fog computing by KRISHNA

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FUTURE INSTITUTE OF ENGINEERING MANAGEMENT
,KOLKATA
GROUP-03 PRESENTS FOG COMPUTING

• A NEW STAR IN
  THE CLOUD UNIVERSE

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GROUP-03KRISHNA KINKAR
JHAUJJAWAL KUMAR CHOUDHARYSHASHI KANT
KUMARARGHA SEN SHARMAGROUP-MENTORMr.
PRASHANT MAJUMDAR
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CONTENTS KRISHNA

• EXISTING SYSTEM(...)
• DISADVANTAGES
• CLOUD COMPUTING SECURITY THREATS.
• PROPOSED SYSTEM(FOG COMPUTING)
• CHARACTERISTICS
• USER BEHAVIOUR PROFILING
• DECOY SYSTEM
• SECURITY MEASURES
• APPLICATION OF FOG COMPUTING
• SECURITY AND PRIVACY IN FOG COMPUTING
• CONCLUSION
• FUTURE SCOPE.

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EXISTING SYSTEM CLOUD COMPUTING

• CLOUD COMPUTING IS A MODEL FOR ENABLING
• COVENIENT,ON DEMAND NETWORK ACCESS TO A
  SHARED POOL OF CONFIGRABLE COMPUTING
  RESOURCES THAT CAN BE RAPIDLY PROVISIONED AND
  RELEASED WITH MINIMAL MANAGEMENT EFFORT.

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CLOUD COMPUTING UTILITY
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CLOUD MARKET
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WHY ADVANCEMENT NEEDED

• ENCRYPTION WAS FAILED IN SECURING THE DATA FROM
  THE ATTACKER.
• IT DOES NOT VERIFY WHETHER THE USER IS AUTHORISED
  OR NOT.
• NO BODY IS IDENTIFIED WHEN THE ATTACK HAPPENS.
• IT IS COMPLEX TO DETECT WHICH USER IS ATTACK.
• WE CANT DETECT WHICH FILE IS BEING HACKED.
• LATENCY TOO HIGH.
• RESILIENCY IMPRACTICAL.

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CLOUD COMPUTING SECURITY THREATS

• INSECURE APPLICATION PROGRAMMING INTERFACE.
• MALICIOUS INSIDERS.
• SHARED TECHNOLOGY VULNERABILITY.
• DATA LOSS/LEAKAGE.
• ACCOUNT,SERVICE TRAFFIC HIJACKING.
• UNKNOWN RISK PROFILE.

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PROPOSED SYSTEM UJJAWAL
(FOG COMPUTING)

• DATA PROCESSING AND APPLICATIONS ARE CONCENTRATED
  IN DEVICES AT THE NETWORK EDGE RATHER THAN THE
  CLOUD.
• PROPOSED TO SECURE USERS DATA IN CLOUD USING-
• USER BEHAVIOUR PROFILING.
• DECOY INFORMATION TECHNOLOGY.
  
  
  
• IN THIS TECHNIQUE WHEN THE UNAUTHORISED PERSON
  TRY TO ACCESS THE DATA, SYSTEM GENERATES THE FAKE
  DOCUMENTS.
• DEVICES COMMUNICATE PEER-TO-PEER TO EFFICIIENTLY
  STORE/SHARE DATA AND TAKE LOCAL DECISIONS.

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CHARACTERISTICS

• SECURITY
• - STRONG SECURITY (HARDWARE ROOT OF TRUST)
• - RESILIENCY/FAULT TOLERANCE.
• PROGRAMMABILITY
• - MULTIPLE APPLICATION SUPPORT.
• - VERSATILITY IN OPERATING ENVIRONMENT.
  
• REAL TIME FEATURES
• - DETERMINISTIC TIMING CAPABILITIES.
• SUPPORTS MULTIPLE OPERATING PLATFORMSUNIX,WINDOWS
  ,MAC etc.
• EMPLOYS SIMPLE,FAST AND STANDARIZED IOT INTERNET
  PROTOCOLS(TCP/IP ,SOCKETS etc.).
• RUNS ON AFFORDABLE,OFF THE SHELF COMPUTING
  TECHNOLOGIES.

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FOG COMPUTING SERVICE COVER

• APPLICATIONS THAT REQUIRE VERY LOW AND
  PREDICTABLE LATENCY.
• GEOGRAPHICALLY DISTRIBUTED APPLICATIONS.
• FAST MOBILE APLICATIONS.
• LARGE SCALE DISTRIBUTED CONTROL SYSTEMS.
• IMPROVES QUALITY OF SERVICE.

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ADVANTAGES OF FOG COMPUTING

• FOG AIMS TO PLACE THE DATA CLOSE TO THE END
  USERS.
• BIG DATA AND ANALYTICS CAN BE DONE FASTER WITH
  BETTER RESULTS.
• ADMINISTRATORS ARE ABLE TO SUPPORT LOCATION BASED
  MOBILIY DEMANDS AND NOT HAVE TO TRAVERSE THE
  ENTIRE NETWORK.
• ENHANCE THE CLOUD EXPERIENCE BY ISOLATING USER
  DATA THAT NEEDS TO LIVE ON THE EDGE .

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SECURING CLOUDS USING FOG
(USER BAHAVIOUR PROFILING)

• IT INCLUDES VOLUMETRIC INFORMATION,HOW MANY
  INFORMATIONS ARE TYPICALLY READ AND HOW OFTEN.
• NORMAL USER BEHAVIOR IS CONTINUOUSLY CHECKED
  TO DETERMINE ABNORMAL ACCESS .
• THIS SECURITY IS COMMONLY USED IN FRAUD DETECTION
  APPLICATION.

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DECOY SYSTEM

• IN THIS SYSTEM BOGUS INFORMATION CAN BE GENERATED
  ON DEMAND.
• IT WILL CONFUSE AN ATTACKER.
• THIS TECHNOLOGY CAN BE INTEGRATED WITH USER
  BAHAVIOR PROFILING TO SECURE A USERS DATA IN YHE
  CLOUD.

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FOG COMPUTING ARCHITECTURE
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SECURITY MEASURES SHASHI KANT

• ANOMALY DETECTION
• COMPARED WITH THE PAST BEHAVIOUR OF USER.IF
  THE USER BEHAVIOUR IS EXCEEDING A LIMIT THEN THE
  REMOTE USER IS SUSPECTED TO BE ANOMALY.
• CHALLENGE REQUEST
• SUSPECTED USER IS ASKED FOR RANDOMLY
  SELECTED SECRET QUESTIONS.

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APPLICATION OF FOG COMPUTING

• SOFTWARE DEFINED NETWORKS(SDN)
• SDN CONCEPT TOGETHER WITH FOG WILL RESOLVE
  THE ISSUE IN VEHICULAR NETWORKS , INTERMITTENT
  CONNECTIVITY , COLLISION AND HIGH PACKET LOSS
  RATE.
• IoT AND CYBER-PHYSICAL SYSTEMS(CPSs)
• INTEGRATE THE ABSTRACTIONS AND PRECISION OF
  SOFTWARE AND NETWORKING WITH THE DYNAMICS IN THE
  PHYSICAL ENVIRONMENT.
• DECENTRALIZED SMART BUILDING CONTROL
• WITH FOG COMPUTING ,SMART BUILDING CAN MAINTAIN
  THEIR FABRIC,EXTERNAL AND INTERNAL ENVIRONMENTS.

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SECURITY PRIVACY IN
FOG COMPUTING

• AUTHENTICATION AT DIFFERENT LEVELS OF GATEWAYS.
• SMART METERS INSTALLED IN THE CONSUMERS HOME.
• PUBLIC KEY INFRASTRUCTURE(PKI) WHICH INVOLVE
  MULTICAST AUTHENTICATION.
• INTRUSIONS CAN BE DETECTED USING SIGNATURE BASED
  METHOD.
• INTRUSION CAN ALSO BE CAPTURED BY USING AN
  ANOMALY-BASED METHOD.

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CONCLUSION

• FOG COMPUTING IS NOT A REPLACEMENT OF CLOUD.
• IT JUST EXTENDS THE CLOUD COMPUTING BY PROVIDING
  SECURITY IN THE CLOUD ENVIRONMENT.
• IT IS A NEW APPROACH FOR SECURING DATA IN THE
  CLOUD BY USING OFFENSIVE DECOY TECHNOLOGY.
• IT MONITORS DATA ACCESS IN THE CLOUD AND DETECTS
  ABNORMAL DATA ACCESS PATTERNS.
• BY USING FOG TECHNOLOGY CAN MINIMIZE INSIDER
  ATTACKS IN CLOUD

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FUTURE SCOPE

• APPLICABLE ONLY FOR SINGLE CLOUD OWNERSHIP
  SYSTEM.
• FOG APPLICATION CAN BE ENHANCEDTO MANAGE A CLOUD
  ENVIRONMENT WHICH HAS MORE THAN ONE CLOUD
  ARCHITECTURE.

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