This document proposes a phrase search technique for encrypted cloud storage using bloom filters that is faster than existing techniques with better storage and communication costs. The technique uses n-gram filters and conjunctive keyword searching to support functionality. It describes a system framework where the data owner encrypts and uploads documents with attached bloom filters to the cloud. Data users can search for keywords and request files, with the data owner approving or rejecting requests. The technique aims to improve search performance over encrypted documents stored in the cloud while maintaining security and privacy.
Dynamic Resource Allocation and Data Security for CloudAM Publications
Cloud computing is the next generation of IT organization. Cloud computing moves the software and
databases to the large centres where the management of services and data may not be fully trusted. In this system, we
focus on cloud data storage security, which has been an important aspect of quality of services. To ensure the
correctness of user’s data in the cloud, we propose an effective scheme with Advanced Encryption Standard and MD5
algorithm. Extensive security and performance analysis shows that the proposed scheme is highly efficient. In
proposed work we have developed efficient parallel data processing in clouds and present our research project for
parallel security. Parallel security is the data processing framework to explicitly exploit the dynamic storage along with
data security. We have proposed a strong, formal model for data security on cloud and corruption detection.
E FFICIENT D ATA R ETRIEVAL F ROM C LOUD S TORAGE U SING D ATA M ININ...IJCI JOURNAL
Cloud computing is an emanating technology allowing
users to perform data processing, use as storage
and data admission services from around the world t
hrough internet. The Cloud service providers charge
depending on the user’s usage. Imposing confidentia
lity and scalability on cloud data increases the
complexity of cloud computing. As sensitive informa
tion is centralized into the cloud, this informatio
n must
be encrypted and uploaded to cloud for the data pri
vacy and efficient data utilization. As the data be
comes
complex and number of users are increasing searchin
g of the files must be allowed through multiple
keyword of the end users interest. The traditional
searchable encryption schemes allows users to searc
h in
the encrypted cloud data through keywords, which su
pport only Boolean search, i.e., whether a keyword
exists in a file or not, without any relevance of d
ata files and the queried keyword. Searching of dat
a in the
cloud using Single keyword ranked search results to
o coarse output and the data privacy is opposed usi
ng
server side ranking based on order-preserving encry
ption (OPE)
Cloud computing motivates organization and enterprise to outsource their data to third party cloud service provider. Some commercial cloud storage services are on-line data backup services of Amazon, and some practical cloud based software such as Memo pal, Mazy, Bitcasa, Drop box and Google have been built for cloud application. The data and software packages are stored in the cloud server. Multiple users in a group share the source code. The user can access, modify, compile and run that shared source code at any time and place. The collusion of revoked user, the cloud server will give chance to malicious cloud server data. Security issues would be provided in the public cloud storage server by encrypting the data by using encryption techniques. The scheme such as Key-Policy Attribute Based Encryption and Cipher Text- Policy Attribute Based Encryption provide security for the public storage cloud data. The Third Party Auditor maintains an audit log, keep track of malicious user details, and send back the details to the Data Owner are discussed.
Information Leakage Prevention In Cloud ComputingIJERA Editor
The cloud computing is still in it infancy.this is an emerging technology which will bring about innovations in
terms of businessmodels and applications.the widespread penetration of smartphones will be a major factor in
driving the adoption of cloude computing.however, cloud computing faces challenges related to privacy and
security. Due to varied degree of security features and management schemes within the cloud entities security in
the cloud is challenging. Security issues ranging from system misconfiguration, lack of proper updates, or
unwise user behaviour from remote data storage that can expose user ̳s private data and information to unwanted
access can plague a Cloud Computing. The intent of this paper is to investigate the security related issues and
challenges in Cloud computing environment . We also proposed a security scheme for protecting services
keeping in view the issues and challenges faced by cloud computing.
Enhanced security framework to ensure data security in cloud using security b...eSAT Journals
Abstract Data security and Access control is a challenging research work in Cloud Computing. Cloud service users upload there private and confidential data over the cloud. As the data is transferred among the server and client, the data is to be protected from unauthorized entries into the server, by authenticating the user’s and provide high secure priority to the data. So the Experts always recommend using different passwords for different logins. Any normal person cannot possibly follow that advice and memorize all their usernames and passwords. That is where password managers come in. The purpose of this paper is to secure data from unauthorized person using Security blanket algorithm.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Disclosing Private Information from Metadata, hidden info and lost data Chema Alonso
Documents contain metadata and hidden information that can be used to disclose private data and to
fingerprint an organisation and its network computers. This document shows what kinds of data can be found, how to
extract them and proposes some solutions to the problem stated here.
Achieving Secure, sclable and finegrained Cloud computing reportKiran Girase
cloud computing is also facing many challenges that, if not well resolved, may impede its fast growth. Data security, as it exists in many other applications, is among these challenges that would raise great concerns from users when they store sensitive information on cloud servers. These concerns originate from the fact that cloud servers are usually operated by commercial providers which are very likely to be outside of the trusted domain of the users. Data confidential against cloud servers is hence frequently desired when users outsource data for storage in the cloud.
Dynamic Resource Allocation and Data Security for CloudAM Publications
Cloud computing is the next generation of IT organization. Cloud computing moves the software and
databases to the large centres where the management of services and data may not be fully trusted. In this system, we
focus on cloud data storage security, which has been an important aspect of quality of services. To ensure the
correctness of user’s data in the cloud, we propose an effective scheme with Advanced Encryption Standard and MD5
algorithm. Extensive security and performance analysis shows that the proposed scheme is highly efficient. In
proposed work we have developed efficient parallel data processing in clouds and present our research project for
parallel security. Parallel security is the data processing framework to explicitly exploit the dynamic storage along with
data security. We have proposed a strong, formal model for data security on cloud and corruption detection.
E FFICIENT D ATA R ETRIEVAL F ROM C LOUD S TORAGE U SING D ATA M ININ...IJCI JOURNAL
Cloud computing is an emanating technology allowing
users to perform data processing, use as storage
and data admission services from around the world t
hrough internet. The Cloud service providers charge
depending on the user’s usage. Imposing confidentia
lity and scalability on cloud data increases the
complexity of cloud computing. As sensitive informa
tion is centralized into the cloud, this informatio
n must
be encrypted and uploaded to cloud for the data pri
vacy and efficient data utilization. As the data be
comes
complex and number of users are increasing searchin
g of the files must be allowed through multiple
keyword of the end users interest. The traditional
searchable encryption schemes allows users to searc
h in
the encrypted cloud data through keywords, which su
pport only Boolean search, i.e., whether a keyword
exists in a file or not, without any relevance of d
ata files and the queried keyword. Searching of dat
a in the
cloud using Single keyword ranked search results to
o coarse output and the data privacy is opposed usi
ng
server side ranking based on order-preserving encry
ption (OPE)
Cloud computing motivates organization and enterprise to outsource their data to third party cloud service provider. Some commercial cloud storage services are on-line data backup services of Amazon, and some practical cloud based software such as Memo pal, Mazy, Bitcasa, Drop box and Google have been built for cloud application. The data and software packages are stored in the cloud server. Multiple users in a group share the source code. The user can access, modify, compile and run that shared source code at any time and place. The collusion of revoked user, the cloud server will give chance to malicious cloud server data. Security issues would be provided in the public cloud storage server by encrypting the data by using encryption techniques. The scheme such as Key-Policy Attribute Based Encryption and Cipher Text- Policy Attribute Based Encryption provide security for the public storage cloud data. The Third Party Auditor maintains an audit log, keep track of malicious user details, and send back the details to the Data Owner are discussed.
Information Leakage Prevention In Cloud ComputingIJERA Editor
The cloud computing is still in it infancy.this is an emerging technology which will bring about innovations in
terms of businessmodels and applications.the widespread penetration of smartphones will be a major factor in
driving the adoption of cloude computing.however, cloud computing faces challenges related to privacy and
security. Due to varied degree of security features and management schemes within the cloud entities security in
the cloud is challenging. Security issues ranging from system misconfiguration, lack of proper updates, or
unwise user behaviour from remote data storage that can expose user ̳s private data and information to unwanted
access can plague a Cloud Computing. The intent of this paper is to investigate the security related issues and
challenges in Cloud computing environment . We also proposed a security scheme for protecting services
keeping in view the issues and challenges faced by cloud computing.
Enhanced security framework to ensure data security in cloud using security b...eSAT Journals
Abstract Data security and Access control is a challenging research work in Cloud Computing. Cloud service users upload there private and confidential data over the cloud. As the data is transferred among the server and client, the data is to be protected from unauthorized entries into the server, by authenticating the user’s and provide high secure priority to the data. So the Experts always recommend using different passwords for different logins. Any normal person cannot possibly follow that advice and memorize all their usernames and passwords. That is where password managers come in. The purpose of this paper is to secure data from unauthorized person using Security blanket algorithm.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Disclosing Private Information from Metadata, hidden info and lost data Chema Alonso
Documents contain metadata and hidden information that can be used to disclose private data and to
fingerprint an organisation and its network computers. This document shows what kinds of data can be found, how to
extract them and proposes some solutions to the problem stated here.
Achieving Secure, sclable and finegrained Cloud computing reportKiran Girase
cloud computing is also facing many challenges that, if not well resolved, may impede its fast growth. Data security, as it exists in many other applications, is among these challenges that would raise great concerns from users when they store sensitive information on cloud servers. These concerns originate from the fact that cloud servers are usually operated by commercial providers which are very likely to be outside of the trusted domain of the users. Data confidential against cloud servers is hence frequently desired when users outsource data for storage in the cloud.
Semantic annotation, which is considered one of the semantic web applicative aspects, has been adopted by researchers from different communities as a paramount solution that improves searching and retrieval of information by promoting the richness of the content. However, researchers are facing challenges concerning both the quality and the relevance of the semantic annotations attached to the annotated document against its content as well as its semantics, without ignoring those regarding automation process which is supposed to ensure an optimal system for information indexing and retrieval. In this article, we will introduce the semantic annotation concept by presenting a state of the art including definitions, features and a classification of annotation systems. Systems and proposed approaches in the field will be cited, as well as a study of some existing annotation tools. This study will also pinpoint various problems and limitations related to the annotation in order to offer solutions for our future work.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.