DATA EXCHANGE PROTOCOL FOR DISASTER DATA MANAGEMENT, SAFE AND SECURE CITY
A structured and systematic disaster mitigation system is needed to be a solution for the occurrence of disasters in Indonesia. Utilization of various disaster data sourced from the Internet of Things (IoT) and social media in the development of the Disaster Management System (DMS) utilizing Big...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/54101 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | A structured and systematic disaster mitigation system is needed to be a solution
for the occurrence of disasters in Indonesia. Utilization of various disaster data
sourced from the Internet of Things (IoT) and social media in the development of
the Disaster Management System (DMS) utilizing Big Data Analytics (BDA) has
been carried out. However, the use of IoT encounters problems with large resource
requirements and social media is often found problems related to hoaxes and the
relevance of information provided. The application of active crowdsourced data
collection can be done by utilizing active participation and community mobility in
the event of disasters that occur around it, creating a new paradigm of Mobile
Crowdsourcing (MCS). MCS provides an alternative disaster data source solution
by utilizing various sensors embedded in the user's smartphone that will provide
reports related to disasters in an area.
However, constraints are found when dealing with user privacy and data security
issues provided through the MCS method, because the Volunteered Geographical
Information (VGI) dataset generated contains location information and personal
information that is sensitive to the user. In addition to privacy and security issues,
other obstacles such as the ability of humans to use applications on smartphones
and use of data plans to transmit data also need to be a consideration to attract
public attention to actively participate in disaster reporting using their
smartphones. This study proposes Session Time Diffie-Hellman (STDH) as a
privacy-friendly data exchange protocol for implementing MCS-based disaster
data collection. The data exchange protocol is used to ensure security of data
provided by the community which will be a useful source of data in predicting the
possibility of a disaster occurring in an area that can be useful information for the
government to reduce the impact of disasters that will occur to create a safe and
secure city.
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