Areas of responsibility
Higher Education
P.hD. in ICT
M.Sc in ICT
- University of Agder : 2011 - 2013
- Master's Thesis : Secure Multi-party based Cloud Computing Framework for Statistical Data Analysis of Encrypted Data [Grade: A] Spring 2013.
- Supervisor: Prof. Vladimir A. Oleshchuk
B.Sc (Engineering)
- University of Ruhuna, Sri Lanka: 2006 - 2010
- Specialization: Electrical & Information Engineering
Current Research Interests
- Security, Privacy and Trust in E-health systems
- Privacy Preserving Access Control
- Attribute Based Encryption
- Bio-cryptography
Publications:
- H.S.G. Pussewalage and VA Oleshchuk, "An Anonymous Delegatable Attribute-based Credential Scheme for a Collaborative E-health Environment," ACM Transactions on Internet Technology (TOIT), 19(3) (2019). DOI: 10.1145/3338854
- H.S.G. Pussewalage and VA Oleshchuk, "Attribute Based Access Control Scheme with Controlled Access Delegation for Collaborative E-health Environments," Journal of Information Security and Applications, 37C (2017) pp. 50-64. DOI: 10.1016/j.jisa.2017.10.004.
- H.S.G. Pussewalage and V.A. Oleshchuk, "Privacy Preserving Mechanisms for enforcing Security and Privacy Requirements in E-health Solutions," International Journal of Information Management, 36(6) (2016) pp. 1161-1173. DOI: 10.1016/j.ijinfomgt.2016.07.006.
- H.S.G. Pussewalage and V.A. Oleshchuk, "Blockchain Based Delegatable Access Control Scheme for a Collaborative E-health Environment," in Proceedings of the 2018 IEEE International Conference on Blockchain (IEEE Blockchain), Halifax, Canada, Aug. 2018. Accepted. (AR:15.3%)
- H.S.G. Pussewalage and V.A. Oleshchuk, "An Efficient Multi-Show Unlinkable Attribute Based Credential Scheme for a Collaborative E-health Environment," in Proceedings of the 3rd IEEE International Conference on Collaboration & Internet Computing (IEEE CIC), San Jose, USA, Oct. 2017. DOI: 10.1109/CIC.2017.00060. (AR:28%)
- H.S.G. Pussewalage and V.A. Oleshchuk, "A Distributed Attribute Based Encryption Scheme for Secure Sharing of Personal Health Records," in Proceedings of the 22nd ACM Symposium on Access Control Models and Technologies (ACM SACMAT),'Indianapolis, USA, Jun. 2017. DOI: 10.1145/3078861.3078880. (AR:28%)
- H.S.G. Pussewalage and V.A. Oleshchuk, "A Patient-Centric Attribute Based Access Control Scheme for Secure Sharing of Personal Health Records Using Cloud Computing," in Proceedings of the 2nd IEEE International Conference on Collaboration & Internet Computing (IEEE CIC), Pittsburgh, USA, Nov. 2016. DOI: 10.1109/CIC.2016.020. (AR:28%)
- H.S.G. Pussewalage and V.A. Oleshchuk, "An Attribute-Based Access Control Scheme for Secure Sharing of Electronic Health Records," in Proceedings of the 2016 18th International Conference on E-health Networking, Application & Services (IEEE HEALTHCOM),'' Munich, Germany, Sep. 2016. DOI: 10.1109/HealthCom.2016.7749516.
- H.S.G. Pussewalage, P.S. Ranaweera, V.A. Oleshchuk and I.A.M. Balapuwaduge "Secure Multi-party based Cloud Computing Framework for Statistical Data Analysis of Encrypted Data," in Proceedings of the 2016 19th International Conference on Innovations in Clouds, Internet and Networks (ICIN), Paris, France, Mar. 2016. ISBN: 978-3-901882-81-4. (AR: 24.3 %)
- H.S.G. Pussewalage , J. Hu and J. Pieprzyk, "A Survey: Error control methods used in bio-cryptography," in Proceedings of the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) , Xiamen, China, Aug. 2014. DOI: 10.1109 / FSKD.2014.6980968
- H.S.G. Pussewalage, P.S. Ranaweera and V.A. Oleshchuk, "PLC security and critical infrastructure protection," in Proceedings of the 2013 IEEE 8th International Conference on Industrial and Information Systems (ICIIS) , Peradeniya, Sri Lanka, Dec. 2013. DOI: 10.1109 / ICIInfS.2013.6731959
- S.N. Ranasinghe, H.S.G. Pussewalage and P.H. Middleton, "Performance Analysis of Single Cell Solid Oxide Fuel Cells" in Proceedings of the 3rd International Multidisciplinary Enginnering Research Conference (MERCon'17), Colombo, Sri Lanka, May 2017. DOI: 10.1109/MERCon.2017.7980515
Publications
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Ghose, Debasish; Gardiyawasam Pussewalage, Harsha; Balapuwaduge, Indika A.M. & Dash, Soumya P.
(2024).
Secure and Lightweight Communication Protocol for Wake-up Radio Enabled Internet of Things.
In Tran, Kim-Phuc; Li, Shujun; Heuchenne, Cédric & Thu-Huong, Truong (Ed.),
The 7th International Conference on Safety and Security with IoT.
Springer.
ISSN 978-3-031-53028-9.
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Sajid Ullah, Syed; Oleshchuk, Vladimir & Gardiyawasam Pussewalage, Harsha
(2023).
A Lightweight Access Control Scheme with Attribute Policy for Blockchain-Enabled Internet of Things.
In De Capitani di Vimercati, Sabrina & Samarati, Pierangela (Ed.),
Proceedings of the 20th International Conference on Security and Cryptography.
SciTePress.
ISSN 978-989-758-666-8.
p. 528–539.
doi:
10.5220/0012138900003555.
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Sajid Ullah, Syed; Oleshchuk, Vladimir & Gardiyawasam Pussewalage, Harsha
(2023).
A survey on blockchain envisioned attribute based access control for internet of things: Overview, comparative analysis, and open research challenges.
Computer Networks.
ISSN 1389-1286.
235,
p. 1–16.
doi:
10.1016/j.comnet.2023.109994.
Full text in Research Archive
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Bhardwaj, Jyotirmoy; Harman, Christopher Peter; Gardiyawasam Pussewalage, Harsha & Cenkeramaddi, Linga Reddy
(2023).
Real-Time Missing Data Estimation in Water Networks,
2023 IEEE Applied Sensing Conference (APSCON).
IEEE conference proceedings.
ISSN 978-1-6654-6163-4.
doi:
10.1109/APSCON56343.2023.10101123.
Show summary
Estimating missing data (e.g., pressure) in geographically distributed nodes is one of the fundamental challenges in a water distribution network (WDN). The Model-Based Kalman Filter is a simple solution that can estimate missing data in systems with a linear Gaussian state model. However, in large WDN, the state model is non-linear, and accurate system dynamics are unknown. Thus, we investigate the use of Data-Driven Kalman Filter (DDKF), in which the Recurrent Neural Network (RNN) updates the Kalman Gain. This data-driven approach has the potential to reduce approximation errors caused by the state model’s nonlinearity. As a result, this work demonstrates the application of a DDKF in a WDN. In addition, we demonstrate numerically that the DDKF can overcome approximation errors caused by flow equations and can estimate missing data in a WDN.
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Gardiyawasam Pussewalage, Harsha & Oleshchuk, Vladimir
(2019).
An Anonymous Delegatable Attribute-based Credential Scheme for a Collaborative E-health Environment.
ACM Transactions on Internet Technology.
ISSN 1533-5399.
19(3).
doi:
10.1145/3338854.
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Gardiyawasam Pussewalage, Harsha & Oleshchuk, Vladimir
(2018).
Blockchain Based Delegatable Access Control Scheme for a Collaborative E-health Environment,
2018 IEEE Confs on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, Congress on Cybermatics.
IEEE conference proceedings.
ISSN 978-1-5386-7975-3.
p. 1204–1211.
doi:
10.1109/Cybermatics_2018.2018.00214.
Show summary
Abstract—Modern electronic healthcare (e-health) settings constitute collaborative environments requiring sophisticated finegrained access control mechanisms to cater their access demands.
Access delegatability is quite crucial to realize fine-grained, flexible access control schemes compatible with such environments.
In this paper, we addressed this issue through proposing an
attribute based access control scheme integrated with controlled
access delegation capabilities suitable for a multi-domain e-health
environment. We have utilized the blockchain technology to
manage attribute assignments, delegations as well as revocations.
The scheme enables delegations in a controlled manner without
jeopardizing the security of the system. The control is achieved
via granting each delegating user the capability of controlling
the subsequent delegations made by the delegatee as well as
limiting the length of a chain of delegations. Furthermore, it
is equipped with a superior attribute revocation mechanism and
induces substantially lower key management overhead to the endusers in comparison to the existing access control schemes with
delegatability
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Ranasinghe, Sasanka Niromi; Gardiyawasam Pussewalage, Harsha & Middleton, Peter Hugh
(2017).
Performance analysis of single cell solid oxide fuel cells,
2017 Moratuwa Engineering Research Conference (MERCon).
IEEE conference proceedings.
ISSN 978-1-5090-6491-5.
doi:
10.1109/MERCon.2017.7980515.
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Gardiyawasam Pussewalage, Harsha & Oleshchuk, Vladimir
(2017).
A Distributed Multi-Authority Attribute Based Encryption Scheme for Secure Sharing of Personal Health Records.
In NN, N (Eds.),
Proceedings of the 22nd ACM Symposium on Access Control Models and Technologies (ACM SACMAT).
Association for Computing Machinery (ACM).
ISSN 978-1-4503-4702-0.
p. 255–262.
doi:
10.1145/3078861.3078880.
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Gardiyawasam Pussewalage, Harsha & Oleshchuk, Vladimir
(2017).
An Efficient Multi-Show Unlinkable Attribute Based Credential Scheme for a Collaborative E-Health Environment.
In NN, N (Eds.),
2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC).
IEEE (Institute of Electrical and Electronics Engineers).
ISSN 978-1-5386-2565-1.
p. 421–428.
doi:
10.1109/CIC.2017.00060.
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Gardiyawasam Pussewalage, Harsha & Oleshchuk, Vladimir
(2016).
A Patient-Centric Attribute Based Access Control Scheme for Secure Sharing of Personal Health Records Using Cloud Computing.
In Bilof, Randall (Eds.),
2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC).
IEEE (Institute of Electrical and Electronics Engineers).
ISSN 978-1-5090-4607-2.
p. 46–53.
doi:
10.1109/CIC.2016.020.
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Gardiyawasam Pussewalage, Harsha & Oleshchuk, Vladimir
(2016).
An attribute based access control scheme for secure sharing of electronic health records,
2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom),.
IEEE conference proceedings.
ISSN 978-1-5090-3370-6.
doi:
10.1109/HealthCom.2016.7749516.
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Gardiyawasam Pussewalage, Harsha; Ranaweera, Pasika; Oleshchuk, Vladimir & Balapuwaduge, Indika A.M.
(2016).
Secure Multi-party based Cloud Computing Framework for Statistical Data Analysis of Encrypted Data.
In NN, N (Eds.),
19th International Conference on Innovations in Clouds, Internet and Networks.
IFIP International Federation for Information Processing.
ISSN 978-3-901882-81-4.
p. 22–28.
Show summary
Secure multi-party computation (SMC) is a paradigm used to accomplish a common computation among multiple users while keeping the data of each party secret from others. Cloud computing is a next generation computing solution which allows its users to use high speed infrastructure and services provided by cloud service providers (CSP) in a
cost effective manner. Therefore, deployment of cloud based architecture for SMCs would aid in improving its performance and efficiency. However, cloud based solutions raises concerns over security of users’ private data, since data is under the control of an external entity when outsourced to cloud platforms. In this paper we have proposed a Secure Multi-party based Cloud Computing Framework which can ensure security, privacy and anonymity of users’ private data. This framework is modeled by considering a scenario which requires outsourcing
statistical parameter computation of private sales data of an organization’s sales personnel. The results that we have obtained, provides significant evidence of feasibility of multi-party based cloud computing solutions.
View all works in Cristin
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Bhardwaj, Jyotirmoy; Harman, Christopher Peter; Gardiyawasam Pussewalage, Harsha & Cenkeramaddi, Linga Reddy
(2023).
Real-Time Missing Data Estimation in Water Networks.
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View all works in Cristin
Published
Apr. 16, 2024 11:04 AM