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YuHunag, C., MinChi, T., YaoTing, C., YuChieh, C., YanRen, C.: A novel design for future on-demand service and security. In: IEEE/ACM Transactions on Networking, vol. Ranjan, S., Swaminathan, R., Uysal, M., Nucci, A., Knightly, E.: DDoS-shield: DDoS-resilient scheduling to counter application layer attacks.
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Ddos attack tool 2014 verification#
Saxena, R., Dey, S.: Cloud Audit: A Data Integrity Verification Approach for Cloud Computing, Procedia Computer Science, vol. In: Cloud computing with e-science applications, ISBN:978-1-4665-9115-8, pp. Saxena, R., Dey, S.: Cloud shield: effective solution for DDoS in cloud, In: IDCS 2015, Lecture Notes in Computer Science (LNCS), vol. Saxena, R., Dey, S.: collaborative approach for data integrity verification in cloud computing, In: SNDS 2014, Communications in Computer and Information Science (CCIS), vol. The experimental results are included to show the effectiveness of the proposed method for DDoS attack prevention and mitigation. Our method has shown the tremendous improvement over the other state of the art methods. We tested this application based on various parameters. To demonstrate our approach, we implement an application based on Hadoop and MapReduce framework. With the help of Weibull distribution, we can easily obtain the availability, reliability and median life of DDoS defense in the cloud environment. The advantage of this approach is that it reduces the overhead on the cloud user. We analyze the traffic pattern to generate attack alert for different cloud users. The identification factor depends on the weaknesses left by the intruder. The approach provides an efficient and fruitful solution because of its strong identification factor. The method uses Weibull distribution for analyzing the source of the DDoS attack. To address this problem, we propose a third party auditor-based packet traceback approach. It is a very hard task for novice cloud users to identify the real source of DDoS attack because the attacker spoofs the Internet Protocol and Media Access Control addresses. Distributed denial of service (DDoS) attack is one of the prominent risk factors for the development of cloud service.