Preserving Privacy Policy- Preserving public auditing for data in the cloudinventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
SECURE THIRD PARTY AUDITOR (TPA) FOR ENSURING DATA INTEGRITY IN FOG COMPUTINGIJNSA Journal
Fog computing is an extended version of Cloud computing. It minimizes the latency by incorporating Fog servers as intermediates between Cloud Server and users. It also provides services similar to Cloud like Storage, Computation and resources utilization and security.Fog systems are capable of processing large amounts of data locally, operate on-premise, are fully portable, and can be installed on the heterogeneous hardware. These features make the Fog platform highly suitable for time and location-sensitive applications. For example, the Internet of Things (IoT) devices isrequired to quickly process a large amount of data. The Significance of enterprise data and increased access rates from low-resource terminal devices demands for reliable and low- cost authentication protocols. Lots of researchers have proposed authentication protocols with varied efficiencies.As a part of our contribution, we propose a protocol to ensure data integrity which is best suited for fog computing environment.
DISTRIBUTED SCHEME TO AUTHENTICATE DATA STORAGE SECURITY IN CLOUD COMPUTINGijcsit
Cloud Computing is the revolution in current generation IT enterprise. Cloud computing displaces
database and application software to the large data centres, where the management of services and data
may not be predictable, where as the conventional solutions, for IT services are under proper logical,
physical and personal controls. This aspect attribute, however comprises different security challenges
which have not been well understood. It concentrates on cloud data storage security which has always been
an important aspect of quality of service (QOS). In this paper, we designed and simulated an adaptable and
efficient scheme to guarantee the correctness of user data stored in the cloud and also with some prominent
features. Homomorphic token is used for distributed verification of erasure – coded data. By using this
scheme, we can identify misbehaving servers. In spite of past works, our scheme supports effective and
secure dynamic operations on data blocks such as data insertion, deletion and modification. In contrast to
traditional solutions, where the IT services are under proper physical, logical and personnel controls,
cloud computing moves the application software and databases to the large data centres, where the data
management and services may not be absolutely truthful. This effective security and performance analysis
describes that the proposed scheme is extremely flexible against malicious data modification, convoluted
failures and server clouding attacks.
Nowadays,Data is rising over internet in terabytes and Exabyte. So,there is a need of storing these data which has been fulfilled by cloud computing. Though the s ervice of cloud appear to be efficient and cost eff ective. Yet there are some challenges which are faced in cloud computing such as Data security and Authentication. In cloud Storage the data of Owner is stored in cloud where the cloud servers are remotely located the owner of the data does not have any direct control over the data. If the data over cloud is modified by the cloud,Third Party Auditor (TPA) or any other person there is no preci sion such that the owner of the data gets the infor mation about the modification of the data. TPA is a Third Party Auditor who has Experience in checking the integrity of data. TPA v erifies the files stored over the cloud if they are modified or not. Our scheme provides the solution to this probl em such that if there is any modification in the da ta the owner will get information about the change in the data. Our scheme only provides the information about the change in data it does not keep data intact or secure from mo dification over cloud.
Preserving Privacy Policy- Preserving public auditing for data in the cloudinventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
SECURE THIRD PARTY AUDITOR (TPA) FOR ENSURING DATA INTEGRITY IN FOG COMPUTINGIJNSA Journal
Fog computing is an extended version of Cloud computing. It minimizes the latency by incorporating Fog servers as intermediates between Cloud Server and users. It also provides services similar to Cloud like Storage, Computation and resources utilization and security.Fog systems are capable of processing large amounts of data locally, operate on-premise, are fully portable, and can be installed on the heterogeneous hardware. These features make the Fog platform highly suitable for time and location-sensitive applications. For example, the Internet of Things (IoT) devices isrequired to quickly process a large amount of data. The Significance of enterprise data and increased access rates from low-resource terminal devices demands for reliable and low- cost authentication protocols. Lots of researchers have proposed authentication protocols with varied efficiencies.As a part of our contribution, we propose a protocol to ensure data integrity which is best suited for fog computing environment.
DISTRIBUTED SCHEME TO AUTHENTICATE DATA STORAGE SECURITY IN CLOUD COMPUTINGijcsit
Cloud Computing is the revolution in current generation IT enterprise. Cloud computing displaces
database and application software to the large data centres, where the management of services and data
may not be predictable, where as the conventional solutions, for IT services are under proper logical,
physical and personal controls. This aspect attribute, however comprises different security challenges
which have not been well understood. It concentrates on cloud data storage security which has always been
an important aspect of quality of service (QOS). In this paper, we designed and simulated an adaptable and
efficient scheme to guarantee the correctness of user data stored in the cloud and also with some prominent
features. Homomorphic token is used for distributed verification of erasure – coded data. By using this
scheme, we can identify misbehaving servers. In spite of past works, our scheme supports effective and
secure dynamic operations on data blocks such as data insertion, deletion and modification. In contrast to
traditional solutions, where the IT services are under proper physical, logical and personnel controls,
cloud computing moves the application software and databases to the large data centres, where the data
management and services may not be absolutely truthful. This effective security and performance analysis
describes that the proposed scheme is extremely flexible against malicious data modification, convoluted
failures and server clouding attacks.
Nowadays,Data is rising over internet in terabytes and Exabyte. So,there is a need of storing these data which has been fulfilled by cloud computing. Though the s ervice of cloud appear to be efficient and cost eff ective. Yet there are some challenges which are faced in cloud computing such as Data security and Authentication. In cloud Storage the data of Owner is stored in cloud where the cloud servers are remotely located the owner of the data does not have any direct control over the data. If the data over cloud is modified by the cloud,Third Party Auditor (TPA) or any other person there is no preci sion such that the owner of the data gets the infor mation about the modification of the data. TPA is a Third Party Auditor who has Experience in checking the integrity of data. TPA v erifies the files stored over the cloud if they are modified or not. Our scheme provides the solution to this probl em such that if there is any modification in the da ta the owner will get information about the change in the data. Our scheme only provides the information about the change in data it does not keep data intact or secure from mo dification over cloud.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
An Efficient and Safe Data Sharing Scheme for Mobile Cloud Computingijtsrd
As the popularity of cloud computing is increasing, mobile devices at any time can store or retrieve personal information from anywhere. As a result, the issue of data protection in the mobile cloud is becoming increasingly severe and prevents more mobile cloud computing. There are important studies that have been carried out to strengthen the protection of the cloud. Most of them, however, are not applicable to mobile clouds, as mobile devices have restricted computing resources and power. In this paper, I propose a lightweight data sharing scheme LDSS for mobile cloud computing. It uses CP ABE Cipher text Policy Attribute Based Encryption , an access control technology used in basic cloud atmosphere, but changes the structure of access control tree to make it suitable for mobile cloud environments. LDSS moves a large portion of the computational rigorous access control tree transformation in CP ABE Cipher text Policy Attribute Based Encryption from mobile devices to external proxy servers. Also, to reduce the user revocation cost, it introduces attribute description fields to implement lazy revocation, which is a pointed issue in program based CP ABE Cipher text Policy Attribute Based Encryption systems. The trial results show that LDSS can effectively lower the overhead on the mobile device side when users are sharing information in mobile cloud environments. Abhishek. D | Dr. Lakshmi J. V. N "An Efficient and Safe Data Sharing Scheme for Mobile Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd35909.pdf Paper URL : https://www.ijtsrd.com/computer-science/computer-security/35909/an-efficient-and-safe-data-sharing-scheme-for-mobile-cloud-computing/abhishek-d
The capability of involving the selection sharing encrypted data with different users via public
cloud storage may greatly ease security concerns over not intended data leaks in the cloud. A key
challenge to designing such encryption schemes to be sustainable in the efficient management of
encryption keys. The desired flexibility of sharing any group of selected documents with any group of
users need for something different encryption keys to be used for different documents. However, this
also implies the urgent need of securely distributing to users a large number of keys for both encryption
and search, and those users will have to protected from danger store the received keys, and submit an
equally large number of keyword trapdoors to the cloud in order to perform search over the shared data
implied need for secure communication, storage, and complexity clearly to give to someone the
approach impractical. In this work a data owner only needs to distribute a single key to a user for
sharing a very large number of documents, and the user only needs to submit a single trapdoor to the
cloud for querying the shared documents. User Revocation is used for Key Updation. Forward Secrecy
and Backward Secrecy is used.
Privacy Preserving in Cloud Using Distinctive Elliptic Curve Cryptosystem (DECC)ElavarasaN GanesaN
Securing the data over a cloud network is always a challenging problem
for the researcher over the past one decade. There exist many conventional
algorithms/techniques which proclaim to ensure secure transmission, storage
and retrieval of data over the cloud platform. All these mechanisms mainly
focus on ensuring privacy preserve for of client / user‟s data. This research
work aims to propose distinctive elliptic curve cryptography. DECC is based
on the algebraic structure of elliptic curves in the finite fields. The DECC is
used for privacy preserving since smaller keys are used when compared to all
the rest of the existing cryptographic algorithms. Performance metrics such as
average relative error, time, anonymization time and information loss are
taken into account. Implementations are carried out in MATLAB tool. Results
portrays that the proposed DECC outperforms the existing methods.
A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud ...1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
Secure Data Sharing In an Untrusted CloudIJERA Editor
Cloud computing is a huge area which basically provides many services on the basis of pay as you go. One of the fundamental services provided by cloud is data storage. Cloud provides cost efficiency and an efficient solution for sharing resource among cloud users. A secure and efficient data sharing scheme for groups in cloud is not an easy task. On one hand customers are not ready to share their identity but on other hand want to enjoy the cost efficiency provided by the cloud. It needs to provide identity privacy, multiple owner and dynamic data sharing without getting effected by the number of cloud users revoked. In this paper, any member of a group can completely enjoy the data storing and sharing services by the cloud. A secure data sharing scheme for dynamic cloud users is proposed in this paper. For which it uses group signature and dynamic broadcast encryption techniques such that any user in a group can share the information in a secured manner. Additionally the permission option is proposed for the security reasons. This means the file access permissions are generated by the admin and given to the user using Role Based Access Control (RBA) algorithm. The file access permissions are read, write and delete. In this, owner can provide files with options and accepts the users using that option. The revocation of cloud user is a function generated by the Admin for security purpose. The encryption computational cost and storage overhead is not dependent on the number of users revoked. We analyze the security by proofs and produce the cloud efficiency report using cloudsim.
Cloud storage provides a convenient, massive, and scalable storage at low cost, but data privacy is a major concern that prevents users from storing files on the cloud trustingly.
Centralized Data Verification Scheme for Encrypted Cloud Data ServicesEditor IJMTER
Cloud environment supports data sharing between multiple users. Data integrity is violated
due to hardware / software failures and human errors. Data owners and public verifiers are involved to
efficiently audit cloud data integrity without retrieving the entire data from the cloud server. File and
block signatures are used in the integrity verification process.
“One Ring to RUle Them All” (Oruta) scheme is used for privacy-preserving public auditing process. In
oruta homomorphic authenticators are constructed using Ring Signatures. Ring signatures are used to
compute verification metadata needed to audit the correctness of shared data. The identity of the signer
on each block in shared data is kept private from public verifiers. Homomorphic authenticable ring
signature (HARS) scheme is applied to provide identity privacy with blockless verification. Batch
auditing mechanism supports to perform multiple auditing tasks simultaneously. Oruta is compatible
with random masking to preserve data privacy from public verifiers. Dynamic data management process
is handled with index hash tables. Traceability is not supported in oruta scheme. Data dynamism
sequence is not managed by the system. The system obtains high computational overhead
The proposed system is designed to perform public data verification with privacy. Traceability features
are provided with identity privacy. Group manager or data owner can be allowed to reveal the identity of
the signer based on verification metadata. Data version management mechanism is integrated with the
system.
A novel cloud storage system with support of sensitive data applicationijmnct
Most users are willing to store their data in the c
loud storage system and use many facilities of clou
d. But
their sensitive data applications faces with potent
ial serious security threats. In this paper, securi
ty
requirements of sensitive data application in the c
loud are analyzed and improved structure for the ty
pical
cloud storage system architecture is proposed. The
hardware USB-Key is used in the proposed architectu
re
for purpose of enhancing security of user identity
and interaction security between the users and the
cloud
storage system. Moreover, drawn from the idea of da
ta active protection, a data security container is
introduced in the system to enhance the security of
the data transmission process; by encapsulating th
e
encrypted data, increasing appropriate access contr
ol and data management functions. The static data
blocks are replaced with a dynamic executable data
security container. Then, an enhanced security
architecture for software of cloud storage terminal
is proposed for more adaptation with the user's sp
ecific
requirements, and its functions and components can
be customizable. Moreover, the proposed architectur
e
have capability of detecting whether the execution
environment is according with the pre-defined
environment requirements.
Improving Data Storage Security in Cloud using HadoopIJERA Editor
The rising abuse of information stored on large data centres in cloud emphasizes the need to safe guard the data. Despite adopting strict authentication policies for cloud users data while transferred over to secure channel when reaches data centres is vulnerable to numerous attacks .The most widely adoptable methodology is safeguarding the cloud data is through encryption algorithm. Encryption of large data deployed in cloud is actually a time consuming process. For the secure transmission of information AES encryption has been used which provides most secure way to transfer the sensitive information from sender to the intended receiver. The main purpose of using this technique is to make sensitive information unreadable to all other except the receiver. The data thus compressed enables utilization of storage space in cloud environment. It has been augmented with Hadoop‟s map-reduce paradigm which works in a parallel mode. The experimental results clearly reflect the effectiveness of the methodology to improve the security of data in cloud environment.
Role Based Access Control Model (RBACM) With Efficient Genetic Algorithm (GA)...dbpublications
Cloud computing is one the promising and emerging field in Information Technology because of its performance, low cost and great availability. Cloud computing basically gives services to an individual and the organization through the network with the capability to scale down or up their different kinds of services. The basic service of cloud computing system is known as a cloud storage system which containing a collection of storage servers. These storage servers gives long-term storage services by using the internet with free of cost. However, the storing data using cloud system of third party causes very serious problem over data confidentiality. Typically, different kinds of encryption schemes are used to protect the cloud data confidentiality, but it take more time to process even a single operation. Thus, in this paper proposes cloud data confidentiality by integrates encoding, encrypting and forwarding. Token Based Data Security Algorithm (TBDSA) along with RSA and AES is used for decryption and encryption process and Role Based Access Control Model (RBACM) is access at the time of data forwarding. Here, cloud user’s accessing password is created by using encoding process which is done by Genetic Algorithm (GA) and process of GA is presented in this paper. This
TBDSA and GA algorithms takes minimum time to execute and raises the system performance.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
An Efficient and Safe Data Sharing Scheme for Mobile Cloud Computingijtsrd
As the popularity of cloud computing is increasing, mobile devices at any time can store or retrieve personal information from anywhere. As a result, the issue of data protection in the mobile cloud is becoming increasingly severe and prevents more mobile cloud computing. There are important studies that have been carried out to strengthen the protection of the cloud. Most of them, however, are not applicable to mobile clouds, as mobile devices have restricted computing resources and power. In this paper, I propose a lightweight data sharing scheme LDSS for mobile cloud computing. It uses CP ABE Cipher text Policy Attribute Based Encryption , an access control technology used in basic cloud atmosphere, but changes the structure of access control tree to make it suitable for mobile cloud environments. LDSS moves a large portion of the computational rigorous access control tree transformation in CP ABE Cipher text Policy Attribute Based Encryption from mobile devices to external proxy servers. Also, to reduce the user revocation cost, it introduces attribute description fields to implement lazy revocation, which is a pointed issue in program based CP ABE Cipher text Policy Attribute Based Encryption systems. The trial results show that LDSS can effectively lower the overhead on the mobile device side when users are sharing information in mobile cloud environments. Abhishek. D | Dr. Lakshmi J. V. N "An Efficient and Safe Data Sharing Scheme for Mobile Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd35909.pdf Paper URL : https://www.ijtsrd.com/computer-science/computer-security/35909/an-efficient-and-safe-data-sharing-scheme-for-mobile-cloud-computing/abhishek-d
The capability of involving the selection sharing encrypted data with different users via public
cloud storage may greatly ease security concerns over not intended data leaks in the cloud. A key
challenge to designing such encryption schemes to be sustainable in the efficient management of
encryption keys. The desired flexibility of sharing any group of selected documents with any group of
users need for something different encryption keys to be used for different documents. However, this
also implies the urgent need of securely distributing to users a large number of keys for both encryption
and search, and those users will have to protected from danger store the received keys, and submit an
equally large number of keyword trapdoors to the cloud in order to perform search over the shared data
implied need for secure communication, storage, and complexity clearly to give to someone the
approach impractical. In this work a data owner only needs to distribute a single key to a user for
sharing a very large number of documents, and the user only needs to submit a single trapdoor to the
cloud for querying the shared documents. User Revocation is used for Key Updation. Forward Secrecy
and Backward Secrecy is used.
Privacy Preserving in Cloud Using Distinctive Elliptic Curve Cryptosystem (DECC)ElavarasaN GanesaN
Securing the data over a cloud network is always a challenging problem
for the researcher over the past one decade. There exist many conventional
algorithms/techniques which proclaim to ensure secure transmission, storage
and retrieval of data over the cloud platform. All these mechanisms mainly
focus on ensuring privacy preserve for of client / user‟s data. This research
work aims to propose distinctive elliptic curve cryptography. DECC is based
on the algebraic structure of elliptic curves in the finite fields. The DECC is
used for privacy preserving since smaller keys are used when compared to all
the rest of the existing cryptographic algorithms. Performance metrics such as
average relative error, time, anonymization time and information loss are
taken into account. Implementations are carried out in MATLAB tool. Results
portrays that the proposed DECC outperforms the existing methods.
A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud ...1crore projects
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
Secure Data Sharing In an Untrusted CloudIJERA Editor
Cloud computing is a huge area which basically provides many services on the basis of pay as you go. One of the fundamental services provided by cloud is data storage. Cloud provides cost efficiency and an efficient solution for sharing resource among cloud users. A secure and efficient data sharing scheme for groups in cloud is not an easy task. On one hand customers are not ready to share their identity but on other hand want to enjoy the cost efficiency provided by the cloud. It needs to provide identity privacy, multiple owner and dynamic data sharing without getting effected by the number of cloud users revoked. In this paper, any member of a group can completely enjoy the data storing and sharing services by the cloud. A secure data sharing scheme for dynamic cloud users is proposed in this paper. For which it uses group signature and dynamic broadcast encryption techniques such that any user in a group can share the information in a secured manner. Additionally the permission option is proposed for the security reasons. This means the file access permissions are generated by the admin and given to the user using Role Based Access Control (RBA) algorithm. The file access permissions are read, write and delete. In this, owner can provide files with options and accepts the users using that option. The revocation of cloud user is a function generated by the Admin for security purpose. The encryption computational cost and storage overhead is not dependent on the number of users revoked. We analyze the security by proofs and produce the cloud efficiency report using cloudsim.
Cloud storage provides a convenient, massive, and scalable storage at low cost, but data privacy is a major concern that prevents users from storing files on the cloud trustingly.
Centralized Data Verification Scheme for Encrypted Cloud Data ServicesEditor IJMTER
Cloud environment supports data sharing between multiple users. Data integrity is violated
due to hardware / software failures and human errors. Data owners and public verifiers are involved to
efficiently audit cloud data integrity without retrieving the entire data from the cloud server. File and
block signatures are used in the integrity verification process.
“One Ring to RUle Them All” (Oruta) scheme is used for privacy-preserving public auditing process. In
oruta homomorphic authenticators are constructed using Ring Signatures. Ring signatures are used to
compute verification metadata needed to audit the correctness of shared data. The identity of the signer
on each block in shared data is kept private from public verifiers. Homomorphic authenticable ring
signature (HARS) scheme is applied to provide identity privacy with blockless verification. Batch
auditing mechanism supports to perform multiple auditing tasks simultaneously. Oruta is compatible
with random masking to preserve data privacy from public verifiers. Dynamic data management process
is handled with index hash tables. Traceability is not supported in oruta scheme. Data dynamism
sequence is not managed by the system. The system obtains high computational overhead
The proposed system is designed to perform public data verification with privacy. Traceability features
are provided with identity privacy. Group manager or data owner can be allowed to reveal the identity of
the signer based on verification metadata. Data version management mechanism is integrated with the
system.
A novel cloud storage system with support of sensitive data applicationijmnct
Most users are willing to store their data in the c
loud storage system and use many facilities of clou
d. But
their sensitive data applications faces with potent
ial serious security threats. In this paper, securi
ty
requirements of sensitive data application in the c
loud are analyzed and improved structure for the ty
pical
cloud storage system architecture is proposed. The
hardware USB-Key is used in the proposed architectu
re
for purpose of enhancing security of user identity
and interaction security between the users and the
cloud
storage system. Moreover, drawn from the idea of da
ta active protection, a data security container is
introduced in the system to enhance the security of
the data transmission process; by encapsulating th
e
encrypted data, increasing appropriate access contr
ol and data management functions. The static data
blocks are replaced with a dynamic executable data
security container. Then, an enhanced security
architecture for software of cloud storage terminal
is proposed for more adaptation with the user's sp
ecific
requirements, and its functions and components can
be customizable. Moreover, the proposed architectur
e
have capability of detecting whether the execution
environment is according with the pre-defined
environment requirements.
Improving Data Storage Security in Cloud using HadoopIJERA Editor
The rising abuse of information stored on large data centres in cloud emphasizes the need to safe guard the data. Despite adopting strict authentication policies for cloud users data while transferred over to secure channel when reaches data centres is vulnerable to numerous attacks .The most widely adoptable methodology is safeguarding the cloud data is through encryption algorithm. Encryption of large data deployed in cloud is actually a time consuming process. For the secure transmission of information AES encryption has been used which provides most secure way to transfer the sensitive information from sender to the intended receiver. The main purpose of using this technique is to make sensitive information unreadable to all other except the receiver. The data thus compressed enables utilization of storage space in cloud environment. It has been augmented with Hadoop‟s map-reduce paradigm which works in a parallel mode. The experimental results clearly reflect the effectiveness of the methodology to improve the security of data in cloud environment.
Role Based Access Control Model (RBACM) With Efficient Genetic Algorithm (GA)...dbpublications
Cloud computing is one the promising and emerging field in Information Technology because of its performance, low cost and great availability. Cloud computing basically gives services to an individual and the organization through the network with the capability to scale down or up their different kinds of services. The basic service of cloud computing system is known as a cloud storage system which containing a collection of storage servers. These storage servers gives long-term storage services by using the internet with free of cost. However, the storing data using cloud system of third party causes very serious problem over data confidentiality. Typically, different kinds of encryption schemes are used to protect the cloud data confidentiality, but it take more time to process even a single operation. Thus, in this paper proposes cloud data confidentiality by integrates encoding, encrypting and forwarding. Token Based Data Security Algorithm (TBDSA) along with RSA and AES is used for decryption and encryption process and Role Based Access Control Model (RBACM) is access at the time of data forwarding. Here, cloud user’s accessing password is created by using encoding process which is done by Genetic Algorithm (GA) and process of GA is presented in this paper. This
TBDSA and GA algorithms takes minimum time to execute and raises the system performance.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
SECURE THIRD PARTY AUDITOR (TPA) FOR ENSURING DATA INTEGRITY IN FOG COMPUTINGIJNSA Journal
Fog computing is an extended version of Cloud computing. It minimizes the latency by incorporating Fog servers as intermediates between Cloud Server and users. It also provides services similar to Cloud like Storage, Computation and resources utilization and security.Fog systems are capable of processing large amounts of data locally, operate on-premise, are fully portable, and can be installed on the heterogeneous hardware. These features make the Fog platform highly suitable for time and location-sensitive applications. For example, the Internet of Things (IoT) devices isrequired to quickly process a large amount of data. The Significance of enterprise data and increased access rates from low-resource terminal devices demands for reliable and low- cost authentication protocols. Lots of researchers have proposed authentication protocols with varied efficiencies.As a part of our contribution, we propose a protocol to ensure data integrity which is best suited for fog computing environment.
Cloud Computing is the revolution in current generation IT enterprise. Cloud computing displaces database and application software to the large data centres, where the management of services and data may not be predictable, where as the conventional solutions, for IT services are under proper logical, physical and personal controls. This aspect attribute, however comprises different security challenges which have not been well understood. It concentrates on cloud data storage security which has always been an important aspect of quality of service (QOS). In this paper, we designed and simulated an adaptable and efficient scheme to guarantee the correctness of user data stored in the cloud and also with some prominent features. Homomorphic token is used for distributed verification of erasure – coded data. By using this scheme, we can identify misbehaving servers. In spite of past works, our scheme supports effective and secure dynamic operations on data blocks such as data insertion, deletion and modification. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, cloud computing moves the application software and databases to the large data centres, where the data management and services may not be absolutely truthful. This effective security and performance analysis describes that the proposed scheme is extremely flexible against malicious data modification, convoluted failures and server clouding attacks.
Cloud Computing is the revolution in current generation IT enterprise. Cloud computing displaces database and application software to the large data centres, where the management of services and data may not be predictable, where as the conventional solutions, for IT services are under proper logical, physical and personal controls. This aspect attribute, however comprises different security challenges which have not been well understood. It concentrates on cloud data storage security which has always been an important aspect of quality of service (QOS). In this paper, we designed and simulated an adaptable and efficient scheme to guarantee the correctness of user data stored in the cloud and also with some prominent features. Homomorphic token is used for distributed verification of erasure – coded data. By using this scheme, we can identify misbehaving servers. In spite of past works, our scheme supports effective and secure dynamic operations on data blocks such as data insertion, deletion and modification. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, cloud computing moves the application software and databases to the large data centres, where the data management and services may not be absolutely truthful. This effective security and performance analysis describes that the proposed scheme is extremely flexible against malicious data modification, convoluted failures and server clouding attacks.
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.
Cloud Computing Using Encryption and Intrusion Detectionijsrd.com
Cloud computing provides many benefits to the users such as accessibility and availability. As the data is available over the cloud, it can be accessed by different users. There may be sensitive data of organization. This is the one issue to provide access to authenticated users only. But the data can be accessed by the owner of the cloud. So to avoid getting data being accessed by the cloud owner, we will use the intrusion detection system to provide security to the data. The other issue is to save the data backup in other cloud in encrypted form so that load balancing can be done. This will help the user with data availability in case of failure of one cloud.
A Secure, Scalable, Flexible and Fine-Grained Access Control Using Hierarchic...Editor IJCATR
Cloud Computing is going to be very popular technology in IT enterprises. For any enterprise the data stored is very huge
and invaluable. Since all tasks are performed through network it has become vital to have the secured use of legitimate data. In cloud
computing the most important matter of concern are data security and privacy along with flexibility, scalability and fine grained access
control of data being the other requirements to be maintained by cloud systems Access control is one of the prominent research topics
and hence various schemes have been proposed and implemented. But most of them do not provide flexibility, scalability and fine
grained access control of the data on the cloud. In order to address the issues of flexibility, scalability and fine grained access control
of remotely stored data on cloud we have proposed the hierarchical attribute set-based encryption (HASBE) which is the extension of
attribute- set-based encryption(ASBE) with a hierarchical structure of users. The proposed scheme achieves scalability by handling the
authority to appropriate entity in the hierarchical structure, inherits flexibility by allowing easy transfer and access to the data in case
of location switch. It provides fine grained access control of data by showing only the requested and authorized details to the user thus
improving the performance of the system. In addition, it provides efficient user revocation within expiration time, request to view
extra-attributes and privacy in the intra-level hierarchy is achieved. Thus the scheme is implemented to show that is efficient in access
control of data as well as security of data stored on cloud with comprehensive experiments
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
Effective & Flexible Cryptography Based Scheme for Ensuring User`s Data Secur...ijsrd.com
Cloud computing has been envisioned as the next-generation architecture of IT enterprise. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, cloud computing moves the application software and databases to the large data centers, where the management of the data and services may not be fully trustworthy. This unique attribute, however, poses many new security challenges which have not been well understood. In this article, we focus on cloud data storage security, which has always been an important aspect of quality of service. To ensure the correctness of users' data in the cloud, we propose an effective and flexible cryptography based scheme. Extensive security and performance analysis shows that the proposed scheme is highly efficient and resilient against malicious data modification attack.
Survey on securing outsourced storages in cloudeSAT Journals
Abstract Cloud computing is one of the buzzwords of technological developments in the IT industry and service sectors. Widening the social capabilities of servicing for a user on the internet while narrowing the insufficiency to store information and provide facilities locally, computing interests are shifting towards cloud services. Cloud services although contributes to major advantages for servicing also incurs notification to major security issues. The issues and the approaches that can be taken to minimise or even eliminate their effects are discussed in this paper to progress toward more secure storage services on the cloud. Keywords: Cloud computing, Cloud Security, Outsourced Storages, Storage as a Service
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
Improve HLA based Encryption Process using fixed Size Aggregate Key generationEditor IJMTER
Cloud computing is an innovative idea for IT industries which provides several services to
users. In cloud computing secure authentication and data integrity of data is a major challenge, due to
internal and external threats. For improvement in data security over cloud, various techniques are
used.MAC based authentication is one of them, which suffers from undesirable systematic demerits
which have bounded usage and not secure verification, which may pose additional online load to users,
in a public auditing setting. Reliable and secure auditing are also challenging in cloud. In Cloud auditing
existing audit systems are based on aggregate key HLA algorithm. This algorithm is based on variable
sizes, different aggregate key generation, which encounters with security issues at decryption level.
Current Scheme generates a high length of key decryption that encounters with problem of space
complexity. To overcome these issues, We can improve HLA algorithm by improve aggregate key
generation, based on fixed key size. This algorithm generates constant aggregate key which will
overcomes problem of sharing of keys, security issues and space complexity.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Cloud computing is the technology which enables obtaining resources like so services,
software, hardware over the internet. With cloud storage users can store their data remotely and
enjoy on-demand services and application from the configurable resources. The cloud data storage
has many benefits over local data storage. Users should be able to just use the cloud storage as if it is
local, without worrying about the need to verify its integrity. The problem is that ensuring data
security and integrity of data of user. Sohere, I am going to have public audit ability for cloud storage
that users can resort to a third-party auditor (TPA) to check the integrity of data. This paper gives the
various issues related to privacy while storing the user’s data to the cloud storage during the TPA
auditing. Without appropriate security and privacy solutions designed for clouds this computing
paradigm could become a big failure. I am a giving privacy-preserving public auditing using ring
signature process for secure cloud storage system. This paper is going to analyze various techniques
to solve these issues and to provide the privacy and security to the data in cloud
Survey on Privacy- Preserving Multi keyword Ranked Search over Encrypted Clou...Editor IJMTER
The advent of cloud computing, data owners are motivated to outsource their complex
data management systems from local sites to commercial public cloud for great flexibility and
economic savings. But for protecting data privacy, sensitive data has to be encrypted before
outsourcing.Considering the large number of data users and documents in cloud, it is crucial for
the search service to allow multi-keyword query and provide result similarity ranking to meet the
effective data retrieval need. Related works on searchable encryption focus on single keyword
search or Boolean keyword search, and rarely differentiate the search results. We first propose a
basic MRSE scheme using secure inner product computation, and then significantly improve it to
meet different privacy requirements in two levels of threat models. The Incremental High Utility
Pattern Transaction Frequency Tree (IHUPTF-Tree) is designed according to the transaction
frequency (descending order) of items to obtain a compact tree.
By using high utility pattern the items can be arranged in an efficient manner. Tree structure
is used to sort the items. Thus the items are sorted and frequent pattern is obtained. The frequent
pattern items are retrieved from the database by using hybrid tree (H-Tree) structure. So the
execution time becomes faster. Finally, the frequent pattern item that satisfies the threshold value
is displayed.
An proficient and Confidentiality-Preserving Multi- Keyword Ranked Search ove...Editor IJCATR
Cloud computing has developed progressively prevalent for data owners to outsource their data to public cloud servers
while consenting data users to reclaim this data. For isolation disquiets, a secure rifle over encrypted cloud data has stirred numerous
research mechanisms underneath the particular owner model. Conversely, most cloud servers in practice do not just assist one owner,
as an alternative, their sustenance gives multiple owners to share the assistances carried by cloud computing. In this proficient and
confidentiality-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data, new schemes to deal with Privacy preserving
Ranked Multi-keyword Search in a Multi-owner model (PRMSM) has been introduced. To facilitate cloud servers to execute secure
search without knowing the actual data of both keywords and trapdoors, we thoroughly build a novel secure search protocol. To rank
the search results and domain the privacy of relevance scores amongst keywords and files. To thwart the assailants from snooping
secret keys and fantasizing to be legal data users submitting pursuits, a novel dynamic secret key generation protocol and a new data
user authentication protocol is discussed.
Electrically small antennas: The art of miniaturizationEditor IJARCET
We are living in the technological era, were we preferred to have the portable devices rather than unmovable devices. We are isolating our self rom the wires and we are becoming the habitual of wireless world what makes the device portable? I guess physical dimensions (mechanical) of that particular device, but along with this the electrical dimension is of the device is also of great importance. Reducing the physical dimension of the antenna would result in the small antenna but not electrically small antenna. We have different definition for the electrically small antenna but the one which is most appropriate is, where k is the wave number and is equal to and a is the radius of the imaginary sphere circumscribing the maximum dimension of the antenna. As the present day electronic devices progress to diminish in size, technocrats have become increasingly concentrated on electrically small antenna (ESA) designs to reduce the size of the antenna in the overall electronics system. Researchers in many fields, including RF and Microwave, biomedical technology and national intelligence, can benefit from electrically small antennas as long as the performance of the designed ESA meets the system requirement.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.