Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/19330
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mustafa, Iqra | - |
dc.contributor.author | Aslam, Sheraz | - |
dc.contributor.author | Qureshi, Muhammad Bilal | - |
dc.contributor.author | Ashraf, Nouman | - |
dc.contributor.author | Aslam, Shahzad | - |
dc.contributor.author | Mohsin, Syed Muhammad | - |
dc.contributor.author | Mustafa, Hasnain | - |
dc.date.accessioned | 2020-11-05T11:59:33Z | - |
dc.date.available | 2020-11-05T11:59:33Z | - |
dc.date.issued | 2020-07-27 | - |
dc.identifier.citation | 16th IEEE International Wireless Communications and Mobile Computing Conference, 15-19 June 2020, Limassol, Cyprus | en_US |
dc.identifier.isbn | 978-1-7281-3129-0 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/19330 | - |
dc.description.abstract | Wireless Sensor Networks (WSNs) provide noteworthy advantages over conventional methods for various real-time applications, i.e., healthcare, temperature sensing, smart homes, homeland security, and environmental monitoring. However, limited resources, short life-time network constraints, and security vulnerabilities are the challenging issues in the era of WSNs. Besides, WSNs performance is susceptible to network anomalies, particularly to misdirection attacks. The above-mentioned issues pose our attentions to produce a security-aware application. In this work, therefore, we present a Reinforcement Learning (RL) algorithm for Misdirection Attack Detection and Prevention (RL-MADP) in WSNs. In our proposed approach, other than the flat architecture configuration for WSN, Markov Decision Process (MDP) from RL is considered. Where, each sensor node is fully aware of its environment. It is an online method and incurs minimal computation cost, and performs load-balancing with higher residual energy to prolong the network lifetime. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.rights | © IEEE. | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Markov Decision Process | en_US |
dc.subject | Misdirection Attack | en_US |
dc.subject | Policy Iteration | en_US |
dc.subject | Reinforcement Learning | en_US |
dc.subject | Wireless Sensor Network | en_US |
dc.subject | WSN Security | en_US |
dc.title | RL-MADP: Reinforcement Learning-based Misdirection Attack Prevention Technique for WSN | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | Cork Institute of Technology | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.collaboration | Shaheed Zulfikar Ali Bhutto Institute of Science and Technology | en_US |
dc.collaboration | Waterford Institute of Technology | en_US |
dc.collaboration | Institute of Southern Punjab | en_US |
dc.collaboration | COMSATS University Islamabad | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.country | Ireland | en_US |
dc.country | Cyprus | en_US |
dc.country | Pakistan | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.relation.conference | IEEE International Wireless Communications and Mobile Computing Conference | en_US |
dc.identifier.doi | 10.1109/IWCMC48107.2020.9148445 | en_US |
cut.common.academicyear | 2019-2020 | en_US |
item.openairetype | conferenceObject | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.grantfulltext | none | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0003-4305-0908 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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