Fog computing is a method of processing data locally on smart devices rather than sending all data to the cloud. This reduces network congestion and latency. The existing cloud computing model does not adequately secure user data from unauthorized access. The proposed fog computing system would distribute computing across decentralized edge devices, keeping data closer to users and improving security and privacy over traditional cloud systems. However, fog computing may still face security and privacy challenges that need to be addressed.

1. FOG COMPUTING
VEERA KISHORE.VUTT

2. CONTENTS:
 Fog computing
 Existing system
 Disadvantages
 Proposed system
 Advantages
 Disadvantages
 Conclusion

3.  That concentration means that data can be
processed locally in smart devices rather than
being sent to the cloud for processing. Fog
computing is one approach to dealing with the
demands of the ever-increasing number of
Internet-connected devices sometimes referred to
as the Internet of Things (IoT).

4. Fog
Cloud
Locations
Edge
Core

5. 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

6. 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.

7. 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.

8. Limitations overcomes in fog:
 reduction in data movement across the network
resulting in reduced congestion
 elimination of bottlenecks resulting from
centralized computing systems
 improved security of encrypted data as it stays
closer to the end user

9. DISADVANTAGES:
SECURITY ISSUES.
 PRIVACY ISSUES.

10. VEERAKISHORE.VUT
TI