​​​​Cloud computing:

Cloud computing is an information technology (IT) paradigm that enables ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet. Cloud computing relies on sharing of resources to achieve coherence and economies of scale, similar to a public utility. Third-party clouds enable organizations to focus on their core businesses instead of expending resources on computer infrastructure and maintenance. Advocates note that cloud computing allows companies to avoid or minimize up-front IT infrastructure costs. Proponents also claim that cloud computing allows enterprises to get their applications up and running faster, with improved manageability and less maintenance, and that it enables IT teams to more rapidly adjust resources to meet fluctuating and unpredictable demand. Cloud providers typically use a “pay-as-you-go” model, which can lead to unexpected operating expenses if administrators are not familiarized with cloud-pricing models.

Security and Privacy:

Cloud computing poses privacy concerns because the service provider can access the data that is in the cloud at any time. It could accidentally or deliberately alter or even delete information. Many cloud providers can share information with third parties if necessary for purposes of law and order even without a warrant. That is permitted in their privacy policies, which users must agree to before they start using cloud services. Solutions to privacy include policy and legislation as well as end users’ choices for how data is stored. Users can encrypt data that is processed or stored within the cloud to prevent unauthorized access.

According to the Cloud Security Alliance, the top three threats in the cloud are Insecure Interfaces and API’s, Data Loss & Leakage, and Hardware Failure—which accounted for 29%, 25% and 10% of all cloud security outages respectively. Together, these form shared technology vulnerabilities. In a cloud provider platform being shared by different users there may be a possibility that information belonging to different customers resides on same data server. Additionally, Eugene Schultz, chief technology officer at Emagined Security, said that hackers are spending substantial time and effort looking for ways to penetrate the cloud. “There are some real Achilles’ heels in the cloud infrastructure that are making big holes for the bad guys to get into”. Because data from hundreds or thousands of companies can be stored on large cloud servers, hackers can theoretically gain control of huge stores of information through a single attack—a process he called “hyperjacking”. Some examples of this include the Dropbox security breach, and iCloud 2014 leak. Dropbox had been breached in October 2014, having over 7 million of its users passwords stolen by hackers in an effort to get monetary value from it by Bitcoins (BTC). By having these passwords, they are able to read private data as well as have this data be indexed by search engines (making the information public).

There is the problem of legal ownership of the data (If a user stores some data in the cloud, can the cloud provider profit from it?). Many Terms of Service agreements are silent on the question of ownership.[110] Physical control of the computer equipment (private cloud) is more secure than having the equipment off site and under someone else’s control (public cloud). This delivers great incentive to public cloud computing service providers to prioritize building and maintaining strong management of secure services. Some small businesses that don’t have expertise in IT security could find that it’s more secure for them to use a public cloud. There is the risk that end users do not understand the issues involved when signing on to a cloud service (persons sometimes don’t read the many pages of the terms of service agreement, and just click “Accept” without reading). This is important now that cloud computing is becoming popular and required for some services to work, for example for an intelligent personal assistant (Apple’s Siri or Google Now). Fundamentally, private cloud is seen as more secure with higher levels of control for the owner, however public cloud is seen to be more flexible and requires less time and money investment from the user.

Applications:

Clients would be able to access their applications and data from anywhere at any time. They could access the cloud computing system using any computer linked to the Internet. Data wouldn’t be confined to a hard drive on one user’s computer or even a corporation’s internal network.
It could bring hardware costs down. Cloud computing systems would reduce the need for advanced hardware on the client side. You wouldn’t need to buy the fastest computerwith the most memory, because the cloud system would take care of those needs for you. Instead, you could buy an inexpensive computer terminal. The terminal could include a monitor, input devices like a keyboard and mouse and just enough processing power to run the middleware necessary to connect to the cloud system. You wouldn’t need a large hard drive because you’d store all your information on a remote computer.
Corporations that rely on computers have to make sure they have the right software in place to achieve goals. Cloud computing systems give these organizations company-wide access to computer applications. The companies don’t have to buy a set of software or software licenses for every employee. Instead, the company could pay a metered fee to a cloud computing company.
Servers and digital storage devices take up space. Some companies rent physical space to store servers and databases because they don’t have it available on site. Cloud computing gives these companies the option of storing data on someone else’s hardware, removing the need for physical space on the front end.

Corporations might save money on IT support. Streamlined hardware would, in theory, have fewer problems than a network of heterogeneous machines and operating systems.
If the cloud computing system’s back end is a grid computing system, then the client could take advantage of the entire network’s processing power. Often, scientists and researchers work with calculations so complex that it would take years for individual computers to complete them. On a grid computing system, the client could send the calculation to the cloud for processing. The cloud system would tap into the processing power of all available computers on the back end, significantly speeding up the calculation.

 Limitations:

According to Bruce Schneier, “The downside is that you will have limited customization options. Cloud computing is cheaper because of economics of scale, and — like any outsourced task — you tend to get what you get. A restaurant with a limited menu is cheaper than a personal chef who can cook anything you want. Fewer options at a much cheaper price: it’s a feature, not a bug.” He also suggests that “the cloud provider might not meet your legal needs” and that businesses need to weigh the benefits of cloud computing against the risks. In cloud computing, the control of the back end infrastructure is limited to the cloud vendor only. Cloud providers often decide on the management policies, which moderates what the cloud users are able to do with their deployment. Cloud users are also limited to the control and management of their applications, data and services. This includes data caps, which are placed on cloud users by the cloud vendor allocating certain amount of bandwidth for each customer and are often shared among other cloud users.

Privacy and confidentiality are big concerns in some activities. For instance, sworn t   ranslators working under the stipulations of an NDA, might face problems regarding sensitive data that are not encrypted.

Cloud computing is beneficial to many enterprises; it lowers costs and allows them to focus on competence instead of on matters of IT and infrastructure. Nevertheless, cloud computing has proven to have some limitations and disadvantages, especially for smaller business operations, particularly regarding security and downtime. Technical outages are inevitable and occur sometimes when cloud service providers become overwhelmed in the process of serving their clients. This may result to temporary business suspension. Since this technology’s systems rely on the internet, an individual cannot be able to access their applications, server or data from the cloud during an outage.Type your paragraph here.

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​​Latest IEEE Cloud Computing Projects

DHS Informatics providing latest 2018-2019 IEEE projects on networking for the final year engineering students. DHS Informatics trains all students to develop their project with good idea what they need to submit in college to get good marks. DHS Informatics offers placement training in Bangalore and the program name is OJT – On Job Training, job seekers as well as final year college students can join in this placement training program and job opportunities in their dream IT companies. We are providing IEEE projects for B.E / B.TECH, M.TECH, MCA, BCA, DIPLOMA students from more than two decades.

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IEEE CLOUD COMPUTING PROJECTS
P.CODE TITLES BASEPAPER SYNOPSIS LINKS
DHS_IOT_1801 IEEE 2018:Anonymous Authentication for Secure Data Stored on Cloud with Decentralized Access Control BasePaper Synopsis Link
DHS_IOT_1801 IEEE 2018:IMPLEMENTATION OF DNA CRYPTOGRAPHY IN CLOUD COMPUTING AND USING SOCKET PROGRAMMING BasePaper Synopsis Link
DHS_IOT_1801 IEEE 2018:Privacy Preserving Ranked Multi-Keyword Search for Multiple Data Owners in Cloud Computing BasePaper Synopsis Link
DHS_IOT_1801 IEEE 2018:Secure and Efficient Cloud Computing Framework BasePaper Synopsis Link
DHS_IOT_1801 IEEE 2018:DROPS: Division and Replication of Data in Cloud for Optimal Performance and Security BasePaper Synopsis Link
DHS_IOT_1801 IEEE 2018:CLASS: Cloud Log Assuring Soundness and Secrecy Scheme for Cloud Forensics M BasePaper Synopsis Link
DHS_IOT_1801 IEEE 2018:Secure Attribute-Based Signature Scheme With Multiple Authorities for Blockchain inElectronic Health Records Systems BasePaper Synopsis Link
DHS_IOT_1801 IEEE 2018::An Efficient and Privacy-Preserving Biometric Identification Scheme in Cloud Computing BasePaper Synopsis Link
DHS_IOT_1701 IEEE 2017:TAFC: Time and Attribute Factors Combined Access Control on Time-Sensitive Data in Public Cloud BasePaper Synopsis Link
DHS_CLD_1701 IEEE 2017:Cost Minimization Algorithms for Data Center Management BasePaper Synopsis Link
DHS_CLD_1701 IEEE 2017:Attribute-Based Storage Supporting Secure Deduplication of Encrypted Data in Cloud BasePaper Synopsis Link
DHS_CLD_1701 IEEE 2017:Efficient Resource Constrained Scheduling using Parallel Two-Phase Branch-and-Bound Heuristics BasePaper Synopsis Link
DHS_CLD_1701 IEEE 2017:Identity-Based Data Outsourcing with Comprehensive Auditing in Clouds BasePaper Synopsis Link
DHS_CLD_1701 IEEE 2017:PLAN: Joint Policy- and Network-Aware VM Management for Cloud Data Centers BasePaper Synopsis Link
DHS_CLD_1701 IEEE 2017:RAAC: Robust and Auditable Access Control with Multiple Attribute Authorities for Public Cloud Storage BasePaper Synopsis Link
DHS_CLD_1701 IEEE 2017:Live Data Analytics With Collaborative Edge and Cloud Processing in Wireless IoT Networks BasePaper Synopsis Link
DHS_CLD_1701 IEEE 2017:A General Framework For Edited Video And Raw Video Summarization BasePaper Synopsis Link
DHS_CLD_1701 IEEE 2017:A Semi-Automatic And Trustworthy Scheme For Continuous Cloud Service Certification Constraints BasePaper Synopsis Link
DHS_CLD_1701 IEEE 2017:A Cloud-Integrated,Multilayered, Agent-Based Cyber-Physical System Architecture BasePaper Synopsis Link
DHS_CLD_1701 IEEE 2017:A Collision-Mitigation Cuckoo Hashing Scheme For Large-Scale Storage Systems BasePaper Synopsis Link
DHS_CLD_1701 IEEE 2017:Optimizing Green Energy, Cost, And Availability In Distributed Data Centers BasePaper Synopsis Link
DHS_CLD_1701 IEEE 2017:Identity-Based Remote Data Integrity Checking With Perfect Data Privacy Preserving For Cloud Storage BasePaper Synopsis Link
DHS_CLD_1701 IEEE 2017:Privacy-Preserving Data Encryption Strategy For Big Data In Mobile Cloud Computing BasePaper Synopsis Link
DHS_CLD_1701 IEEE 2017:Two-Factor Data Access Control With Efficient Revocation For Multi-Authority Cloud Storage Systems BasePaper Synopsis Link
DHS_CLD_1701 IEEE 2017:Vehicular Cloud Data Collection For Intelligent Transportation Systems BasePaper Synopsis Link
DHS_CLD_1701 IEEE 2017:Practical Privacy-Preserving MapReduce Based K-Means Clustering Over Large-Scale Dataset BasePaper Synopsis Link
DHS_CLD_1601 IEEE 2016:Secure Optimization Computation Outsourcing in Cloud Computing: A Case Study of Linear Programming. BasePaper Synopsis Link
DHS_CLD_1601 IEEE 2016:Ensures Dynamic access and Secure E-Governance system in Clouds Services – EDSE BasePaper Synopsis Link
DHS_CLD_1601 IEEE 2016:On Traffic-Aware Partition and Aggregation in MapReduce for Big Data Applications BasePaper Synopsis Link
DHS_CLD_1601 IEEE 2016:A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data BasePaper Synopsis Link
DHS_CLD_1601 IEEE 2016:An Efficient Privacy-Preserving Ranked Keyword Search Method BasePaper Synopsis Link
DHS_CLD_1601 IEEE 2016:Differentially Private Online Learning for Cloud-Based Video Recommendation with Multimedia Big Data in Social Networks BasePaper Synopsis Link
DHS_CLD_1601 IEEE 2016:Fine-Grained Two-Factor Access Control for Web-Based Cloud Computing Services BasePaper Synopsis Link
DHS_CLD_1601 IEEE 2016:Dual-Server Public-Key Encryption with Keyword Search for Secure Cloud Storage. BasePaper Synopsis Link
DHS_CLD_1601 IEEE 2016:DeyPoS: Deduplicatable Dynamic Proof of Storage for Multi-User Environments BasePaper Synopsis Link
DHS_CLD_1601 IEEE 2016:KSF-OABE: Outsourced Attribute-Based Encryption with Keyword Search Function for Cloud Storage BasePaper Synopsis Link
DHS_CLD_1601 IEEE 2016:Sec RBAC: Secure data in the Clouds BasePaper Synopsis Link
DHS_CLD_1601 IEEE 2016:Secure Auditing and Duplicating Data in Cloud BasePaper Synopsis Link
DHS_CLD_1601 IEEE 2016:Public Integrity Auditing for Shared Dynamic Cloud Data with Group User Revocation BasePaper Synopsis Link
DHS_CLD_1601 IEEE 2016:Key-Aggregate Searchable Encryption (KASE) for Group Data Sharing via Cloud Storage BasePaper Synopsis Link
DHS_CLD_1601 IEEE 2016:A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data BasePaper Synopsis Link
DHS_CLD_1601 IEEE 2016:Identity-Based Encryption with Outsourced Revocation in Cloud Computing BasePaper Synopsis Link
DHS_CLD_1601 IEEE 2016:Reducing Fragmentation for In-line Deduplication Backup Storage via Exploiting Backup History and Cache Knowledge BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:SecDep: A user-aware efficient fine-grained secure deduplication scheme with multi-level key management BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:Energy-aware Load Balancing and Application Scaling for the Cloud Ecosystem BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:Provable Multi copy Dynamic Data Possession in Cloud Computing Systems BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Computing BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:Cloud Sky: A Controllable Data Self-Destruction System for Un trusted Cloud Storage Networks BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:Cost-Minimizing Dynamic Migration of Content Distribution Services into Hybrid Clouds BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:A Hybrid Cloud Approach for Secure Authorized Deduplication BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:I-sieve: An inline high performance deduplication system used in cloud storage BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:Just-in-Time Code Offloading for Wearable Computing BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:Secure sensitive data sharing on a big data platform BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:HEROS: Energy-Efficient Load Balancing for Heterogeneous Data Centers BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:Enabling Efficient Multi-Keyword Ranked Search Over Encrypted Mobile Cloud Data Through Blind Storage BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:Privacy-Preserving Public Auditing for Regenerating-Code-Based Cloud Storage BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:CHARM: A Cost-Efficient Multi-Cloud Data Hosting Scheme with High Availability BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:Innovative Schemes for Resource Allocation in the Cloud for Media Streaming Applications BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:OPoR: Enabling Proof of Retrievability in Cloud Computing with Resource-Constrained Devices BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:Enabling Efficient Multi-Keyword Ranked Search Over Encrypted Mobile Cloud Data Through Blind Storage BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:Toward Offering More Useful Data Reliably to Mobile Cloud From Wireless Sensor Network BasePaper Synopsis Link
DHS_CLD_1501 IEEE 2015:Secure Distributed Deduplication Systems with Improved Reliability BasePaper Synopsis Link
DHS_IOT_1701 IEEE 2015:CloudArmor: Supporting Reputation-based Trust Management for Cloud Services BasePaper Synopsis Link

CLOUD COMPUTING

DHS-IEEE Projects SINCE 15 YEARS

DHS Informatics provides a latest IEEE projects for final year CSE and ISE students on Cloud computing project Cloud computing is help boost technological advancement based on java we are developing a cloud computing projects.


Find below our latest IEEE 2018-2019 Cloud Computing project list