This document discusses data security in cloud computing using cryptographic algorithms. It begins by introducing cloud computing and cryptography. Cryptography is used to securely store and transmit data in the cloud since the data is no longer under the user's direct control. The document then discusses how AES (Advanced Encryption Standard) can be used to encrypt data for secure storage and transmission in cloud computing. It provides an overview of the AES algorithm, including the encryption process which involves sub-processes like byte substitution, shift rows, mix columns and adding round keys over multiple rounds. The document also provides pseudocode for the AES encryption process and discusses how AES encryption provides stronger security than other algorithms like DES.
Accessing secured data in cloud computing environmentIJNSA Journal
Number of businesses using cloud computing has increased dramatically over the last few years due to the attractive features such as scalability, flexibility, fast start-up and low costs. Services provided over the web are ranging from using provider’s software and hardware to managing security and other issues. Some of the biggest challenges at this point are providing privacy and data security to subscribers of public cloud servers. An efficient encryption technique presented in this paper can be used for secure access to and storage of data on public cloud server, moving and searching encrypted data through communication channels while protecting data confidentiality. This method ensures data protection against both external and internal intruders. Data can be decrypted only with the provided by the data owner key, while public cloud server is unable to read encrypted data or queries. Answering a query does not depend on it size and done in a constant time. Data access is managed by the data owner. The proposed schema allows unauthorized modifications detection
A PPLICATION OF C LASSICAL E NCRYPTION T ECHNIQUES FOR S ECURING D ATA -...IJCI JOURNAL
The process of protecting information by transformi
ng (encrypting) it into an unreadable format is cal
led
cryptography. Only those who possess secret key can
decipher (decrypt) the message into plain text.
Encrypted messages can sometimes be broken by crypt
analysis, also called code breaking, so there is a
need for strong and fast cryptographic methods for
securing the data from attackers. Although modern
cryptography techniques are virtually unbreakable,
sometimes they also tend to attack.
As the Internet, big data, cloud data storage and
other forms of electronic communication become more
prevalent, electronic security is becoming increasi
ngly important. Cryptography is used to protect e-m
ail
messages, credit card information, corporate data,
cloud data and big data so on... So there is a need
for
best and fast cryptographic methods for protecting
the data. In this paper a method is proposed to pro
tect
the data in faster way by using classical cryptogra
phy. The encryption and decryption are done in par
allel
using threads with the help of underlying hardware.
The time taken by sequential and parallel method i
s
analysed
Multi-part Dynamic Key Generation For Secure Data EncryptionCSCJournals
Storage of user or application-generated user-specific private, confidential data on a third party storage provider comes with its own set of challenges. Although such data is usually encrypted while in transit, securely storing such data at rest presents unique security challenges. The first challenge is the generation of encryption keys to implement the desired threat containment. The second challenge is secure storage and management of these keys. This can be accomplished in several ways. A naive approach can be to trust the boundaries of a secure network and store the keys within these bounds in plain text. A more sophisticated method can be devised to calculate or infer the encryption key without explicitly storing it. This paper focuses on the latter approach. Additionally, the paper also describes the implementation of a system that in addition to exposing a set of REST APIs for secure CRUD operations also provides a means for sharing the data among specific users.
Accessing secured data in cloud computing environmentIJNSA Journal
Number of businesses using cloud computing has increased dramatically over the last few years due to the attractive features such as scalability, flexibility, fast start-up and low costs. Services provided over the web are ranging from using provider’s software and hardware to managing security and other issues. Some of the biggest challenges at this point are providing privacy and data security to subscribers of public cloud servers. An efficient encryption technique presented in this paper can be used for secure access to and storage of data on public cloud server, moving and searching encrypted data through communication channels while protecting data confidentiality. This method ensures data protection against both external and internal intruders. Data can be decrypted only with the provided by the data owner key, while public cloud server is unable to read encrypted data or queries. Answering a query does not depend on it size and done in a constant time. Data access is managed by the data owner. The proposed schema allows unauthorized modifications detection
A PPLICATION OF C LASSICAL E NCRYPTION T ECHNIQUES FOR S ECURING D ATA -...IJCI JOURNAL
The process of protecting information by transformi
ng (encrypting) it into an unreadable format is cal
led
cryptography. Only those who possess secret key can
decipher (decrypt) the message into plain text.
Encrypted messages can sometimes be broken by crypt
analysis, also called code breaking, so there is a
need for strong and fast cryptographic methods for
securing the data from attackers. Although modern
cryptography techniques are virtually unbreakable,
sometimes they also tend to attack.
As the Internet, big data, cloud data storage and
other forms of electronic communication become more
prevalent, electronic security is becoming increasi
ngly important. Cryptography is used to protect e-m
ail
messages, credit card information, corporate data,
cloud data and big data so on... So there is a need
for
best and fast cryptographic methods for protecting
the data. In this paper a method is proposed to pro
tect
the data in faster way by using classical cryptogra
phy. The encryption and decryption are done in par
allel
using threads with the help of underlying hardware.
The time taken by sequential and parallel method i
s
analysed
Multi-part Dynamic Key Generation For Secure Data EncryptionCSCJournals
Storage of user or application-generated user-specific private, confidential data on a third party storage provider comes with its own set of challenges. Although such data is usually encrypted while in transit, securely storing such data at rest presents unique security challenges. The first challenge is the generation of encryption keys to implement the desired threat containment. The second challenge is secure storage and management of these keys. This can be accomplished in several ways. A naive approach can be to trust the boundaries of a secure network and store the keys within these bounds in plain text. A more sophisticated method can be devised to calculate or infer the encryption key without explicitly storing it. This paper focuses on the latter approach. Additionally, the paper also describes the implementation of a system that in addition to exposing a set of REST APIs for secure CRUD operations also provides a means for sharing the data among specific users.
Cloud computing has become an integral part of most of the private and public organizations and being used for data storage and retrieval. There are many usage of cloud computing and widely used in highly confidential national services like military and treasury for storing confidential information. The cloud computing for example Google drive, Amazon Web Service and Microsoft Azure are beneficial for organizations and end-users. Using Cloud computing and its services, organisation/end-users can store their data. There are multiple challenges while saving organisations highly confidential documents in servers. Hence, the objective of this paper is to provide a high level design for a storage system maximising security and personal privacy. Though servers are highly protected against unauthorized access, there are incidents where confidential files stored on servers are accessed by the maintenance staffs. Hence this research paper provides introductory structure for fully protection of files stored in the server by using Hybrid Cryptosystem.
Cloud storage (CS) is gaining much popularity nowadays because it offers low-cost and convenient network storage services. In this big data era, the explosive growth in digital data moves the users towards CS to store their massive data. This explosive growth of data causes a lot of storage pressure on CS systems because a large volume of this data is redundant. Data deduplication is a most-effective data reduction technique that identifies and eliminates the redundant data. Dynamic nature of data makes security and ownership of data as a very important issue. Proof-of-ownership schemes are a robust way to check the ownership claimed by any owner. However to protect the privacy of data, many users encrypt it before storing in CS. This method affects the deduplication process because encryption methods have varying characteristics. Convergent encryption (CE) scheme is widely used for secure data deduplication, but it destroys the message equality. Although, DupLESS provides strong privacy by enhancing CE, but it is also found insufficient. The problem with the CE-based scheme is that the user can decrypt the cloud data while he has lost his ownership. This paper addresses the problem of ownership revocation by proposing a secure deduplication scheme for encrypted data. The proposed scheme enhances the security against unauthorized encryption and poison attack on the predicted set of data.
Cloud Auditing With Zero Knowledge PrivacyIJERA Editor
The Cloud computing is a latest technology which provides various services through internet. The Cloud server allows user to store their data on a cloud without worrying about correctness & integrity of data. Cloud data storage has many advantages over local data storage. User can upload their data on cloud and can access those data anytime anywhere without any additional burden. The User doesn’t have to worry about storage and maintenance of cloud data. But as data is stored at the remote place how users will get the confirmation about stored data. Hence Cloud data storage should have some mechanism which will specify storage correctness and integrity of data stored on a cloud. The major problem of cloud data storage is security .Many researchers have proposed their work or new algorithms to achieve security or to resolve this security problem. In this paper, we proposed a Shamir’s Secrete sharing algorithm for Privacy Preservation for data Storage security in cloud computing. We can achieve confidentiality, integrity and availability of the data. It supports data dynamics where the user can perform various operations on data like insert, update and delete as well as batch auditing where multiple user requests for storage correctness will be handled simultaneously which reduce communication and computing cost.
Threat Modeling of Cloud based Implementation of Homomorphic Encryptionijcisjournal
Outsourcing of data storage and data processing to cloud-based service providers promises several advantages such as reduced maintenance overhead, elastic performance, high availability, and security. Cloud services offer a variety of functionalities for performing different operations on the data. However, during the processing of data in cloud, security and privacy may be compromised because of inadequate cryptographic implementation. Conventional encryption methods guarantee security during transport (data-in-transit) and storage (data-at-rest), but cannot prevent data leak during an operation on the data (data-in-use). Modern homomorphic encryption methods promise to solve this problem by applying different operations on encrypted data without knowing or deciphering the data. Cloud-based implementation of homomorphic cryptography has
seen significant development in the recent past. However, data security, even with implemented homomorphic cryptography, is still dependant on the users and the application owners. This exposes the risk of introducing new attack surfaces. In this paper, we introduce a novel and one of the early attempts to model such new attack surfaces on the implementation of homomorphic encryption and map them to STRIDE threat model [1] which is proliferously used in the industry.
SECURE SENSITIVE DATA SHARING ON BIG DATA PLATFORMAM Publications
Big data concern extremely large volume and complex data both structured and unstructured to reveal patterns and trends .The organisation procure large data storage, data delivery on semi-trusted big data sharing platform. An enterprise can obtain huge amount of sensitive data by storing, analysing, processing these data. In digital world, keeping sensitive data secure from theft and vulnerability is very difficult .This abstract proposes a framework for secure sensitive data sharing on a big data platform using effective encryption algorithm. We present an identity based conditional proxy encryption based on heterogeneous cipher text transformation .It protects security of user’s sensitive data on big data platform.
Bio-Cryptography Based Secured Data Replication Management in Cloud StorageIJERA Editor
Cloud computing is new way of economical and efficient storage. The single data mart storage system is a less
secure because data remain under a single data mart. This can lead to data loss due to different causes like
hacking, server failure etc. If an attacker chooses to attack a specific client, then he can aim at a fixed cloud
provider, try to have access to the client’s information. This makes an easy job of the attackers, both inside and
outside attackers get the benefit of using data mining to a great extent. Inside attackers refer to malicious
employees at a cloud provider. Thus single data mart storage architecture is the biggest security threat
concerning data mining on cloud, so in this paper present the secure replication approach that encrypt based on
biocrypt and replicate the data in distributed data mart storage system. This approach involves the encryption,
replication and storage of data
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
Hybrid Cryptography security in public cloud using TwoFish and ECC algorithmIJECEIAES
Cloud computing is a structure for rendering service to the user for free or paid basis through internet facility where we can access to a bulk of shared resources which results in saving managing cost and time for large companies, The data which are stored in the data center may incur various security, damage and threat issues which may result in data leakage, insecure interface and inside attacks. This paper will demonstrate the implementation of hybrid cryptography security in public cloud by a combination of Elliptical Curve Cryptography and Twofish algorithm, which provides an innovative solution to enhance the security features of the cloud so that we can improve the service thus results in increasing the trust over the technology.
Proposed system for data security in distributed computing in using triple d...IJECEIAES
Cloud computing is considered a distributed computing paradigm in which resources are provided as services. In cloud computing, the applications do not run from a user’s personal computer but are run and stored on distributed servers on the Internet. The resources of the cloud infrastructures are shared on cloud computing on the Internet in the open environment. This increases the security problems in security such as data confidentiality, data integrity and data availability, so the solution of such problems are conducted by adopting data encryption is very important for securing users data. In this paper, a comparative study is done between the two security algorithms on a cloud platform called eyeOS. From the comparative study it was found that the Rivest Shamir Adlemen (3kRSA) algorithm outperforms that triple data encryption standard (3DES) algorithm with respect to the complexity, and output bytes. The main drawback of the 3kRSA algorithm is its computation time, while 3DES is faster than that 3kRSA. This is useful for storing large amounts of data used in the cloud computing, the key distribution and authentication of the asymmetric encryption, speed, data integrity and data confidentiality of the symmetric encryption are also important also it enables to execute required computations on this encrypted data.
ACCESSING SECURED DATA IN CLOUD COMPUTING ENVIRONMENTIJNSA Journal
Number of businesses using cloud computing has increased dramatically over the last few years due to the attractive features such as scalability, flexibility, fast start-up and low costs. Services provided over the web are ranging from using provider’s software and hardware to managing security and other issues. Some of the biggest challenges at this point are providing privacy and data security to subscribers of public cloud servers. An efficient encryption technique presented in this paper can be used for secure access to and storage of data on public cloud server, moving and searching encrypted data through communication channels while protecting data confidentiality. This method ensures data protection against both external and internal intruders. Data can be decrypted only with the provided by the data owner key, while public cloud server is unable to read encrypted data or queries. Answering a query does not depend on it size and done in a constant time. Data access is managed by the data owner. The proposed schema allows unauthorized modifications detection.
Cloud computing has become an integral part of most of the private and public organizations and being used for data storage and retrieval. There are many usage of cloud computing and widely used in highly confidential national services like military and treasury for storing confidential information. The cloud computing for example Google drive, Amazon Web Service and Microsoft Azure are beneficial for organizations and end-users. Using Cloud computing and its services, organisation/end-users can store their data. There are multiple challenges while saving organisations highly confidential documents in servers. Hence, the objective of this paper is to provide a high level design for a storage system maximising security and personal privacy. Though servers are highly protected against unauthorized access, there are incidents where confidential files stored on servers are accessed by the maintenance staffs. Hence this research paper provides introductory structure for fully protection of files stored in the server by using Hybrid Cryptosystem.
Cloud storage (CS) is gaining much popularity nowadays because it offers low-cost and convenient network storage services. In this big data era, the explosive growth in digital data moves the users towards CS to store their massive data. This explosive growth of data causes a lot of storage pressure on CS systems because a large volume of this data is redundant. Data deduplication is a most-effective data reduction technique that identifies and eliminates the redundant data. Dynamic nature of data makes security and ownership of data as a very important issue. Proof-of-ownership schemes are a robust way to check the ownership claimed by any owner. However to protect the privacy of data, many users encrypt it before storing in CS. This method affects the deduplication process because encryption methods have varying characteristics. Convergent encryption (CE) scheme is widely used for secure data deduplication, but it destroys the message equality. Although, DupLESS provides strong privacy by enhancing CE, but it is also found insufficient. The problem with the CE-based scheme is that the user can decrypt the cloud data while he has lost his ownership. This paper addresses the problem of ownership revocation by proposing a secure deduplication scheme for encrypted data. The proposed scheme enhances the security against unauthorized encryption and poison attack on the predicted set of data.
Cloud Auditing With Zero Knowledge PrivacyIJERA Editor
The Cloud computing is a latest technology which provides various services through internet. The Cloud server allows user to store their data on a cloud without worrying about correctness & integrity of data. Cloud data storage has many advantages over local data storage. User can upload their data on cloud and can access those data anytime anywhere without any additional burden. The User doesn’t have to worry about storage and maintenance of cloud data. But as data is stored at the remote place how users will get the confirmation about stored data. Hence Cloud data storage should have some mechanism which will specify storage correctness and integrity of data stored on a cloud. The major problem of cloud data storage is security .Many researchers have proposed their work or new algorithms to achieve security or to resolve this security problem. In this paper, we proposed a Shamir’s Secrete sharing algorithm for Privacy Preservation for data Storage security in cloud computing. We can achieve confidentiality, integrity and availability of the data. It supports data dynamics where the user can perform various operations on data like insert, update and delete as well as batch auditing where multiple user requests for storage correctness will be handled simultaneously which reduce communication and computing cost.
Threat Modeling of Cloud based Implementation of Homomorphic Encryptionijcisjournal
Outsourcing of data storage and data processing to cloud-based service providers promises several advantages such as reduced maintenance overhead, elastic performance, high availability, and security. Cloud services offer a variety of functionalities for performing different operations on the data. However, during the processing of data in cloud, security and privacy may be compromised because of inadequate cryptographic implementation. Conventional encryption methods guarantee security during transport (data-in-transit) and storage (data-at-rest), but cannot prevent data leak during an operation on the data (data-in-use). Modern homomorphic encryption methods promise to solve this problem by applying different operations on encrypted data without knowing or deciphering the data. Cloud-based implementation of homomorphic cryptography has
seen significant development in the recent past. However, data security, even with implemented homomorphic cryptography, is still dependant on the users and the application owners. This exposes the risk of introducing new attack surfaces. In this paper, we introduce a novel and one of the early attempts to model such new attack surfaces on the implementation of homomorphic encryption and map them to STRIDE threat model [1] which is proliferously used in the industry.
SECURE SENSITIVE DATA SHARING ON BIG DATA PLATFORMAM Publications
Big data concern extremely large volume and complex data both structured and unstructured to reveal patterns and trends .The organisation procure large data storage, data delivery on semi-trusted big data sharing platform. An enterprise can obtain huge amount of sensitive data by storing, analysing, processing these data. In digital world, keeping sensitive data secure from theft and vulnerability is very difficult .This abstract proposes a framework for secure sensitive data sharing on a big data platform using effective encryption algorithm. We present an identity based conditional proxy encryption based on heterogeneous cipher text transformation .It protects security of user’s sensitive data on big data platform.
Bio-Cryptography Based Secured Data Replication Management in Cloud StorageIJERA Editor
Cloud computing is new way of economical and efficient storage. The single data mart storage system is a less
secure because data remain under a single data mart. This can lead to data loss due to different causes like
hacking, server failure etc. If an attacker chooses to attack a specific client, then he can aim at a fixed cloud
provider, try to have access to the client’s information. This makes an easy job of the attackers, both inside and
outside attackers get the benefit of using data mining to a great extent. Inside attackers refer to malicious
employees at a cloud provider. Thus single data mart storage architecture is the biggest security threat
concerning data mining on cloud, so in this paper present the secure replication approach that encrypt based on
biocrypt and replicate the data in distributed data mart storage system. This approach involves the encryption,
replication and storage of data
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
Hybrid Cryptography security in public cloud using TwoFish and ECC algorithmIJECEIAES
Cloud computing is a structure for rendering service to the user for free or paid basis through internet facility where we can access to a bulk of shared resources which results in saving managing cost and time for large companies, The data which are stored in the data center may incur various security, damage and threat issues which may result in data leakage, insecure interface and inside attacks. This paper will demonstrate the implementation of hybrid cryptography security in public cloud by a combination of Elliptical Curve Cryptography and Twofish algorithm, which provides an innovative solution to enhance the security features of the cloud so that we can improve the service thus results in increasing the trust over the technology.
Proposed system for data security in distributed computing in using triple d...IJECEIAES
Cloud computing is considered a distributed computing paradigm in which resources are provided as services. In cloud computing, the applications do not run from a user’s personal computer but are run and stored on distributed servers on the Internet. The resources of the cloud infrastructures are shared on cloud computing on the Internet in the open environment. This increases the security problems in security such as data confidentiality, data integrity and data availability, so the solution of such problems are conducted by adopting data encryption is very important for securing users data. In this paper, a comparative study is done between the two security algorithms on a cloud platform called eyeOS. From the comparative study it was found that the Rivest Shamir Adlemen (3kRSA) algorithm outperforms that triple data encryption standard (3DES) algorithm with respect to the complexity, and output bytes. The main drawback of the 3kRSA algorithm is its computation time, while 3DES is faster than that 3kRSA. This is useful for storing large amounts of data used in the cloud computing, the key distribution and authentication of the asymmetric encryption, speed, data integrity and data confidentiality of the symmetric encryption are also important also it enables to execute required computations on this encrypted data.
ACCESSING SECURED DATA IN CLOUD COMPUTING ENVIRONMENTIJNSA Journal
Number of businesses using cloud computing has increased dramatically over the last few years due to the attractive features such as scalability, flexibility, fast start-up and low costs. Services provided over the web are ranging from using provider’s software and hardware to managing security and other issues. Some of the biggest challenges at this point are providing privacy and data security to subscribers of public cloud servers. An efficient encryption technique presented in this paper can be used for secure access to and storage of data on public cloud server, moving and searching encrypted data through communication channels while protecting data confidentiality. This method ensures data protection against both external and internal intruders. Data can be decrypted only with the provided by the data owner key, while public cloud server is unable to read encrypted data or queries. Answering a query does not depend on it size and done in a constant time. Data access is managed by the data owner. The proposed schema allows unauthorized modifications detection.
Fragmentation of Data in Large-Scale System For Ideal Performance and SecurityEditor IJCATR
Cloud computing is becoming prominent trend which offers the number of significant advantages. One of the ground laying
advantage of the cloud computing is the pay-as-per-use, where according to the use of the services, the customer has to pay. At present,
user’s storage availability improves the data generation. There is requiring farming out such large amount of data. There is indefinite
large number of Cloud Service Providers (CSP). The Cloud Service Providers is increasing trend for many number of organizations and
as well as for the customers that decreases the burden of the maintenance and local data storage. In cloud computing transferring data to
the third party administrator control will give rise to security concerns. Within the cloud, compromisation of data may occur due to
attacks by the unauthorized users and nodes. So, in order to protect the data in cloud the higher security measures are required and also
to provide security for the optimization of the data retrieval time. The proposed system will approach the issues of security and
performance. Initially in the DROPS methodology, the division of the files into fragments is done and replication of those fragmented
data over the cloud node is performed. Single fragment of particular file can be stored on each of the nodes which ensure that no
meaningful information is shown to an attacker on a successful attack. The separation of the nodes is done by T-Coloring in order to
prohibit an attacker to guess the fragment’s location. The complete data security is ensured by DROPS methodology
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 computing is the emerging trend in todays world. Cloud computing is not a separate technology, it is platform which provides platform as a service, Infrastructure as a service and Software as a service. The most important thing with cloud is that we hire everything from a third party or store our important datas in a third parties place .Here comes the major issue of how our datas are secured. In this paper, we discuss about how to protect our datas in the cloud with various cryptographic techniques. Padmapriya I | Ragini H "Cloud Cryptography" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-2 , February 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21547.pdf
Paper URL: https://www.ijtsrd.com/computer-science/computer-network/21547/cloud-cryptography/padmapriya-i
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.
A data quarantine model to secure data in edge computingIJECEIAES
Edge computing provides an agile data processing platform for latencysensitive and communication-intensive applications through a decentralized cloud and geographically distributed edge nodes. Gaining centralized control over the edge nodes can be challenging due to security issues and threats. Among several security issues, data integrity attacks can lead to inconsistent data and intrude edge data analytics. Further intensification of the attack makes it challenging to mitigate and identify the root cause. Therefore, this paper proposes a new concept of data quarantine model to mitigate data integrity attacks by quarantining intruders. The efficient security solutions in cloud, ad-hoc networks, and computer systems using quarantine have motivated adopting it in edge computing. The data acquisition edge nodes identify the intruders and quarantine all the suspected devices through dimensionality reduction. During quarantine, the proposed concept builds the reputation scores to determine the falsely identified legitimate devices and sanitize their affected data to regain data integrity. As a preliminary investigation, this work identifies an appropriate machine learning method, linear discriminant analysis (LDA), for dimensionality reduction. The LDA results in 72.83% quarantine accuracy and 0.9 seconds training time, which is efficient than other state-of-the-art methods. In future, this would be implemented and validated with ground truth data.
Security Check in Cloud Computing through Third Party Auditorijsrd.com
In cloud computing, data owners crowd their data on cloud servers and users (data consumers) can access the data from cloud servers. Due to the data outsourcing, however, it requires an independent auditing service to check the data integrity in the cloud. Some existing remote integrity checking method scan only serve for static records data. Thus, cannot be used in the auditing service since the data in the cloud can be animatedly updated. Thus, an efficient and secure dynamic auditing protocol is required to convince data owners that the data are correctly stored in the cloud. In this paper, we first design an auditing framework for cloud storage systems for privacy-preserving auditing protocol. Then, we extend our auditing protocol to support the data dynamic operations, which is efficient to secure the random model.
Mitigating the Integrity Issues in Cloud Computing Utilizing Cryptography Alg...AJASTJournal
The cloud can be created, monitored, and disseminated with slight disruption or service provider involvement. Among the most rapidly evolving phenomenon, cloud computing provides users with a variety of low-cost solutions. By putting the ideas of confidentiality, authentication, encryption techniques, non-repudiation, intrusion prevention, and effectiveness into practice, the challenge of cloud information security for computers and cloud storage security has been resolved in its totality. As cloud security has become a growing problem, cloud technology is prominent throughout many emerging disciplines of study in which a significant amount of research is conducted in this field. Each of these efforts uses a cryptography approach. Current solutions to these issues have certain important drawbacks. To protect sensitive information stored in the cloud, one needs to design programs that implement hybrid cryptographic mechanisms using challenging encryption algorithms. This research elaborates on an examination of using cryptographic techniques to mitigate the integrity problems in cloud computing.
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.
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.
Similar to IRJET- Data Security in Cloud Computing using Cryptographic Algorithms (20)
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
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.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
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.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.