware Analysis Platforms Developed by Students
inferred← citeshttps://doi.org/10.1007/978-3-319-27659-5_8openalex-snapshot
4GMOP: Mopping Malware Initiated SMS Traffic in Mobile Networks
inferred← citeshttps://doi.org/10.1007/978-3-319-27763-9_5openalex-snapshot
Rapid Screening of Big Data Against Inadvertent Leaks
inferred← citeshttps://doi.org/10.1007/978-3-319-60876-1_17openalex-snapshot
Unsupervised Detection of APT C&C Channels using Web Request Graphs
inferred← citeshttps://doi.org/10.1007/978-3-319-66332-6_6openalex-snapshot
ILAB: An Interactive Labelling Strategy for Intrusion Detection
inferred← citeshttps://doi.org/10.1007/978-3-319-72598-7_9openalex-snapshot
Heavy Log Reader: Learning the Context of Cyber Attacks Automatically with Paragraph Vector
inferred← citeshttps://doi.org/10.1007/978-3-319-78556-1_19openalex-snapshot
Reading Network Packets as a Natural Language for Intrusion Detection
inferred← citeshttps://doi.org/10.1007/978-3-642-38998-6_7openalex-snapshot
Anomaly Detection and Mitigation at Internet Scale: A Survey
inferred← citeshttps://doi.org/10.1007/978-3-642-40820-5_30openalex-snapshot
BotInfer: A Bot Inference Approach by Correlating Host and Network Information
inferred← citeshttps://doi.org/10.1007/978-3-642-55032-4_49openalex-snapshot
Aggregation of Network Protocol Data Near Its Source
inferred← citeshttps://doi.org/10.1007/978-3-642-55415-5_1openalex-snapshot
Mentor: Positive DNS Reputation to Skim-Off Benign Domains in Botnet C&C Blacklists
inferred← citeshttps://doi.org/10.1007/978-981-13-8138-6_17openalex-snapshot
DDoS Attacks Detection Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1007/978-981-15-7533-4_56openalex-snapshot
Botnet Detection Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1007/978-981-16-1338-8_32openalex-snapshot
Proficient Detection of Flash Attacks Using a Predictive Strategy
inferred← citeshttps://doi.org/10.1007/s10207-024-00820-4openalex-snapshot
RAMA: a risk assessment solution for healthcare organizations
inferred← citeshttps://doi.org/10.1007/s10462-020-09942-2openalex-snapshot
Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities
inferred← citeshttps://doi.org/10.1007/s11222-020-09943-9openalex-snapshot
Classification of periodic arrivals in event time data for filtering computer network traffic
inferred← citeshttps://doi.org/10.1007/s11280-026-01406-xopenalex-snapshot
Learning to detect malicious bots in computer networks via heterophily-aware isotropic out-of-distribution detection
inferred← citeshttps://doi.org/10.1007/s11416-014-0228-5openalex-snapshot
Behavioral fine-grained detection and classification of P2P bots
inferred← citeshttps://doi.org/10.1007/s11416-017-0306-6openalex-snapshot
Deciphering malware’s use of TLS (without decryption)
inferred← citeshttps://doi.org/10.1007/s12065-019-00310-wopenalex-snapshot
Performance evaluation of Botnet DDoS attack detection using machine learning
inferred← citeshttps://doi.org/10.1007/s42979-021-00585-wopenalex-snapshot
Using Ensemble Learning Technique for Detecting Botnet on IoT
inferred← citeshttps://doi.org/10.1016/j.comnet.2014.05.016openalex-snapshot
Resource monitoring for the detection of parasite P2P botnets
inferred← citeshttps://doi.org/10.1016/j.comnet.2015.12.008openalex-snapshot
PsyBoG: A scalable botnet detection method for large-scale DNS traffic
inferred← citeshttps://doi.org/10.1016/j.comnet.2018.08.014openalex-snapshot
BotCluster: A session-based P2P botnet clustering system on NetFlow
inferred← citeshttps://doi.org/10.1016/j.comnet.2023.109797openalex-snapshot
Relational reasoning-based approach for network protocol reverse engineering
inferred← citeshttps://doi.org/10.1016/j.cose.2015.04.001openalex-snapshot
AMAL: High-fidelity, behavior-based automated malware analysis and classification
inferred← citeshttps://doi.org/10.1016/j.cose.2018.11.001openalex-snapshot
Survey of machine learning techniques for malware analysis
inferred← citeshttps://doi.org/10.1016/j.eswa.2018.02.010openalex-snapshot
Learning communication patterns for malware discovery in HTTPs data
inferred← citeshttps://doi.org/10.1016/j.icte.2024.03.005openalex-snapshot
A study of the relationship of malware detection mechanisms using Artificial Intelligence
inferred← citeshttps://doi.org/10.1016/j.ins.2019.10.018openalex-snapshot
A fully scalable big data framework for Botnet detection based on network traffic analysis
inferred← citeshttps://doi.org/10.1016/j.iot.2023.100747openalex-snapshot
XG-BoT: An explainable deep graph neural network for botnet detection and forensics
inferred← citeshttps://doi.org/10.1016/j.jisa.2013.07.006openalex-snapshot
Behavioral classification and detection of malware through HTTP user agent anomalies
inferred← citeshttps://doi.org/10.1016/j.jnca.2015.10.002openalex-snapshot
BotFlex: A community-driven tool for botnet detection
inferred← citeshttps://doi.org/10.1016/s1353-4858(21)00039-8openalex-snapshot
A threshold-based, real-time analysis in early detection of endpoint anomalies using SIEM expertise
inferred← citeshttps://doi.org/10.1093/bjc/azv009openalex-snapshot
From Cybercrime to Cyborg Crime: Botnets as Hybrid Criminal Actor-Networks
inferred← citeshttps://doi.org/10.1109/access.2022.3176098openalex-snapshot
Generating Labeled Training Datasets Towards Unified Network Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1109/access.2023.3324371openalex-snapshot
DTITD: An Intelligent Insider Threat Detection Framework Based on Digital Twin and Self-Attention Based Deep Learning Models
inferred← citeshttps://doi.org/10.1109/access.2023.3348234openalex-snapshot
Enhancing Detection of Malicious Traffic Through FPGA-Based Frequency Transformation and Machine Learning
inferred← citeshttps://doi.org/10.1109/aina.2016.41openalex-snapshot
Network Monitoring Using MMT: An Application Based on the User-Agent Field in HTTP Headers
inferred← citeshttps://doi.org/10.1109/aina.2018.00134openalex-snapshot
An Adaptive Analysis Framework for Correlating Cyber-Security-Related Data
inferred← citeshttps://doi.org/10.1109/asiajcis.2017.13openalex-snapshot
A Practical Experiment of the HTTP-Based RAT Detection Method in Proxy Server Logs
inferred← citeshttps://doi.org/10.1109/atnac.2016.7878792openalex-snapshot
Distilling command and control network intrusions from network flow metadata using temporal PageRank
inferred← citeshttps://doi.org/10.1109/badgers.2014.11openalex-snapshot
Are We Missing Labels? A Study of the Availability of Ground-Truth in Network Security Research
inferred← citeshttps://doi.org/10.1109/badgers.2015.016openalex-snapshot
DGA Bot Detection with Time Series Decision Trees
inferred← citeshttps://doi.org/10.1109/bigdata.2014.7004371openalex-snapshot
Extending SPARQL with graph functions
inferred← citeshttps://doi.org/10.1109/bigdatasecurity-hpsc-ids.2016.74openalex-snapshot
Securing Big Data Environments from Attacks
inferred← citeshttps://doi.org/10.1109/candarw.2018.00084openalex-snapshot
On the Effectiveness of Extracting Important Words from Proxy Logs
inferred← citeshttps://doi.org/10.1109/cit/iucc/dasc/picom.2015.295openalex-snapshot
Fast Mining of Large-Scale Logs for Botnet Detection: A Field Study
inferred← citeshttps://doi.org/10.1109/cns.2014.6997492openalex-snapshot
Towards effective feature selection in machine learning-based botnet detection approaches
inferred← citeshttps://doi.org/10.1109/cns.2014.6997496openalex-snapshot
Chatter: Classifying malware families using system event ordering
inferred← citeshttps://doi.org/10.1109/cns.2015.7346813openalex-snapshot
Boten ELISA: A novel approach for botnet C&C in Online Social Networks
inferred← citeshttps://doi.org/10.1109/cns.2019.8802833openalex-snapshot
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
inferred← citeshttps://doi.org/10.1109/cns53000.2021.9705045openalex-snapshot
PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection
inferred← citeshttps://doi.org/10.1109/compsac.2019.00057openalex-snapshot
Alchemy: Stochastic Feature Regeneration for Malicious Network Traffic Classification
inferred← citeshttps://doi.org/10.1109/comsnets.2019.8711210openalex-snapshot
A feature-ranking framework for IoT device classification
inferred← citeshttps://doi.org/10.1109/comst.2015.2457491openalex-snapshot
Botnet in DDoS Attacks: Trends and Challenges
inferred← citeshttps://doi.org/10.1109/comst.2015.2494502openalex-snapshot
A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
inferred← citeshttps://doi.org/10.1109/comst.2017.2749442openalex-snapshot
Botnet Communication Patterns
inferred← citeshttps://doi.org/10.1109/comst.2018.2800740openalex-snapshot
Detecting and Preventing Cyber Insider Threats: A Survey
inferred← citeshttps://doi.org/10.1109/csci.2017.60openalex-snapshot
Multi-perspective Machine Learning (MPML) — A Machine Learning Model for Multi-faceted Learning Problems
inferred← citeshttps://doi.org/10.1109/csr57506.2023.10225000openalex-snapshot
To TTP or not to TTP?: Exploiting TTPs to Improve ML-based Malware Detection
inferred← citeshttps://doi.org/10.1109/cw.2019.00059openalex-snapshot
Hybrid Feature Selection Models for Machine Learning Based Botnet Detection in IoT Networks
inferred← citeshttps://doi.org/10.1109/cybersa.2015.7361120openalex-snapshot
An analysis of network traffic classification for botnet detection
inferred← citeshttps://doi.org/10.1109/cybersa.2018.8551408openalex-snapshot
Towards Situational Awareness of Botnet Activity in the Internet of Things
inferred← citeshttps://doi.org/10.1109/cycon.2014.6916407openalex-snapshot
An automated bot detection system through honeypots for large-scale
inferred← citeshttps://doi.org/10.1109/cycon.2016.7529438openalex-snapshot
Countering Advanced Persistent Threats through security intelligence and big data analytics
inferred← citeshttps://doi.org/10.1109/dsn.2015.14openalex-snapshot
Detection of Early-Stage Enterprise Infection by Mining Large-Scale Log Data
inferred← citeshttps://doi.org/10.1109/dsn.2015.40openalex-snapshot
OnionBots: Subverting Privacy Infrastructure for Cyber Attacks
inferred← citeshttps://doi.org/10.1109/ecrime.2018.8376209openalex-snapshot
MalClassifier: Malware family classification using network flow sequence behaviour
inferred← citeshttps://doi.org/10.1109/ecrime66200.2024.00009openalex-snapshot
EAGLEEYE: Attention to Unveil Malicious Event Sequences From Provenance Graphs
inferred← citeshttps://doi.org/10.1109/ecrime66972.2025.11327971openalex-snapshot
ScanWars: (A Multi-network Approach to Detecting and Analyzing) The Rise of Scanning Activity
inferred← citeshttps://doi.org/10.1109/elecsym.2015.7380847openalex-snapshot
A survey on Botnet: Classification, detection and defense
inferred← citeshttps://doi.org/10.1109/eurosp51992.2021.00046openalex-snapshot
Extractor: Extracting Attack Behavior from Threat Reports
inferred← citeshttps://doi.org/10.1109/eurosp53844.2022.00010openalex-snapshot
SoK: The Impact of Unlabelled Data in Cyberthreat Detection
inferred← citeshttps://doi.org/10.1109/eurosp68448.2026.00054openalex-snapshot
Abusing Cloud Services to Establish Covert Channels in Secure Enterprise Environments
inferred← citeshttps://doi.org/10.1109/globecom42002.2020.9322531openalex-snapshot
Piper: A Unified Machine Learning Pipeline for Internet-scale Traffic Analysis
inferred← citeshttps://doi.org/10.1109/globecom46510.2021.9685712openalex-snapshot
Multi-hop Graph Embedding for Botnet Detection
inferred← citeshttps://doi.org/10.1109/globecom48099.2022.10000755openalex-snapshot
DWT in P4: Periodicity Detection in the Data Plane
inferred← citeshttps://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00050openalex-snapshot
Towards Aggregated Features: A Novel Proxy Detection Method Using NetFlow Data
inferred← citeshttps://doi.org/10.1109/hpcc/smartcity/dss.2019.00090openalex-snapshot
A New Hybrid Approach for C&C Channel Detection
inferred← citeshttps://doi.org/10.1109/icarcv.2018.8581205openalex-snapshot
Dimensionality Reduction for Machine Learning Based IoT Botnet Detection
inferred← citeshttps://doi.org/10.1109/icassp.2015.7178272openalex-snapshot
Unsupervised detection of malware in persistent web traffic
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11465121openalex-snapshot
When Signals Bend: Curvature-Guided Selective Graph Rewiring for Few-Shot Bot Detection
inferred← citeshttps://doi.org/10.1109/icc.2019.8761218openalex-snapshot
Subspace Clustering for Interpretable Botnet Traffic Analysis
inferred← citeshttps://doi.org/10.1109/iccc62609.2024.10942170openalex-snapshot
GraphBot: Botnet Detection via Dynamic Graph Representation Learning
inferred← citeshttps://doi.org/10.1109/iccmc56507.2023.10083950openalex-snapshot
Development of Machine Learning Framework for the Protection of IoT Devices
inferred← citeshttps://doi.org/10.1109/iccnc.2014.6785439openalex-snapshot
An efficient flow-based botnet detection using supervised machine learning
inferred← citeshttps://doi.org/10.1109/iccsnt.2016.8070228openalex-snapshot
CMDHunter: Finding malicious domains from cyclical communication
inferred← citeshttps://doi.org/10.1109/icdcs.2017.213openalex-snapshot
An Adversary-Centric Behavior Modeling of DDoS Attacks
inferred← citeshttps://doi.org/10.1109/icdmw.2017.93openalex-snapshot
IP2Vec: Learning Similarities Between IP Addresses
inferred← citeshttps://doi.org/10.1109/icitst.2016.7856730openalex-snapshot
The role of machine learning in botnet detection
inferred← citeshttps://doi.org/10.1109/icoin.2017.7899511openalex-snapshot
Host independent and distributed detection system of the network attack by using OpenFlow
inferred← citeshttps://doi.org/10.1109/icsp51882.2021.9408973openalex-snapshot
AEFETA: Encrypted traffic classification framework based on self-learning of feature
inferred← citeshttps://doi.org/10.1109/ijcnn.2018.8489096openalex-snapshot
A Comparison of Machine Learning Approaches to Detect Botnet Traffic
inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9533507openalex-snapshot
Semi-supervised Anomaly Detection on Attributed Graphs
inferred← citeshttps://doi.org/10.1109/imf.2015.13openalex-snapshot
Towards Automated Incident Handling: How to Select an Appropriate Response against a Network-Based Attack?
inferred← citeshttps://doi.org/10.1109/indin.2015.7281975openalex-snapshot
Botnet detection within cloud service provider networks using flow protocols
inferred← citeshttps://doi.org/10.1109/infocom.2015.7218396openalex-snapshot
PeerClean: Unveiling peer-to-peer botnets through dynamic group behavior analysis
inferred← citeshttps://doi.org/10.1109/ipccc47392.2019.8958732openalex-snapshot
A New C&C Channel Detection Framework Using Heuristic Rule and Transfer Learning
inferred← citeshttps://doi.org/10.1109/ipccc55026.2022.9894328openalex-snapshot
APEX: Characterizing Attack Behaviors from Network Anomalies
inferred← citeshttps://doi.org/10.1109/itnac46935.2019.9077964openalex-snapshot
Detecting IRC-based Botnets by Network Traffic Analysis Through Machine Learning
inferred← citeshttps://doi.org/10.1109/jiot.2021.3051480openalex-snapshot
Cost-Aware Feature Selection for IoT Device Classification
inferred← citeshttps://doi.org/10.1109/malware.2018.8659361openalex-snapshot
An In-Depth Study of Open-Source Command and Control Frameworks
inferred← citeshttps://doi.org/10.1109/milcom.2015.7357464openalex-snapshot
Malware traffic detection using tamper resistant features
inferred← citeshttps://doi.org/10.1109/milcom.2016.7795376openalex-snapshot
Malware propagation in fully connected networks: A netflow-based analysis
inferred← citeshttps://doi.org/10.1109/nca.2017.8171326openalex-snapshot
Identifying malicious hosts involved in periodic communications
inferred← citeshttps://doi.org/10.1109/nca.2018.8548327openalex-snapshot
Evading Botnet Detectors Based on Flows and Random Forest with Adversarial Samples
inferred← citeshttps://doi.org/10.1109/noms.2016.7502852openalex-snapshot
Collaborative DDoS defense using flow-based security event information
inferred← citeshttps://doi.org/10.1109/noms47738.2020.9110300openalex-snapshot
Distributed DDoS Defense:A collaborative Approach at Internet Scale
inferred← citeshttps://doi.org/10.1109/noms47738.2020.9110332openalex-snapshot
Towards Adversarial Resilience in Proactive Detection of Botnet Domain Names by using MTD
inferred← citeshttps://doi.org/10.1109/noms54207.2022.9789908openalex-snapshot
DMEF: Dynamic Malware Evaluation Framework
inferred← citeshttps://doi.org/10.1109/sai.2017.8252185openalex-snapshot
Mining malware command and control traces
inferred← citeshttps://doi.org/10.1109/sdpc.2019.00131openalex-snapshot
Hunting IoT Botnets with Wide-area-network Flow Data
inferred← citeshttps://doi.org/10.1109/sieds.2018.8374749openalex-snapshot
Identifying malicious botnet traffic using logistic regression
inferred← citeshttps://doi.org/10.1109/southeastcon42311.2019.9020401openalex-snapshot
Characterizing an Academic Institution's Baseline Network for Anomaly Detection
inferred← citeshttps://doi.org/10.1109/sp40000.2020.00035openalex-snapshot
PMP: Cost-effective Forced Execution with Probabilistic Memory Pre-planning
inferred← citeshttps://doi.org/10.1109/surv.2013.091213.00134openalex-snapshot
A Taxonomy of Botnet Behavior, Detection, and Defense
inferred← citeshttps://doi.org/10.1109/tcc.2016.2570752openalex-snapshot
Securing Services in Networked Cloud Infrastructures
inferred← citeshttps://doi.org/10.1109/tcyb.2015.2490802openalex-snapshot
Data Randomization and Cluster-Based Partitioning for Botnet Intrusion Detection
inferred← citeshttps://doi.org/10.1109/tdsc.2020.3047399openalex-snapshot
Towards Learning-Based, Content-Agnostic Detection of Social Bot Traffic
inferred← citeshttps://doi.org/10.1109/tdsc.2022.3194127openalex-snapshot
On the Detection of Smart, Self-Propagating Internet Worms
inferred← citeshttps://doi.org/10.1109/tdsc.2023.3266139openalex-snapshot
Experimental Validation of a Command and Control Traffic Detection Model
inferred← citeshttps://doi.org/10.1109/tetc.2017.2764885openalex-snapshot
Detection and Threat Prioritization of Pivoting Attacks in Large Networks
inferred← citeshttps://doi.org/10.1109/tetc.2021.3050733openalex-snapshot
SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine learning
inferred← citeshttps://doi.org/10.1109/tifs.2014.2357251openalex-snapshot
DNSRadar: Outsourcing Malicious Domain Detection Based on Distributed Cache-Footprints
inferred← citeshttps://doi.org/10.1109/tifs.2017.2768018openalex-snapshot
Network Traffic Fingerprinting Based on Approximated Kernel Two-Sample Test
inferred← citeshttps://doi.org/10.1109/tifs.2026.3723120openalex-snapshot
GraphWave: A Dynamic Context-Adaptive Multimodal Feature Fusion Framework for Threat Detection
inferred← citeshttps://doi.org/10.1109/tkde.2024.3474792openalex-snapshot
ThreatInsight: Innovating Early Threat Detection Through Threat-Intelligence-Driven Analysis and Attribution
inferred← citeshttps://doi.org/10.1109/tnet.2022.3195871openalex-snapshot
Frequency Domain Feature Based Robust Malicious Traffic Detection
inferred← citeshttps://doi.org/10.1109/tnet.2024.3370851openalex-snapshot
Flow Interaction Graph Analysis: Unknown Encrypted Malicious Traffic Detection
inferred← citeshttps://doi.org/10.1109/tnsm.2022.3157344openalex-snapshot
The Cross-Evaluation of Machine Learning-Based Network Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1109/tnsm.2022.3175710openalex-snapshot
Griffin: Real-Time Network Intrusion Detection System via Ensemble of Autoencoder in SDN
inferred← citeshttps://doi.org/10.1109/ton.2025.3546735openalex-snapshot
“One Model Fits All Nodes”: Neuron Activation Pattern Analysis-Based Attack Traffic Detection Framework for P2P Networks
inferred← citeshttps://doi.org/10.1109/trustcom.2015.501openalex-snapshot
Mobile Guard Demo: Network Based Malware Detection
inferred← citeshttps://doi.org/10.1109/trustcom53373.2021.00146openalex-snapshot
Towards Multi-source Extension: A Multi-classification Method Based on Sampled NetFlow Records
inferred← citeshttps://doi.org/10.1145/2554850.2554896openalex-snapshot
Extracting probable command and control signatures for detecting botnets
inferred← citeshttps://doi.org/10.1145/2557547.2557562openalex-snapshot
Situational awareness through reasoning on network incidents
inferred← citeshttps://doi.org/10.1145/2602945.2602949openalex-snapshot
Identifying and modeling botnet C&C behaviors
inferred← citeshttps://doi.org/10.1145/2666652.2666659openalex-snapshot
Detecting Malicious Domains via Graph Inference
inferred← citeshttps://doi.org/10.1145/2699026.2699106openalex-snapshot
Privacy-Preserving Scanning of Big Content for Sensitive Data Exposure with MapReduce
inferred← citeshttps://doi.org/10.1145/2833258.2833310openalex-snapshot
DGA Botnet detection using Collaborative Filtering and Density-based Clustering
inferred← citeshttps://doi.org/10.1145/2872427.2882980openalex-snapshot
Understanding the Detection of View Fraud in Video Content Portals
inferred← citeshttps://doi.org/10.1145/3003816openalex-snapshot
On the Security of Machine Learning in Malware C&C Detection
inferred← citeshttps://doi.org/10.1145/3097983.3098163openalex-snapshot
Machine Learning for Encrypted Malware Traffic Classification
inferred← citeshttps://doi.org/10.1145/3143422openalex-snapshot
Exploiting Content Spatial Distribution to Improve Detection of Intrusions
inferred← citeshttps://doi.org/10.1145/3163058.3163059openalex-snapshot
A Survey Leading to a New Evaluation Framework for Network-based Botnet Detection
inferred← citeshttps://doi.org/10.1145/3178582openalex-snapshot
A Survey of Random Forest Based Methods for Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1145/3230833.3233280openalex-snapshot
The challenge of detecting sophisticated attacks
inferred← citeshttps://doi.org/10.1145/3243734.3243829openalex-snapshot
Threat Intelligence Computing
inferred← citeshttps://doi.org/10.1145/3320269.3372202openalex-snapshot
BOTection: Bot Detection by Building Markov Chain Models of Bots Network Behavior
inferred← citeshttps://doi.org/10.1145/3338468.3356825openalex-snapshot
On the Resilience of Network-based Moving Target Defense Techniques Against Host Profiling Attacks
inferred← citeshttps://doi.org/10.1145/3377644.3377652openalex-snapshot
A Novel Ensemble Anomaly based Approach for Command and Control Channel Detection
inferred← citeshttps://doi.org/10.1145/3385003.3410924openalex-snapshot
An Empirical Study on Unsupervised Network Anomaly Detection using Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1145/3436369.3436479openalex-snapshot
A Mining Policy based Malicious Encrypted Traffic Detection Scheme
inferred← citeshttps://doi.org/10.1145/3460120.3484585openalex-snapshot
Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis
inferred← citeshttps://doi.org/10.1145/3471621.3471841openalex-snapshot
Crafting Adversarial Example to Bypass Flow-&ML- based Botnet Detector via RL
inferred← citeshttps://doi.org/10.1145/3486001.3486237openalex-snapshot
BOND: Efficient and Frugal DL Model Co-design for Botnet detection on IoT Gateways
inferred← citeshttps://doi.org/10.1145/3576915.3616631openalex-snapshot
Point Cloud Analysis for ML-Based Malicious Traffic Detection: Reducing Majorities of False Positive Alarms
inferred← citeshttps://doi.org/10.1145/3597926.3598121openalex-snapshot
Improving Binary Code Similarity Transformer Models by Semantics-Driven Instruction Deemphasis
inferred← citeshttps://doi.org/10.1145/3611643.3616301openalex-snapshot
PEM: Representing Binary Program Semantics for Similarity Analysis via a Probabilistic Execution Model
inferred← citeshttps://doi.org/10.1145/3627106.3627126openalex-snapshot
Global Analysis with Aggregation-based Beaconing Detection across Large Campus Networks
inferred← citeshttps://doi.org/10.1145/3629132openalex-snapshot
C2Store: C2 Server Profiles at Your Fingertips
inferred← citeshttps://doi.org/10.1145/3638782.3638816openalex-snapshot
Detection of IoT Botnet Based on Convolutional Neural Network and Linear Support Vector Machine
inferred← citeshttps://doi.org/10.1145/3650212.3652128openalex-snapshot
Define-Use Guided Path Exploration for Better Forced Execution
inferred← citeshttps://doi.org/10.1145/3658644.3670353openalex-snapshot
Detecting Tunneled Flooding Traffic via Deep Semantic Analysis of Packet Length Patterns
inferred← citeshttps://doi.org/10.1145/3675741.3675745openalex-snapshot
COMEX: Deeply Observing Application Behavior on Real Android Devices
inferred← citeshttps://doi.org/10.1145/3690624.3709218openalex-snapshot
Wedjat: Detecting Sophisticated Evasion Attacks via Real-time Causal Analysis
inferred← citeshttps://doi.org/10.1145/3696410.3714876openalex-snapshot
AdvTG: An Adversarial Traffic Generation Framework to Deceive DL-Based Malicious Traffic Detection Models
inferred← citeshttps://doi.org/10.1145/3719027.3765143openalex-snapshot
Training with Only 1.0 ‰ Samples: Malicious Traffic Detection via Cross-Modality Feature Fusion
inferred← citeshttps://doi.org/10.1145/3805707openalex-snapshot
Malware-Facilitated E-Commerce Fraud: A Link Analysis of Black-Hat SEO-Based E-Commerce Fraud Actor Groups Targeting Japan
inferred← citeshttps://doi.org/10.1177/1548512917721755openalex-snapshot
Malware modeling and experimentation through parameterized behavior
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