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Survey of Countering DoS/DDoS Attacks on SIP Based VoIP Networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/dac.3825openalex-snapshot
Anomaly‐based DoS detection and prevention in SIP networks by modeling SIP normal traffic
inferredcites →https://doi.org/10.1002/nem.1995openalex-snapshot
A scalable detection and prevention scheme for voice over internet protocol (VoIP) signaling attacks using handler with Bloom filter
inferredcites →https://doi.org/10.1002/sec.1106openalex-snapshot
Feature engineering for detection of Denial of Service attacks in session initiation protocol
inferredcites →https://doi.org/10.1002/sec.1328openalex-snapshot
A comprehensive study of flooding attack consequences and countermeasures in Session Initiation Protocol (SIP)
inferredcites →https://doi.org/10.1007/978-3-642-13971-0_10openalex-snapshot
Labeled VoIP Data-Set for Intrusion Detection Evaluation
inferredcites →https://doi.org/10.1007/s10115-012-0595-5openalex-snapshot
Securing SIP-based VoIP infrastructure against flooding attacks and Spam Over IP Telephony
inferredcites →https://doi.org/10.1007/s12083-014-0289-8openalex-snapshot
VoIP-aware network attack detection based on statistics and behavior of SIP traffic
inferredcites →https://doi.org/10.1007/s12243-017-0567-6openalex-snapshot
Security and management framework for an organization operating in cloud environment
inferredcites →https://doi.org/10.1016/j.comcom.2014.11.002openalex-snapshot
An efficient and easily deployable method for dealing with DoS in SIP services
inferredcites →https://doi.org/10.1016/j.comnet.2018.02.025openalex-snapshot
An intelligent cyber security system against DDoS attacks in SIP networks
inferredcites →https://doi.org/10.1016/j.comnet.2020.107250openalex-snapshot
A survey on registration hijacking attack consequences and protection for session initiation protocol (SIP)
inferredcites →https://doi.org/10.1016/j.cose.2016.08.007openalex-snapshot
Novel session initiation protocol-based distributed denial-of-service attacks and effective defense strategies
inferredcites →https://doi.org/10.1016/j.cose.2017.08.003openalex-snapshot
Protecting from Cloud-based SIP flooding attacks by leveraging temporal and structural fingerprints
inferredcites →https://doi.org/10.1016/j.cose.2018.03.005openalex-snapshot
Systems and methods for SPIT detection in VoIP: Survey and future directions
inferredcites →https://doi.org/10.1016/j.dsp.2017.10.009openalex-snapshot
A Bayesian change point model for detecting SIP-based DDoS attacks
inferredcites →https://doi.org/10.1016/j.ins.2017.08.063openalex-snapshot
Social network security: Issues, challenges, threats, and solutions
inferredcites →https://doi.org/10.1093/comjnl/bxx052openalex-snapshot
Detection of SIP-Based Denial of Service Attack Using Dual Cost Formulation of Support Vector Machine
inferredcites →https://doi.org/10.1109/access.2018.2886356openalex-snapshot
The Devil is in the Detail: SDP-Driven Malformed Message Attacks and Mitigation in SIP Ecosystems
inferredcites →https://doi.org/10.1109/access.2020.3001688openalex-snapshot
A Novel SIP Based Distributed Reflection Denial-of-Service Attack and an Effective Defense Mechanism
inferredcites →https://doi.org/10.1109/cict.2015.66openalex-snapshot
Mitigation of Flooding Based Denial of Service Attack against Session Initiation Protocol Based VoIP System
inferredcites →https://doi.org/10.1109/iccke.2014.6993385openalex-snapshot
An entropy-based VoIP flooding attacks detection and prevention system
inferredcites →https://doi.org/10.1109/istafrica.2014.6880664openalex-snapshot
Survey of practical security frameworks for defending SIP based VoIP systems against DoS/DDoS attacks
inferredcites →https://doi.org/10.1109/ncc.2016.7561121openalex-snapshot
VoIPFD: Voice over IP flooding detection
inferredcites →https://doi.org/10.1109/noms.2018.8406281openalex-snapshot
Telephony Denial of Service defense at data plane (TDoSD@DP)
inferredcites →https://doi.org/10.1109/secon.2016.7506691openalex-snapshot
Coping with denial-of-service attacks on the IP telephony system
inferredcites →https://doi.org/10.1109/surv.2011.031611.00112openalex-snapshot
A Comprehensive Survey of Voice over IP Security Research
inferredcites →https://doi.org/10.1109/tdsc.2014.2302298openalex-snapshot
SIP Flooding Attack Detection with a Multi-Dimensional Sketch Design
inferredcites →https://doi.org/10.1109/tencon.2015.7372954openalex-snapshot
Detection of SIP signaling attacks using two-tier fine grained model for VoIP
inferredcites →https://doi.org/10.1109/tifs.2016.2632071openalex-snapshot
Detecting Anomalous Behavior in VoIP Systems: A Discrete Event System Modeling
inferredcites →https://doi.org/10.1109/tnsm.2015.2459603openalex-snapshot
Mitigating Mimicry Attacks Against the Session Initiation Protocol
inferredcites →https://doi.org/10.1145/1656274.1656278openalex-snapshot
The WEKA data mining software
inferredcites →https://doi.org/10.11591/ijeecs.v7.i2.pp457-465openalex-snapshot
Survey of Detection SIP Malformed Messages
inferredcites →https://doi.org/10.1201/9781420070910-13openalex-snapshot
SIP: Session Initiation Protocol
inferredcites →https://doi.org/10.15837/ijccc.2019.4.3563openalex-snapshot
Efficient Detection of Attacks in SIP Based VoIP Networks Using Linear l1-SVM Classifier
inferredcites →https://doi.org/10.17487/rfc3550openalex-snapshot
RTP: A Transport Protocol for Real-Time Applications
inferredcites →https://doi.org/10.2197/ipsjjip.22.118openalex-snapshot
SIP Flooding Attack Detection Using a Trust Model and Statistical Algorithms
inferredcites →https://doi.org/10.3390/electronics9040629openalex-snapshot
A Review of Performance, Energy and Privacy of Intrusion Detection Systems for IoT
inferredcites →https://doi.org/10.4304/jnw.10.2.77-84openalex-snapshot
An Approach to Resisting Malformed and Flooding Attacks on SIP Servers
inferredcites →https://doi.org/10.5220/0005549103010308openalex-snapshot
Battling Against DDoS in SIP - Is Machine Learning-based Detection an Effective Weapon?
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781119777465.ch9openalex-snapshot
Depth Analysis On DoS & DDoS Attacks
inferred← citeshttps://doi.org/10.1016/j.comnet.2021.108698openalex-snapshot
Edge security for SIP-enabled IoT devices with P4
inferred← citeshttps://doi.org/10.1016/j.comnet.2023.110146openalex-snapshot
A hybrid deep learning model for detecting DDoS flooding attacks in SIP-based systems
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2023.108655openalex-snapshot
Attack detection analysis in software-defined networks using various machine learning method
inferred← citeshttps://doi.org/10.1016/j.cosrev.2024.100661openalex-snapshot
A comprehensive review of vulnerabilities and AI-enabled defense against DDoS attacks for securing cloud services
inferred← citeshttps://doi.org/10.1109/citisia53721.2021.9719978openalex-snapshot
Using Deep learning for network traffic prediction to secure Software networks against DDoS attacks
inferred← citeshttps://doi.org/10.1109/ecai58194.2023.10194061openalex-snapshot
VoIP system for Wi-Fi Networks and Smart Terminals
inferred← citeshttps://doi.org/10.1109/icic53490.2021.9692955openalex-snapshot
Voice Over Internet Protocol: Vulnerabilities and Assessments
inferred← citeshttps://doi.org/10.11591/eei.v11i4.3835openalex-snapshot
Distributed denial of service attacks detection for software defined networks based on evolutionary decision tree model
inferred← citeshttps://doi.org/10.21608/ijicis.2021.51555.1046openalex-snapshot
Fast Detection of Distributed Denial of Service Attacks in VoIP Networks Using Convolutional Neural Networks
inferred← citeshttps://doi.org/10.31185/ejuow.vol11.iss3.460openalex-snapshot
QUALITY OF EXPERIENCE FOR VOICE OVER INTERNET PROTOCOL (VoIP)
inferred← citeshttps://doi.org/10.32604/cmc.2023.033896openalex-snapshot
An IoT Environment Based Framework for Intelligent Intrusion Detection
inferred← citeshttps://doi.org/10.3390/app13031864openalex-snapshot
A Novel Approach for Efficient Mitigation against the SIP-Based DRDoS Attack
inferred← citeshttps://doi.org/10.3390/app13126974openalex-snapshot
Detecting SPIT Attacks in VoIP Networks Using Convolutional Autoencoders: A Deep Learning Approach
inferred← citeshttps://doi.org/10.3390/electronics10111227openalex-snapshot
Machine Learning Approach Equipped with Neighbourhood Component Analysis for DDoS Attack Detection in Software-Defined Networking
inferred← citeshttps://doi.org/10.3390/electronics11193161openalex-snapshot
Secure State Estimation of Cyber-Physical System under Cyber Attacks: Q-Learning vs. SARSA
inferred← citeshttps://doi.org/10.3390/network2040032openalex-snapshot
Call Me Maybe: Using Dynamic Protocol Switching to Mitigate Denial-of-Service Attacks on VoIP Systems
inferred← citeshttps://doi.org/10.3390/telecom5030029openalex-snapshot
Studying the Impact of Different TCP DoS Attacks on the Parameters of VoIP Streams
inferred← citeshttps://doi.org/10.3390/telecom6040098openalex-snapshot
Assessing the Impact of DoS Attacks on the Performance of Asterisk-Based VoIP Platforms
inferred← citeshttps://doi.org/10.4018/ijdst.2021040106openalex-snapshot
Teaching Management and Monitoring Abnormal Network Behaviors Under COVID-19
inferred← citeshttps://doi.org/10.48175/ijarsct-5645openalex-snapshot
A Study on DDOS Attacks, Danger, and its Prevention
inferred← citeshttps://doi.org/10.51201/jusst/21/06452openalex-snapshot
Segregating Signaling and Media Planes into Different containers
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