bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
This document describes a proposed cloud-based system for protecting multimedia content from unauthorized copying. The key components of the system include a crawler to download content from online sites, a novel signature method for creating fingerprints of 3D videos that captures depth signals, and a distributed matching engine that stores signatures and matches them against queries in a scalable way. The system was tested on over 11,000 3D videos and 1 million images across private and public clouds. Experiments showed the system achieved high accuracy in detecting copies while also being scalable.
We propose a new design for large-scale multimedia content protection systems. Our design leverages cloud infrastructures to provide cost efficiency, rapid deployment, scalability, and elasticity to accommodate varying workloads
We propose a new design for large-scale multimedia content protection systems.
The proposed system can be used to protect different multimedia content types, including 2-D videos, 3-D videos, images, audio clips, songs, and music clips.
The system can be deployed on private and/or public clouds. Our system has two novel components: (i) method to create signatures of 3-D videos, and (ii) distributed matching engine for multimedia objects.
Cloud based mobile multimedia recommendation system with user behavior inform...ieeepondy
This document proposes a cloud-based mobile multimedia recommendation system that reduces network overhead and speeds up the recommendation process. It classifies users into groups based on their context to avoid collecting unnecessary context details. User contexts, relationships, and profiles are collected from video sites and used with Hadoop to generate recommendation rules. When a new request arrives, the rules are optimized in real-time to provide a personalized recommendation with high precision, high recall, and low delay.
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS Web image re ranking using query-sp...IEEEMEMTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Towards secure & dependable storage services in cloudRahid Abdul Kalam
The document presents a proposal for a distributed storage system that provides secure and dependable storage services in cloud computing by utilizing lightweight communication and computation to ensure data integrity and allow for dynamic operations while being resilient to various attacks. It discusses issues with existing replication-based systems and third party auditing and proposes a system that can detect misbehaving servers, requires approval for data manipulation, allocates an agent for supervision, and provides unique tokens to clients for security. The system requirements include a Pentium IV processor, 256MB RAM, 20GB hard disk, Windows OS, Eclipse IDE, Java platform, and MS SQL database.
This document describes a proposed cloud-based system for protecting multimedia content from unauthorized copying. The key components of the system include a crawler to download content from online sites, a novel signature method for creating fingerprints of 3D videos that captures depth signals, and a distributed matching engine that stores signatures and matches them against queries in a scalable way. The system was tested on over 11,000 3D videos and 1 million images across private and public clouds. Experiments showed the system achieved high accuracy in detecting copies while also being scalable.
We propose a new design for large-scale multimedia content protection systems. Our design leverages cloud infrastructures to provide cost efficiency, rapid deployment, scalability, and elasticity to accommodate varying workloads
We propose a new design for large-scale multimedia content protection systems.
The proposed system can be used to protect different multimedia content types, including 2-D videos, 3-D videos, images, audio clips, songs, and music clips.
The system can be deployed on private and/or public clouds. Our system has two novel components: (i) method to create signatures of 3-D videos, and (ii) distributed matching engine for multimedia objects.
Cloud based mobile multimedia recommendation system with user behavior inform...ieeepondy
This document proposes a cloud-based mobile multimedia recommendation system that reduces network overhead and speeds up the recommendation process. It classifies users into groups based on their context to avoid collecting unnecessary context details. User contexts, relationships, and profiles are collected from video sites and used with Hadoop to generate recommendation rules. When a new request arrives, the rules are optimized in real-time to provide a personalized recommendation with high precision, high recall, and low delay.
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS Web image re ranking using query-sp...IEEEMEMTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Towards secure & dependable storage services in cloudRahid Abdul Kalam
The document presents a proposal for a distributed storage system that provides secure and dependable storage services in cloud computing by utilizing lightweight communication and computation to ensure data integrity and allow for dynamic operations while being resilient to various attacks. It discusses issues with existing replication-based systems and third party auditing and proposes a system that can detect misbehaving servers, requires approval for data manipulation, allocates an agent for supervision, and provides unique tokens to clients for security. The system requirements include a Pentium IV processor, 256MB RAM, 20GB hard disk, Windows OS, Eclipse IDE, Java platform, and MS SQL database.
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
This document proposes a self-assured deduplication system for authorized deduplication in a hybrid cloud. The system uses convergent encryption to encrypt data before uploading it to the public cloud while allowing for deduplication. A private cloud server manages the private keys and generates file tokens to allow authorized duplicate checking on the public cloud. The proposed system was implemented as a prototype and experiments show it incurs minimal overhead compared to normal operations like encryption and uploading.
Image Based Relational Database Watermarking: A Surveyiosrjce
This document summarizes and analyzes several existing image-based relational database watermarking techniques. It begins with background on database watermarking, including applications, classifications of techniques, desired characteristics of watermarked databases, and types of attacks. It then reviews four specific algorithms that embed image watermarks into database attributes. The algorithms are analyzed for robustness against different attacks like modification, deletion and addition of tuples. The document concludes various image-based techniques are effective for copyright protection and survive attacks while preserving data integrity.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document discusses big data security issues and encryption techniques. It begins with introducing the authors and providing an abstract about addressing security issues related to data integrity, confidentiality and availability. The main body then covers authentication, data, network and generic security challenges with big data as well as proposed solutions like encryption, logging and honeypot nodes. The document focuses on describing symmetric and asymmetric encryption algorithms including DES, AES, RSA and ECC. It compares the algorithms and concludes that encryption techniques can help secure big data stored in clouds, though current security levels may be improved.
An Stepped Forward Security System for Multimedia Content Material for Cloud ...IRJET Journal
The document discusses a proposed system for securing multimedia content on cloud infrastructures. The system uses a two-level approach: 1) generating signatures for 3D videos to robustly represent them with little storage, and 2) a distributed matching engine for scalably storing and matching signatures of original and query objects. The system was tested on over 11,000 3D videos and 1 million images, achieving high accuracy and scalability when deployed on Amazon cloud resources.
iaetsd Controlling data deuplication in cloud storageIaetsd Iaetsd
This document discusses controlling data deduplication in cloud storage. It proposes an architecture that provides duplicate check procedures with minimal overhead compared to normal cloud storage operations. The key aspects of the proposed system are:
1) It uses convergent encryption to encrypt data for privacy while still allowing for deduplication of duplicate files.
2) It introduces a private cloud that manages user privileges and generates tokens for authorized duplicate checking in a hybrid cloud architecture.
3) It evaluates the overhead of the proposed authorized duplicate checking scheme and finds it incurs negligible overhead compared to normal cloud storage operations.
Lsb hiding using random approach for image watermarkingeSAT Journals
Abstract A digital image watermarking is the process of embedding an image with a secondary parameter called watermark, without deterioration in the quality of image to provide copyright protection means to provide protection for intellectual property from illegal copying. In this paper the method of nested digital image watermarking is used that means a watermark inside another watermark embedded into the cover image that is the main image. Here the Randomized LSB hiding algorithm is used for embedding one image into another as it has lesser complexity and the approach is more robust to the variations in the type of image. The blowfish algorithm is used to encrypt the watermark image before embedding into the cover image. The concept of encryption of watermark image before get embedded into the main image is used here to increase the security of the watermark image. This is because the research work is mainly focus on to get the more secured watermark by improving and enhancing the embedding capacity. Key Words: Digital image Watermarking, Randomized LSB, Blowfish, Copyright Protection
This document discusses a randomized LSB hiding approach for nested digital image watermarking. It proposes encrypting one watermark image using Blowfish before embedding it into another watermark image using randomized LSB hiding. This nested watermark is then encrypted again using Blowfish before being embedded into the cover image for increased security. Randomized LSB hiding is used for embedding as it has lower complexity and is more robust than direct LSB hiding. The approach aims to improve security and embedding capacity for copyright protection of digital images.
This document discusses using Hidden Markov Model (HMM) forward chaining techniques for prefetching in distributed file systems (DFS) for cloud computing. It begins by introducing DFS for cloud storage and issues like load balancing. It then discusses using HMM to analyze client I/O and predict future requests to prefetch relevant data. The HMM forward algorithm would be used to prefetch data from storage servers to clients proactively. This could improve performance by reducing client wait times for requested data in DFS for cloud applications.
Micro services Architecture with Vortex -- Part IAngelo Corsaro
Microservice Architectures — which are the norm in some domains — have recently received lots of attentions in general computing and are becoming the mainstream architectural style to develop distributed systems. As suggested by the name, the main idea behind micro services is to decompose complex applications in, small, autonomous and loosely coupled processes communicating through a language and platform independent API. This architectural style facilitates a modular approach to system-building.
This webcast will (1) introduce the main principles of the Microservice Architecture, (2) showcase how the Global Data Space abstraction provided by Vortex ideally support thee microservices architectural pattern, and (3) walk you through the design and implementation of a micro service application for a real-world use case.
IRJET- Improving Data Spillage in Multi-Cloud Capacity AdministrationIRJET Journal
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.
Enhancing Privacy in Cloud Service Provider Using Cryptographic AlgorithmIOSR Journals
This document discusses enhancing privacy in cloud service providers using cryptographic algorithms. It proposes using the RSA algorithm to provide data storage security. The RSA algorithm provides important security services like key generation, encryption, and decryption in cloud computing systems. It discusses how RSA works, including generating a public/private key pair, encrypting data with the public key, and decrypting with the private key. This ensures only authorized users can access encrypted data stored in the cloud. The document concludes RSA provides secure storage and management of data in the cloud.
Internet is the networking infrastructure which helps in connecting many users through interconnected networks through which users can communicate to each other. The World Wide Web is built on top of the internet to share information. The grid is again a service that is built on top of internet but is able to share computational power, databases, disk storage and software applications. The paper mainly focuses on significance Grid computing, its architecture, the grid middleware Globus toolkit and wireless grid computing.
Cloud computing is an internet-based computing technology, where shared re-sources
such as software, platform, storage and information are provided to customers on demand.
Cloud computing is a computing platform for sharing resources that include infrastructures,
software, applications, and business processes. The exact definition of cloud computing is A
large-scale distributed computing paradigm that is driven by economies of scale, in which a
pool of abstracted, virtualized, dynamically scalable, managed computing power, storage,
platforms, and services are delivered on demand to external customers over the Internet .
SECURING DIGITAL IMAGES USING WATERMARKING TECHNIQUE AND TRIPLE DES ALGORITHMJournal For Research
Multimedia security is very important issue for the today's internet technology because of duplication, distribution and exchanging if multimedia data. Digital watermarking is the method of shielding digital data in multimedia.Multimedia consist of image, audio, video, text, etc. In watermarking the secret information are implanted into the original data for protecting the ownership rights of the multimedia data. Basically watermarking has three domains.1) Spatial domain 2) Transform domain 3) Wavelet domain. This paper consist Discrete Cosine Transform which is the frequency domain works on the transform coefficient of the image. Three different keys are generated using Triple DES algorithm.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This seminar was presented by Jessica Man from CW Partners. The content was great and it presented how to valuate your business in anticipation of retiring and exiting.
BizON had the pleasure of attending and wanted to share this presentation with you. If you have any questions please do not hesitate to contact us.
This document summarizes a seminar on complex legal and financial challenges related to business succession and family transitions. The agenda includes presentations from Key Bank on business succession strategies, Gallagher, Flynn & Co. on tax planning opportunities, and Dinse, Knapp & McAndrew on the legal aspects. It also includes a lunch presentation from the Mount Family on their business transition experience. The document then provides more details on various succession strategies and considerations, as well as an overview of financial planning processes and tax planning opportunities.
An employee's invention is owned by one of three parties: the inventor, the employer, or both jointly. The inventor owns the invention if they were not hired specifically to invent, the invention was unrelated to their job duties, and there is no agreement assigning ownership to the employer. The employer owns the invention if the inventor was hired to invent, the invention relates to their work, or there is an agreement giving ownership to the employer. If neither of these apply, the employer has a non-exclusive right to use the invention, known as "shop rights."
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
This document proposes a self-assured deduplication system for authorized deduplication in a hybrid cloud. The system uses convergent encryption to encrypt data before uploading it to the public cloud while allowing for deduplication. A private cloud server manages the private keys and generates file tokens to allow authorized duplicate checking on the public cloud. The proposed system was implemented as a prototype and experiments show it incurs minimal overhead compared to normal operations like encryption and uploading.
Image Based Relational Database Watermarking: A Surveyiosrjce
This document summarizes and analyzes several existing image-based relational database watermarking techniques. It begins with background on database watermarking, including applications, classifications of techniques, desired characteristics of watermarked databases, and types of attacks. It then reviews four specific algorithms that embed image watermarks into database attributes. The algorithms are analyzed for robustness against different attacks like modification, deletion and addition of tuples. The document concludes various image-based techniques are effective for copyright protection and survive attacks while preserving data integrity.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document discusses big data security issues and encryption techniques. It begins with introducing the authors and providing an abstract about addressing security issues related to data integrity, confidentiality and availability. The main body then covers authentication, data, network and generic security challenges with big data as well as proposed solutions like encryption, logging and honeypot nodes. The document focuses on describing symmetric and asymmetric encryption algorithms including DES, AES, RSA and ECC. It compares the algorithms and concludes that encryption techniques can help secure big data stored in clouds, though current security levels may be improved.
An Stepped Forward Security System for Multimedia Content Material for Cloud ...IRJET Journal
The document discusses a proposed system for securing multimedia content on cloud infrastructures. The system uses a two-level approach: 1) generating signatures for 3D videos to robustly represent them with little storage, and 2) a distributed matching engine for scalably storing and matching signatures of original and query objects. The system was tested on over 11,000 3D videos and 1 million images, achieving high accuracy and scalability when deployed on Amazon cloud resources.
iaetsd Controlling data deuplication in cloud storageIaetsd Iaetsd
This document discusses controlling data deduplication in cloud storage. It proposes an architecture that provides duplicate check procedures with minimal overhead compared to normal cloud storage operations. The key aspects of the proposed system are:
1) It uses convergent encryption to encrypt data for privacy while still allowing for deduplication of duplicate files.
2) It introduces a private cloud that manages user privileges and generates tokens for authorized duplicate checking in a hybrid cloud architecture.
3) It evaluates the overhead of the proposed authorized duplicate checking scheme and finds it incurs negligible overhead compared to normal cloud storage operations.
Lsb hiding using random approach for image watermarkingeSAT Journals
Abstract A digital image watermarking is the process of embedding an image with a secondary parameter called watermark, without deterioration in the quality of image to provide copyright protection means to provide protection for intellectual property from illegal copying. In this paper the method of nested digital image watermarking is used that means a watermark inside another watermark embedded into the cover image that is the main image. Here the Randomized LSB hiding algorithm is used for embedding one image into another as it has lesser complexity and the approach is more robust to the variations in the type of image. The blowfish algorithm is used to encrypt the watermark image before embedding into the cover image. The concept of encryption of watermark image before get embedded into the main image is used here to increase the security of the watermark image. This is because the research work is mainly focus on to get the more secured watermark by improving and enhancing the embedding capacity. Key Words: Digital image Watermarking, Randomized LSB, Blowfish, Copyright Protection
This document discusses a randomized LSB hiding approach for nested digital image watermarking. It proposes encrypting one watermark image using Blowfish before embedding it into another watermark image using randomized LSB hiding. This nested watermark is then encrypted again using Blowfish before being embedded into the cover image for increased security. Randomized LSB hiding is used for embedding as it has lower complexity and is more robust than direct LSB hiding. The approach aims to improve security and embedding capacity for copyright protection of digital images.
This document discusses using Hidden Markov Model (HMM) forward chaining techniques for prefetching in distributed file systems (DFS) for cloud computing. It begins by introducing DFS for cloud storage and issues like load balancing. It then discusses using HMM to analyze client I/O and predict future requests to prefetch relevant data. The HMM forward algorithm would be used to prefetch data from storage servers to clients proactively. This could improve performance by reducing client wait times for requested data in DFS for cloud applications.
Micro services Architecture with Vortex -- Part IAngelo Corsaro
Microservice Architectures — which are the norm in some domains — have recently received lots of attentions in general computing and are becoming the mainstream architectural style to develop distributed systems. As suggested by the name, the main idea behind micro services is to decompose complex applications in, small, autonomous and loosely coupled processes communicating through a language and platform independent API. This architectural style facilitates a modular approach to system-building.
This webcast will (1) introduce the main principles of the Microservice Architecture, (2) showcase how the Global Data Space abstraction provided by Vortex ideally support thee microservices architectural pattern, and (3) walk you through the design and implementation of a micro service application for a real-world use case.
IRJET- Improving Data Spillage in Multi-Cloud Capacity AdministrationIRJET Journal
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.
Enhancing Privacy in Cloud Service Provider Using Cryptographic AlgorithmIOSR Journals
This document discusses enhancing privacy in cloud service providers using cryptographic algorithms. It proposes using the RSA algorithm to provide data storage security. The RSA algorithm provides important security services like key generation, encryption, and decryption in cloud computing systems. It discusses how RSA works, including generating a public/private key pair, encrypting data with the public key, and decrypting with the private key. This ensures only authorized users can access encrypted data stored in the cloud. The document concludes RSA provides secure storage and management of data in the cloud.
Internet is the networking infrastructure which helps in connecting many users through interconnected networks through which users can communicate to each other. The World Wide Web is built on top of the internet to share information. The grid is again a service that is built on top of internet but is able to share computational power, databases, disk storage and software applications. The paper mainly focuses on significance Grid computing, its architecture, the grid middleware Globus toolkit and wireless grid computing.
Cloud computing is an internet-based computing technology, where shared re-sources
such as software, platform, storage and information are provided to customers on demand.
Cloud computing is a computing platform for sharing resources that include infrastructures,
software, applications, and business processes. The exact definition of cloud computing is A
large-scale distributed computing paradigm that is driven by economies of scale, in which a
pool of abstracted, virtualized, dynamically scalable, managed computing power, storage,
platforms, and services are delivered on demand to external customers over the Internet .
SECURING DIGITAL IMAGES USING WATERMARKING TECHNIQUE AND TRIPLE DES ALGORITHMJournal For Research
Multimedia security is very important issue for the today's internet technology because of duplication, distribution and exchanging if multimedia data. Digital watermarking is the method of shielding digital data in multimedia.Multimedia consist of image, audio, video, text, etc. In watermarking the secret information are implanted into the original data for protecting the ownership rights of the multimedia data. Basically watermarking has three domains.1) Spatial domain 2) Transform domain 3) Wavelet domain. This paper consist Discrete Cosine Transform which is the frequency domain works on the transform coefficient of the image. Three different keys are generated using Triple DES algorithm.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This seminar was presented by Jessica Man from CW Partners. The content was great and it presented how to valuate your business in anticipation of retiring and exiting.
BizON had the pleasure of attending and wanted to share this presentation with you. If you have any questions please do not hesitate to contact us.
This document summarizes a seminar on complex legal and financial challenges related to business succession and family transitions. The agenda includes presentations from Key Bank on business succession strategies, Gallagher, Flynn & Co. on tax planning opportunities, and Dinse, Knapp & McAndrew on the legal aspects. It also includes a lunch presentation from the Mount Family on their business transition experience. The document then provides more details on various succession strategies and considerations, as well as an overview of financial planning processes and tax planning opportunities.
An employee's invention is owned by one of three parties: the inventor, the employer, or both jointly. The inventor owns the invention if they were not hired specifically to invent, the invention was unrelated to their job duties, and there is no agreement assigning ownership to the employer. The employer owns the invention if the inventor was hired to invent, the invention relates to their work, or there is an agreement giving ownership to the employer. If neither of these apply, the employer has a non-exclusive right to use the invention, known as "shop rights."
Book My great love for jesus led me to islam simon alfredo caraballo PDFslideshare account
The document provides background on the author's journey from Catholicism to Islam. It discusses his childhood experiences with Catholic teachings and rituals. It then describes his experiences in the US where he was exposed to Muslims praying and learned about comparisons between Islam and Christianity. The author notes the Gospels were written decades after Jesus by unknown authors, raising questions about accuracy, while the Quran was directly revealed to Muhammad.
Current IT Software Eng for internship levelTyrone Atkins
Tyrone Atkins is a software engineer and CAD designer with over 20 years of experience in C#, .NET, Java, AutoCAD, MicroStation, and Revit. He has worked on projects for various transportation and government agencies, developing applications and automated drawing processes. Atkins has a Bachelor's degree in Information Technology and a Master's degree in Information Systems.
The document provides information on various marketing and communication materials for Mosaic, a company that produces crop nutrients. It includes:
- Website content, banners, and graphics for Mosaic's external and employee websites to share news, stories, and updates.
- Safety campaign collateral in multiple languages promoting safe work practices to prevent falling objects, including posters, flyers, and displays.
- Advertisements highlighting Mosaic's commitment to safety, environmental stewardship, and supporting communities.
- Annual report announcement, HR communications about benefits enrollment, and other materials reinforcing Mosaic's mission to help the world grow food.
Royan Corda is seeking a position with a dynamic organization to contribute value and help the organization grow. He has a Bachelor's degree in Mechanical Engineering with 69% and has experience working at Suzlon Energy Blades and SHRI PILLAR GANESH CONTAINERS. Additionally, he has certifications in NDT Level 2 and QA/QC and completed an internship focusing on non-destructive testing of welded pipes. His skills include mechanical engineering, maintenance, and speaking several languages.
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The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
Theoretical work submitted to the Journal should be original in its motivation or modeling structure. Empirical analysis should be based on a theoretical framework and should be capable of replication. It is expected that all materials required for replication (including computer programs and data sets) should be available upon request to the authors.
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Similar to Cloud-Based Multimedia Content Protection System (20)
Data Division in Cloud for Secured Data Storage using RSA Algorithm
Cloud-Based Multimedia Content Protection System
1. CLOUD-BASED MULTIMEDIA CONTENT PROTECTION
SYSTEM
Abstract—We propose a new design for large-scale multimedia content protection
systems. Our design leverages cloud infrastructures to provide cost efficiency,
rapid deployment, scalability, and elasticity to accommodate varying workloads.
The proposed system can be used to protect different multimedia content types,
including 2-D videos, 3-D videos, images, audio clips, songs, and music clips. The
system can be deployed on private and/or public clouds. Our system has two novel
components: (i) method to create signatures of 3-D videos, and (ii) distributed
matching engine for multimedia objects. The signature method creates robust and
representative signatures of 3-D videos that capture the depth signals in these
videos and it is computationally efficient to compute and compare as well as it
requires small storage. The distributed matching engine achieves high scalability
and it is designed to support different multimedia objects. We implemented the
proposed system and deployed it on two clouds: Amazon cloud and our private
cloud. Our experiments with more than 11,000 3-D videos and 1 million images
show the high accuracy and scalability of the proposed system. In addition, we
compared our system to the protection system used by YouTube and our results
show that the YouTube protection system fails to detect most copies of 3-D videos,
2. while our system detects more than 98% of them. This comparison shows the need
for the proposed 3-D signature method, since the state-of-the-art commercial
system was not able to handle 3-D videos
EXISTING SYSTEM:
The problem of protecting various types of multimedia content has attracted
significant attention from academia and industry. One approach to this problem is
using watermarking, in which some distinctive information is embedded in the
content itself and a method is used to search for this information in order to verify
the authenticity of the content. Watermarking requires inserting watermarks in the
multimedia objects before releasing them as well as mechanisms/systems to find
objects and verify the existence of correct watermarks in them. Thus, this approach
may not be suitable for already-released content without watermarks in them. The
watermarking approach is more suitable for the somewhat controlled
environments, such as distribution of multimedia content on DVDs or using special
sites and custom players. Watermarking may not be effective for the rapidly
increasing online videos, especially those uploaded to sites such as YouTube and
played back by any video player. Watermarking is not the focus of this paper. The
focus of this paper is on the other approach for protecting multimedia content,
3. which is content-based copy detection (CBCD). In this approach, signatures (or
fingerprints) are extracted from original objects. Signatures are also created from
query (suspected) objects downloaded from online sites. Then, the similarity is
computed between original and suspected objects to find potential copies. Many
previous works proposed different methods for creating and matching signatures.
These methods can be classified into four categories: spatial, temporal, color, and
transform-domain. Spatial signatures (particularly the block-based) are the most
widely used. However, their weakness is the lack of resilience against large
geometric transformations. Temporal and color signatures are less robust and can
be used to enhance spatial signatures. Transform-domain signatures are
computationally intensive and not widely used in practice. For more details, see
surveys for audio fingerprinting and 2-D video fingerprinting.
PROPOSED SYSTEM:
The proposed system is fairly complex with multiple components, including: (i)
crawler to download thousands of multimedia objects from online hosting sites, (ii)
signature method to create representative fingerprints from multimedia objects, and
(iii) distributed matching engine to store signatures of original objects and match
them against query objects. We propose novel methods for the second and third
4. components, and we utilize off-the-shelf tools for the crawler. We have developed
a complete running system of all components and tested it with more than 11,000
3-D videos and 1 million images. We deployed parts of the system on the Amazon
cloud with varying number of machines (from eight to 128), and the other parts of
the system were deployed on our private cloud. This deployment model was used
to show the flexibility of our system, which enables it to efficiently utilize varying
computing resources and minimize the cost, since cloud providers offer different
pricing models for computing and network resources. Through extensive
experiments with real deployment, we show the high accuracy (in terms of
precision and recall) as well as the scalability and elasticity of the proposed
system.
Module 1
Distributed Matching Engine
Unlike many of the previous works, which designed a system for image matching,
our proposed matching engine is general and it can support different types of
multimedia objects, including images, 2-D videos, and 3-D videos. To achieve this
generality, we divide the engine into two main stages. The first stage computes
5. nearest neighbors for a given data point, and the second stage post-processes the
computed neighbors based on the object type. In addition, our design supports
high-dimensionality which is needed for multimedia objects that are rich in
features. Computing nearest neighbors is a common problem in many applications.
Our focus in this paper is on distributed techniques that can scale to large datasets
such as. Liao et al. build a multi-dimensional index using R-tree on top of the
Hadoop distributed file system (HDFS). Their index, however, can only handle
low dimensional datasets—they performed their experiments with two dimensional
data. They solve the nearest neighbors over large datasets using MapReduce . Lu et
al. construct a Voronoi-like diagram using some selected pivot objects. They then
group the data points around the closest pivots and assign them to partitions, where
searching can be done in parallel. The system in is also designed for low
dimensional datasets; it did not consider data with more than 30 dimensions. In
contrast, in our experiments we used images and videos with up to 128 dimensions.
Aly et al. propose a distributed system for image retrieval. A major drawback of
this system is using a single machine that directs all query points, which makes it a
single point of failure as well as a bottleneck that could slow down the whole
system. Our system does not use a central machine, and thus it is more robust and
scalable. The closest work to ours is the RankReduce system, which implements a
distributed LSH (Locality Sensitive Hashing) index on a computing cluster using
6. MapReduce. RankReduce maintains multiple hash tables over a distributed cluster,
which requires storing multiple replicas of the datasets in hash tables. This incurs
significant storage cost and it increases the number of I/O operations. In contrast,
our system stores the dataset only once. We compare the proposed matching
engine against RankReduce and we show that our system returns more accurate
neighbors and it is more efficient.
Module 2
DesignGoals and Approaches
A content protection system has three main parties: (i) content owners (e.g.,
Disney), (ii) hosting sites (e.g., YouTube), and (iii) service providers (e.g., Audible
Magic). The first party is interested in protecting the copyright of some of its
multimedia objects, by finding whether these objects or parts of them are posted on
hosting sites (the second party). The third party is the entity that offers the copy
finding service to content owners by checking hosting sites. In some cases the
hosting sites offer the copy finding service to content owners. An example of this
case is YouTube, which offers content protection services. And in other, less
7. common, cases the content owners develop and operate their on protection
systems.
We define and justify the following four goals as the most important ones in
multimedia content protection systems.
• Accuracy: The system should have high accuracy in terms of finding all copies
(high recall) while not reporting false copies (high precision). Achieving high
accuracy is challenging, because copied multimedia objects typically undergo
various modifications (or transformations). For example, copied videos can be
subjected to cropping, embedding in other videos, changing bit rates, scaling,
blurring,
and/or changing frame rates. Our approach to achieve this goal is to extract
signatures from multimedia objects that are robust to as many transformations as
possible.
• Computational Efficiency: The system should have short response time to report
copies, especially for timely multimedia objects such as sports videos. In addition,
since many multimedia objects are continually added to online hosting sites, which
need to be checked against reference objects, the content protection system should
be able to process many objects over a short period of time. Our approach to
achieve this goal is to make the signatures compact and fast to compute and
compare without sacrificing their robustness against transformations.
8. • Scalability and Reliability: The system should scale (up and down) to different
number of multimedia objects. Scaling up means adding more objects because of
monitoring more online hosting sites, having more content owners using the
system, and/or the occurrence of special events such as sports tournaments and
release of new movies. Conversely, it is also possible that the set of objects
handled by the system shrinks, because, for example, some content owners may
terminate their contracts for the protection service. Our approach to handle
scalability is to design a distributed system that can utilize varying amounts of
computing resources. With large-scale distributed systems, failures frequently
occur, which require the content protection system to be reliable in face of
different failures. To address this reliability, we design the core parts of our system
on top of the MapReduce programming framework, which offers resiliency against
different types of failures.
• Cost Efficiency: The system should minimize the cost of the needed computing
infrastructure. Our approach to achieve this goal is to design our system to
effectively utilize cloud computing infrastructures (public and/or private). Building
on a cloud computing infrastructure also achieves the scalability objective
discussed above and reduces the upfront costof the computing infrastructure.
9. Module 3
Architecture and Operation
The system has multiple components; most of them are hosted on cloud
infrastructures. The figure shows the general case where one or more cloud
providers can be used by the system. This is because some cloud providers are
more efficient and/or provide more cost saving for different computing and
communication tasks. For example, a cloud provider offering lower cost for
inbound bandwidth and storage can be used for downloading and temporarily
storing videos from online sites, while another cloud provider (or private cloud)
offering better compute nodes at lower costs can be used to maintain the
distributed index and to perform the copy detection process. The proposed system
can be deployed and managed by any of the three parties mentioned in the previous
section: content owners, hosting sites, or service providers.
• Distributed Index: Maintains signatures of objects that need to be protected;
• Reference Registration: Creates signatures from objects that content owners are
interested in protecting, and inserts them in the distributed index;
10. • Query Preparation: Creates signatures from objects downloaded from online sites,
which are called query signatures. It then uploads these signatures to a common
storage;
• Object Matching: Compares query signatures versus reference signatures in the
distributed index to find potential copies. It also sends notifications to content
owners if copies are found;
• Parallel Crawling: Downloads multimedia objects from various online hosting
sites. The Distributed Index and Object Matching components form what we call
the Matching Engine. The second and third components deal with signature
creation. For the Crawling component, we designed and implemented a parallel
crawler and used it to download videos from YouTube. The details of the crawler
are omitted due to spacelimitations.
Module 3
SIGNATURE CREATION
The proposed system is designed to handle different types of multimedia objects.
The system abstracts the details of different media objects into multi-dimensional
signatures. The signature creation and comparison component is media specific,
11. while other parts of the system do not depend on the media type. Our proposed
design supports creating composite signatures that consist of one or more of the
following elements:
• Visual signature: Created based on the visual parts in multimedia objects and how
they change with time;
• Audio signature: Created based on the audio signals in multimedia objects;
• Depth signature: If multimedia objects are 3-D videos, signatures from their
depth signals are created;
• Meta data: Created from information associated with multimedia objects such as
their names, tags, descriptions, format types, and IP addresses of their uploaders or
downloaders
Module 4
Constructing the Matching Engine
It has a data structure that we call the distributed index as well as distributed
processing operations. The index is divided into two parts: (i) directing tree, and
(ii) bins. Directing tree is a space partitioning tree [19] that is used to group similar
12. points in the same or close-by bins. It is also used to forward query points to bins
with potential matches. Bins are leaf nodes of the directing tree, but they are stored
as files on the distributed file system. All processing of the matching engine is
performed in two distributed operations: (i) Build Index, and (ii) Match Objects.
The first creates the index from reference data points, and the second matches
query objects versus reference objects in the index. The design of our index has
two main features that make it simple to implement in a distributed manner, yet
efficient and scalable. First, data points are stored only at leaf nodes. Intermediate
nodes do not store any data, they only store meta data to guide the search through
the tree. This significantly reduces the size of the directing tree and makes it fit
easily in the main memory of a single machine even for large datasets. This feature
allows us to distribute copies of the directing tree to distributed machines to
process queries in parallel. Replicating the directing tree on different machines not
only facilitates distributed processing, but it also greatly improves the robustness
and efficiency of the system. The robustness is improved because there is no single
point of failure. The efficiency is improved because there is no central machine or
set of machines that other machines need to contact during the computation. The
second feature of our index design is the separation of leaf nodes (bins) and storing
them as files on the distributed file system. This increases reliability as well as
simplifies the implementation of the distributed computations in our system,
13. because concurrent accesses of data points are facilitated by the distributed file
system. The distributed index is constructed from reference objects, which is done
before processing any queries. Constructing the index involves two steps: (i)
creating the directing tree, and (ii) distributing the reference dataset to bins. Once
created, the directing tree is serialized as one object an stored on the distributed file
system. This serialized object can be loaded in memory by various computational
tasks running on multiple machines in parallel. Distribution of data is done in
parallel on multiple machines using a simple MapReduce job.
Module 5
Matching Objects
The object matching process is done in three steps: (i) partitioning query dataset,
(ii) finding nearest neighbors for each data point in the query dataset, and (iii)
performing application- specific object matching using the found nearest
neighbors. Each of these three steps is executed in parallel on the MapReduce
infrastructure. The first step partitions the query dataset such that each partition
contains a bin and a list of data points that are likely to have neighbors in that bin.
14. This is done using the directing tree, which is used to create the list of data points
that correspondsto each bin.
CONCLUSION AND FUTURE WORK
Distributing copyrighted multimedia objects by uploading them to online hosting
sites such as YouTube can result in significant loss of revenues for content
creators. Systems needed to find illegal copies of multimedia objects are complex
and large scale. In this paper, we presented a new design for multimedia content
protection systems using multi-cloud infrastructures. The proposed system
supports different multimedia content types and it can be deployed on private
and/or public clouds. Two key components of the proposed system are presented.
The first one is a new method for creating signatures of 3-D videos. Our method
constructs coarse-grained disparity maps using stereo correspondence for a sparse
set of points in the image. Thus, it captures the depth signal of the 3-D video,
without explicitly computing the exact depth map, which is computationally
expensive. Our experiments showed that the proposed 3-D signature produces high
accuracy in terms of both precision and recall and it is robust to many video
transformations including new ones that are specific to 3-D videos such as
synthesizing new views. The second key component in our system is the
15. distributed index, which is used to match multimedia objects characterized by high
dimensions. The distributed index is implemented using the MapReduce
framework and our experiments showed that it can elastically utilize varying
amount of computing resources and it produces high accuracy. The experiments
also showed that it outperforms the closest system in the literature in terms of
accuracy and computational efficiency. In addition, we evaluated the whole
content protection system with more than 11,000 3-D videos and the results
showed the scalability and accuracy of the proposed system. Finally, we compared
our system against the Content ID system used by YouTube. Our results showed
that: (i) there is a need for designing robust signatures for 3-D videos since the
current system used by the leading company in the industry fails to detect most
modified 3-D copies, and (ii) our proposed 3-D signature method can fill this gap,
because it is robust to many 2-D and 3-D video transformations. The work in this
paper can be extended in multiple directions. For example, our current system is
optimized for batch processing. Thus, it may not be suitable for online detection of
illegally distributed multimedia streams of live events such as soccer games. In live
events, only small segments of the video are available and immediate detection of
copyright infringement is crucial to minimize financial losses. To support online
detection, the matching engine of our system needs to be implemented using a
distributed programming framework that supports online processing, such as
16. Spark. In addition, composite signature schemes that combine multiple modalities
may be needed to quickly identify short video segments. Furthermore, the crawler
component needs to be customized to find online sites that offer pirated video
streams and obtain segments of these streams for checking against reference
streams, for which the signatures would also need to be generated online. Another
future direction for the work in this paper is to design signatures for recent and
complex formats of 3-D videos such as multiview plus depth. A multiview plus
depth video has multiple texture and depth components, which allow users to view
a scene from different angles. Signatures for such videos would need to capture
this complexity, while being efficient to compute, compare, and store.
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