Encryption Algorithms for Cloud
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In this presentation, Amali introduces the topic of SMAC and moves on to the problem area of storage in cloud. Her interest area lies in developing algorithms that make cloud storage safer.
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Fog Computing with VORTEX
An increasing number of Consumer and Internet Internet of Things applications require some form of edge computing characterised by low latency, peer-to-peer communication, and mobility. Fog computing has recently emerged as the paradigm to address the needs of edge computing in IoT applications. Fog computing complements Cloud computing to allow the design and implementation of IoT systems that scale better, are more reactive and in which local communication and decision is enabled whenever possible.
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This document discusses fog computing, which extends cloud computing to the edge of the network. It describes the existing cloud computing model and proposes fog computing as an alternative to address issues like latency. Key topics covered include security issues, privacy issues, potential scenarios and applications of fog computing, and ideas for future enhancement.
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Cloud computing is the significant part of the data world. The security level in cloud is undefined. Fog computing is the new buzz word added to the technical world. And the term Fog was coined by CISCO. The need for Fog computing is security and gets the data more closely to the end-user. Fog Computing is not going to replace the Cloud computing, it will be acting as the intermediate layer for securing the data which is stored inside the cloud. The principal idea of this paper is to provide data safety measures to the Cloud storage through Fog Computing. Fog Computing will be playing the vital role for the future technology. The Internet of Things (IoT) will be using the Fog computing to implement the smart World concept. So, in the future we have to handle huge amount of data and we need to provide the security for the Data. This study gives the security solutions available for the different issues.
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Blockchain is widely used for money related transaction and still there are many proven usecases across different industries like Retail in stock checks and order management, Manufacturing in good movement processing, Health care in patient database management to name a few. With this in mind, it is always important to understand the merits and demerits of both Public and Private Blockchain to understand their capabilities and limitations to decide which one is more suitable for an industry specific usecase implementation. In a Cloud based platform, data security plays a crucial role to cater to data protection and regulatory requirements and Blockchain can play an important role in this for accelerated workflow by providing ‘data security’ as a service capability.
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From introducing new international standards to having an important role to play in several industries, computer science is one of the powerful subjects right now. You cannot guess a single area that does not need computer systems or efficient networking options. Because Technology and Computer Science go together for any field.
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Visite : https://www.phdassistance.com/blog/
Contact Us:
UK NO: +44-1143520021
India No: +91-8754446690
Email: info@phdassistance.com
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Fog computing refers to performing computing tasks closer to the source of data generation rather than solely relying on centralized cloud computing. It helps address issues like high bandwidth needs and latency by processing some data locally and only sending valuable aggregated data to the cloud. Fog computing is driven by the rise of IoT and is useful for applications requiring low latency like connected cars, smart grids, and healthcare. It aims to make decisions and processing occur as close to data generation as possible using localized computing resources and devices.
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Blockchain is widely used for money related transaction and still there are many proven usecases across different industries like Retail in stock checks and order management, Manufacturing in good movement processing, Health care in patient database management to name a few. With this in mind, it is always important to understand the merits and demerits of both Public and Private Blockchain to understand their capabilities and limitations to decide which one is more suitable for an industry specific usecase implementation. In a Cloud based platform, data security plays a crucial role to cater to data protection and regulatory requirements and Blockchain can play an important role in this for accelerated workflow by providing ‘data security’ as a service capability.
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Visite : https://www.phdassistance.com/blog/
Contact Us:
UK NO: +44-1143520021
India No: +91-8754446690
Email: info@phdassistance.com
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Cloud computing involves clusters of servers connected over a network that allow users to access computational resources and pay only for what they use. While cloud computing provides advantages like flexibility and cost savings, security is a main concern as user data is stored remotely. Fog computing is a new technique that extends cloud computing by providing additional security measures and isolating user data at the network edge to enhance privacy. It aims to place data closer to end users to improve security in cloud environments.
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Fog computing is a distributed computing paradigm that processes data closer to IoT devices rather than sending all data to centralized cloud servers. This helps address issues like high latency, bandwidth constraints, and scalability challenges. Fog computing deploys compute and storage resources between end devices and cloud data centers. It can perform tasks like data aggregation, analytics, and decision making near devices to enable low-latency applications. Coordinating fog and cloud resources requires addressing challenges regarding resource management, load balancing, APIs, security, and fault tolerance.
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From introducing new international standards to having an important role to play in several industries, computer science is one of the powerful subjects right now. You cannot guess a single area that does not need computer systems or efficient networking options. Because Technology and Computer Science go together for any field.
Stating this, there are a few core subjects inside computer science that are unpredictable in its future use. One such case is with computing technologies.
Visite : https://www.phdassistance.com/blog/
Contact Us:
UK NO: +44-1143520021
India No: +91-8754446690
Email: info@phdassistance.com
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Vamos a conferencias, participamos de grandes sesiones y casos de estudio. Las prácticas de los presentadores son fantásticas y los resultados impresionantes. De hecho todo lo que escuchas te da envidia. Regresas a tu oficina y sigues abrumado por tiempos de entrega de tus campañas y con todo lo que tienes que hacer sólo para estar al día. De a poco, esas posibilidades que imaginaste se convierten en un recuerdo distante y estás atrapado por tus técnicas actuales.
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Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider. For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network .This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
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The document discusses security challenges in cloud computing from a high-level view. It notes that while clouds introduce new attack vectors like co-tenancy, today's cloud architectures provide little security, accountability or transparency. Open problems include how to prevent exploitation of shared infrastructure, provide data integrity assurances, and enable forensic investigations in clouds. The author advocates for research on maintaining data and computation provenance in clouds to increase accountability and trustworthiness. However, current cloud security research often fails to consider economic and practical constraints required for real-world adoption.
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Cloud computing involves clusters of servers connected over a network that allow users to access computational resources and pay only for what they use. While cloud computing provides advantages like flexibility and cost savings, security is a main concern as user data is stored remotely. Fog computing is a new technique that extends cloud computing by providing additional security measures and isolating user data at the network edge to enhance privacy. It aims to place data closer to end users to improve security in cloud environments.
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Fog computing is a distributed computing paradigm that processes data closer to IoT devices rather than sending all data to centralized cloud servers. This helps address issues like high latency, bandwidth constraints, and scalability challenges. Fog computing deploys compute and storage resources between end devices and cloud data centers. It can perform tasks like data aggregation, analytics, and decision making near devices to enable low-latency applications. Coordinating fog and cloud resources requires addressing challenges regarding resource management, load balancing, APIs, security, and fault tolerance.
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Stating this, there are a few core subjects inside computer science that are unpredictable in its future use. One such case is with computing technologies.
Visite : https://www.phdassistance.com/blog/
Contact Us:
UK NO: +44-1143520021
India No: +91-8754446690
Email: info@phdassistance.com
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Fog computing is a model that processes and stores data near network edge devices rather than solely in cloud data centers. It extends cloud computing to the edge of the network to provide low latency services to end users. Key characteristics include proximity to users, dense geographical distribution, and support for mobility. Fog computing is well-suited for applications requiring real-time processing like industrial automation and IoT networks of sensors. It helps improve quality of service by bringing services closer to users and enabling real-time analytics on distributed data sources.
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Fog computing is a paradigm that extends cloud computing and services to the edge of the network, similar to cloud but providing data computation, storage, and application services closer to users. This helps address issues with cloud like limited bandwidth, latency, and security vulnerabilities. Fog computing uses techniques like user behavior profiling and decoy systems to detect unauthorized access and secure data in the cloud from attackers. It has a decentralized architecture with fog devices acting as intermediaries between user devices and the cloud. Potential applications and scenarios of fog computing include smart grids, smart traffic lights, software defined networks, and the Internet of Things.
Michael Enescu - Cloud + IoT at IEEE
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- 50 billion devices are expected to be internet-connected by 2020, up from 12.5 billion in 2010, representing rapid growth.
- Most of the world's data is now being generated by IoT devices like sensors and smart objects, creating big data challenges.
- Fog computing is a new distributed computing model that processes data at the edge of the network, near the data sources, to help address these challenges. It extends cloud computing out to endpoints and access networks.
- Open source software will be important for fog computing and IoT, as it has been
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Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services over the internet. It delivers applications through web browsers and allows for dynamic scaling of resources. Some benefits include reduced costs, increased storage and flexibility compared to traditional computing methods. However, security, privacy and compliance are important challenges to address with cloud computing.
Data security in cloud compu
This document discusses data security in cloud computing. It explores the lack of trust management that has been established to promote greater cloud adoption. There is an information gap regarding the lack of effective cloud management to increase user trust in operations. The document analyzes the trust model, which evaluates security strengths of cloud services and applications. Both qualitative and quantitative research methods will be used to understand data security issues and measure security quality rather than just quantities. The target population for data collection is small and medium enterprises in the United States that store information in the cloud and face trust management challenges.
Cloud computing security
Cloud security refers to securing the many aspects of cloud computing, including maintaining data security within the cloud, between users and the cloud, and protecting cloud infrastructure. There are different types of clouds - public clouds allow remote access but data is held by third parties; private clouds keep data behind a corporate firewall; hybrid clouds combine public and private access; and community clouds share resources between organizations. Each cloud type has its own security risks and requirements due to factors like data access and control.
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This document summarizes a research paper on secure data transfer based on cloud computing. The paper proposes a method to securely store sensitive data on the cloud through encryption. Data owners can encrypt files before uploading them to the cloud. When recipients want to access the encrypted data, data owners can send decryption keys through secure channels. Even if hackers obtain the encrypted data from the cloud, they will be unable to read it without the decryption keys. The proposed method aims to address security and privacy concerns of cloud computing by encrypting data at rest and controlling access through encryption keys.
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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.
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Deployment of using cloud services as a new approach to keep people's platforms, Infrastructure and applications has become an important issue in the world of communications technology. This is a very useful paradigm for humans to obtain their essential needs simpler, faster ,more flexible, and safer than before. But there are many concerns about this system challenge. Security is the most important challenge for cloud systems. In this paper we design and explain the procedure of implementation of a new method for cloud services based on multi clouds on our platform which supplies security and privacy more than other clouds. We introduce some confidentiality and security methods in each layer to have a secure access to requirements. The architecture of our method and the implementation of method on our selected platform for each layer are introduced in this paper.
Design and implement a new cloud security method based on multi clouds on ope...
Deployment of using cloud services as a new approach to keep people's platforms,
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technology. This is a very useful paradigm for humans to obtain their essential needs simpler,
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challenge. Security is the most important challenge for cloud systems. In this paper we design
and explain the procedure of implementation of a new method for cloud services based on multi
clouds on our platform which supplies security and privacy more than other clouds. We
introduce some confidentiality and security methods in each layer to have a secure access to
requirements. The architecture of our method and the implementation of method on our selected
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Cloud computing seminar report
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Kp3419221926
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.
Why Cloud Security Matters in Today's Business World
While the benefits of cloud computing are abundant, transitioning to this modern platform requires a thorough understanding of the associated risks and, more importantly, how to safeguard the organization, its personnel, and its customers. Exploring the specifics of cloud security is essential to addressing these concerns.
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Because of its accessibility and flexibility, cloud technology is among the most notable innovations in today's world. Having many service platforms, such as GoogleApps by Google, Amazon, Apple, and so on, is well accepted by large enterprises. Distributed cloud computing is a concept for enabling every-time, convenient, on-demand network access to processing resources including servers, storage devices, networks, and services that may be mutually configured. The major security risks for cloud computing as identified by the Cloud security alliance (CSA) have been examined in this study. Also, methods for resolving issues with cloud computing technology's data security and privacy protection were systematically examined
Methodologies for Resolving Data Security and Privacy Protection Issues in Cl...
Methodologies for Resolving Data Security and Privacy Protection Issues in Cl...Associate Professor in VSB Coimbatore
Because of its accessibility and flexibility, cloud technology is among the most notable innovations in today's world. Having many service platforms, such as GoogleApps by Google, Amazon, Apple, and so on, is well accepted by large enterprises. Distributed cloud computing is a concept for enabling every-time, convenient, on-demand network access to processing resources including servers, storage devices, networks, and services that may be mutually configured. The major security risks for cloud computing as identified by the Cloud security alliance (CSA) have been examined in this study. Also, methods for resolving issues with cloud computing technology's data security and privacy protection were systematically examined.B1802041217
This document discusses security issues and challenges related to data security in cloud computing. It begins by providing background on cloud computing and its benefits. It then discusses some key security challenges including data breaches, insecure interfaces, denial of service attacks, eavesdropping, data loss, lack of compatibility between cloud services, abuse of cloud technologies, insufficient user understanding of risks, and safe storage of encryption keys. It also discusses issues regarding data integrity verification and privacy when data is outsourced to cloud servers. In the end, it recommends solutions such as homomorphic encryption, decentralized information flow control, and data accountability frameworks to enhance security in cloud computing.
Security and privacy approach of cloud computing
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standardized framework of cloud computing environment model for applying this approach.
Cloud Security - Types, Common Threats & Tips To Mitigate.pdf
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This document summarizes an encryption technique for securing data in cloud computing environments. It begins by introducing cloud computing and some of the security concerns with storing data in the cloud. It then discusses previous encryption algorithms like the Caesar cipher, Vigenere cipher, and Playfair cipher and their limitations. The document proposes using the Advanced Encryption Standard (AES) algorithm with Rijndael cipher to encrypt data before uploading it to cloud servers. It describes implementing AES encryption in two steps: 1) using an authentication channel to verify user identities, and 2) encrypting the data using the AES Rijndael algorithm in 9 to 13 rounds depending on the key size. The document argues this encryption technique can help make customer data in the
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This document summarizes an encryption technique for ensuring security in cloud computing environments. It begins by introducing cloud computing and some of the security concerns with storing data in the cloud. These include lack of transparency about security measures, incomplete or corrupted data uploads, and potential data theft without the user's knowledge. The document then reviews some traditional encryption algorithms like the Caesar cipher, Vigenere cipher, and Playfair cipher and their limitations. It proposes using the Advanced Encryption Standard (AES) algorithm with Rijndael, which is more secure than older standards. The technique implements AES encryption with an authentication channel using challenge-response and encrypts the data before uploading to the cloud. This ensures the encrypted data is useless even if stolen,
Major Cloud Security Challenges concerning the Enterprises | Sysfore
With the increasing breach of sensitive data held in Cloud, many enterprises, medium and large, are now worried about Cloud Security. In this article, we will discuss some of the major Cloud Security Challenges facing the enterprises and whether they can be overcome.
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- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
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Encryption Algorithms for Cloud
- 1. SCUDE Name: AmaliGlorya E-mail: zianacorps18@gmail.com University: Pondicherry Year/Semester: III year/ VI Branch: Information Technology
- 2. Introduction o Social media has provided businesses with new ways to reach and interact with customers, while mobile technologies have changed the way people communicate, shop and work. Analytics allow businesses to understand how, when and where people consume certain goods and services and cloud computing provides a new way to access technology and the data a business needs to quickly respond to changing markets and solve business problems .One of the most emerging technology is cloud computing. Many Multinational Companies started to move on to the cloud. Unfortunately the big threat that scares all is DATA INSECURITY in cloud. Data breach and data loss is the popular problems faced by cloud technology.
- 3. To resolve this problem our project is trying to give a solution by using a technology called DYNAMIC ENCRYPTION. With this we can prevent the hackers in decrypting the data present in the cloud. In this document we tried to overcome the security issue faced by cloud during file transfer. Despite of vast researches made to overcome these issues, there is no perfect solution till determined. We took this as a problem and proposed a simple solution to overcome the issues through DYNAMIC ENCRYPTION algorithms. Here we use two algorithms namely: 1. AES(Advanced Encryption Standard) 2. RSA(Rivest Shamir Adleman)
- 4. Problem definition The topic SCUDE briefly explains Storing and transferring data in Cloud securely Using Dynamic Encryption. The encrypted data in cloud server is again dynamically encrypted with respect to time. Symmetric key algorithms are used to encrypt the data which rest on cloud, while transferring the data asymmetric key algorithms are used.
- 5. Trends Cloud computing has experienced exponential growth over the last few years . The latest trends are listed below . Hybrid clouds BYOD Platform-as-a-Service (PaaS) Big data analytics Graphics as a service Identity management and protection Web-powered apps
- 6. The two trends that has an impact in next five years are identity management and protection and web- powered apps . Security has always been a major concern with cloud computing. As more businesses move more information and data into cloud servers, this concern is more important than ever. It is anticipated that over the next year, there will be identity management solutions based on new cloud based security paradigms. As efficiency and scalability are among the primary benefits of cloud computing, then it only makes sense to start developing cloud-based applications that are compatible with multiple platforms.
- 7. Solution With help of RSA algorithm the data is encrypted first in client side and sent to the cloud server. Here the private key is held by user and public key is held by cloud vendor. The encrypted data present in the cloud server is again dynamically encrypted with respect to time. The user again decrypts the primary encrypted data and gets the actual data.
- 8. Interest Areas My interest area in cloud computing technology is cloud security . Cloud security is an evolving sub-domain of computer security, network security, and, more broadly, information security. It refers to a broad set of policies, technologies, and controls deployed to protect data, applications, and the associated infrastructure of cloud computing. Cloud computing security is the set of control-based technologies and policies designed to adhere to regulatory compliance rules and protect information, data applications and infrastructure associated with cloud computing use .
- 9. Impacts The main advantage is preventing hacking and cracking of data from unauthorized source. Reliability and scalability can be improved. This algorithm provides high security with firewalls. Data breach and data loss is the major drawback in the existing system which has been overcome in SCUDE.
- 10. Thank you