seminar ppt fogcomputing-170420185314 (1).pptx

Seminar presentation about fog computing.

1. “FOG COMPUTING” SUBMITTED BY:- SANJNA MSC COMPUTER SCIENCE (2 ND SEM) 22326750 14 SUBMITTED TO:- SH. AADARSH SINGH

2. FOG COMPUTING

3. CONTENTS: Introduction. Existing System. Proposed System. Securing Clouds With Fog Security Issues. Example. Privacy Issues. Conclusion.

4. What Is FOG Computing. Fog Computing is a technology that extends cloud computing and services to the edge of the network. It provides data, compute, storage and application services to the users like cloud. Fog computing is an emerging technology that is basically used for Internet of Things.

5. Locations Fog Cloud Edge Core Simple Three Level Hierarchy

6. A simple three level hierarchy as shown further :- In this framework, each smart thing is attached to one of Fog devices. Fog devices could be interconnected and each of them is linked to the Cloud . As Fog computing is implemented at the edge of the network, it provides low latency, location awareness, and improves quality-of-services (QoS) for streaming and real time applications.

7. EXISTING SYSTEM Cloud computing has provided many opportunities for enterprises by offering their customers a range of computing services. Current “pay-as-you-go” Cloud computing model becomes an efficient alternative to owning and managing private data centers for customers facing Web applications.

8. DISADVANTAGES Existing data protection mechanisms such as encryption was failed in securing the data from the attackers . It does not verify whether the user was authorized or not . Cloud computing security does not focus on ways of secure the data from unauthorized access.

9. PROPOSED SYSTEM Unlike traditional data centers, Fog devices are geographically distributed over heterogeneous platforms, spanning multiple management domains. Cisco is interested in innovative proposals that facilitate service mobility across platforms, and technologies that preserve end-user and content security and privacy across domains.

10. ADVANTAGES Fog can be distinguished from Cloud by its proximity to end-users . T he dense geographical distribution and its support for mobility . I t provides low latency, location awareness, and improves quality-of-services ( QoS) and real time applications.

11. SECURING CLOUDS WITH FOG

12. User behavior profiling User profiling is a well-known technique that can be applied here to model how, when, and how much a user accesses their information in the Cloud . Simple user specific features can serve to detect abnormal Cloud access based partially upon the scale and scope of data transferred.

13. Decoy system Decoy data, such as decoy documents, honey pots and other bogus information can be generated on demand and used for detecting unauthorized access to information and to poison the thief’s ex-filtrated information. Serving decoys will confuse an attacker into believing they have ex-filtrated useful information, when they have actually not.

14. Fog computing architecture USER ADMIN ADMIN OPERATIONS ANSWER TO QUESTIONS LOGIN LOGIN SIGN UP ANSWER TO QUESTIONS ENTER USERNAME ENTER PASSWORD VIEW MY FILES SEND MAIL DOWNLOAD FILES UPLOAD FILES ORIGINAL DOCUMENT DECOY DOCUMENT FOG COMPUTING

15. APPLICATIONS OF FOG Connected cars:  Fog computing is ideal for Connected Vehicles (CV) because real-time interactions will make communications between cars, access points and traffic lights as safe and efficient as possible

16. Smart grids:  Fog computing allows fast, machine-to-machine (M2M) handshakes and human to machine interactions (HMI), which would work in cooperation with the cloud Fig. Fog computing in smart grid

17. Healthcare: Fog computing is used in healthcare to provide personalized medicine and improved patient outcomes.

18. Smart Cities: Fog computing is used in smart cities to provide efficient and sustainable urban planning.

19. SECURITY ISSUES The main security issues are authentication at different levels of gateways as well as (in case of smart grids) at the smart meters installed in the consumer’s home. Each smart meter and smart appliance has an IP address. A malicious user can either tamper with its own smart meter, report false readings, or spoof IP addresses. Data Breaches Cyber Attacks Unauthorized Access

20. EXAMPLE : MAN-IN –MIDDLE-ATTACK In this subsection, we take man- in-the-middle attack as an example to expose the security problems in Fog computing. In this attack, gateways serving as Fog devices may be compromised or replaced by fake ones .

21. PRIVACY ISSUES In smart grids, privacy issues deal with hiding details, such as what appliance was used at what time, while allowing correct summary information for accurate charging. Data Collection and Storage User Behavior Profiling Unauthorized Access to Personal

22. CONCLUSION With the increase of data theft attacks the security of user data is becoming a serious issue for cloud service providers for which Fog Computing is a paradigm which helps in monitoring the behavior of the user and providing security to the user’s data. By using decoy technique in Fog can minimize insider attacks in cloud. Fog provides unprecedented levels of security in the Cloud and in social networks. The usage of fog computing can accelerate the innovation process in ways that has never been seen before.

23. Thank You