Secure And Green

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The document discusses how to make security more environmentally friendly or "green". It explores making encryption and integrity checks more computationally efficient to reduce energy usage. For availability, it suggests virtualization and shared backup servers could use fewer physical resources. The challenges of securing virtual environments are also noted. Overall, the document argues that achieving security and environmental friendliness remains difficult.

Technology

Secure and Green Budi Rahardjo budi@indocisc.com

Security Goals Confidentiality Integrity Availability How to Encryption Message Authentication Code, hash function Redundancy 2010 2 BR - Secure and Green

Encryption for Confidentiality Must deliver encrypted data as soon as possible Current encryption algorithms (RSA, ECC) are computationally expensive Uses more energy! Not so green 2010 3 BR - Secure and Green

More on encryption Must be difficult to break (eg. via brute force attack) “Easier” to use (calculate), but it is still expensive in terms of computational resource usage Thus, high performance computing 2010 BR - Secure and Green 4

Green Encryption Must find algorithm that requires less computation to use (but still difficult to attack) Reuse available blocks 2010 5 BR - Secure and Green

Integrity Message Authentication Code (MAC) ensures that one bit change in data produces (significantly) different signature Implemented with hash function Hash function (relatively) computationally inexpensive Maybe green? 2010 6 BR - Secure and Green

Availability Implemented through redundancy not so green  Alternative solution Shared backup / redundant servers through virtualization? 2010 7 BR - Secure and Green

Virtual Servers Virtualization, virtual servers, combining several applications into one physical server Use less physical resources, thus green But, … it is more difficult to manage in terms of security [how about cloud computing?] 2010 8 BR - Secure and Green

Incident Handling How to make more green Centralized unified threat management (use less servers for logging and analysis) Remote forensic Things that can be done remotely At the last step, bring forensic team (if needed) 2010 9 BR - Secure and Green

Final Remarks Still difficult to achieve secure and green 2010 10 BR - Secure and Green

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Enabling efficient multi keyword ranked search over encrypted mobile cloud da...

Pvrtechnologies Nellore

Fog computing

SaikiranK15

This document summarizes a student project on implementing a lightweight fine-grained search system over encrypted data in fog computing. The proposed system aims to address limitations of existing cloud-based systems like lower bandwidth and security issues. It utilizes fog computing to distribute encrypted data across multiple fog nodes for lower latency. The system design extends cipher text-policy attribute-based encryption and searchable encryption technologies to allow fine-grained access control and keyword searches on encrypted data distributed across fog nodes. The framework is designed to support lightweight computation, conjunctive keyword searches, and dynamic attribute updates.

Audit free cloud storage via deniable attribute-based encryption

Pvrtechnologies Nellore

This document summarizes an audit-free cloud storage encryption scheme called deniable attribute-based encryption (ABE). It allows cloud storage providers to create fake user secrets to protect user privacy from outside coercion. The scheme is based on Waters ciphertext policy ABE, enhanced to use composite order bilinear groups. This enables users to provide fake secrets that seem legitimate, preventing auditors from determining the true secrets. The goal is to block coercion efforts by making them useless, as auditors cannot prove fake evidence is wrong. This protects user privacy even if cloud storage providers are compelled to hand over secrets.

A SECURE AND DYNAMIC MULTI-KEYWORD RANKED SEARCH SCHEME OVER ENCRYPTED CLOUD...

Nexgen Technology

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A secure and dynamic multi keyword ranked

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1) Cloud storage services have become popular, but user privacy is a concern as data owners do not want unauthorized access. Existing encryption schemes assume cloud providers are trusted, but they could be forced to reveal secrets. 2) The document proposes a new encryption scheme called deniable Ciphertext Policy Attribute Based Encryption (CP-ABE) that allows cloud providers to create fake user secrets, protecting real secrets even if the provider is coerced. 3) By using deniable CP-ABE, cloud providers can convince coercers that obtained secrets are genuine while actually protecting user privacy, addressing a key limitation of prior encryption schemes.

A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...

Pvrtechnologies Nellore

This document proposes a secure multi-keyword ranked search scheme over encrypted cloud data that allows for dynamic operations like deletion and insertion of documents. It constructs a special tree-based index structure and uses a "Greedy Depth-first Search" algorithm to provide efficient search. The scheme utilizes a secure kNN algorithm to encrypt index and query vectors while still allowing accurate relevance scoring between encrypted vectors. It aims to achieve sub-linear search time and flexible handling of document updates.

A secure and dynamic multi keyword ranked search scheme over encrypted cloud ...

CloudTechnologies

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Privacy preserving multi-keyword ranked search over encrypted cloud data

IGEEKS TECHNOLOGIES

This document proposes a system called privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE). Existing searchable encryption systems only support single-keyword or boolean keyword search without result ranking. The proposed MRSE system allows a user to search for multiple keywords and returns documents ranked by relevance. It establishes privacy requirements and uses an efficient "coordinate matching" semantic to quantify document similarity based on keyword matches. The system architecture includes modules for data owners to encrypt and upload files, for users to search and download encrypted files, and for ranking search results.

Search on encrypted data

SELASI OCANSEY

This document discusses cryptography and searchable encryption. It defines cryptography as the science of secret communication and encryption as the process of hiding information using ciphers and keys. It describes the different types of cryptosystems including symmetric, asymmetric, and searchable encryption. It also explains the basic concepts and algorithms involved in searchable encryption such as encryption, indexing, trapdoor generation, and searching on encrypted data without decryption. Several examples of searchable encryption schemes are provided.

Isse 2014 homomorphic encryption and porticor post event

ICT Economic Impact

EKM&HE (Elastic Key Management and Homomorphic Encryption) enables customers to securely use cloud services through advanced encryption techniques. It allows computation on encrypted data without decrypting or exposing keys. This addresses major barriers to cloud adoption by providing high data protection, compliance, and information security. EKM&HE encrypts data, splits encryption keys, and stores all keys encrypted at rest and in use. It implements homomorphic encryption of the master key to protect data during processing without performance impacts. This breakthrough technology unlocks cloud benefits while maintaining full customer control over keys and data.

Accurate and Efficient Secured Dynamic Multi-keyword Ranked Search

Dakshineshwar Swain

The document presents a project on developing an "accurate and efficient dynamic multi-keyword ranked search scheme". It aims to address issues with searching encrypted data outsourced to the cloud. The proposed system uses a tree-based index structure and "Greedy Depth-first Search" algorithm to improve search efficiency. It also utilizes TF-IDF scores to rank documents by relevance to search terms. The project aims to provide a searchable encryption scheme that supports accurate, efficient multi-keyword searches and dynamic operations on document collections.

Final 1st

gokulprema

The document proposes a system for multi-keyword ranked search over encrypted cloud data while preserving privacy. It addresses limitations in previous systems that allowed single keyword search or did not consider privacy. The proposed system uses asymmetric key encryption, a block-max index, and dynamic key generation to allow efficient retrieval of relevant encrypted data from the cloud without security breaches. It involves three parts: (1) a server that encrypts and stores data in the cloud and sends decryption keys; (2) a cloud server that handles search requests, ranks results, and responds; and (3) users that request data from the cloud server.

Technology_solution

New Research Articles - 2018 November Issue- Advanced Computing: An Internat...

acijjournal

Advanced Computing: An International Journal (ACIJ) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the advanced computing. The journal focuses on all technical and practical aspects of high performance computing, green computing, pervasive computing, cloud computing etc. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding advances in computing and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of computing.

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.

Privacy preserving multi-keyword ranked search over encrypted cloud data

Papitha Velumani

Searchable Encryption Systems

Christopher Frenz

This document discusses searchable encryption systems and the current state of data security. It covers common uses of encryption like SSL and describes limitations of early encryption methods like Yao's Garbled Circuits. The document then focuses on fully homomorphic encryption, which allows computations on encrypted data without decrypting it first. While promising, homomorphic encryption has limitations in speed and potential security issues that require more research to address.

Privacy preserving multi-keyword ranked search over encrypted cloud data

Nexgen Technology

The document proposes a solution called privacy-preserving multi-keyword ranked search over encrypted cloud data (MRSE) that allows searching encrypted data stored in the cloud using multiple keywords. It establishes privacy requirements for such a system and uses an efficient "coordinate matching" similarity measure to determine relevance between search queries and documents. It first presents a basic MRSE scheme based on secure inner product computation, then improves upon it with two schemes that achieve different privacy levels while introducing low overhead on computation and communication as shown by experiments on real-world datasets.

Secure Phrase Search for Intelligent Processing ofEncrypted Data in Cloud-Bas...

JAYAPRAKASH JPINFOTECH

Enabling efficient multi keyword ranked search over encrypted mobile cloud da...

redpel dot com

This document summarizes a research paper that proposes a new efficient multi-keyword ranked search (EMRS) scheme over encrypted mobile cloud data through blind storage. The key contributions are: 1) It introduces a relevance score to the searchable encryption scheme to enable multi-keyword ranked search over encrypted documents. It also constructs an efficient index to improve search efficiency. 2) It modifies the blind storage system to solve the trapdoor unlinkability problem and conceal the search user's access pattern from the cloud server. 3) It provides security analysis showing the EMRS can achieve confidentiality of documents/index, trapdoor privacy, unlinkability, and conceal access patterns while experiments show it improves efficiency over existing proposals.

IRJET- Secure File Storage on Cloud using Cryptography

IRJET Journal

This document summarizes a research paper that proposes a secure file storage system on the cloud using cryptography. It discusses how the proposed system would split files into multiple chunks and store them across different cloud servers in an encrypted format to preserve confidentiality, integrity, and availability of data. The document provides background on cloud computing benefits and security challenges. It then describes the proposed system's use of symmetric and asymmetric encryption algorithms like AES, DES, and RC2 to encrypt chunks before storage.

Privacy preserving multi-keyword ranked search over encrypted cloud data

IGEEKS TECHNOLOGIES

Fuzzy Keyword Search Over Encrypted Data in Cloud Computing

IJERA Editor

As Cloud Computing becomes prevalent, more and more sensitive information are being centralized into the cloud. For the protection of data privacy, sensitive data usually have to be encrypted before outsourcing, which makes effective data utilization a very challenging task. Although traditional searchable encryption schemes allow a user to securely search over encrypted data through keywords and selectively retrieve files of interest, these techniques support only exact keyword search. This significant drawback makes existing techniques unsuitable in cloud computing as it is greatly affect system usability, rendering user searching experiences very frustrating and system efficiency very low. In this paper, for the first time we formalize and solve the problem of effective fuzzy keyword search over encrypted cloud while maintaining keyword privacy. In our solution, we exploit edit distance to quantify keyword similarity and develop new advanced technique on constructing fuzzy keyword sets which greatly reduces the storage and representation overheads. In this way, we show that our proposed solution is secure and privacy preserving, while realizing the goal of fuzzy keyword search.

A Survey Paper On Data Confidentiatity And Security in Cloud Computing Using ...

IJSRD

Now days rapidly increased use of cloud computing in the many organization and IT industries and provides latest software solution with minimum cost. So the cloud computing give us number of benefits with minimum cost and of data accessibility through Internet. The ensuring security risks of the cloud computing is the main factor in the cloud computing environment, The evolving essence is Cloud computing, that is beneficial in cost effective parts, such as capability inflexible computing, decreasing the time period to market and insufficient computing power. By using the complete ability of cloud computing, data are transmitted, processed and stored on the outside cloud service providers. The fact is that, the owner of the data is feeling extremely unconfident to locate their data outer to their own control. Security and Confidentiality of data stored in the cloud are key setbacks in the area of Cloud Computing. Security and Confidentiality are the key issues for cloud storage. This paper proposes a KIST encryption algorithm to concentrate on the security and Confidentiality issues in cloud storage and also compressed cipher text data in order to protect the data stored in the cloud.

International Journal of Engineering and Science Invention (IJESI)

inventionjournals

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

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New Research Articles - 2018 November Issue- Advanced Computing: An Internat...

Survey on Privacy- Preserving Multi keyword Ranked Search over Encrypted Clou...

Privacy preserving multi-keyword ranked search over encrypted cloud data

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Privacy preserving multi-keyword ranked search over encrypted cloud data

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International Journal of Engineering and Science Invention (IJESI)

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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.

262 265

Editor IJARCET

This document summarizes various data encryption techniques for securing data in cloud computing. It discusses hybrid encryption algorithms that combine Caesar cipher, RSA, and monoalphabetic substitution. It also describes the DES algorithm and its structure. Finally, it explores identity-based encryption (IBE) where a third party generates public keys based on user identifiers like email addresses. The document concludes that data security is an important issue for cloud computing and more research is still needed to enhance security features using cryptographic techniques.

Improving Data Storage Security in Cloud using Hadoop

IJERA 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.

IRJET- An Approach for Implemented Secure Proxy Server for Multi-User Searcha...

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This document proposes a secure proxy server approach for multi-user searchable encryption without query transformation. The approach allows a proxy server to perform search operations on an encrypted database without decrypting user queries. It returns the top-k most relevant documents to user queries using Euclidean distance similarity. The proposed approach aims to improve search efficiency and accuracy compared to prior works, while maintaining security. It outlines the key concepts, notation, and structure of the proposed scheme.

An Improved Integrated Hash and Attributed based Encryption Model on High Dim...

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Cloud computing is a distributed architecture where user can store their private, public or any application software components on it. Many cloud based privacy protection solutions have been implemented, however most of them only focus on limited data resources and storage format. Data confidentiality and inefficient data access methods are the major issues which block the cloud users to store their high dimensional data. With more and more cloud based applications are being available and stored on various cloud servers, a novel multi-user based privacy protection mechanism need to design and develop to improve the privacy protection on high dimensional data. In this paper, a novel integrity algorithm with attribute based encryption model was implemented to ensure confidentiality for high dimensional data security on cloud storage. The main objective of this model is to store, transmit and retrieve the high dimensional cloud data with low computational time and high security. Experimental results show that the proposed model has high data scalability, less computational time and low memory usage compared to traditional cloud based privacy protection models.

Titles with Abstracts_2023-2024_Cloud Computing.pdf

info751436

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ijircee_Template

ijircee

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DATA SECURITY IN CLOUD USING BLOWFISH ALGORITHM

ijsrd.com

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Improved deduplication with keys and chunks in HDFS storage providers

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EXPLORING WOMEN SECURITY BY DEDUPLICATION OF DATA

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The document proposes a new deduplication system that supports endorsed duplicate check and separates the record structure and substance. It utilizes AES calculation to encrypt information for security. MD5 and sha1 calculations are utilized to recognize duplicate records. The private cloud is outfitted with mystery validation to give more prominent security. The proposed framework separates record structure and substance and underpins endorsed duplicate check to give proficient deduplication while ensuring information security in the cloud.

Crypto multi tenant an environment of secure computing using cloud sql

ijdpsjournal

Today’s most modern research area of computing is cloud comput ing due to its ability to diminish the costs associated with virtualization, high availability, dynamic resource pools and increases the efficien cy of computing. But still it contains some drawbacks such as privacy, security, etc. This paper is thorou ghly focused on the security of data of multi tenant model obtains from the virtualization feature of clo ud computing. We use AES - 128 bit algorithm and cloud SQL to protect sensitive data before storing in the cloud. When the authorized customer arises for usag e of data, then data firstly decrypted after that provides to the customer. Multi tenant infrastructure is supported by Google, which prefers pushing of contents in short iteration cycle. As the customer is distributed and their demands can arise anywhe re, anytime so data can’t store at particular site it must be available different sites also. For this f aster accessing by different users from different places Google is the best one. To get high reliability a nd availability data is stored in encrypted befor e storing in database and updated every time after usage. It is very easy to use without requiring any software. This authenticate user can recover their encrypted and decrypted data, afford efficient and data storage security in the cloud.

Role Based Access Control Model (RBACM) With Efficient Genetic Algorithm (GA)...

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This document discusses improving data security in multi-cloud storage systems. It proposes using fully homomorphic encryption to create multiple encrypted copies of user data and store them across different cloud servers. This helps prevent data loss if one server fails and reduces access times for users. The system allows authorized users to retrieve encrypted data files by requesting them from the cloud servers and getting decryption keys from the data owner. Key techniques discussed include fully homomorphic encryption, efficient measurement of information leakage between data files, and secure inner product computation to compare query vectors to encrypted data vectors.

IRJET- Improving Data Spillage in Multi-Cloud Capacity Administration

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This document discusses improving data security in multi-cloud storage systems. It proposes using fully homomorphic encryption to create multiple encrypted copies of user data files and store them across different cloud servers. This helps prevent data loss if one server fails and reduces access times for users. The system allows authorized users to retrieve encrypted files by requesting them from the cloud servers and getting decryption keys from the data owner. Key techniques discussed include fully homomorphic encryption, efficient measurement of information leakage between data files, and secure inner product computation to compare files during searches.

Seed block algorithm

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The document discusses various existing techniques for remote data backup and recovery in cloud computing such as HSDRT, PCS, ERGOT, Linux Box, and Cold/Hot backup strategies. It summarizes that while these techniques address certain aspects, they are lacking in terms of implementation complexity, cost, security, redundancy, and recovery time. The proposed Seed Block Algorithm aims to address these issues by allowing remote data collection and file recovery in the event of deletion or cloud destruction, while managing time and implementation complexity.

IRJET - Multi Authority based Integrity Auditing and Proof of Storage wit...

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This document proposes a method for secure data storage and integrity auditing in the cloud using multi-level encryption and data deduplication. The method first checks for duplicate files using hash comparisons and avoids uploading duplicate data to save storage space. It then encrypts data using AES, DES and RSA algorithms sequentially, generating keys each time. The keys are then re-encrypted using AES and stored on separate servers. This multi-level encryption and distribution of encrypted data and keys across servers makes the data more secure. It also enables proof of storage and authentication of authorized users using time-based keys.

Securely Data Forwarding and Maintaining Reliability of Data in Cloud Computing

IJERA Editor

Cloud works as an online storage servers and provides long term storage services over the internet. It is like a third party in whom we can store a data so they need data confidentiality, robustness and functionality. Encryption and encoding methods are used to solve such problems. After that divide proxy re-encryption scheme and integrating it with a decentralized erasure code such that a secure distributed storage system is formulated. The distributed storage system not only supports secure, robust data storage and retrieval but also lets the user forward his data to another user without retrieving the data. A concept of backup in same server allows users to retrieve failure data successfully in the storage server and also forward to another user without retrieving the data back. This is an attempt to provide light-weight approach which protects data access in distributed storage servers. User can implement all important concept i.e. Confidentiality for security, Robustness for healthy data, Reliability for flexible data, Availability for compulsory data will be achieved to another user which is store in cloud and easily overcome problem of “Securely data forwarding and maintaining, reliability of data in cloud computing “using different type of Methodology and Technology.

IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS Fuzzy keyword search over

IEEEMEMTECHSTUDENTPROJECTS

This document describes a proposed system for enabling effective yet privacy-preserving fuzzy keyword search in cloud computing. It formalizes the problem of fuzzy keyword search over encrypted cloud data for the first time. The system uses edit distance to quantify keyword similarity and develops two techniques - wildcard-based and gram-based - to construct efficient fuzzy keyword sets. It then proposes a symbol-based trie-traverse searching scheme to match keywords and retrieve files. Security analysis shows the solution preserves privacy while allowing fuzzy searches.

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