Attribute-based encryption (ABE) is a public-key based one-to-many encryption that allows users to encrypt and decrypt data based on user attributes.
A promising application of ABE is flexible access control of encrypted data stored in the cloud, using access polices and ascribed attributes associated with private keys and ciphertexts.One of the main efficiency drawbacks of the existing ABE schemes is that decryption involves expensive pairing operations and the number of such operations grows with the complexity of the access policy. Recently, Green et al. proposed an ABE system with outsourced decryption that largely eliminates the decryption overhead for users.
In such a system, a user provides an untrusted server, say a cloud service provider, with a transformation key that allows the cloud to translate any ABE cipher text satisfied by that user’s attributes or access policy into a simple cipher text, and it only incurs a small computational overhead for the user to recover the plaintext from the transformed cipher text.
Security of an ABE system with outsourced decryption ensures that an adversary (including a malicious cloud) will not be able to learn anything about the encrypted message; however, it does not guarantee the correctness of the transformation done by the cloud.
In this paper, we consider a new requirement of ABE with outsourced decryption: verifiability. Informally, verifiability guarantees that a user can efficiently check if the transformation is done correctly.
We give the formal model of ABE with verifiable outsourced decryption and propose a concrete scheme. We prove that our new scheme is both secure and verifiable, without relying on random oracles.
Finally, we show an implementation of our scheme and result of performance measurements, which indicates a significant reduction on computing resources imposed on users.
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Authentication on Cloud using Attribute Based EncryptionAnkit Raj
Improving Cloud Security for Authentication using Attribute Based Encryption.
Attribute-based encryption is a type of public key encryption in which the secret key of a user and the cipher text are dependent upon attributes. The decryption of a cipher text is possible only if the set of attributes of the user key matches the attributes of the cipher text. A crucial security aspect of Attribute-Based Encryption is collusion-resistance: An adversary that holds multiple keys should only be able to access data if at least one individual key grants access. Cloud computing is a type of Internet-based computing that provides shared computer processing resources and data to computers and other devices on demand. Cloud computing and storage solutions provide users and enterprises with various capabilities to store and process their data in third-party data centers that may be located far from the user–ranging in distance from across a city to across the world. There were several cases of security breach on the cloud in the past few year and data security was compromised like Adobe’s Security Breach, Amazon website failure and many security attacks like this motivated us to work on strict security measures on cloud. In such a system, a user provides an untrusted server, say a cloud service provider, with a transformation key that allows the cloud to translate any ABE cipher text satisfied by that user’s attributes into a simple cipher text, and it only incurs a small computational overhead for the user to recover the plaintext from the transformed cipher text. Security of an ABE system with outsourced decryption ensures that an adversary including a malicious cloud will not be able to learn anything about the encrypted message. The formal model of ABE with outsourced decryption forms a concrete scheme. Data owner decides the access using combinations of or policies and encrypt the file and corresponding authentic user can decrypt it using their policies.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
Attribute based encryption with verifiable outsourced decryptionIEEEFINALYEARPROJECTS
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Authentication on Cloud using Attribute Based EncryptionAnkit Raj
Improving Cloud Security for Authentication using Attribute Based Encryption.
Attribute-based encryption is a type of public key encryption in which the secret key of a user and the cipher text are dependent upon attributes. The decryption of a cipher text is possible only if the set of attributes of the user key matches the attributes of the cipher text. A crucial security aspect of Attribute-Based Encryption is collusion-resistance: An adversary that holds multiple keys should only be able to access data if at least one individual key grants access. Cloud computing is a type of Internet-based computing that provides shared computer processing resources and data to computers and other devices on demand. Cloud computing and storage solutions provide users and enterprises with various capabilities to store and process their data in third-party data centers that may be located far from the user–ranging in distance from across a city to across the world. There were several cases of security breach on the cloud in the past few year and data security was compromised like Adobe’s Security Breach, Amazon website failure and many security attacks like this motivated us to work on strict security measures on cloud. In such a system, a user provides an untrusted server, say a cloud service provider, with a transformation key that allows the cloud to translate any ABE cipher text satisfied by that user’s attributes into a simple cipher text, and it only incurs a small computational overhead for the user to recover the plaintext from the transformed cipher text. Security of an ABE system with outsourced decryption ensures that an adversary including a malicious cloud will not be able to learn anything about the encrypted message. The formal model of ABE with outsourced decryption forms a concrete scheme. Data owner decides the access using combinations of or policies and encrypt the file and corresponding authentic user can decrypt it using their policies.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
An Attribute-based Controlled Collaborative Access Control Scheme for Public ...JAYAPRAKASH JPINFOTECH
An Attribute-based Controlled Collaborative Access Control Scheme for Public Cloud Storage
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
ATTRIBUTE-BASED DATA SHARING SCHEME REVISITED IN CLOUD COMPUTING,bulk ieee pr...Nexgen Technology
NEXGEN TECHNOLOGY is an Software Research and Development Company headquartered at Pondicherry, India, posses a strong support system, a well equipped, state-of-the-art development center and a dedicated team of professionals.
Privacy preserving public auditing for regenerating code based cloud storagekitechsolutions
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Privacy Preserving Public Auditing for Data Storage Security in Cloud.pptGirish Chandra
Introducing TPA(Third Party Auditor) to the cloud.It sends the information about the data stored in the cloud.It informs the user when any unauthorized user tries to steal his data from the cloud.
Privacy preserving public auditing for regenerating-code-based cloud storageLeMeniz Infotech
Privacy preserving public auditing for regenerating-code-based cloud storage
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
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Oruta privacy preserving public auditing for shared data in the cloudNexgen Technology
Ecruitment Solutions (ECS) is one of the leading Delhi based Software Development & HR Consulting Firm, which is assessed at the level of ISO 9001:2008 standard. ECS offers an awesome project and product based solutions to many customers around the globe.
In addition, ECS has also widened its wings by the way consummating academic projects especially for the final year professional degree students in India. ECS consist of a technical team that has solved many IEEE papers and delivered world-class solutions .
Data get to control is a powerful method to guarantee the data security in the cloud. Because of information
out sourcing and un confided in cloud servers, the information get to control turns into a testing issue in cloud
storage systems. Cipher text-Policy Attribute Based Encryption (CP-ABE) is viewed as a standout amongst
the most reasonable advancements for information get to control in distributed storage, since it gives
straightforward control access to the owners. It is hard to implement the existing CP-ABE schemes to access
the information from cloud storage systems. we propose a plan to structure the information securing control in
a revocable multi-expert CP-ABE conspire from cloud storage system
Attribute Based Encryption with Privacy Preserving In Clouds Swathi Rampur
This is a ppt made by shrihari ,in this encryption with privacy preserving in clouds is described!
It will be helpfull for those who are doing projects on cloud!
An Attribute-based Controlled Collaborative Access Control Scheme for Public ...JAYAPRAKASH JPINFOTECH
An Attribute-based Controlled Collaborative Access Control Scheme for Public Cloud Storage
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
ATTRIBUTE-BASED DATA SHARING SCHEME REVISITED IN CLOUD COMPUTING,bulk ieee pr...Nexgen Technology
NEXGEN TECHNOLOGY is an Software Research and Development Company headquartered at Pondicherry, India, posses a strong support system, a well equipped, state-of-the-art development center and a dedicated team of professionals.
Privacy preserving public auditing for regenerating code based cloud storagekitechsolutions
Ki-Tech Solutions IEEE PROJECTS DEVELOPMENTS WE OFFER IEEE PROJECTS MCA FINAL YEAR STUDENT PROJECTS, ENGINEERING PROJECTS AND TRAINING, PHP PROJECTS, JAVA AND J2EE PROJECTS, ASP.NET PROJECTS, NS2 PROJECTS, MATLAB PROJECTS AND IPT TRAINING IN RAJAPALAYAM, VIRUDHUNAGAR DISTRICTS, AND TAMILNADU. Mail to: kitechsolutions.in@gmail.com
Privacy Preserving Public Auditing for Data Storage Security in Cloud.pptGirish Chandra
Introducing TPA(Third Party Auditor) to the cloud.It sends the information about the data stored in the cloud.It informs the user when any unauthorized user tries to steal his data from the cloud.
Privacy preserving public auditing for regenerating-code-based cloud storageLeMeniz Infotech
Privacy preserving public auditing for regenerating-code-based cloud storage
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
Oruta privacy preserving public auditing for shared data in the cloudNexgen Technology
Ecruitment Solutions (ECS) is one of the leading Delhi based Software Development & HR Consulting Firm, which is assessed at the level of ISO 9001:2008 standard. ECS offers an awesome project and product based solutions to many customers around the globe.
In addition, ECS has also widened its wings by the way consummating academic projects especially for the final year professional degree students in India. ECS consist of a technical team that has solved many IEEE papers and delivered world-class solutions .
Data get to control is a powerful method to guarantee the data security in the cloud. Because of information
out sourcing and un confided in cloud servers, the information get to control turns into a testing issue in cloud
storage systems. Cipher text-Policy Attribute Based Encryption (CP-ABE) is viewed as a standout amongst
the most reasonable advancements for information get to control in distributed storage, since it gives
straightforward control access to the owners. It is hard to implement the existing CP-ABE schemes to access
the information from cloud storage systems. we propose a plan to structure the information securing control in
a revocable multi-expert CP-ABE conspire from cloud storage system
Attribute Based Encryption with Privacy Preserving In Clouds Swathi Rampur
This is a ppt made by shrihari ,in this encryption with privacy preserving in clouds is described!
It will be helpfull for those who are doing projects on cloud!
A Fully Anonymous Attribute-Based Encryption to Control Cloud Data Access and...Pawan Arya
To design and implement a multi authority fully anonymous Attribute Based Encryption control scheme to address the data privacy and user identity privacy problems in cloud computing environment .
Circuit ciphertext policy attribute-based hybrid encryption with verifiable d...Shakas Technologies
In the cloud, for achieving access control and keeping data confidential, the data owners could adopt attribute-based encryption to encrypt the stored data. Users with limited computing power are however more likely to delegate the mask of the decryption task to the cloud servers to reduce the computing cost.
IEEE 2014 DOTNET NETWORKING PROJECTS A proximity aware interest-clustered p2p...IEEEMEMTECHSTUDENTPROJECTS
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CONTROL CLOUD DATA ACCESS PRIVILEGE AND ANONYMITY WITH FULLY ANONYMOUS ATTRIB...Nexgen Technology
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C Overflows Vulnerabilities Exploit Taxonomy And Evaluation on Static Analysi...Nurul Haszeli Ahmad
This is a presentation slide presented during mock viva as a requirement from IPSIS, UiTM for Post-graduate student before submitting complete thesis for viva
Identifying Cross Site Scripting Vulnerabilities in Web ApplicationsPorfirio Tramontana
Cross Site Scripting (XSS) is a vulnerability of a Web Application that is essentially caused by the failure of the application to check up on user input before returning it to the client’s web browser. Without an adequate validation, user input may include malicious code that may be sent to other clients and unexpectedly executed by their browsers, thus causing a security attack.
Techniques to prevent this type of attacks require that all application input must be checked up and filtered, encoded, or validated before sending them to any user. In order to discover the XSS vulnerabilities in a Web application, traditional source code analysis techniques can be exploited. In this paper, in order to assess the XSS vulnerability of a Web application, an approach that combines static and dynamic analysis of the Web application is presented. Static analysis based criteria have been defined to detect potential vulnerabilities in the server pages of a Web application, while a process of dynamic analysis has been proposed in order to detect actual vulnerabilities. Some case studies have been carried out, giving encouraging results.
Base Paper Abstract:
Most web applications have critical bugs (faults) affecting their security, which makes them vulnerable to attacks by hackers and organized crime. To prevent these security problems from occurring it is of utmost importance to understand the typical software faults. This paper contributes to this body of knowledge by presenting a field study on two of the most widely spread and critical web application vulnerabilities: SQL Injection and XSS. It analyzes the source code of security patches of widely used web applications written in weak and strong typed languages. Results show that only a small subset of software fault types, affecting a restricted collection of statements, is related to security. To understand how these vulnerabilities are really exploited by hackers, this paper also presents an analysis of the source code of the scripts used to attack them. The outcomes of this study can be used to train software developers and code inspectors in the detection of such faults and are also the foundation for the research of realistic
vulnerability and attack injectors that can be used to assess security mechanisms, such as intrusion detection systems, vulnerability scanners, and static code analyzers.
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Detecting Security Vulnerabilities in Web Applications Using Dynamic Analysis...Andrew Petukhov
This talk was given at OWASP AppSec Europe 2008.
Full paper can be downloaded from here:
http://www.owasp.org/images/3/3e/OWASP-AppSecEU08-Petukhov.pdf
Secure Data Sharing in Cloud Computing Using Revocable-Storage Identity-Based...Yashwanth Reddy
Presentation on Secure Data Sharing in Cloud Computing Using Revocable-Storage Identity-Based Encryption done at my college during Mini Project Review..
Hope you like it and can be thank me later..
yashkruk@gmail.com
Application of CP-ABE Scheme in Data Sharing System for confidentialityEditor IJMTER
CP-ABE Scheme (Cipher text policy attribute-based encryption) can become the
promising cryptographic solution in distributed systems such as social network s and cloud
computing. The trending development of network and computing technology enables the user to
share their data through the online social networks such as Facebook, or uploading the personal data
on Google Vault. The people are using the advantages of new technologies but they are also concern
about their personal data security. The current issue with data sharing systems is the enforcement of
access policies. CP-ABE scheme enables the encryptor to define attribute set over a universe of
attributes that a decryptor needs to decrypt the cipher text, thus each user with a different set of
attributes is allowed to different pieces of data as per the security policy.
JAVA 2013 IEEE CLOUDCOMPUTING PROJECT Attribute based encryption with verifia...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Mobile nodes in military environments like a field of battle or a hostile region ar seemingly to suffer from intermittent network property and frequent partitions. Disruption-tolerant network (DTN) technologieshave become eminent solutions that enable wireless devices carried by troopers to speak with one another and access the guidance or command faithfully by exploiting secondary storage nodes.a number of the foremost difficult problems during this state of affairs ar the social control of authorization policiesand also the policies update for secure information retrieval. Ciphertext- policy attribute-based secret writing (CP-ABE) could be a promising cryptologic resolution to the access management problems. However, the matter of applying CP-ABE in suburbanised DTNs introduces many security and privacy challenges with respect to the issued fromtotally different authorities. during this paper, we have a tendencyto propose se- cure information retrieval theme victimization CP-ABE for suburbanised DTNs wherever multiple key authorities manage their attributes severally. we have a tendency to demonstrate a way to apply the projected mechanism and with efficiency manage confidential information distributed within the disruption-tolerant military network.
JPJ1407 Expressive, Efficient, and Revocable Data Access Control for Multi-...chennaijp
We are good ieee java projects development center in chennai and pondicherry. We guided advanced java techonolgies projects of cloud computing, data mining, Secure Computing, Networking, Parallel & Distributed Systems, Mobile Computing and Service Computing (Web Service).
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PUBLIC INTEGRIYT AUDITING FOR SHARED DYNAMIC DATA STORAGE UNDER ONTIME GENERA...paperpublications3
Abstract: Nowadays verifying the result of the remote computation plays a crucial role in addressing in issue of trust. The outsourced data collection comes for multiple data sources to diagnose the originator of errors by allotting each data sources a unique secrete key which requires the inner product conformation to be performed under any two parties different keys. The proposed methods outperform AISM technique to minimize the running time. The multi-key setting is given different secrete keys, multiple data sources can be upload their data streams along with their respective verifiable homomorphic tag. The AISM consist of three novel join techniques depending on the ADS availability: (i) Authenticated Indexed Sort Merge Join (AISM), which utilizes a single ADS on the join attribute, (ii) Authenticated Index Merge Join (AIM) that requires an ADS (on the join attribute) for both relations, and (iii) Authenticated Sort Merge Join (ASM), which does not rely on any ADS. The client should allow choosing any portion in the data streams for queries. The communication between the client and server is independent of input size. The inner product evaluation can be performed by any two sources and the result can be verified by using the particular tag.
Keywords: Computation of outsourcing, Data Stream, Multiple Key, Homomorphic encryption.
Title: PUBLIC INTEGRIYT AUDITING FOR SHARED DYNAMIC DATA STORAGE UNDER ONTIME GENERATED MULTIPLE KEYS
Author: C. NISHA MALAR, M. S. BONSHIA BINU
ISSN 2350-1049
International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS)
Paper Publications
Secure Data Sharing Algorithm for Data Retrieval In Military Based NetworksIJTET Journal
Abstract— Mobile knots now armed atmospheres such equally battlefield or aggressive area remain expected toward smart after irregular net connectivity and regular panels. Disruption Tolerant Network (DTN) tools stay attractive positive keys that agree knots toward connect with each other in these dangerous interacting atmospheres.The problem of applying the security mechanisms to DTN introduces several security challenges.Since nearly handlers could modification their related characteristics by approximately argument and reliability of data should be changed otherwise around isolated secrets power remain bargained significant reversal aimed at respectively characteristic is essential in command toward create organisms safe in this research a novel approaches are used to overcome the above mentioned problems called secure data sharing algorithm. This algorithm calculate hash importance aimed at coded documents which is used to check the reliability of encrypted confidential data.
Attribute-Based Encryption for Access of Secured Data in Cloud StorageIJSRD
Cloud security is the most critical task while considering its working environment, i.e. outsourced, distributed and utility based. In such cases making the users data confidential, increases the trust over the system. Also the security procedure does not make the availability affected in any ways. The users of these kind of systems is always retained the services and securities preliminaries with respect to the data itself. As the cloud user can access its data frequently and if here some encryption is used which requires decryption and the repetitive process continues to increase the overheads. It requires some mechanism in which encryption is performed and if the user requires to perform some operations on secure file without decrypting it can be fulfilled. Thus homomorphic encryption lets the user facilitates about the performing operations on encrypted data which reduces the complexity of confidentiality operations. Also to prevent Cloud Servers from being able to learn both the data file contents and user access privilege information used to generate key along with the fastest access of secured data by using Attribute-based encryption (ABE).
Key aggregate searchable encryption (kase) for group data sharing via cloud s...CloudTechnologies
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A Framework for Periodic Outlier Pattern Detection in Time-Series SequencesKaashivInfoTech Company
Periodic pattern detection in time-ordered sequences is an important data mining task, which discovers in the time series all patterns that exhibit temporal regularities. Periodic pattern mining has a large number of applications in real life;
it helps understanding the regular trend of the data along time, and enables the forecast and prediction of future events. An interesting related and vital problem that has not received enough attention is to discover outlier periodic patterns in a time series. Outlier patterns are defined as those which are different from the rest of the patterns; outliers are not noise.
While noise does not belong to the data and it
Is mostly eliminated by preprocessing, outliers are actual instances in the data but have exceptional characteristics compared with the majority of the other instances.
Outliers are unusual patterns that rarely occur, and, thus, have lesser support (frequency of appearance) in the data. Outlier patterns may hint toward discrepancy in the data such as fraudulent transactions, network intrusion, and change in customer behavior, recession in the economy, epidemic and disease
Biomarkers, severe weather conditions like tornados, etc. We argue that detecting the periodicity of outlier patterns might be more important in many sequences than the periodicity of regular, more frequent patterns. In this paper, we present a robust and time efficient suffix tree-based algorithm capable of detecting the periodicity of outlier patterns in a time series by giving more significance to less frequent yet periodic patterns.
Several experiments have been conducted using both real and synthetic data; all aspects of the proposed approach are compared with the existing algorithm Info Miner; the reported results demonstrate the effectiveness and applicability of the proposed approach.
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Magiclock: Scalable Detection of Potential Deadlocks in Large-Scale Multithre...KaashivInfoTech Company
We present Magiclock, a novel potential deadlock detection technique by analyzing execution traces (containing no deadlock occurrence) of large-scale multithreaded programs.
Magiclock iteratively eliminates removable lock dependencies before potential deadlock localization. It divides lock dependencies into thread specific partitions, consolidates equivalent lock dependencies, and searches over the set of lock dependency chains without the need to examine any duplicated permutations of the same lock dependency chains.
We validate Magiclock through a suite of real-world, large-scale multithreaded programs.
The experimental results show that Magiclock is significantly more scalable and efficient .
Than existing dynamic detectors in analyzing and detecting potential deadlocks in execution traces of large-scale multithreaded programs..
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Cloud computing is becoming increasingly important for provision of services and storage of data in the Internet. However there are several significant challenges in securing cloud infrastructures from different types of attacks.
The focus of thisPaper is on the security services that a cloud provider can offer as part of its infrastructure to its customers (tenants) to counteract these attacks.
Our main contribution is a security architecture that provides a flexible security as a service model that a cloud provider can offer to its tenants and customers of its tenants.
Our security as a service model while offering a baseline security to the provider to protect its own cloud infrastructure also provides flexibility to tenants to have additional security functionalities that suit their security requirements.
The paper describes the design of the security architecture and discusses how different
types of attacks are counteracted by the proposed architecture.
We have implemented the security architecture and the paper discusses analysis and performance evaluation results.
Operational Data Fusion Framework for Building Frequent Land sat-Like ImageryKaashivInfoTech Company
An operational data fusion framework was built to generate dense time-series Landsat-like images by fusing MODIS data products and Landsat imagery.
The spatial and temporal adaptive reflectance fusion model (STARFM) was integrated in the framework. Compared with earlier implementations of the STARFM, several improvements have been incorporated in the operational data fusion framework.
These include viewing an- gular correction on the MODIS daily bidirectional reflectance, precise and automated coregistration on MODIS and Landsat paired images, and automatic selection of Landsat and MODIS paired dates. Three tests that use MODIS and Landsat data pairs from the same season of the same year, the same season of two different years, and different seasons from adjacent years were performed over a Landsat scene in northern India using the integrated STARFM operational framework.
The results show that the accuracy of the predicted results depends on the data consistency between the MODIS nadir bidirectional-reflectance- distribution-function-adjusted reflectance and Landsat surface reflectance on both the paired dates and the prediction dates.
When MODIS and Landsat reflectances were consistent, the max- imum difference of the predicted results for all Landsat spectral bands, except the blue band, was about 0.007 (or 5.1% relatively). However, differences were larger (0.026 in absolute and 13.8% in relative, except the blue band) when two data sources were inconsistent.
In an extreme case, the difference for blue-band reflectancewasaslargeas0.029(or39.1%relatively).Case studies focused on monitoring vegetation condition in central India and the Hindu Kush Himalayan region. In general, spatial and tem- poral landscape variation could be identified with a high level of detail from the fused data. Vegetation index trajectories derived from the fused products could be associated with specific land cover types that occur in the study regions.
The operational data fusion framework provides a feasible and cost-effective way to build dense time-series images at Landsat spatial resolution for cloudy regions.
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An understanding towards genetics and epigenetics is essential to cope up with the paradigm shift which is underway. Personalized medicine and gene therapy will confluence the days to come.
This review highlights traditional approaches as well as current advancements in the analysis of the gene expression data from cancer perspective.
Due to improvements in biometric instrumentation and automation, it has become easier to collect a lot of experimental data in molecular biology.
Analysis of such data is extremely important as it leads to knowledge discovery that can be validated by experiments. Previously, the diagnosis of complex genetic diseases has conventionally been done based on the non-molecular characteristics like kind of tumor tissue, pathological characteristics, and clinical phase.
The microarray data can be well accounted for high dimensional space and noise. Same were the reasons for ineffective and imprecise results. Several machine learning and data mining techniques are presently applied for identifying cancer using gene expression data.
While differences in efficiency do exist, none of the well-established approaches is uniformly superior to others. The quality of algorithm is important, but is not in itself a guarantee of the quality of a specific data analysis.
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CoDe Modeling of Graph Composition for Data Warehouse Report VisualizationKaashivInfoTech Company
The visualization of information contained in reports is an important aspect of human-computer interaction, for both the accuracy and the complexity of relationships between data must be preserved. A greater attention has been paid to individual report visualization through different types of standard graphs (Histograms, Pies, etc.). However, this kind of representation provides separate information items and gives no support to visualize their relationships which are extremely important for most decision processes. This paper presents a design methodology exploiting the visual language CoDe [1] based on a logic paradigm. CoDe allows to organize the visualization through the CoDe model which graphically represents relationships between information items and can be considered a conceptual map of the view. The proposed design methodology is composed of four phases: the CoDe Modelingand OLAP Operation pattern definition phases define the CoDe model and underlying metadata information, the OLAP Operation phase physically extracts data from a data warehouse and the Report Visualization phase generates the final visualization. Moreover,a case study on real data is provided.
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Traditional malware detection and analysis approaches have been focusing on code-centric aspects of malicious programs, such as detection of the injection of malicious code or matching malicious code sequences. However, modern malware has been employing advanced strategies, such as reusing legitimate code or obfuscating malware code to circumvent the detection. As a new perspective to complement code-centric approaches, we propose a data-centric OS kernel malware characterization architecture that detects and characterizes malware attacks based on the properties of data objects manipulated during the attacks. This framework consists of two system components with novel features: First, a runtime kernel object mapping system which has an un-tampered view of kernel data objects resistant to manipulation by malware. This view is effective at detecting a class of malware that hides dynamic data objects. Second, this framework consists of a new kernel malware detection approach that generates malware signatures based on the data access patterns specific to malware attacks. This approach has an extended coverage that detects not only the malware with the signatures, but also the malware variants that share the attack patterns by modeling the low level data access behaviors as signatures. Our experiments against a variety of real-world kernel root kits demonstrate the effectiveness of data-centric malware signatures.
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Contactless technologies such as RFID, NFC, and sensor networks are vulnerable to mafia and distance frauds. These frauds aim at successfully passing an authentication protocol by cheating on the actual distance between the prover and the verifier. Distance-bounding protocols have been designed to cope these security issues, but none of them properly resists to these two frauds without requiring additional memory and computation. The situation is even worse considering that just a few distance-bounding protocols are able to deal with the inherent background noise on the communication channels. This article introduces a noise-resilient distance-bounding protocol that resists to both mafia and distance frauds. The security of the protocol is analyzed against known attacks and illustrated by experimental results. The results demonstrate the significant advantage of the introduced lightweight design over the previous proposals.
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An Interoperable System for Automated Diagnosis of Cardiac Abnormalities from...KaashivInfoTech Company
Most web applications have critical bugs (faults) affecting their security, which makes them vulnerable to attacks by hackers and organized crime. To prevent these security problems from occurring it is of utmost importance to understand the typical software faults. This paper contributes to this body of knowledge by presenting a field study on two of the most widely spread and critical web application vulnerabilities: SQL Injection and XSS. It analyzes the source code of security patches of widely used web applications written in weak and strong typed languages. Results show that only a small subset of software fault types, affecting a restricted collection of statements, is related to security. To understand how these vulnerabilities are really exploited by hackers, this paper also presents an analysis of the source code of the scripts used to attack them. The outcomes of this study can be used to train software developers and code inspectors in the detection of such faults and are also the foundation for the research of realistic vulnerability and attack injectors that can be used to assess security mechanisms, such as intrusion detection systems, vulnerability scanners, and static code analyzers.
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An Interoperable System for Automated Diagnosis of Cardiac Abnormalities from...KaashivInfoTech Company
Most web applications have critical bugs (faults) affecting their security, which makes them vulnerable to attacks by hackers and organized crime. To prevent these security problems from occurring it is of utmost importance to understand the typical software faults. This paper contributes to this body of knowledge by presenting a field study on two of the most widely spread and critical web application vulnerabilities: SQL Injection and XSS. It analyzes the source code of security patches of widely used web applications written in weak and strong typed languages. Results show that only a small subset of software fault types, affecting a restricted collection of statements, is related to security. To understand how these vulnerabilities are really exploited by hackers, this paper also presents an analysis of the source code of the scripts used to attack them. The outcomes of this study can be used to train software developers and code inspectors in the detection of such faults and are also the foundation for the research of realistic vulnerability and attack injectors that can be used to assess security mechanisms, such as intrusion detection systems, vulnerability scanners, and static code analyzers.
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Localization of License Plate Number Using Dynamic Image Processing Techniq...KaashivInfoTech Company
In this research, the design of a new genetic algorithm (GA) is introduced to detect the locations of license plate (LP) symbols. An adaptive threshold method is applied to overcome the dynamic changes of illumination conditions when
Converting the image into binary. Connected component analysis technique (CCAT) is used to detect candidate objects inside the unknown image. A scale-invariant geometric relationship matrix is introduced to model the layout of symbols in any LP that simplifies system adaptability when applied in different
Countries. Moreover, two new crossover operators, based on sorting, are introduced, which greatly improve the convergence speed of the system. Most of the CCAT problems, such as touching or broken bodies, are minimized by modifying the GA to perform partial match until reaching an acceptable fitness
Value. The system is implemented using MATLAB and various image samples are experimented with to verify the distinction of the proposed system. Encouraging results with 98.4% overall accuracy are reported for two different datasets having variability in orientation, scaling, plate location, illumination, and complex
Background. Examples of distorted plate images are successfully detected due to the independency on the shape, color, or location of the plate.
Index Terms-Genetic algorithms (GAs), image processing, image representations, license plate detection, machine vision, road vehicle identification, sorting crossover.
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EMAP Expedite Message Authentication Protocol for Vehicular Ad Hoc NetworksKaashivInfoTech Company
Vehicular ad hoc networks (VANETs) adopt the Public Key Infrastructure (PKI) and Certificate Revocation Lists (CRLs) for their security. In any PKI system, the authentication of a received message is performed by checking if the certificate of the sender is included in the current CRL, and verifying the authenticity of the certificate and signature of the sender. In this paper, we propose an Expedite Message Authentication Protocol (EMAP) for VANETs, which replaces the time-consuming CRL checking process by an efficient revocation checking process. The revocation check process in EMAP uses a keyed Hash Message Authentication Code ðHMACÞ, where the key used in calculating theHMAC is shared only between nonrevoked On-Board Units (OBUs). In addition, EMAP uses a novel probabilistic key distribution, which enables nonrevoked OBUs to securely share and update a secret key. EMAP can significantly decrease the message loss ratio due to the message verification delay compared with the conventional authentication methods employing CRL. By conducting security analysis and performance evaluation, EMAP is demonstrated to be secure and efficient.
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A New Algorithm for Inferring User Search Goals with Feedback SessionsKaashivInfoTech Company
• Information Surfing is one of the vital phenomenon in today’s world. Users prefer to surf internet by their queries to clarify their known uncertain information.
• Search engines does not often bring the user required information and does not fulfill the request completely. Hence it is necessary to infer and mine user specific interest about a topic.
• Providing results just based on user’s previous search history does not yield fruitful results since the self feedback and repeatable feedback were not included in the existing system.
• Hence our proposed approach considers vigorous user feedback to provide accurate search specific results and to increase the performance of the This feedback is captured for all relevant URL that matches the search query using Classified Average Precision algorithm to yield accurate web search results.
• search engine.
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Traffic Pattern-Based Content Leakage Detection for Trusted Content Delivery...KaashivInfoTech Company
In the of a series of packets, and every e-mail get transfers as a series of packets. world of Networks, Everything on the Internet involves packets. Web page constitute
In the existing methodology, a monitoring system has been designed for tracing the packet transfer between the source and destination.
A strategy of pattern matching has been utilized to monitor the source and destination content for its originality based on the water marking security concepts.
In the proposed methodology, the monitoring system has been designed with leakage analyser for checking the intrusion or leakage of packets between the transfer of source to destination.
A security based packet tracing has been designed and the performance of the monitoring system has been visualized graphically.
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Attributes based encryption with verifiable outsourced decryption
1. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND
SECURITY, VOL.8, NO.8, JULY 2014.
Attributes based encryption with verifiable outsourced decryption
2. Abstract
Attribute-based encryption (ABE) is a public-key based one-to-many encryption that allows
users to encrypt and decrypt data based on user attributes.
A promising application of ABE is flexible access control of encrypted data stored in the cloud,
using access polices and ascribed attributes associated with private keys and ciphertexts.One of
the main efficiency drawbacks of the existing ABE schemes is that decryption involves expensive
pairing operations and the number of such operations grows with the complexity of the access
policy.
Recently, Green et al. proposed an ABE system with outsourced decryption that largely
eliminates the decryption overhead for users.
In such a system, a user provides an untrusted server, say a cloud service provider, with a
transformation key that allows the cloud to translate any ABE cipher text satisfied by that user’s
attributes or access policy into a simple cipher text, and it only incurs a small computational
overhead for the user to recover the plaintext from the transformed cipher text.
Security of an ABE system with outsourced decryption ensures that an adversary (including a
malicious cloud) will not be able to learn anything about the encrypted message; however, it does
not guarantee the correctness of the transformation done by the cloud. In this paper, we consider
a new requirement of ABE with outsourced decryption: verifiability. Informally, verifiability
guarantees that a user can efficiently check if the transformation is done correctly.
We give the formal model of ABE with verifiable outsourced decryption and propose a concrete
scheme. We prove that our new scheme is both secure and verifiable, without relying on random
oracles. Finally, we show an implementation of our scheme and result of performance
measurements, which indicates a significant reduction on computing resources imposed on
users.
3. Proposed System
In the proposed system the evaluation and accuracy of the attributes
are traced in order to provide better encryption/decryption strategy
while transferring data from source to destination.
The generation of the public and private key using the attributes and
master key with proxies and access structure attributes are same as the
existing system.
The combination of the public and private key generates the message.
The verification of the outsourced decryption are also made using the
combination of private key and parameter attribute that generates the
transform and retrieve key similarly as the existing system.
Additionally the concept of proxy verification are made since the
proxies are intermediate between the source and the destination. The
validation are made using the private key check with the proxies and
the source.
The attribute used are checked for its uniqueness so as to avoid the
same attribute for the common parametric data.
the encryption of data are validated using the public. Hence this
system overcomes the drawback of the existing system.
4. Existing System
In the existing system the concepts of attribute based encryption and
verifiable outsourced decryption is formulated to transfer a data from
source to destination.
There are two keys such as private and public key are evolved. And the
combination of the keys generates the message that has to transfer from
one end to other.
The attributes of the data as well as the master secret key are analyzed by
the proxies so as to generate a private key.
The attributes of the data as well as the master key are encrypted directly
by access structure attribute so as to generate a public key.
The encrypted message has to decrypt and the decrypted information
should checked with the original data in order to ensure the originality
after the encryption/decryption process.
Hence the combination of private key with parameter attributes
generates transform and retrieve key.
Where transform key generates partial cipher key that has to passed to
the retrieve key so as to generated the original message.
The main drawback over the existing system is that there is no proper
verification with the proxies. And the attributes considered to frame the
message are not unique in case of common parametric data.
5. System Requirements
Hardware Requirements:
System : Pentium IV and above.
Hard Disk : 40 GB or Above.
Monitor : VGA and High resolution monitor
Mouse : Logitech.
Ram : 1 GB or Above
Software Requirements:
Operating system : Windows VISTA or Above.
Front End : Microsoft Visual Studio 2010
(.NetFramework 4.0)
Coding Language : C#
Backend : SQL Server 2008 R2