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cloud security using Fog Computing

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providing security to the cloud using new technology called Fog computing.

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cloud security using Fog Computing

  1. 1. ARCHANA LISBON (IV MCA) GUIDE:R.KAVITHA RESEARCH PAPER PRESENTATION 1
  2. 2. RESEARCH TOPIC CLOUD AND FOG COMPUTING 2
  3. 3. 1. To understand the security issues in cloud and to identify the appropriate security techniques by Fog computing 2. To suggest any Algorithms for the future challenges to be faced in Cloud Computing. 3
  4. 4. 1. Introduction to Cloud computing 2. Introduction to Fog computing. 3. Characteristics of FOG Computing. 4. Architecture of FOG computing. 5. Applications of FOG computing. 6. Why fog computing? 7. How Fog helps Cloud? 4
  5. 5. 5
  6. 6. Cloud Definition Cloud computing is a delivery platform which promises a new way of accessing and storing personal as well as business information. Cloud computing, often referred to as simply “ cloud,” is the delivery of on-demand computing resources—everything from applications to data centers—over the Internet on a pay-for-use basis. 6
  7. 7. Cloud Providers  Amazon  Google  Microsoft  IBM 7
  8. 8. Breakfast in Paris, dinner in London, data in Washington 8
  9. 9. 9
  10. 10. Security Issues in cloud Integrity Availability Confidentiality 10
  11. 11. Areas for security concerns in cloud (1) Data at rest (2) Data in transit (3) Authentication (4) Separation between customers (5) Cloud legal and regulatory issues and (6) Incident response. 11
  12. 12. 1.Dataatrest 2.Dataintransit 3.Authentication 4.Separationbetweencustomers 5.Cloudlegalandregulatoryissuesand 6.Incidentresponse. 12
  13. 13. Attacks in cloud 1. Internal attack 2. External attack 13
  14. 14. Types of attackers 1. Random 2. Weak 3. Strong 4. Substantial 14
  15. 15. ISSUES WITH THE CLOUD:  Security issues  Difficult to handle huge amount of the data. 15
  16. 16. Problems with Data  Data Lost  Data Theft  Data Leakage  Data Misuse 16
  17. 17. Fog Computing  Fog computing is a paradigm which extends cloud computing paradigm to the edge of the network.  The Terms Edge Computing and Fog Computing are often used interchangeably.  Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. This enables new breed of applications and services. 17
  18. 18. WHY DO WE NEED FOG? When techniques and devices of IoT are getting more involved in people’s life, current Cloud computing paradigm can hardly satisfy their requirements of mobility support, location awareness and low latency 18
  19. 19. Cloud and Fog 19
  20. 20. Goal of Fog  Improve efficiency  Reduce the amount of data that needs to be transported to the cloud for data processing analysis and storage. 20
  21. 21. Overview of Fog 21
  22. 22. Architecture of Fog 22
  23. 23. Characteristics Wide-spread geographical distribution  Mobility Very large number of node  Predominant role of wireless access 23
  24. 24. Application of Fog  Internet of things (IoT) Example: Home Automation Smart City  Provides security for the data in cloud 24
  25. 25. How Fog provides data Security In Cloud? 25
  26. 26. Techniques Used By Fog  User Profiling  Decoy Technique 26
  27. 27. User Profiling  This method of behavior based security is commonly used in fraud detection applications.  This technique usually observes the users search behavior’s it can easily differentiate between normal user and unauthorized user.  This method is generally used in fraud detection applications. 27
  28. 28. Decoy Technique Decoy serves two purposes 1.Validating whether the data is authorized 2. Misleading the user with false or bogus information 28
  29. 29. Example 29
  30. 30. How DECOY works? Hash Message Authentication Code (HMAC) MD5 processes a document of variable length into a fixed length output of 128 bits. 1. Variable length to fixed length output. 2. Input n-bit blocks 3. Input divided into 512 bit blocks 4. Padding is done 5. Buffer initialization 6. Output 128 bit 30
  31. 31. MD 5 Algorithm 31
  32. 32. Advantages (1) The detection of masquerade activity (2) The confusion of the attacker and the additional costs incurred to identify the real information from bogus information. 3) The combination of the two techniques: The combination of user behavior profiling with decoy technology provides a strong evidence of illegal access and helps improve accuracy of detection. 32
  33. 33. References 1. Salvatore J. Stolfo, Malek Ben Salem,Angelos D. Keromytis, Fog Computing: Mitigating Insider DataTheft Attacks in the Cloud, IEEE symposium on security and privacy workshop (SPW) year 2012 2. Brian M. Bowen, Shlomo Hershkop, Angelos D. Keromytis, Salvatore J. Stolfo, Baiting Inside Attackers Using Decoy Documents, Department of Computer Science, Columbia University,NewYork, NY 10027 3. Malek Ben Salem and Salvatore J. Stolfo, Decoy Document Deployment for E_ective Masquerade Attack Detection, Computer Science Department,Columbia University NewYork, NewYork 10027, USA. 4.Flavio Bonomi, Rodolfo Milito, Jiang Zhu, Sateesh Addepalli, Fog Computing and Its Role in the Internet ofThings, 170WTasman Dr. San Jose, CA 95134, USA 33
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