Jain College of EngineeringT.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

FOG COMPUTING

CONTENTS:

Introduction.

Existing System.

Proposed System.

Securing Clouds With Fog

Security Issues.

Example.

Privacy Issues.

Conclusion.

References.

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.

Fog

Cloud

Locations

Edge

Core

Simple Three Level Hierarchy

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.

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

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.

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.

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.

SECURING CLOUDS WITH FOG

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.

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.

Fog computing architecture

ADMINADMIN

OPERATIONS

ANSWER TO

QUESTIONSLOGIN

USER

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

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

• 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

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.

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 .

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.

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.

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.

Thank You