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Seminar ppt fog comp


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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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Seminar ppt fog comp

  1. 1. Jain College of Engineering T.S Nagar, Machhe, Belagavi-590014 Seminar on “FOG COMPUTING” Submitted By MAHANTESH HIREMATH (2JI13CS024) Under the Guidance of PROF. VIJAYALAXMI S. NAGANUR Department of Computer science and Engineering 2016-2017
  3. 3. CONTENTS:  Introduction.  Existing System.  Proposed System.  Securing Clouds With Fog  Security Issues.  Example.  Privacy Issues.  Conclusion.  References.
  4. 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. 5. Fog Cloud Locations Edge Core Simple Three Level Hierarchy
  6. 6. A simple three level hierarchy as shown in above Figure.  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. 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. 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. 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. 10. ADVANTAGES  Fog can be distinguished from Cloud by its proximity to end-users.  The dense geographical distribution and its support for mobility.  It provides low latency, location awareness, and improves quality-of- services (QoS) and real time applications.
  12. 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. • Behaviour based security: a ‘normal user’ behaviour can be continuously checked to determine whether abnormal access to a user’s information is occurring. Ex: Fraud detection applications.
  13. 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.
  15. 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. 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. 17. 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.
  18. 18. 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 .
  19. 19. 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.
  20. 20. 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.
  21. 21. REFERENCES [1] F. Bonomi, “Connected vehicles, the internet of things, and fog com- puting,” in The Eighth ACM International Workshop on Vehicular Inter- Networking (VANET), Las Vegas, USA, 2011. [2] F. Bonomi, R. Milito, J. Zhu, and S. Addepalli, “Fog computing and its role in the internet of things,” in Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, ser. MCC’12. ACM,2012, pp. 13–16.
  22. 22. Thank You