Bogdan-Cosmin Chifor

Bogdan-Cosmin Chifor


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 September 2019 in Sensors
Verified
Journal Article
Open access
PDF file
IBIon Bica
Ion Bica
BCBogdan-Cosmin Chifor
Bogdan-Cosmin Chifor
ȘAȘtefan-Ciprian Arseni
Ștefan-Ciprian Arseni
IMIoana Matei
Ioana Matei
Ambient intelligence is a new paradigm in the Internet of Things (IoT) world that brings smartness to living environments to make them more sensitive; adaptive; and personalized to human needs. A critical area where ambient intelligence can be used is health and social care; where it can improve and sustain the quality of life without increasing financial costs. The adoption of this new paradigm for health and social care largely depends on the technology deployed (sensors and wireless networks), the software used for decision-making and the security, privacy and reliability of the information. IoT sensors and wearables collect sensitive data and must respond in a near real-time manner to input changes. An IoT security framework is meant to offer the versatility and modularization needed to sustain such applications. Our framework was designed to easily integrate with different health and social care applications, separating security tasks from functional ones and being designed with independent modules for each layer (Cloud, gateway and IoT device), that offer functionalities relative to that layer.

31 July 2021 in Electronics
Verified
Journal Article
Open access
PDF file
ȘAȘtefan-Ciprian Arseni
Ștefan-Ciprian Arseni
BCBogdan-Cosmin Chifor
Bogdan-Cosmin Chifor
MCMihai Coca
Mihai Coca
Mirabela Melinda MedveiMirabela Melinda Medvei
Mirabela Melinda Medvei
IBIon Bica
Ion Bica
IMIoana Matei
Ioana Matei
The fast-paced adoption of smart devices has changed the Internet of Things (IoT) landscape, leading to the growth of smart environments and inclusion in many aspects of our society. In IoT applications, data collected from sensors and mobile devices are aggregated, processed, and analyzed to extract useful information and develop intelligent services. If the collected data is not trustworthy due to the damage or malicious input of some sensors, the quality of the service will be impacted. For reliable data collection and mining, it is mandatory to define robust security and trust models, suitable for the IoT application context. In this paper, we propose RESFIT, a platform that implements a reputation-based trust mechanism and an advanced application level firewall to cope with the above mentioned issues. Having a gateway-centric architecture, the proposed platform ensures minimal resource consumption at the node layer, and an integrated overview and control of the system state, through the cloud component and smartphone management application.

28 February 2020
Verified
Book Chapter
Closed access
PDF file
IBIon Bica
Ion Bica
BCBogdan-Cosmin Chifor
Bogdan-Cosmin Chifor
ȘAȘtefan-Ciprian Arseni
Ștefan-Ciprian Arseni
IMIoana Matei
Ioana Matei