Computer Networks

One of the major challenges for nano-network is the forfeit of communication protocols to exploit the potential communication between nano-machines forming fully operational nano-network. Because nano-machines face some restrictions such as limited processing power and confined computing capabilities, up-to-date nano-machines cannot perceive partial or full routing tables, which are the main decision-makers for data routing in legacy communication networks. The reason is that creating and updating routing tables continuously require adequate processing power with sufficient memory and computing capabilities, which is not the case of nano-nodes. So, new innovative routing schemes have to be proposed for nano-networks to deal with such extremely low resources. This paper focuses on decoupling the routing intelligence from nano-network towards a computational architecture using Software Defined Networking (SDN) and Network Function Virtualization (NFV) technologies by externalizing routing decisions and complex computations from nano-nodes to be fully compiled externally. Moreover, the paper proposes a probability-based path discovery protocol denoted by (PBPD) for electromagnetic nano-nodes suitable for dynamic nano-network applications. The performance of the proposed protocol is evaluated and compared with other routing protocols discussed in the literature. The proposed scheme provides low energy consumption inside nano-nodes and low computational complexity thanks to SDN/NFV system.

This dataset contains the preprocessed subsets of the original NSL-KDD, AWID, and CIC-IDS2017 datasets. First, we selected the subset from the original sets , and the stastic information can bee seen in our paper "Building An Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier". Then, we utilized our proposed CFS-BA algorithm to select different features and constructed the different .csv files.

Data from experiments used to plot graphs in KeySFC paper.

Matlab Source Files

This zip file contains the scripts, gnuplot and data files needed to generate the figures showing the numerical results presented in [1]. [1] S. Herrería-Alonso, A. Suárez-González, M. Rodríguez-Pérez and C. López-García, "Enhancing LoRaWAN scalability with Longest First Slotted CSMA," in Computer Networks, vol. 216, article number 109252, Oct. 2022, doi: 10.1016/j.comnet.2022.109252.

EClog dataset contains Web server access log data for an e-commerce website, pre-processed and saved in CSV format. The data were registered during the six-month operation of an online store. EClog, deposited in eclog.csv file, covers 183 days (from 1 December, 2019 to 31 May, 2020) and contains 35,157,691 records (HTTP requests). A 1-day sample of EClog data (11 December, 2019), containing 350,683 records, is also available in eclog_1day.csv file. Detailed data description may be found in: Chodak, G., Suchacka, G., Chawla, Y., HTTP-level e-commerce data based on server access logs for an online store, Computer Networks, 2020.