Search Results - (( (programme OR program) attack detection algorithm ) OR ( java application using algorithm ))
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Early detection and mitigation of DDoS attacks in software defined networks
Published 2018“…To detect and mitigate this attack at its early stages, an entropy-based DDoS attack detection and mitigation algorithm was proposed. …”
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An Intelligence Technique For Denial Of Service (Dos) Attack Detection
Published 2017“…Special features of connection records have been acknowledged to be used in DoS attacks. The result from this experiment will show the effectiveness of Neural Network using the backpropagation learning algorithm for detecting DoS attack.…”
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An intelligence technique for denial of service (DoS) attack detection
Published 2018“…Special features of connection records have been acknowledged to be used in DoS attacks. The result from this experiment will show the effectiveness of Neural Network using the backpropagation learning algorithm for detecting DoS attack.…”
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Generalized Entropy-Based Approach With A Dynamic Threshold To Detect Ddos Attacks On Software Defined Networking Controller
Published 2021“…GEADDDC generalizes the Renyi Joint Entropy algorithm and uses a dynamic threshold to detect DDoS attacks on the SDN controller.…”
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An approach for cross-site scripting detection and removal based on genetic algorithms.
Published 2014“…In this paper, we propose to explore an approach based on genetic algorithms that will be able to detect and remove cross-site scripting vulnerabilities from the source code before an application is deployed. …”
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Unprecedented smart algorithm for uninterrupted SDN services during DDoS attack
Published 2021“…Nevertheless, it creates a significant loophole for the manifestation of a distributed denial of service (DDoS) attack straightforwardly. Furthermore, recently a Distributed Reflected Denial of Service (DRDoS) attack, an unusual DDoS attack, has been detected. …”
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Cross-site scripting detection based on an enhanced genetic algorithm
Published 2015“…In this paper, we propose to explore an approach based on genetic algorithms that will be able to detect cross-site scripting vulnerabilities in the source code before an application is deployed. …”
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Security testing of web applications for detecting and removing second-order SQL injection vulnerabilities
Published 2022“…This technique also applies the removing algorithm, which uses escaping method to remove the detected vulnerabilities. …”
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A controller-agnostic random oracle based intrusion detection method in software defined networks / Adnan
Published 2016“…Likewise, the soft programmable switches that are directly connected to the controller running atop end host servers are attractive targets for attackers to initiate control plane flooding; apart from authorized but untrusted hosts. …”
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Machine Learning Based Two Phase Detection and Mitigation Authentication Scheme for Denial-of-Service Attacks in Software Defined Networks
Published 2024“…In this research, Two-Phase Authentication of Attack Detection (TPAAD) scheme is proposed and investigated for detection and mitigation of DoS attacks in SDN to increase the performance of the above-mentioned issues. …”
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Designing a New Model for Worm Response Using Security Metrics
Published 2024“…Once the user's computer detects any indication of the worm attacks, the apoptosis is triggered. …”
Proceedings Paper -
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A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
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An approach to improve detecting and removing cross- site scripting vulnerabilities in web applications
Published 2015“…Many web applications are vulnerable to XSS and are attacked frequently. Most of the previously proposed approaches focused on preventing and detecting XSS attacks during runtime, after vulnerable applications are already deployed. …”
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A New Mobile Botnet Classification based on Permission and API Calls
Published 2024“…As a result, 16 permissions and 31 API calls that are most related with mobile botnet have been extracted using feature selection and later classified and tested using machine learning algorithms. The experimental result shows that the Random Forest Algorithm has achieved the highest detection accuracy of 99.4% with the lowest false positive rate of 16.1% as compared to other machine learning algorithms. …”
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RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Final Year Project -
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Secure communication in Vehicular ad hoc network using modified ad hoc on demand distance vector
Published 2018“…The OMNET++ simulation program is used to justify the proposed algorithms. …”
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