Dynamic Multi-Keyword Ranked Search Based on Bloom Filter Over Encrypted Cloud Data

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Dynamic Multi-Keyword Ranked Search Based on Bloom
Filter Over Encrypted Cloud Data
ABSTRACT:
Cloud computing has become a popular approach to manage personal data for the
economic savings and management flexibility in recent year. However, the
sensitive data must be encrypted before outsourcing to cloud servers for the
consideration of privacy, which makes some traditional data utilization functions,
such as the plaintext keyword search, impossible. To solve this problem, we
present a multi-keyword ranked search scheme over encrypted cloud data
supporting dynamic operations efficiently. Our scheme utilizes the vector space
model combined with TFX IDF rule and cosine similarity measure to achieve a
multi-keyword ranked search. However, traditional solutions have to suffer high
computational costs. In order to achieve the sub-linear search time, our scheme
introduces Bloom filter to build a search index tree. What is more, our scheme can
support dynamic operation properly and effectively on the account of the property
of the Bloom filter, which means that the updating cost of our scheme is lower than
other schemes. We present our basic scheme first, which is secure under the known
ciphertext model. Then, the enhanced scheme is presented later to guarantee
security even under the known background model. The experiments on the real-
world data set show that the performances of our proposed schemes are
satisfactory.
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:

 System : Pentium Dual Core.
 Hard Disk : 120 GB.
 Monitor : 15’’ LED
 Input Devices : Keyboard, Mouse
 Ram : 1 GB
SOFTWARE REQUIREMENTS:
 Operating system : Windows 7.
 Coding Language : JAVA.
 Tool : Netbeans 7.2.1
 Database : MYSQL
REFERENCE:
CHENG GUO 1,2, RUHAN ZHUANG 1,2, CHIN-CHEN CHANG 3, AND
QIONGQIONG YUAN, “Dynamic Multi-Keyword Ranked Search Based on
Bloom Filter Over Encrypted Cloud Data”, IEEE Access, 2019.

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This Dissertation explores the particular circumstances of Mirzapur, a region located in the core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal environment for investigating the changes in vegetation cover dynamics. Our study utilizes advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to analyze the transformations that have taken place over the course of a decade. The complex relationship between human activities and the environment has been the focus of extensive research and worry. As the global community grapples with swift urbanization, population expansion, and economic progress, the effects on natural ecosystems are becoming more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for these activities. As the most crucial natural resource, its utilization by humans results in different 'Land uses,' which are determined by both human activities and the physical characteristics of the land. The utilization of land is impacted by human needs and environmental factors. In countries like India, rapid population growth and the emphasis on extensive resource exploitation can lead to significant land degradation, adversely affecting the region's land cover. Therefore, human intervention has significantly influenced land use patterns over many centuries, evolving its structure over time and space. In the present era, these changes have accelerated due to factors such as agriculture and urbanization. Information regarding land use and cover is essential for various planning and management tasks related to the Earth's surface, providing crucial environmental data for scientific, resource management, policy purposes, and diverse human activities. Accurate understanding of land use and cover is imperative for the development planning of any area. Consequently, a wide range of professionals, including earth system scientists, land and water managers, and urban planners, are interested in obtaining data on land use and cover changes, conversion trends, and other related patterns. The spatial dimensions of land use and cover support policymakers and scientists in making well-informed decisions, as alterations in these patterns indicate shifts in economic and social conditions. Monitoring such changes with the help of Advanced technologies like Remote Sensing and Geographic Information Systems is crucial for coordinated efforts across different administrative levels. Advanced technologies like Remote Sensing and Geographic Information Systems 9 Changes in vegetation cover refer to variations in the distribution, composition, and overall structure of plant communities across different temporal and spatial scales. These changes can occur natural.

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Dynamic Multi-Keyword Ranked Search Based on Bloom Filter Over Encrypted Cloud Data

1. Dynamic Multi-Keyword Ranked Search Based on Bloom Filter Over Encrypted Cloud Data ABSTRACT: Cloud computing has become a popular approach to manage personal data for the economic savings and management flexibility in recent year. However, the sensitive data must be encrypted before outsourcing to cloud servers for the consideration of privacy, which makes some traditional data utilization functions, such as the plaintext keyword search, impossible. To solve this problem, we present a multi-keyword ranked search scheme over encrypted cloud data supporting dynamic operations efficiently. Our scheme utilizes the vector space model combined with TFX IDF rule and cosine similarity measure to achieve a multi-keyword ranked search. However, traditional solutions have to suffer high computational costs. In order to achieve the sub-linear search time, our scheme introduces Bloom filter to build a search index tree. What is more, our scheme can support dynamic operation properly and effectively on the account of the property of the Bloom filter, which means that the updating cost of our scheme is lower than other schemes. We present our basic scheme first, which is secure under the known ciphertext model. Then, the enhanced scheme is presented later to guarantee security even under the known background model. The experiments on the real- world data set show that the performances of our proposed schemes are satisfactory. SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS:

2.  System : Pentium Dual Core.  Hard Disk : 120 GB.  Monitor : 15’’ LED  Input Devices : Keyboard, Mouse  Ram : 1 GB SOFTWARE REQUIREMENTS:  Operating system : Windows 7.  Coding Language : JAVA.  Tool : Netbeans 7.2.1  Database : MYSQL REFERENCE: CHENG GUO 1,2, RUHAN ZHUANG 1,2, CHIN-CHEN CHANG 3, AND QIONGQIONG YUAN, “Dynamic Multi-Keyword Ranked Search Based on Bloom Filter Over Encrypted Cloud Data”, IEEE Access, 2019.

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