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[1]
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Cloud data assured deletion scheme based on dynamic sliding window
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Peer-to-Peer Networking and Applications,
2022 |
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[2]
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A Comparative Analysis of Machine Learning-Based Website Phishing Detection Using URL Information
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2022 5th International …,
2022 |
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[3]
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DDoSDet: An approach to Detect DDoS attacks using Neural Networks
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arXiv preprint arXiv:2201.09514,
2022 |
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[4]
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Hadoop Distributed File System Security Challenges and Examination of Unauthorized Access Issue
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Journal of Information Security,
2022 |
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[5]
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Detection of DDOS Attack Using IDS Mechanism: A Review
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2022 1st International …,
2022 |
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[6]
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Edge Computing-Based DDoS Attack Detection for Intelligent Transportation Systems
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Cyber Security, Privacy and Networking,
2022 |
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[7]
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A Deep and Efficient Analysis of DDOS Attack in Software Defined Network
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2022 |
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[8]
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Defensive Approach using Blockchain Technology against Distributed Denial of Service attacks
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International Conference on …,
2021 |
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[9]
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Decentralized approach for data security of Medical IoT Devices
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… Conference on Smart …,
2021 |
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[10]
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The Presentation of a New Defense Framework Against the Distributed Denial of Service Attacks Using the Software Defined Network
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journal of Advanced …,
2021 |
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[11]
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An Integrated BIM-IoT approach to support energy monitoring
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… Conference on Smart …,
2021 |
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[12]
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A big data and deep learning based approach for ddos detection in cloud computing environment
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2021 IEEE 10th Global …,
2021 |
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[13]
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How IoT is Making DDoS Attacks More Dangerous
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2021 |
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[14]
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Machine Learning Approaches for Combating Distributed Denial of Service Attacks in Modern Networking Environments
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2021 |
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[15]
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A Detailed Analysis on Intrusion Identification Mechanism in Cloud Computing and Datasets
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2020 |
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[16]
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Uma Metodologia para análise de incidentes de segurança da informação
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2020 |
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[17]
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Cross-site Scripting Attacks: Classification, Attack, and Countermeasures
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2020 |
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[18]
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An Economic Incentive-Based Risk Transfer Approach for Defending Against DDoS Attacks
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2020 |
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[19]
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The detection method of low-rate DoS attack based on multi-feature fusion
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2020 |
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[20]
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A Comprehensive Survey on DDoS Attacks and Recent Defense Mechanisms
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2020 |
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[21]
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Ways to eliminate DDos attacks
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2020 |
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[22]
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A lightweight Anomaly based DDoS flood attack detection for Internet of vehicles
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2020 |
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[23]
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Denial of Service Attacks: Difference in Rates, Duration, and Financial Damages and the Relationship Between Company Assets and Revenues
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2020 |
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[24]
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Методы обнаружения и предотвращения DDOS-атак
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2019 |
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[25]
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Applying Multi-Level Theory to an Information Security Incident Domain Ontology.
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2019 |
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[26]
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Systematic review of aspects of DDoS attacks detection
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2019 |
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[27]
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Applying Multi-Level Theory to an Information Security Incident Domain Ontology
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2019 |
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[28]
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A Review on Detection of DDOS Attack Using Machine Learning and Deep Learning Techniques
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2019 |
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[29]
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Développement d'un protocole SCADA temps réel sécurisé à base de l'IEC 60870-5-101
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2019 |
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[30]
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Smart Card Security: Applications, Attacks, and Countermeasures
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2019 |
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[31]
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DDoS Attacks—Analysis and Prevention
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Innovations in Computer Science and Engineering,
2019 |
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[32]
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The Impact of Crypto-Currency Risks on the Use of Blockchain for Cloud Security and Privacy
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2018 |
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[33]
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An efficient index structure for distributed k-nearest neighbours query processing
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Soft Computing,
2018 |
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[34]
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Fixing the Cloud Forensic Problem with Blockchain
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2018 |
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[35]
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Multi-agent-based DDoS detection on big data systems
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2018 |
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[36]
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Security Analytics Tools and Implementation Success Factors: Instrument Development Using Delphi Approach and Exploratory Factor Analysis
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2018 |
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[37]
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Could Block Chain Technology Help Resolve the Cloud Forensic Problem?
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2018 |
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[38]
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Cashing in on Cyberpower: How Interdependent Actors Seek Economic Outcomes in a Digital World
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2018 |
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[39]
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Researching Cyber Weapons: An Enumerative Bibliography
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Cyber Weaponry,
2018 |
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[40]
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Network Anomaly Detection and Prevention using Statistical and Machine Learning Approaches
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2018 |
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[41]
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Forecasting problems in cybersecurity: applying econometric techniques to measure IT risk
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2018 |
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[42]
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A Game Theory Model for Detection and Mitigation of Ddos Attacks on Web Servers
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2018 |
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[43]
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Performance Improvement of MapReduce for Heterogeneous Clusters Based on Efficient Locality and Replica Aware Scheduling (ELRAS) Strategy.
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2017 |
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[44]
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Collaborative detection and filtering techniques against denial of service attacks in cloud computing
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2017 |
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[45]
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DDoS Attacks: Tools, Mitigation Approaches, and Probable Impact on Private Cloud Environment
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Security and Communication Networks,
2017 |
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[46]
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COLLABORATIVE DETECTION AND FILTERING TECHNIQUES AGAINST DENIAL OF SERVICE ATTACKS IN CLOUD COMPUTING.
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Journal of Theoretical and Applied Information Technology,
2017 |
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[47]
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Towards Large-Scale, Heterogeneous Anomaly Detection Systems in Industrial Networks: A Survey of Current Trends
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Security and Communication Networks,
2017 |
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[48]
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Using SDN Approach to Secure Cloud Servers against Flooding Based DDoS Attacks
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2017 |
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[49]
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Foreword
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2017 |
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[50]
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Data-Driven Anomaly Detection in Industrial Networks
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2017 |
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[51]
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An Empirical Study of The Impact of DoS, DDoS Attacks on Various Web Servers and Application Servers
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Journal of Science and Technology on Information Security,
2017 |
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[52]
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Denial of service attacks detection using synchronization packets analysis
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2017 |
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[53]
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Designing a Robust Closed-Loop Intrusion Detection Predictive Model Using Signal Processing Techniques in Cloud Computing Environment
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2017 |
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[54]
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Performance Improvement of MapReduce for Heterogeneous Clusters Based on Efficient Locality and Replica Aware Scheduling (ELRAS) Strategy
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Wireless Personal Communications,
2017 |
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[55]
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HADM: detection of HTTP GET flooding attacks by using Analytical hierarchical process and Dempster–Shafer theory with MapReduce
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Security and Communication Networks,
2016 |
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[56]
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Recent Developments on Security and Reliability in Large-Scale Data Processing with MapReduce
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International Journal of Data Warehousing and Mining (IJDWM),
2016 |
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[57]
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Graphics processing unit based next generation DDoS prevention system
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2016 |
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[58]
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Comparative analysis of features based machine learning approaches for phishing detection
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2016 |
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[59]
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A survey of cloud-based network intrusion detection analysis
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2016 |
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[60]
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BENEFITS AND CHALLENGES OF THE ADOPTION OF CLOUD COMPUTING IN BUSINESS
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2016 |
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[61]
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Recent survey of various defense mechanisms against phishing attacks
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Journal of Information Privacy and Security,
2016 |
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[62]
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Bigdata platform based approach for defending against DDoS
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Int'l Conf. on Advances in Big Data Analytics,
2016 |
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[63]
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Securing cloud computing.
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2016 |
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[64]
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Distributed Denial of Service Prevention Techniques
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2015 |
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[65]
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A Novel approach for Detection of Distributed Denial of Service attack in VANET
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International Journal of Computer Applications,
2015 |
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[66]
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Intrusion Detection and Countermeasure of Virtual Cloud Systems-State of the Art and Current Challenges
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International Journal of Advanced Computer Science and Applications,
2015 |
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[67]
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Safety of data warehouse for remote laboratories in Laboratory Management System and network of road junctions
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2015 |
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[68]
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Distributed Denial of Service (DDOS) Attack, Networks, Tools and DEFENSE.
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International Journal of Applied Engineering Research,
2015 |
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[69]
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Defending Against DDOS Flooding Attacks-A Data Streaming Approach
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2015 |
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[70]
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Analysis of Denial of Services (DOS) Attacks and Prevention Techniques
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International Journal of Engineering Research and Technology,
2015 |
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[71]
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Similarity Detection via Random Subsets for Cyber War Protection in Big Data using Hadoop Framework
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2015 |
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[72]
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Defence for Distributed Denial of Service Attacks in Cloud Computing
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Procedia Computer Science,
2015 |
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[73]
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DDoS detection and filtering technique in cloud environment using GARCH model
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2015 IEEE 4th Global Conference on Consumer Electronics (GCCE),
2015 |
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[74]
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A Proactive Approach to Intrusion Detection in Cloud Software as a Service
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Achieving Enterprise Agility through Innovative Software Development,
2015 |
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[75]
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Botnet-originated DDoS attacks: Overview and Mitigation
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2015 |
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[76]
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Detection of DDoS attack in VANET using LPN (Local Protection Node)
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2015 |
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[77]
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THRESHOLD BASED APPROACH TO DETECT DDOS ATTACKS IN CLOUD
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2014 |
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[78]
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Defense against DoS attack: PSO approach in virtualization
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2014 |
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[79]
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Presenting a pattern for detection of denial of service attacks with web mining technique and fuzzy logic approach
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2014 |
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[80]
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An Efficient Attack Resistance Model Using Application Based Polynomial Distribution
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2014 |
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[81]
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Autonomous Agent for DDoS Attack Detection and Defense in an Experimental Testbed
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International Journal of Fuzzy Systems,
2014 |
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[82]
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Cyber Conflict Bibliography
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GWU Legal Studies Research Paper,
2013 |
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[83]
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Digital compensation for timing mismatches in interleaved ADCs
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2013 |
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[84]
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Analysis of Machine Learning Based DDoS Attack Detection Techniques in Software Defined Network
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[85]
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IoT Security using Machine Learning Techniques
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[86]
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Cyber Security Traits of a Future-Ready Organization
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[87]
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Analysis of Machine learning based XSS attack Detection Techniques
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[88]
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Cyber Security, Laws & Policy: A Study
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[89]
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Advancement of Cloud Computing and Big Data Analytics in Healthcare Sector Security
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[90]
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Challenges of the System and Network Administration
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[91]
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Efficient graphics processing unit based algorithms for high-throughput communication systems
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[92]
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DDOS attack detection and prevention methods
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