Pinned Repositories
Directed-Acyclic-Graph-for-Peer-to-Peer-Distributed-Communication-in-Vehicular-Network
Internet of things(IoT) and Internet of Vehicles(IoV) are the buzz words today. Building a smart vehicle running on a smart road that could respond to the very urgent requests such as reporting an accident ahead or basic requests such as down- loading a song at the blink of an eye is the hottest topic researchers and computer scientists are working on. The latest testing and later the rolling out of 5G technology will prove to be a boon in providing the required speed, which will further enhance safety as well as Quality-of-service(QoS) concerns. Hashgraphs, a superior distributed ledger technology, is used to create a communication network between various ve- hicles and other essential parameters. The decentral- ized system will check any delay in responses through the inherent consensus process, which is the USP of hashgraph. Scheduling the requests is done according to the priorities to provide a better Quality-of-Service. We have also compared why hashgraph surpasses other counter-parts such as generic blockchain or ethereum. The proposed model is simulated using Omnetpp simulation by making proper design and network description files. Messages can be seen getting transferred between the vehicles, and hashgraph is implemented for prioritizing the messages
Energy-efficient-data-detection-for-uplink-multiuser-massive-mimo-systems
Insider-Threat-and-Anomaly-Detection-from-User-Activities
Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)
Intern-work
compare the performance of the model in deep learning and svm to find the best way to use with sdn classify DDoS attack
link-level-performance-evaluation-of-mimo
Evaluate the capacity and error rate performance of basic MIMO transmission and reception schemes.
mimo-detect-and-decode
mininet-wifi-projects
mininet-wifi-projects
Network-Traffic-Classification-2
Uses Neural Net for Classification
ns2-leach
leach ns2.35
SDUWN
Software-Defined Underwater Wireless Networks
rubiruchi's Repositories
rubiruchi/DL-Massive-MIMO
DL tackling Massive-MIMO problems
rubiruchi/ST-MetaNet
The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"
rubiruchi/Attack-and-Anomaly-Detection-in-IoT-Sensors-in-IoT-Sites-Using-Machine-Learning-Approaches
Attack and Anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats and attacks in these infrastructures are also growing commensurately. Denial of Service, Data Type Probing, Malicious Control, Malicious Operation, Scan, Spying and Wrong Setup are such attacks and anomalies which can cause an IoT system failure. In this paper, performances of several machine learning models have been compared to predict attacks and anomalies on the IoT systems accurately. The machine learning (ML) algorithms that have been used here are Logistic Regression (LR), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), and Artificial Neural Network (ANN). The evaluation metrics used in the comparison of performance are accuracy, precision, recall, f1 score, and area under the Receiver Operating Characteristic Curve. The system obtained 99.4% test accuracy for Decision Tree, Random Forest, and ANN. Though these techniques have the same accuracy, other metrics prove that Random Forest performs comparatively better.
rubiruchi/awesome-robotics-datasets
A collection of useful datasets for robotics and computer vision
rubiruchi/BerePi
Data Collection based on Wireless Sensor Network (WSN), RaspberryPi, for Machine Learning
rubiruchi/CCPP
Solution for Capacitated Controller Placement Problem for SDN Network
rubiruchi/contikipy
Automated cooja simulations, log parsing, and plotting with python.
rubiruchi/edX-queueing-theory
Programming assignments for EdX Queuing Theory: from Markov Chains to Multi-Server Systems
rubiruchi/energy-management-in-WSN
rubiruchi/gnuradio-wsn
rubiruchi/Machine-learning-in-Traffic-classification-of-SDN-based-networks
rubiruchi/mimoPIDtune
Matlab implementation of the "MIMO PID tuning via iterated LMI restiction" by Boyd, Hast, and Astrom
rubiruchi/Modulation-Classification
Fully Connected Neural Network and CNN Models for Modulation Classification on a synthetic dataset, generated with GNU Radio, consisting of 10 modulations. This is a variable-SNR dataset with moderate LO drift, light fading, and numerous different labeled SNR increments for use in measuring performance across different signal and noise power scenarios.
rubiruchi/Multicast_Flooding
NS2 implementation of the paper : Geocasting in Mobile Ad Hoc Networks: Location-BasedMulticast Algorithms.
rubiruchi/MultipathRoutingWSN
A multipath routing program for Wireless Sensor Networks based on a normalised link cost function
rubiruchi/Networking-Traffic-Classification
Exploration on ML approaches to classifying networking traffic.
rubiruchi/ns2-Packet-Dropping-Attack
rubiruchi/ns2-roadv
roadv protocol implementation in ns2
rubiruchi/ntopng
Web-based Traffic and Security Network Traffic Monitoring
rubiruchi/OFDM-Simulation
OFDM and Zero Tail ODFM Comparison
rubiruchi/PCAPFeatureExtractor
PCAP feature extractor script written in Python. Features are for HMM and used for network traffic classification research.
rubiruchi/Prediction-of-CPU-Burst-Times
Developed a novel technique of estimating CPU burst-times using machine learning algorithms. Analyzed K-Nearest Neighbor and Simple Vector Machine (SVM) implementations using Pandas, Matplotlib, Weka and Google Cloud.
rubiruchi/rmw-mininet
Repository Lab SDN Wireless and Mobile Network Course
rubiruchi/sdWPT-Simulator
Software-defined wireless power transfer simulator
rubiruchi/Smart_Irrigation_IOT_Machine_Learning
Smart Irrigation with IOT and Machine learninig
rubiruchi/Traffic-Engineering-Project
Traffic Engineering Project - 2017/2018
rubiruchi/traffic_prediction
The source code for citywide wireless traffic prediction based on deep learning (DenseNet)
rubiruchi/wmediumd
Wireless medium simulation tool
rubiruchi/WSN_Mesh_ZigBee
Red Inalámbrica de Sensores en Topología de Malla.
rubiruchi/wsn_sec_routing