Detection and multi-class classification of intrusion in software defined networks using stacked auto-encoders and CICIDS2017 dataset
Abstract Software Defined Networks (SDNs) is an emerging concept in network
architectures, which divides the network operations into two, control and data, layers. In this …
architectures, which divides the network operations into two, control and data, layers. In this …
Resilient participant selection under vulnerability induced colluding attacks for crowdsourcing
This paper investigates the problem of participant selection considering colluding attacks for
crowdsourcing. Compared with existing work, a practical vulnerability-induced colluding …
crowdsourcing. Compared with existing work, a practical vulnerability-induced colluding …
An enhanced detection system against routing attacks in mobile ad-hoc network
Mobile ad-hoc network is a dynamic wireless network that transfers information through
neighbor nodes with a temporary configuration. Due to its dynamic nature, it is exposed to …
neighbor nodes with a temporary configuration. Due to its dynamic nature, it is exposed to …
An intelligent security mechanism in mobile Ad-Hoc networks using precision probability genetic algorithms (PPGA) and deep learning technique (Stacked LSTM)
M Deivakani, MS Sheela, K Priyadarsini… - … : Informatics and Systems, 2024 - Elsevier
Abstract The Mobile Ad-hoc Networks (MANETs) have gained a significant attention in the
recent years due to their proliferation and huge application purposes. To defend from many …
recent years due to their proliferation and huge application purposes. To defend from many …
Optimization of intrusion detection systems determined by ameliorated HNADAM-SGD algorithm
Information security is of pivotal concern for consistently streaming information over the
widespread internetwork. The bottleneck flow of incoming and outgoing data traffic …
widespread internetwork. The bottleneck flow of incoming and outgoing data traffic …
An Intrusion Detection Mechanism for MANETs Based on Deep Learning Artificial Neural Networks (ANNs)
Mobile Ad-hoc Network (MANET) is a distributed, decentralized network of wireless portable
nodes connecting directly without any fixed communication base station or centralized …
nodes connecting directly without any fixed communication base station or centralized …
A hybrid secure and energy efficient cluster based intrusion detection system for wireless sensing environment
B Bhushan, G Sahoo - 2019 2nd international conference on …, 2019 - ieeexplore.ieee.org
Rapidly expanding application areas of wireless sensor networks (WSNs) that includes
critical civilian and military applications intensifies the security concerns especially in hostile …
critical civilian and military applications intensifies the security concerns especially in hostile …
Group rekeying based on member join history
This paper presents GREP, a novel group rekeying scheme that leverages the history of join
events in order to achieve efficiency and high scalability. GREP rekeys the group with only …
events in order to achieve efficiency and high scalability. GREP rekeys the group with only …
[HTML][HTML] IJCNC 01
MT Sultan, H El Sayed, MA Khan - ijcnc.com
ABSTRACT Mobile Ad-hoc Network (MANET) is a distributed, decentralized network of
wireless portable nodes connecting directly without any fixed communication base station or …
wireless portable nodes connecting directly without any fixed communication base station or …
Integrated Intrusion Detection System (IDS) for Security Enhancement in Wireless Sensor Networks
MR Sharma, VK Agarwal, N Kumar… - Deep Learning Strategies …, 2020 - igi-global.com
Rapidly expanding application areas of wireless sensor networks (WSNs) that include
critical civilian and military applications intensify the security concerns especially in hostile …
critical civilian and military applications intensify the security concerns especially in hostile …