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A survey and meta‐analysis of application‐layer distributed denial‐of‐service attack

https://doi.org/10.1002/dac.4603
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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.1289openalex-snapshot
Effective allied network security system based on designed scheme with conditional legitimate probability against distributed network attacks and intrusions
inferredcites →https://doi.org/10.1002/sec.1236openalex-snapshot
Application layer DDoS attack detection using cluster with label based on sparse vector decomposition and rhythm matching
inferredcites →https://doi.org/10.1007/978-3-319-11629-7openalex-snapshot
Signal Processing and Information Technology
inferredcites →https://doi.org/10.1007/978-3-540-85886-7_9openalex-snapshot
Distinguishing between FE and DDoS Using Randomness Check
inferredcites →https://doi.org/10.1007/978-3-642-10485-5_13openalex-snapshot
A Lightweight Mechanism to Mitigate Application Layer DDoS Attacks
inferredcites →https://doi.org/10.1007/978-981-10-6487-6openalex-snapshot
Genetic and Evolutionary Computing
inferredcites →https://doi.org/10.1007/s11235-004-5581-0openalex-snapshot
DDoS Attack Detection and Wavelets
inferredcites →https://doi.org/10.1007/s12652-013-0196-5openalex-snapshot
ConnectionScore: a statistical technique to resist application-layer DDoS attacks
inferredcites →https://doi.org/10.1016/j.aci.2017.10.003openalex-snapshot
HTTP flood attack detection in application layer using machine learning metrics and bio inspired bat algorithm
inferredcites →https://doi.org/10.1016/j.comcom.2010.09.009openalex-snapshot
OverCourt: DDoS mitigation through credit-based traffic segregation and path migration
inferredcites →https://doi.org/10.1016/j.comcom.2012.09.010openalex-snapshot
Detection of distributed denial of service attacks using an ensemble of adaptive and hybrid neuro-fuzzy systems
inferredcites →https://doi.org/10.1016/j.comcom.2014.03.009openalex-snapshot
A moving target DDoS defense mechanism
inferredcites →https://doi.org/10.1016/j.comcom.2014.09.002openalex-snapshot
Mitigating congestion based DoS attacks with an enhanced AQM technique
inferredcites →https://doi.org/10.1016/j.comcom.2015.06.012openalex-snapshot
Detecting DDoS attacks against data center with correlation analysis
inferredcites →https://doi.org/10.1016/j.comnet.2003.10.003openalex-snapshot
DDoS attacks and defense mechanisms: classification and state-of-the-art
inferredcites →https://doi.org/10.1016/j.comnet.2005.01.005openalex-snapshot
WebSOS: an overlay-based system for protecting web servers from denial of service attacks
inferredcites →https://doi.org/10.1016/j.comnet.2005.06.010openalex-snapshot
A survivable DoS-resistant overlay network
inferredcites →https://doi.org/10.1016/j.comnet.2010.05.002openalex-snapshot
Defense techniques for low-rate DoS attacks against application servers
inferredcites →https://doi.org/10.1016/j.comnet.2017.03.018openalex-snapshot
Detecting HTTP-based application layer DoS attacks on web servers in the presence of sampling
inferredcites →https://doi.org/10.1016/j.compeleceng.2012.07.004openalex-snapshot
Detecting denial of service by modelling web-server behaviour
inferredcites →https://doi.org/10.1016/j.cose.2013.03.014openalex-snapshot
A game theoretic defence framework against DoS/DDoS cyber attacks
inferredcites →https://doi.org/10.1016/j.cose.2015.06.007openalex-snapshot
A systematic review of IP traceback schemes for denial of service attacks
inferredcites →https://doi.org/10.1016/j.cose.2016.10.005openalex-snapshot
Application layer HTTP-GET flood DDoS attacks: Research landscape and challenges
inferredcites →https://doi.org/10.1016/j.cose.2017.09.009openalex-snapshot
Slow rate denial of service attacks against HTTP/2 and detection
inferredcites →https://doi.org/10.1016/j.future.2013.08.002openalex-snapshot
Detection and defense of application-layer DDoS attacks in backbone web traffic
inferredcites →https://doi.org/10.1016/j.jksuci.2017.07.004openalex-snapshot
BARTD: Bio-inspired anomaly based real time detection of under rated App-DDoS attack on web
inferredcites →https://doi.org/10.1016/j.jnca.2008.02.018openalex-snapshot
One-way queuing delay measurement and its application on detecting DDoS attack
inferredcites →https://doi.org/10.1016/j.jnca.2018.03.024openalex-snapshot
D-FACE: An anomaly based distributed approach for early detection of DDoS attacks and flash events
inferredcites →https://doi.org/10.1016/j.jnca.2018.03.030openalex-snapshot
User behavior analytics-based classification of application layer HTTP-GET flood attacks
inferredcites →https://doi.org/10.1049/iet-com.2009.0809openalex-snapshot
Mitigating application layer distributed denial of service attacks via effective trust management
inferredcites →https://doi.org/10.1080/07294360.2013.841651openalex-snapshot
The benefits of publishing systematic quantitative literature reviews for PhD candidates and other early-career researchers
inferredcites →https://doi.org/10.1080/21642583.2016.1241193openalex-snapshot
Denial of service attacks – an updated perspective
inferredcites →https://doi.org/10.1080/21642583.2017.1331768openalex-snapshot
A review of detection approaches for distributed denial of service attacks
inferredcites →https://doi.org/10.1093/comjnl/bxz064openalex-snapshot
DeepDetect: Detection of Distributed Denial of Service Attacks Using Deep Learning
inferredcites →https://doi.org/10.1109/apcc.2005.1554136openalex-snapshot
Defending Application DDoS with Constraint Random Request Attacks
inferredcites →https://doi.org/10.1109/compsac.2015.240openalex-snapshot
Web Server Protection against Application Layer DDoS Attacks Using Machine Learning and Traffic Authentication
inferredcites →https://doi.org/10.1109/comst.2018.2870658openalex-snapshot
DDoS Attacks at the Application Layer: Challenges and Research Perspectives for Safeguarding Web Applications
inferredcites →https://doi.org/10.1109/elektro.2012.6225571openalex-snapshot
Sophisticated Denial of Service attacks aimed at application layer
inferredcites →https://doi.org/10.1109/glocom.2011.6133798openalex-snapshot
Web DDoS Detection Schemes Based on Measuring User's Access Behavior with Large Deviation
inferredcites →https://doi.org/10.1109/icnp.2002.1181418openalex-snapshot
Attacking DDoS at the source
inferredcites →https://doi.org/10.1109/icns.2007.5openalex-snapshot
A Detection and Offense Mechanism to Defend Against Application Layer DDoS Attacks
inferredcites →https://doi.org/10.1109/icsess.2015.7339229openalex-snapshot
A survey of defense mechanisms against application layer distributed denial of service attacks
inferredcites →https://doi.org/10.1109/ict.2016.7500408openalex-snapshot
Increasing web service availability by detecting application-layer DDoS attacks in encrypted traffic
inferredcites →https://doi.org/10.1109/imsccs.2006.159openalex-snapshot
A Novel Model for Detecting Application Layer DDoS Attacks
inferredcites →https://doi.org/10.1109/infcomw.2011.5928950openalex-snapshot
Discriminating DDoS attack traffic from flash crowd through packet arrival patterns
inferredcites →https://doi.org/10.1109/infocom.2006.127openalex-snapshot
DDoS-Resilient Scheduling to Counter Application Layer Attacks Under Imperfect Detection
inferredcites →https://doi.org/10.1109/infocom.2008.43openalex-snapshot
Live Baiting for Service-Level DoS Attackers
inferredcites →https://doi.org/10.1109/infoct.2018.8356848openalex-snapshot
DDoS attack detection mechanism in the application layer using user features
inferredcites →https://doi.org/10.1109/iscc.2010.5546587openalex-snapshot
A new relative entropy based app-DDoS detection method
inferredcites →https://doi.org/10.1109/jisic.2014.21openalex-snapshot
A Selective Defense for Application Layer DDoS Attacks
inferredcites →https://doi.org/10.1109/nesea.2011.6144944openalex-snapshot
DDoS flooding attack detection through a step-by-step investigation
inferredcites →https://doi.org/10.1109/nss.2010.69openalex-snapshot
CALD: Surviving Various Application-Layer DDoS Attacks That Mimic Flash Crowd
inferredcites →https://doi.org/10.1109/pacrim.2007.4313218openalex-snapshot
Detection of HTTP-GET flood Attack Based on Analysis of Page Access Behavior
inferredcites →https://doi.org/10.1109/surv.2013.031413.00127openalex-snapshot
A Survey of Defense Mechanisms Against Distributed Denial of Service (DDoS) Flooding Attacks
inferredcites →https://doi.org/10.1109/tdsc.2005.35openalex-snapshot
D-WARD: A Source-End Defense against Flooding Denial-of-Service Attacks
inferredcites →https://doi.org/10.1109/tenconspring.2013.6584511openalex-snapshot
A novel framework to detect and block DDoS attack at the application layer
inferredcites →https://doi.org/10.1109/tifs.2011.2107320openalex-snapshot
Low-Rate DDoS Attacks Detection and Traceback by Using New Information Metrics
inferredcites →https://doi.org/10.1109/tnet.2008.923716openalex-snapshot
A Large-Scale Hidden Semi-Markov Model for Anomaly Detection on User Browsing Behaviors
inferredcites →https://doi.org/10.1109/tnet.2008.925628openalex-snapshot
Monitoring the Application-Layer DDoS Attacks for Popular Websites
inferredcites →https://doi.org/10.1109/tnet.2011.2171057openalex-snapshot
Adaptive Selective Verification: An Efficient Adaptive Countermeasure to Thwart DoS Attacks
inferredcites →https://doi.org/10.1109/tnet.2012.2194508openalex-snapshot
FireCol: A Collaborative Protection Network for the Detection of Flooding DDoS Attacks
inferredcites →https://doi.org/10.1109/tpds.2009.147openalex-snapshot
Detecting Application Denial-of-Service Attacks: A Group-Testing-Based Approach
inferredcites →https://doi.org/10.1109/tpds.2010.97openalex-snapshot
Traceback of DDoS Attacks Using Entropy Variations
inferredcites →https://doi.org/10.1109/tpds.2011.262openalex-snapshot
Discriminating DDoS Attacks from Flash Crowds Using Flow Correlation Coefficient
inferredcites →https://doi.org/10.1109/tpds.2012.232openalex-snapshot
Resisting Web Proxy-Based HTTP Attacks by Temporal and Spatial Locality Behavior
inferredcites →https://doi.org/10.1109/upcon.2017.8251130openalex-snapshot
Detection techniques of DDoS attacks: A survey
inferredcites →https://doi.org/10.1145/1731060.1731063openalex-snapshot
DDoS defense by offense
inferredcites →https://doi.org/10.1145/1980022.1980086openalex-snapshot
Mitigating denial of service attack using CAPTCHA mechanism
inferredcites →https://doi.org/10.1155/2013/821315openalex-snapshot
Real-Time Detection of Application-Layer DDoS Attack Using Time Series Analysis
inferredcites →https://doi.org/10.1155/2019/1283472openalex-snapshot
Review of Recent Detection Methods for HTTP DDoS Attack
inferredcites →https://doi.org/10.14257/ijsia.2017.11.4.07openalex-snapshot
Application Layer DDOS Attack Detection Using Hybrid Machine Learning Approach
inferredcites →https://doi.org/10.17485/ijst/2016/v9i27/87872openalex-snapshot
Anomaly based Real Time Prevention of under Rated App-DDOS Attacks on Web: An Experiential Metrics based Machine Learning Approach
inferredcites →https://doi.org/10.17762/ijcnis.v9i1.2253openalex-snapshot
ADVANCED RANDOM TIME QUEUE BLOCKING WITH TRAFFIC PREDICTION FOR DEFENSE OF LOW-RATE DOS ATTACKS AGAINST APPLICATION SERVERS
inferredcites →https://doi.org/10.22266/ijies2017.0831.16openalex-snapshot
Suspicious Score Based Mechanism to Protect Web Servers against Application Layer Distributed Denial of Service Attacks
inferredcites →https://doi.org/10.25007/ajnu.v7n4a279openalex-snapshot
Application Layer Distributed Denial of Service Attacks Defense Techniques : A review
inferredcites →https://doi.org/10.26735/16587790.2019.002openalex-snapshot
Mitigation of Application Layer DDoS Flood Attack Against Web Servers
inferredcites →https://doi.org/10.3906/elk-1308-188openalex-snapshot
Behavior-based detection of application layer distributed denial of service attacks during flash events
inferredcites →https://doi.org/10.5120/18217-9244openalex-snapshot
A Secure Lightweight Algorithm for Protecting Network from DoS Attack
inferredcites →https://doi.org/10.5121/ijnsa.2017.9102openalex-snapshot
Application-Layer DDOS Detection Based on a One-Class Support Vector Machine
inferredcites →https://doi.org/10.54039/ijcnis.v9i1.2253openalex-snapshot
ADVANCED RANDOM TIME QUEUE BLOCKING WITH TRAFFIC PREDICTION FOR DEFENSE OF LOW-RATE DOS ATTACKS AGAINST APPLICATION SERVERS
inferredcites →https://doi.org/10.7763/ijcee.2013.v5.771openalex-snapshot
Protection from Application Layer DDoS Attacks for Popular Websites

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Application Layer Ddos Attack Classification Using Deep Learning
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A method based on encryption and node rating for securing the RPL protocol communications in the IoT ecosystem
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Spoof Detection in a Zigbee Network Using Forge-Resistant Network Characteristics (RSSI and LQI)
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A Step by Step Guide for Choosing Project Topics and Writing Research Papers in ICT Related Disciplines
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An Adaptive Multi-layered Approach for DoS Detection and Mitigation
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Mirai Botnet Attacks on IoT Applications: Challenges and Controls
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Secured Communication Using Virtual Private Network (VPN)
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Investigation of application layer DDoS attacks in legacy and software-defined networks: A comprehensive review
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Use of Machine Learning for Web Denial-of-Service Attacks: A Multivocal Literature Review
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A comprehensive review of vulnerabilities and AI-enabled defense against DDoS attacks for securing cloud services
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Comprehensive study on cognitive radio and IoT networks: Vulnerabilities and countermeasures
inferred← citeshttps://doi.org/10.1109/infotech55606.2022.9897121openalex-snapshot
Applications of Simulation Modelling Method in Prevention of Jamming Attacks
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Developing Attack Detection Models for Microservice Applications: A Comprehensive Framework and Its Illustration and Validation on DoS Attacks
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Detecting DoS Attacks in Microservice Applications: Approach and Case Study
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Generating Realistic Attack Data for Microservices: Framework and Case Study
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Lightweight Statistical Approach towards TCP SYN Flood DDoS Attack Detection and Mitigation in SDN Environment
inferred← citeshttps://doi.org/10.23919/indiacom70271.2026.11525845openalex-snapshot
A Framework for Detecting Application Layer DDOS Attacks in SDN Using Artificial Intelligence
inferred← citeshttps://doi.org/10.33411/ijist/1246openalex-snapshot
Detection of Application-Layer Dos Attacks in IoT Devices Using Feature Selection and Machine Learning Models
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Deep Learning (DL) for Advanced Persistent Threat (APT) Detection in Cybersecurity
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Applications of digital transformations and simulation modelling in aerospace engineering and security
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