## 3 Proposed Detection Mechanism
### Traffic Classification
* [PERSON] and [PERSON] (2017) [PERSON]; [PERSON]; [PERSON] Abnormal event detection in wireless sensor networks based on multiattribute correlation. _J. Electr. Comput. Eng._**2017**, _2017_, 2587948. [CrossRef]
* [PERSON] and [PERSON] (2020) [PERSON]; [PERSON] Naive Bayes classifier to mitigate the DDoS attacks severity in ad-hoc networks. _Int. J. Commun. Netw. Inf. Secur._**2020**, _12_, 221-226. * [PERSON] and [PERSON] (2014) [PERSON]; [PERSON] An intelligent ddos attack detection system using packet analysis and support vector machine. _IJICR_**2014**, _14_, 478-485. [CrossRef]
* [PERSON] et al. (2013) [PERSON]; [PERSON], [PERSON]; [PERSON] Detection and discrimination of DDoS attacks from flash crowd using entropy variations. _Int. J. Eng. Technol._**2013**, \(5\), 3514-3519. * [PERSON] et al. (2009) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Discriminating DDoS flows from flash crowds using information distance. In Proceedings of the 2009 Third International Conference on Network and System Security, Gold Coast, QLD, Australia, 19-21 October 2009; pp. 351-356. * [PERSON] et al. (2009) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Distinguishing DDoS attacks from flash crowds using probability metrics. In Proceedings of the 2009 Third International Conference on Network and System Security, Gold Coast, QLD, Australia, 19-21 October 2009; pp. 9-17. * [PERSON] et al. (2011) [PERSON]; [PERSON]; [PERSON]; [PERSON] Discriminating DDoS attack traffic from flash crowd through packet arrival patterns. In Proceedings of the 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Shanghai, China, 10-15 April 2011; pp. 952-957. * [PERSON] et al. (2011) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Discriminating DDoS attacks from flash crowds using flow correlation coefficient. _IEEE Trans. Parallel Distrib. Syst._**2011**, _23_, 1073-1080. [CrossRef]
* [PERSON] and [PERSON] (2018) [PERSON]; [PERSON] Detection of spoofed and non-spoofed DDoS attacks and discriminating them from flash crowds. _EURASIP J. Inf. Secur._**2018**, _2018_, 1-12. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON] Detection of DDoS attacks and flash events using Shannon entropy, KOAD and Mahalanobis distance. In Proceedings of the 2019 22 nd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN), Paris, France, 19-21 February 2019; pp. 222-229. * [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON] Detection of high rate DDoS attack from flash events using information metrics in software defined networks. In Proceedings of the 2018 10 th International Conference on Communication Systems & Networks (COMSNETS), Bengaluru, India, 3-7 January 2018; pp. 421-424. * [PERSON] (2010) [PERSON] A New Framework For Oos Provisioning In Wireless Lans Using The P-persistent Mac Protocol. Ph.D. Thesis, University of Central Florida, Orlando, FL, USA, 2010. * [PERSON] (2013) [PERSON] Performance analysis of DSDV, AODV and DSR in Wireless Sensor Network. _Int. J. Adv. Res. Comput. Sci. Electron. Eng. (IJARCSE)_**2013**, \(2\), 395-404. * [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Exploiting Heterogeneity for Opportunistic Resource Scaling in Cloud-hosted Applications. _IEEE Trans. Serv. Comput._**2019**, _14_, 1739-1750. [CrossRef]
* [PERSON] and [PERSON] (2018) [PERSON]; [PERSON]; [PERSON] Denial of service defence for resource availability in wireless sensor networks. _IEEE Access_**2018**, \(6\), 6975-7004. [CrossRef]