This research aims to identify the DDoS attacker attributes specific to WSNs by analysing the data flow, system access information and identity attacks. These attributes, like traffic patterning or the congestion recognition, will be used to improve the overall accuracy of DDoS attack identification in WSNs. This research will focus on designing a lightweight and robust pattern analysing algorithm for the improved DDoS identification accuracy in WSNs
12 freelancers are bidding on average £3971 for this job
I am university professor with PhD in technical sciences. I have so far published 25 scientific papers and one book in the field of Mobile and Wireless Networks.