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  3. 3. INTRODUCTION ✦Cloud computing enables customers with limited computational resources to outsource their large computation workloads to the cloud, and economically enjoy the massive computational power, bandwidth, storage, and even appropriate software that can be shared in a pay-‐per-‐use manner. ✦Security is the primary obstacle that prevents the wide adoption of this promising computing model, especially for customers when their confidential data are consumed and produced during the computation. ✦Treating the cloud as an intrinsically insecure computing platform from the viewpoint of the cloud customers. ✦The resulting flexibility allows us to explore appropriate security/efficiency trade off via higher level abstraction of LP(Linear Programming) computations than the general circuit representation.
  4. 4. WHAT IS CLOUD? The term Cloud refers to a Network or Internet. In other words, we can say that Cloud is something, which is present at remote location. Cloud can provide services over network, i.e., on public networks or on private networks, i.e., WAN, LAN and so on . Applications such as e-mail, web conferencing, customer relationship management (CRM), all run in cloud.
  5. 5. WHAT IS CLOUD COMPUTING? Cloud Computing provides us a means by which we can access the applications as utilities, over the Internet. It allows us to create, configure, and customize applications online. Cloud computing provides a variety of computing resources , from servers and storage to enterprise applications such as email, security, backup/DR, voice, all delivered over the Internet
  6. 6. The Cloud delivers a hosting environment that is Flexible, Immediate, Scalable, Secure. Available while saving corporations money, time and resources. With Cloud Computing users can access database resources via the internet from anywhere for as long as they need without worrying about any maintenance or management of actual resources.
  7. 7. BASIC CONCEPTS There are certain services and models working behind the scene making the cloud computing feasible and accessible to end users. Following are the working models for cloud computing: 1. DEPLOYMENT MODELS 2. SERVICE MODELS
  8. 8. DEPLOYMENT MODELS Deployment models define the type of access to the cloud, i.e., how the cloud is located? Cloud can have any of the four types of access: Public, Private, Hybrid and Community.
  9. 9. PUBLICCLOUD The Public Cloud allows systems and services to be easily accessible to the general public. Public cloud may be less secure because of its openness, e.g., e-mail. PRIVATECLOUDThe Private Cloud allows systems and services to be accessible within an organization. It offers increased security because of its private nature. COMMUNITYCLOUD The Community Cloud allows systems and services to be accessible by group of organizations. HYBRIDCLOUD The Hybrid Cloud is mixture of public and private cloud. However, the critical activities are performed using private cloud while the non-critical activities are performed using public cloud.
  10. 10. SERVICE MODELS Service Models are the reference models on which the Cloud Computing is based. These can be categorized into three basic service models as listed below: 1.Infrastructureasa Service(IaaS) 2. Platformasa Service(PaaS) 3. Softwareasa Service(SaaS)
  11. 11. Infrastructure as a Service (IaaS) IaaS is the delivery of technology infrastructure as an on demand scalable service. IaaS provides access to fundamental resources such as physical machines, virtual machines, virtual storage, etc. • Usually billed based on usage • Usually multi tenant virtualized environment • Can be coupled with Managed Services for OS and application support
  12. 12. IaaS Examples
  13. 13. Platformas a Service (PaaS) PaaS provides the runtime environment for applications, development & deployment tools, etc. PaaS provides all of the facilities required to support the complete life cycle of building and delivering web applications and services entirely from the Internet. Typically applications must be developed with a particular platform in mind • Multi tenant environments • Highly scalable multi tier architecture
  14. 14. PaaS Examples
  15. 15. Software as a Service (SaaS) SaaS model allows to use software applications as a service to end users. SaaS is a software delivery methodology that provides licensed multi-tenant access to software and its functions remotely as a Web-based service. Usually billed based on usage • Usually multi tenant environment • Highly scalable architecture
  16. 16. SaaS Examples
  17. 17. Simplifying CloudComputing Complex processes are integrated into cloud.
  18. 18. LINEAR PROGRAMMING Linear programming is a widely used mathematical modeling technique to determine the optimum allocation of scarce resources among competing demands. Resources typically include raw materials, manpower, machinery, time, money and space. The technique is very powerful and found especially useful because of its application to many different types of real business problems in areas like finance, production, sales and distribution, personnel, marketing and many more areas of management. As its name implies, the linear programming model consists of linear objectives and linear constraints, which means that the variables in a model have a proportionate relationship. For example, an increase in manpower resource will result in an increase in work output.
  19. 19. WHY CLOUD COMPUTING ? ✦Cloud Computing is very much useful to a smaller companies to generate similar savings and capabilities on its own. ✦Many of the issues blamed on the cloud in large enterprises - security, integration, compliance and so on - often cause fewer problems in small companies that can't properly deal with them anyway. MAIN REASONS WHY CLOUD COMPUTING IS BETTER FOR SMALL BUSINESSES ECONOMIES OF SCALE ENTERPRISE CLASS FUNCTIONALITY MONEY MATTERS INFRASTRUCTURE APPLICATIONS SECURITY PROBLEM COMPLIANCE RELIABILITY
  20. 20. 1.Economies of scale: This one's obvious. The larger the company, the easier it can generate economies of scale on its own. Small companies, by definition, have more limited resources. Anything that can give them access to scale in purchasing and pricing is a big win! 2.Enterprise-class functionality. Big companies have the heft to create the custom functionality they need. Small companies simply don't have the resources to do that. In the cloud, though, they can leverage development, maintenance and upgrades across many, many small businesses... And, increasingly, consumers as well. 3.Money Matters. Startups and small companies are often under capitalized and pay-as-you-go cloud computing solutions typically don't require lots of upfront cash. Even if they don't end up saving much as the monthly fees add up over the long run, avoiding capital expenditures can be a make-or-break issue for cash- strapped small businesses. Reasons why cloudcomputing
  21. 21. 4.Infrastructure vs. Applications. For the enterprise, cloud computing often means complex Infrastructure as a Service (IaaS) projects that have to be installed and integrated into a company's existing systems. For smaller companies, cloud computing often means complete cloud-based Software as a Service (SaaS) applications and application suites. No IT required. 5.Security Problems. I'm not saying security isn't important to small businesses (though many don't take it as seriously as they should). I'm saying that while security in the cloud may still be shaky by enterprise standards, it's almost always far better than what small businesses are able to provide for themselves.
  22. 22. 6.Compliance. Because you don't necessarily know where your data is stored in the cloud, IaaS can cause confusion as to whether it complies with local, national and international regulations. That's a huge issue for multinational corporations, less so for most small businesses. 7.Reliability. The cloud is more reliable than most people think. When widely used cloud services and applications have outages, it makes national news. When an individual company - large or small - has a similar problem, they work hard to make sure you never even hear about it. The bottom line, though, is that even accounting for network connectivity hiccups, the cloud is probably a lot more reliable than what small businesses can afford to provide for themselves.
  23. 23. WHAT IS SECURITY ? Security is the degree of resistance to, or protection from, harm. It applies to any vulnerable and valuable asset, such as a person, community, nation, or organisation. ✦Cryptography ✦Redundancy ✦Disposal ✦Transfer security ✦Firewalling What exactly firewall does is: It isolates the virtual machines . Brilliantly filters addresses and ports  Prevents Denial-of-Service (DoS) Detects external security assessment measures
  24. 24. Whysecurity is needin cloud computing? "The Notorious Nine," the top nine cloud computing threats has been identified by the CSA (Cloud Security Alliance).The report reflects the current consensus among industry experts surveyed by CSA, focusing on threats specifically related to the shared, on-demand nature of cloud computing. The top most threats to the cloud computing are : ✦Data Breaches ✦Data Loss ✦Account or Service Traffic Hijacking ✦Insecure Interfaces and APIs ✦Denial of service ✦Malicious insiders ✦Abuse, ✦Insufficient due diligence
  25. 25. Outsourcing computation to the commercial public cloud is also depriving customers’ direct control over the systems that consume and produce their data during the computation, which inevitably brings in new security concerns and challenges towards this promising computing model.Theoutsourced computation workloads often contain sensitive information, such as ✦The business financial records, ✦Proprietary research data, ✦Personally identifiable health information etc. EXISTING SYSTEM
  26. 26. ✦ End to end data confidentiality ✦unauthorised information leakage ✦sensitive data have to be encrypted before outsourcing How ever,Ordinary data encryption techniques in essence prevent cloud from performing any meaningful operation of the underlying plaintext data making the computation over encrypted data a very hard problem. There are huge financial incentives for the cloud to be “lazy” if the customers cannot tell ✦The correctness of the output ✦Possible software bugs ✦Hardware failures, even outsider attacks might also affect the quality of the computed results. DISADVANTAGES
  27. 27. PROPOSED SYSTEM Our Linear Programming outsourcing scheme which provides a complete outsourcing solution for not only the privacy protection of problem input/output, but also its efficient result checking. We start from a secure LP outsourcing design framework. ADVANTAGES ✦Optimal solution using LP problems. ✦Better security on both uploading and downloading. ✦Integrating mathematical implementation in encryption
  28. 28. Software and Hardware Specifications SOFTWARE SPECIFICATION: Operating System : Windows XP,7,8 Software Protocol IDE : JAVA(JDK 1.6.0) : TCP/IP : NetBeans,Xampp 12 HARDWARE SPECIFICATION: Processor Speed RAM Hard Disk General :Pentium-IV, dual core :1.1GHz,3.4GHz :512MB,1GB :40GB,320GB :Keyboard,Monitor,Mouse
  29. 29. Mechanism Design Framework These four algorithms are summarised below : •KeyGen(1k ) → {K }. This is a randomized key generation algorithm which takes a system security parameter k, and returns a secret key K that is used later by customer to encrypt the target LP problem. • ProbEnc(K, Φ) → {ΦK }. This algorithm encrypts the input tuple Φinto ΦK with the secret key K. According to problem transformation, the encrypted input ΦK has the same form as Φ, and thus defines the problem to be solved in the cloud. •ProofGen(ΦK ) → {(y, Γ)}. This algorithm augments a generic solver that solves the problem ΦK to produce both the output y and a proof Γ. The output y later decrypts to x, and Γ is used later by the customer to verify the correctness of y or x . •Result Dec (K, Φ, y, Γ) → {x, ⊥}. This algorithm may choose to verify either y or x via the proof Γ. In any case, a correct output x is produced by decrypting y using the secret K. The algorithm outputs ⊥ when the validation fails, indicating the cloud server was not performing the computation faithfully.
  30. 30. Finding File Encrypt the File Send to Cloud Server Decrypt the File Give Solution / Verification key Response to Customer Architecture of secure outsourcing linear programming problems in Cloud Computing.
  31. 31. IMPLEMENTATION ✦ Finding File ✦Encrypt the File ✦Send to Cloud Server ✦Decrypt the File ✦Give Solution / Verification key ✦Response to Customer
  32. 32. Finding File & Encrypt the File ★ADMIN LOGIN ★IMAGE UPLOAD
  33. 33. Send to Cloud Server & Decrypt theFile ★CLIENT DETAILS ★FILE ENCRYPTION & DECRYPTION
  34. 34. Give Solution / Verification key Linear programming process where the optimal solution gets solved and verified
  35. 35. ★USER LOGIN ★FILE SEARCH Response toCustomer
  37. 37. CONCLUSION ✦The problem of securely outsourcing LP computations in cloud computing, and provide such a practical mechanism design which fulfils input/output privacy, cheating resilience, and efficiency. ✦By explicitly decomposing LP computation outsourcing into public LP solvers and private data, our mechanism design is able to explore appropriate security/efficiency trade offs via higher level LP computation than the general circuit representation. ✦This develops problem transformation techniques that enable customers to secretly transform the original LP into some arbitrary one while protecting sensitive input/ output information.
  38. 38. REFERENCES  0Paper/Secure%20and%20Practical%20Outsourcing%20of% 20Linear%20Programming%20in%20Cloud%20Computing.p df    edia&oq=cloud+computing+wkiped&gs_l=psy- ab.3.0.0i13k1l3j0i22i30k1.293486.328770.0.331770.70.32.10 . ab..36.34.5637...0j33i21k1j0i131i46k1j46i131k1j0i131k1j0i13i 30k1.cE7DXnpoX28  
  39. 39. THANKYOU