Towards the deployment of machine learning solutions in network traffic classification: A systematic survey
Traffic analysis is a compound of strategies intended to find relationships, patterns,
anomalies, and misconfigurations, among others things, in Internet traffic. In particular, traffic …
anomalies, and misconfigurations, among others things, in Internet traffic. In particular, traffic …
A tool for the generation of realistic network workload for emerging networking scenarios
Internet workload is a mix of many and complex sources. Therefore, its accurate and realistic
replication is a difficult and challenging task. Such difficulties are exacerbated by the …
replication is a difficult and challenging task. Such difficulties are exacerbated by the …
Network traffic prediction using recurrent neural networks
N Ramakrishnan, T Soni - 2018 17th IEEE International …, 2018 - ieeexplore.ieee.org
The network traffic prediction problem involves predicting characteristics of future network
traffic from observations of past traffic. Network traffic prediction has a variety of applications …
traffic from observations of past traffic. Network traffic prediction has a variety of applications …
Characterization and prediction of mobile-app traffic using Markov modeling
Modeling network traffic is an endeavor actively carried on since early digital
communications, supporting a number of practical applications, that range from network …
communications, supporting a number of practical applications, that range from network …
A unified framework for quantifying privacy risk in synthetic data
Synthetic data is often presented as a method for sharing sensitive information in a privacy-
preserving manner by reproducing the global statistical properties of the original data …
preserving manner by reproducing the global statistical properties of the original data …
Proactive drone-cell deployment: Overload relief for a cellular network under flash crowd traffic
This paper is concerned with providing radio access network (RAN) elements (supply) for
flash crowd traffic demands. The concept of multi-tier cells [heterogeneous networks …
flash crowd traffic demands. The concept of multi-tier cells [heterogeneous networks …
HetHetNets: Heterogeneous traffic distribution in heterogeneous wireless cellular networks
A recent approach in modeling and analysis of the supply and demand in heterogeneous
wireless cellular networks has been the use of two independent Poisson point processes …
wireless cellular networks has been the use of two independent Poisson point processes …
MIRAGE: Mobile-app traffic capture and ground-truth creation
Network traffic analysis, ie, the umbrella of procedures for distilling information from network
traffic, represents the enabler for highly-valuable profiling information, other than being the …
traffic, represents the enabler for highly-valuable profiling information, other than being the …
A study on intrusion detection using neural networks trained with evolutionary algorithms
T Dash - Soft Computing, 2017 - Springer
Intrusion detection has been playing a crucial role for making a computer network secure for
any transaction. An intrusion detection system (IDS) detects various types of malicious …
any transaction. An intrusion detection system (IDS) detects various types of malicious …
Packet-level prediction of mobile-app traffic using multitask deep learning
The prediction of network traffic characteristics helps in understanding this complex
phenomenon and enables a number of practical applications, ranging from network …
phenomenon and enables a number of practical applications, ranging from network …