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2020 – today
- 2024
[j11]Omid Tasbaz, Bahar Farahani, Vahideh Moghtadaiee:
Feature fusion federated learning for privacy-aware indoor localization. Peer Peer Netw. Appl. 17(5): 2781-2795 (2024)- [j10]Amir Fathalizadeh
, Vahideh Moghtadaiee, Mina Alishahi:
Indoor Geo-Indistinguishability: Adopting Differential Privacy for Indoor Location Data Protection. IEEE Trans. Emerg. Top. Comput. 12(1): 293-306 (2024) - [c7]Vahideh Moghtadaiee, Amir Fathalizadeh, Mina Alishahi:
Membership Inference Attacks Against Indoor Location Models. SECRYPT 2024: 584-591 - [i3]Amir Fathalizadeh, Vahideh Moghtadaiee, Mina Alishahi:
Indoor Location Fingerprinting Privacy: A Comprehensive Survey. CoRR abs/2404.07345 (2024) - [i2]Vahideh Moghtadaiee, Mina Alishahi, Milad Rabiei:
Differentially Private GANs for Generating Synthetic Indoor Location Data. CoRR abs/2404.07366 (2024) - 2023
- [c6]Mina Alishahi, Vahideh Moghtadaiee:
Feature Selection on Anonymized Datasets. DASC/PiCom/CBDCom/CyberSciTech 2023: 852-859 - 2022
- [j9]Amir Fathalizadeh, Vahideh Moghtadaiee, Mina Alishahi:
On the privacy protection of indoor location dataset using anonymization. Comput. Secur. 117: 102665 (2022) - [j8]Mina Alishahi, Vahideh Moghtadaiee, Hojjat Navidan:
Add noise to remove noise: Local differential privacy for feature selection. Comput. Secur. 123: 102934 (2022) - [c5]Hojjat Navidan, Vahideh Moghtadaiee, Niki Nazaran, Mina Alishahi:
Hide me Behind the Noise: Local Differential Privacy for Indoor Location Privacy. EuroS&P Workshops 2022: 514-523 - [i1]Hojjat Navidan, Vahideh Moghtadaiee, Niki Nazaran, Mina Alishahi:
Hide me Behind the Noise: Local Differential Privacy for Indoor Location Privacy. CoRR abs/2207.00633 (2022) - 2020
- [j7]Vahideh Moghtadaiee, Nasim Alikhani, Seyed Ali Ghorashi:
Low-cost localisation considering LOS/NLOS impacts in challenging indoor environments. Int. J. Sens. Networks 32(1): 15-24 (2020) - [j6]Amir Mahdi Sazdar, Seyed Ali Ghorashi, Vahideh Moghtadaiee, Ahmad Khonsari, David Windridge:
A Low-complexity trajectory privacy preservation approach for indoor fingerprinting positioning systems. J. Inf. Secur. Appl. 53: 102515 (2020) - [j5]Nasim Alikhani, Vahideh Moghtadaiee, Seyed Ali Ghorashi:
Fingerprinting Based Indoor Localization Considering the Dynamic Nature of Wi-Fi Signals. Wirel. Pers. Commun. 115(2): 1445-1464 (2020)
2010 – 2019
- 2019
- [j4]Vahideh Moghtadaiee, Seyed Ali Ghorashi, Mohammad Ghavami:
New Reconstructed Database for Cost Reduction in Indoor Fingerprinting Localization. IEEE Access 7: 104462-104477 (2019) - [c4]Elaheh Homayounvala, Mohammad Nabati, Reza Shahbazian, Seyed Ali Ghorashi, Vahideh Moghtadaiee:
A novel smartphone application for indoor positioning of users based on machine learning. UbiComp/ISWC Adjunct 2019: 430-437 - 2017
- [c3]Md. Mahbubur Rahman, Vahideh Moghtadaiee, Andrew G. Dempster:
Design of fingerprinting technique for indoor localization using AM radio signals. IPIN 2017: 1-7 - 2015
- [j3]Vahideh Moghtadaiee, Andrew G. Dempster:
Determining the best vector distance measure for use in location fingerprinting. Pervasive Mob. Comput. 23: 59-79 (2015) - 2014
- [j2]Vahideh Moghtadaiee, Andrew G. Dempster:
Design protocol and performance analysis of indoor fingerprinting positioning systems. Phys. Commun. 13: 17-30 (2014) - [j1]Vahideh Moghtadaiee, Andrew G. Dempster:
Indoor Location Fingerprinting Using FM Radio Signals. IEEE Trans. Broadcast. 60(2): 336-346 (2014) - 2012
- [c2]Vahideh Moghtadaiee, Andrew G. Dempster:
WiFi fingerprinting signal strength error modeling for short distances. IPIN 2012: 1-6 - 2011
- [c1]Vahideh Moghtadaiee, Andrew G. Dempster, Samsung Lim:
Indoor localization using FM radio signals: A fingerprinting approach. IPIN 2011: 1-7
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