mdh.sePublications
Change search
Link to record
Permanent link

Direct link
BETA
Vahabi, Maryam
Publications (7 of 7) Show all publications
Vahabi, M., Fotouhi, H. & Björkman, M. (2019). FIREWORK: Fog orchestration for secure IoT networks. In: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 284: . Paper presented at Second EAI International Conference, SPNCE 2019, Tianjin, China, April 13–14, 2019 (pp. 311-317).
Open this publication in new window or tab >>FIREWORK: Fog orchestration for secure IoT networks
2019 (English)In: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 284, 2019, p. 311-317Conference paper, Published paper (Refereed)
Abstract [en]

Recent advances in Internet of Things (IoT) connectivity have made IoT devices prone to Cyber attacks. Moreover, vendors are eager to provide autonomous and open source device, which in turn adds more security threat to the system. In this paper, we consider network traffic attack, and provide a Fog-assisted solution, dubbed as FIRE- WORK, that reduces risk of security attacks by periodically monitor- ing network traffic, and applying traffic isolation techniques to overcome network congestion and performance degradation.

National Category
Computer Systems
Identifiers
urn:nbn:se:mdh:diva-43932 (URN)10.1007/978-3-030-21373-2_23 (DOI)9783030213732 (ISBN)
Conference
Second EAI International Conference, SPNCE 2019, Tianjin, China, April 13–14, 2019
Projects
ESS-H - Embedded Sensor Systems for Health Research ProfileFuture factories in the CloudMobiFog: mobility management in Fog-assisted IoT networks
Available from: 2019-06-19 Created: 2019-06-19 Last updated: 2019-07-11Bibliographically approved
Gardasevic, G., Fotouhi, H., Tomasic, I., Vahabi, M., Björkman, M. & Lindén, M. (2018). A Heterogeneous IoT-based Architecture for Remote Monitoring of Physiological and Environmental Parameters. In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 225: . Paper presented at 4th EAI International Conference on IoT Technologies for HealthCare HealthyIOT'17, 24 Oct 2017, Angers, France (pp. 48-53).
Open this publication in new window or tab >>A Heterogeneous IoT-based Architecture for Remote Monitoring of Physiological and Environmental Parameters
Show others...
2018 (English)In: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 225, 2018, p. 48-53Conference paper, Published paper (Refereed)
Abstract [en]

A heterogeneous Internet of Things (IoT) architecture for remote health monitoring (RHM) is proposed, that employs Bluetooth and IEEE 802.15.4 wireless connectivity. The RHM system encompasses Shimmer physiological sensors with Bluetooth radio, and OpenMote environmental sensors with IEEE 802.15.4 radio. This system architecture collects measurements in a relational database in a local server to implement a Fog node for fast data analysis as well as in a remote server in the Cloud. 

National Category
Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-37078 (URN)10.1007/978-3-319-76213-5_7 (DOI)000476922000007 ()2-s2.0-85042550307 (Scopus ID)9783319762128 (ISBN)
Conference
4th EAI International Conference on IoT Technologies for HealthCare HealthyIOT'17, 24 Oct 2017, Angers, France
Projects
ESS-H - Embedded Sensor Systems for Health Research ProfileREADY - Research Environment for Advancing Low Latency Internetecare@homeFuture factories in the Cloud
Available from: 2017-10-31 Created: 2017-10-31 Last updated: 2019-08-08Bibliographically approved
Vahabi, M., Faragardi, H. R. & Fotouhi, H. (2018). An analytical model for deploying mobile sinks in industrial Internet of Things. In: 2018 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2018: . Paper presented at 2018 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2018, 15 April 2018 through 18 April 2018 (pp. 155-160). Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>An analytical model for deploying mobile sinks in industrial Internet of Things
2018 (English)In: 2018 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2018, Institute of Electrical and Electronics Engineers Inc. , 2018, p. 155-160Conference paper, Published paper (Refereed)
Abstract [en]

Nowadays, the Industrial Internet of Things (IIoT) has the potential to be implemented in factories and supply chains to improve manufacturing efficiency. It is becoming more common to use mobile robots in such factories for further improvements. Adding data collection capability to the mobile robots would realize the mobile sink deployment in future factories. As it is important to reduce the deployment cost, we are aiming at a network with minimum number of mobile sinks while ensuring network reliability and timeliness. In this paper, we analytically model a given trajectory for the motion of mobile sinks and the routing of mobile sinks along the trajectory in an IIoT system. We introduce an optimization problem in the form of Integer Linear Programming (ILP) to specify the minimum number of required mobile sinks to reduce deployment cost of an IIoT system, and also to identify the routing of multiple mobile sinks along a given trajectory. The proposed ILP model can be solved by several existing off-the-shelf ILP-solvers. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2018
National Category
Computer Systems
Identifiers
urn:nbn:se:mdh:diva-40195 (URN)10.1109/WCNCW.2018.8368986 (DOI)000442393300028 ()2-s2.0-85048868774 (Scopus ID)9781538611548 (ISBN)
Conference
2018 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2018, 15 April 2018 through 18 April 2018
Available from: 2018-07-05 Created: 2018-07-05 Last updated: 2018-09-06Bibliographically approved
Faragardi, H. R., Vahabi, M., Fotouhi, H., Nolte, T. & Fahringer, T. (2018). An efficient placement of sinks and SDN controller nodes for optimizing the design cost of industrial IoT systems. Software, practice & experience, 48(10), 1893-1919
Open this publication in new window or tab >>An efficient placement of sinks and SDN controller nodes for optimizing the design cost of industrial IoT systems
Show others...
2018 (English)In: Software, practice & experience, ISSN 0038-0644, E-ISSN 1097-024X, Vol. 48, no 10, p. 1893-1919Article in journal (Refereed) Published
Abstract [en]

Recently, a growing trend has emerged toward using Internet of Things (IoT) in the context of industrial systems, which is referred to as industrial IoT. To deal with the time-critical requirements of industrial applications, it is necessary to consider reliability and timeliness during the design of an industrial IoT system. Through the separation of the control plane and the data plane, software-defined networking provides control units (controllers) coexisting with sink nodes, efficiently coping with network dynamics during run-time. It is of paramount importance to select a proper number of these devices (i.e., software-defined networking controllers and sink nodes) and locate them wisely in a network to reduce deployment cost. In this paper, we optimize the type and location of sinks and controllers in the network, subject to reliability and timeliness as the prominent performance requirements in time-critical IoT systems through ensuring that each sensor node is covered by a certain number of sinks and controllers. We propose PACSA-MSCP, an algorithm hybridizing a parallel version of the max-min ant system with simulated annealing for multiple-sink/controller placement. We evaluate the proposed algorithm through extensive experiments. The performance is compared against several well-known methods, and it is shown that our approach outperforms those methods by lowering the total deployment cost by up to 19%. Moreover, the deviation from the optimal solution achieved by CPLEX is shown to be less than 2.7%.

Place, publisher, year, edition, pages
John Wiley and Sons Ltd, 2018
National Category
Computer Systems
Identifiers
urn:nbn:se:mdh:diva-40919 (URN)10.1002/spe.2593 (DOI)000443587100009 ()2-s2.0-85052673487 (Scopus ID)
Available from: 2018-09-13 Created: 2018-09-13 Last updated: 2018-09-13Bibliographically approved
Fotouhi, H., Vahabi, M., Tomasic, I., Petrovic, N., Björkman, M. & Lindén, M. (2018). IPv6 connectivity in eHealth IoT networks. In: Medicinteknikdagarna 2018 MTD 2018: . Paper presented at Medicinteknikdagarna 2018 MTD 2018, 08 Oct 2018, Umeå, Sweden. Umeå, Sweden
Open this publication in new window or tab >>IPv6 connectivity in eHealth IoT networks
Show others...
2018 (English)In: Medicinteknikdagarna 2018 MTD 2018, Umeå, Sweden, 2018Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Umeå, Sweden: , 2018
National Category
Engineering and Technology Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-41738 (URN)
Conference
Medicinteknikdagarna 2018 MTD 2018, 08 Oct 2018, Umeå, Sweden
Projects
ESS-H - Embedded Sensor Systems for Health Research Profile
Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2018-12-18Bibliographically approved
Causevic, A., Vahabi, M. & Fotouhi, H. (2017). Enabling Safe, Secure and Reliable Data Communication in IoT AAL Healthcare Applications. In: Medicinteknikdagarna 2017 MTD 2017: . Paper presented at Medicinteknikdagarna 2017 MTD 2017, 09 Oct 2017, Västerås, Sweden.
Open this publication in new window or tab >>Enabling Safe, Secure and Reliable Data Communication in IoT AAL Healthcare Applications
2017 (English)In: Medicinteknikdagarna 2017 MTD 2017, 2017Conference paper, Published paper (Refereed)
National Category
Computer Systems
Identifiers
urn:nbn:se:mdh:diva-37040 (URN)
Conference
Medicinteknikdagarna 2017 MTD 2017, 09 Oct 2017, Västerås, Sweden
Projects
ESS-H - Embedded Sensor Systems for Health Research Profileecare@home
Available from: 2017-11-20 Created: 2017-11-20 Last updated: 2017-11-20Bibliographically approved
Vahabi, M. (2017). Heterogeneous network for health monitoring applications. In: Medicinteknikdagarna 2017 MTD 2017: . Paper presented at Medicinteknikdagarna 2017 MTD 2017, 09 Oct 2017, Västerås, Sweden.
Open this publication in new window or tab >>Heterogeneous network for health monitoring applications
2017 (English)In: Medicinteknikdagarna 2017 MTD 2017, 2017Conference paper, Published paper (Refereed)
National Category
Computer Systems Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-37077 (URN)
Conference
Medicinteknikdagarna 2017 MTD 2017, 09 Oct 2017, Västerås, Sweden
Projects
ESS-H - Embedded Sensor Systems for Health Research ProfileREADY - Research Environment for Advancing Low Latency InternetFuture factories in the Cloud
Available from: 2017-10-31 Created: 2017-10-31 Last updated: 2017-10-31Bibliographically approved
Organisations

Search in DiVA

Show all publications