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Furthermore, the classification of attack movement in cases such as whether the motion was a straight punch motion or an upper cut motion is possible.
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However, there is not a deep classification of attacks in CWSNs and study of attacks against cognitive WSNs does not exist.
Moreover, some classifications of attacks in CR exist [3, 9, 11].
The second dimension allows for classification of the attack targets.
The need for effective real-time classification of DDoS attack in cloud computing increases the complexity of detection techniques.
Authors have mainly worked on a particular jamming attack, and therefore, the classification of different attacks remained relatively less studied.
The proposed mathematical model is an attempt towards solid foundation for the classification of jamming attacks.
In this paper, we presented a classification of malware attacks in IaaS cloud environments.
This multi-modal detection scheme not only enhanced the accuracy of detection but also provided the classification of jamming attacks.
The major contribution of the work is the classification of jamming attacks with accuracy and low false alarm rate.
After detection, classification of jamming attacks is necessary to launch appropriate recovery techniques like channel hopping or spatial retreat.
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