Predictive deployment of UAV base stations in wireless networks: Machine learning meets contract theory

Q Zhang, W Saad, M Bennis, X Lu… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
In this paper, a novel framework is proposed to enable a predictive deployment of
unmanned aerial vehicles (UAVs) as temporary base stations (BSs) to complement ground …

[PDF][PDF] Network anomaly detection based on wavelet analysis

W Lu, AA Ghorbani - EURASIP Journal on Advances in Signal processing, 2008 - Springer
Signal processing techniques have been applied recently for analyzing and detecting
network anomalies due to their potential to find novel or unknown intrusions. In this paper …

A multi-level intrusion detection method for abnormal network behaviors

SY Ji, BK Jeong, S Choi, DH Jeong - Journal of Network and Computer …, 2016 - Elsevier
Abnormal network traffic analysis has become an increasingly important research topic to
protect computing infrastructures from intruders. Yet, it is challenging to accurately discover …

Fast defense system against attacks in software defined networks

MVO De Assis, MP Novaes, CB Zerbini… - IEEE …, 2018 - ieeexplore.ieee.org
With the ever-growing data traffic in computer networks nowadays, the management of large-
scale networks is a challenge for guaranteeing the quality of the provided services. This is …

Network traffic anomaly detection based on wavelet analysis

Z Du, L Ma, H Li, Q Li, G Sun… - 2018 IEEE 16th …, 2018 - ieeexplore.ieee.org
Network traffic anomaly detection is an important research content in the field of network and
security management. By analyzing network traffic, the health of the network environment …

High-speed non-unit transmission line protection using single-phase measurements and an adaptive wavelet: zone detection and fault classification

FE Perez, R Aguilar, E Orduna, J Jäger, G Guidi - IET generation, transmission …, 2012 - IET
This work describes a transmission line protection scheme with two protection functions:
directional zone and fault classification. The proposed scheme requires no information from …

Adaptive wavelets applied to fault classification on transmission lines

FE Perez, E Orduna, G Guidi - IET generation, transmission & distribution, 2011 - IET
An adaptive wavelet algorithm (AWA) is presented, applied to classifying transitory events
caused by faults in transmission lines. The algorithm generates the wavelets on the basis of …

Advance DDOS detection and mitigation technique for securing cloud

M Zareapoor, P Shamsolmoali… - International Journal of …, 2018 - inderscienceonline.com
Distributed denial of service (DDoS) attacks have become a serious attack on internet
security and cloud computing. This kind of attacks is the most complex form of denial of …

Wavelet against random forest for anomaly mitigation in software-defined networking

CB Zerbini, LF Carvalho, T Abrão, ML Proenca Jr - Applied Soft Computing, 2019 - Elsevier
Security and availability of computer networks remain critical issues even with the constant
evolution of communication technologies. In this core, traffic anomaly detection mechanisms …

Anomaly detection of network traffic based on analytical discrete wavelet transform

M Salagean, I Firoiu - 2010 8th International Conference on …, 2010 - ieeexplore.ieee.org
Signal processing techniques have attracted a lot of attention recently in the networking
security technology, because of their capability of detecting novel intrusions or attacks. In …