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Cloud Computing : Security and Forensics



                          Govind Maheswaran
                          govindmaheswaran@gmail.com
                          facebook.com/govindmaheswaran
                          twitter.com/RestlessMystic
Cloud Computing


     Cloud security



       Risk Assesment


     Cloud Forensics

Conclusion
“The cloud is for everyone.
The cloud is a democracy.”
Cloud computing is a model for enabling convenient, on-demand
network access to a shared pool of configurable computing resources
(e.g., networks, servers, storage, applications, and services) that can
be rapidly provisioned and released with minimal management effort
      or service provider interaction. This cloud model promotes
 availability and is composed of five essential characteristics, three
             service models, and four deployment models



 In Simple English,

I can get my data when I want, over some kind of network, and even though
  the data might be coming from different places and my computing power
  shared with others, somehow the back end is going to scale up or down to
       fulfill my needs, and interestingly, bills me for only what I use.
On-Demand         • Unilaterally provision computing capabilities as needed
                    automatically, without requiring human interaction with a
 Self-Service       service provider


   Resource        • The provider’s computing resources are pooled to serve multiple
                     consumers using a multi-tenant model
    Pooling        • Shared pools are assigned and reallocated as per requirement


                   • Upgrade? More memory required? New software version?
Rapid Elasticity     Incompatibility with current version?
                   • “The Cloud Almighty” has it all…


Broad Network      • Available over the network and accessed through standard
    Access           mechanisms



   Measured        • Metering capability
                   • Resource usage can be monitored, controlled, and reported —
    Service          providing transparency for both the provider and consumer
•Servers and Network            •Cloud OS and Platforms         •User gets the software as
 connections.                   •All the user needs is to        a web service.
•User needs to install           put up his applications.       •Eg : Google Docs, Office
 Required OS and Platform       •Eg : Windows Hyper V            365, Amazon S3
 and Applications.(some          Cloud, Amazon EC2
 vendors provide OS)
•Eg: Windows Azure

Infrastructure                  Platform as a                   Software as a
as a Service                    Service                         Service
[IaaS]                          [PaaS]                          [SaaS]



   Processor                                        Runtime               Application
                            Operating
    Memory                                            API                 Web Service
                             System
    Storage                                        Web Server               Web UI
Public Cloud    Community
                  Cloud




Private Cloud   Hybrid Cloud
Cloud Computing : Security and Forensics
Compute


                                   Storage




Database             Transaction
• Scale vs. Cost          • Lack of Control
Pros




                          Cons
       • Multiplatform           • Reliability
         support                   Issues
       • Encapsulated            • Lock In
         Change                  • Data out of
         Management                Premises
       • Next-Gen                • Security
         Architecture
“They're certainly a threat, and would be easy to make malicious.”




                         “The technology demands of the
                           cybersecurity adviser's job are
                                       relatively trivial..”
* Cloud is a relatively newer technology. So, its
 security domains are not fully known.
* Cloud based Security Risks => CRISKS


  * Hardware
  * Data
  * Applications
  * (in short, everything in the cloud)

Some major security Issues are discussed in the following slides
Cloud Computing : Security and Forensics
•   Any kind of intentional and un-intentional malicious activity
    carried out or executed on a shared platform may affect the
    other tenants and associated stake holders.
•   Eg : Blocking of IP Ranges, Confiscation of resources etc
•   Sudden increase in the resource usage by one application can
    drastically affect the performance and availability of other
    applications shared in the same cloud infrastructure.
•   Bankruptcy and catastrophes does not come with an early
    warning.
•   Such a run-on-the-cloud may lead to acquisitions or mergers.
•   Sudden take over can result in a deviation from the agreed
    Terms of Use & License Agreement which may lead to a Lock-
    In situation.
•   Migrating from cloud is difficult, as different cloud providers
    use various OS n middleware and APIs
•   Also, sudden change of provider policies may make the user
    stuck with the cloud.
•   The user may want to quit, but he cannot as his data is in the
    cloud.
•   Lock-In Situation
•   Handled by the Provider
•   User rarely has information about the protection facilities.
•   Prevent unauthorized access by the priviledged employees of
    Service Provider
•   The service provider may be following good security
    procedures, but it is not visible to the customers and end
    users.
•   May be due to security reasons.
•   End user questions remains un-answered:
     •   how the data is backed up, who back up the data,whether the cloud service
                         provider does it or has they outsourced to some third party,
•   Confidential data remains confidential.
•   The information deleted by the customer may be available to
    the cloud solution provider as part of their regular backups.
•    Insecure and inefficient deletion of data where true data
    wiping is not happening, exposing the sensitive information
    to other cloud users.
•   Vulnerabilities applicable to programs running in the
    conventional systems & networks are also applicable to cloud
    infrastructure.
•    It also requires application security measures (application-
    level firewalls) be in place in the production environment.
•   The cloud provider maintains logs of none/some/all of the
    cloud activities
•   The end user has no access to these logs,neither are they
    aware of what exactly are being logged.
•   Security testing is a process to determine that an information
    system protects data and maintains functionality as intended.
•   Cloud security testing is futile, due to the following reasons.
        Permission Issues
        If a user traverse through unauthorised areas of a cloud,
         he may reach a black hole.
        An application is tested today and found vulnerable or
         not, how do you know that the app tested tomorrow is
         the same one that was tested yesterday?
“Who protects my data?”




                   “Are we to skip on-site inspections,
                         discoverability, and complex
                                encryption schemes..”
•   Although Cloud can be considered a failure in terms of
    Security, there are still many takers for it.
•   This is mainly due to the Multi-tenancy(cost sharing) aspect.
•   A risk based approach needs to be adopted, after considering
    the profit and loss involved in moving the assets to the cloud.



                       An RA Framework is
                     presented in the coming
                             slides…
Map the
                                      Evaluate
                          asset to
                                        Cloud     Sketch the
 Identify   Evaluate      Existing
                                       Service     Potential
the Asset   The Asset      cloud
                                     Models and   Data Flow
                        Deployment
                                      Providers
                          Models
Map the
                                                   Evaluate
                                  asset to
                                                     Cloud         Sketch the
 Identify       Evaluate          Existing
                                                    Service         Potential
the Asset       The Asset          cloud
                                                  Models and       Data Flow
                                Deployment
                                                   Providers
                                  Models




  • Assets can be Data or Applications. Choose which all needs to be
    migrated to the cloud.
  • In cloud, data and application need not reside at the same location.
  • Thus,even parts of functions can be shifted to the cloud.
  • Make the choice based upon current data usage, and potential data
    usage.
Map the
                                                    Evaluate
                                   asset to
                                                      Cloud            Sketch the
 Identify        Evaluate          Existing
                                                     Service            Potential
the Asset        The Asset          cloud
                                                   Models and          Data Flow
                                 Deployment
                                                    Providers
                                   Models




  • Determine how Important and sensitive the asset is to the
    organisation.
  • In short, evaluate the asset on the basis of Confidentiality and
    availability.
Map the
                                                  Evaluate
                                  asset to
                                                    Cloud         Sketch the
 Identify       Evaluate          Existing
                                                   Service         Potential
the Asset       The Asset          cloud
                                                 Models and       Data Flow
                                Deployment
                                                  Providers
                                  Models




  • Determine which deployment model is good for the organizational
    requirement
  • Decide whether the organization can accept the risks implicit to the
    various deployment models (private, public, community, or hybrid).
Map the
                                                Evaluate
                                 asset to
                                                  Cloud        Sketch the
 Identify      Evaluate          Existing
                                                 Service        Potential
the Asset      The Asset          cloud
                                               Models and      Data Flow
                               Deployment
                                                Providers
                                 Models




  • Determine which service deployment model is good for the
    organizational requirement
  • Decide whether the organization is competent enough to implement
    the extra layers (in case of IaaS or PaaS)
Map the
                                                Evaluate
                                 asset to
                                                  Cloud         Sketch the
 Identify      Evaluate          Existing
                                                 Service         Potential
the Asset      The Asset          cloud
                                               Models and       Data Flow
                               Deployment
                                                Providers
                                 Models




  • Required to analyse how and when data will move In and Out the
    cloud..
“They're certainly a threat, and would be easy to make malicious.”




                                          “Quiet as the forest”
DEFINITION:
   “The use of scientifically derived and proven methods toward
  the preservation, collection, validation, identification, analysis,
     interpretation, documentation and presentation of digital
      evidence derived from digital sources for the purpose of
facilitating or furthering the reconstruction of events found to be
 criminal, or helping to anticipate unauthorized actions shown to
                be disruptive to planned operations.”


Cloud Forensics refers to the usage of Digital Forensics Science in
                   Cloud computing models.
•   Cloud forensics is more cost effective than conventional
    Digital forensic methodologies.
•   In case a cloud need to be shut down for data collection,it can
    be implemented with very less extra work (transfering data to
    another data center within the same cloud)
•   Forensics may be implemented as a Cloud Service.
Legal Regulations
       Legal & regulatory requirements and compliances may be
       lacking in the location(s) where the data is actually stored.
Record Retention Policies
       There exists no standardized logging format for the cloud.
       Each provider logs in different formats, making log
       crunching for forensics difficult in case of Cloud.
Identity Management
       There exists no proper KYC norms in case of Cloud
       Providers. Anyone with a credit card can purchase a cloud
       account.
Continously Overwriten Logs
          The cloud keeps working, and its logs are replicated and
          overwritten continously. So it poses a great challenge to
          the forensic scientist to spot the state of the log file at the
          time of an attempted crime..
Admissibility
          Along with finding the evidence, the scientist must also
          prove it to a legal non technical person. This part is worser
          than the real forensics process.
Privacy
          Someone hacked something somewhere. Why should a
          Forensic guy check the data that i have put in my cloud ..?
Cloud Computing : Security and Forensics
• Cloud is changing the way systems and services are
 provided and utilized.
• The more informed IT departments are about the cloud,
 the better the position they will be in when making
 decisions about deploying, developing, and maintaining
 systems in the cloud.
• With so many different cloud deployment and service
 models, and their hybrid permutations - no list of security
 controls can cover all these circumstances.
• Cloud has just crossed its inception states, and Researches
 on cloud security are still going on.
• Use a Risk Assesment framework before data is put on the
 cloud.
• Cloud forensics, being younger than Cloud computing, has
 very less to offer as of now.
• Watch your activities, keep in touch with your cloud
 service provider, read the user manual carefully.
•   Cloud Security Alliance, a non Profit Cloud Evangelists Group
                                     https://cloudsecurityalliance.org/
•   Microsoft Corporation, Windows Azure
                            http://www.microsoft.com/windowsazure
•   IEEE Paper “Cloud Computing: The impact on digital forensic
    investigations “
•   IEEE Paper “Cloud computing: Forensic challenges for law
    enforcement “
•   Cyber Forensics by Albert J Marcella and Robert greenfield
Cloud Computing : Security and Forensics
Drop me a mail : govindmaheswaran@gmail.com

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Cloud Computing : Security and Forensics

  • 1. Seminar on Cloud Computing : Security and Forensics Govind Maheswaran govindmaheswaran@gmail.com facebook.com/govindmaheswaran twitter.com/RestlessMystic
  • 2. Cloud Computing Cloud security Risk Assesment Cloud Forensics Conclusion
  • 3. “The cloud is for everyone. The cloud is a democracy.”
  • 4. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment models In Simple English, I can get my data when I want, over some kind of network, and even though the data might be coming from different places and my computing power shared with others, somehow the back end is going to scale up or down to fulfill my needs, and interestingly, bills me for only what I use.
  • 5. On-Demand • Unilaterally provision computing capabilities as needed automatically, without requiring human interaction with a Self-Service service provider Resource • The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model Pooling • Shared pools are assigned and reallocated as per requirement • Upgrade? More memory required? New software version? Rapid Elasticity Incompatibility with current version? • “The Cloud Almighty” has it all… Broad Network • Available over the network and accessed through standard Access mechanisms Measured • Metering capability • Resource usage can be monitored, controlled, and reported — Service providing transparency for both the provider and consumer
  • 6. •Servers and Network •Cloud OS and Platforms •User gets the software as connections. •All the user needs is to a web service. •User needs to install put up his applications. •Eg : Google Docs, Office Required OS and Platform •Eg : Windows Hyper V 365, Amazon S3 and Applications.(some Cloud, Amazon EC2 vendors provide OS) •Eg: Windows Azure Infrastructure Platform as a Software as a as a Service Service Service [IaaS] [PaaS] [SaaS] Processor Runtime Application Operating Memory API Web Service System Storage Web Server Web UI
  • 7. Public Cloud Community Cloud Private Cloud Hybrid Cloud
  • 9. Compute Storage Database Transaction
  • 10. • Scale vs. Cost • Lack of Control Pros Cons • Multiplatform • Reliability support Issues • Encapsulated • Lock In Change • Data out of Management Premises • Next-Gen • Security Architecture
  • 11. “They're certainly a threat, and would be easy to make malicious.” “The technology demands of the cybersecurity adviser's job are relatively trivial..”
  • 12. * Cloud is a relatively newer technology. So, its security domains are not fully known. * Cloud based Security Risks => CRISKS * Hardware * Data * Applications * (in short, everything in the cloud) Some major security Issues are discussed in the following slides
  • 14. Any kind of intentional and un-intentional malicious activity carried out or executed on a shared platform may affect the other tenants and associated stake holders. • Eg : Blocking of IP Ranges, Confiscation of resources etc • Sudden increase in the resource usage by one application can drastically affect the performance and availability of other applications shared in the same cloud infrastructure.
  • 15. Bankruptcy and catastrophes does not come with an early warning. • Such a run-on-the-cloud may lead to acquisitions or mergers. • Sudden take over can result in a deviation from the agreed Terms of Use & License Agreement which may lead to a Lock- In situation.
  • 16. Migrating from cloud is difficult, as different cloud providers use various OS n middleware and APIs • Also, sudden change of provider policies may make the user stuck with the cloud. • The user may want to quit, but he cannot as his data is in the cloud. • Lock-In Situation
  • 17. Handled by the Provider • User rarely has information about the protection facilities. • Prevent unauthorized access by the priviledged employees of Service Provider
  • 18. The service provider may be following good security procedures, but it is not visible to the customers and end users. • May be due to security reasons. • End user questions remains un-answered: • how the data is backed up, who back up the data,whether the cloud service provider does it or has they outsourced to some third party,
  • 19. Confidential data remains confidential. • The information deleted by the customer may be available to the cloud solution provider as part of their regular backups. • Insecure and inefficient deletion of data where true data wiping is not happening, exposing the sensitive information to other cloud users.
  • 20. Vulnerabilities applicable to programs running in the conventional systems & networks are also applicable to cloud infrastructure. • It also requires application security measures (application- level firewalls) be in place in the production environment.
  • 21. The cloud provider maintains logs of none/some/all of the cloud activities • The end user has no access to these logs,neither are they aware of what exactly are being logged.
  • 22. Security testing is a process to determine that an information system protects data and maintains functionality as intended. • Cloud security testing is futile, due to the following reasons.  Permission Issues  If a user traverse through unauthorised areas of a cloud, he may reach a black hole.  An application is tested today and found vulnerable or not, how do you know that the app tested tomorrow is the same one that was tested yesterday?
  • 23. “Who protects my data?” “Are we to skip on-site inspections, discoverability, and complex encryption schemes..”
  • 24. Although Cloud can be considered a failure in terms of Security, there are still many takers for it. • This is mainly due to the Multi-tenancy(cost sharing) aspect. • A risk based approach needs to be adopted, after considering the profit and loss involved in moving the assets to the cloud. An RA Framework is presented in the coming slides…
  • 25. Map the Evaluate asset to Cloud Sketch the Identify Evaluate Existing Service Potential the Asset The Asset cloud Models and Data Flow Deployment Providers Models
  • 26. Map the Evaluate asset to Cloud Sketch the Identify Evaluate Existing Service Potential the Asset The Asset cloud Models and Data Flow Deployment Providers Models • Assets can be Data or Applications. Choose which all needs to be migrated to the cloud. • In cloud, data and application need not reside at the same location. • Thus,even parts of functions can be shifted to the cloud. • Make the choice based upon current data usage, and potential data usage.
  • 27. Map the Evaluate asset to Cloud Sketch the Identify Evaluate Existing Service Potential the Asset The Asset cloud Models and Data Flow Deployment Providers Models • Determine how Important and sensitive the asset is to the organisation. • In short, evaluate the asset on the basis of Confidentiality and availability.
  • 28. Map the Evaluate asset to Cloud Sketch the Identify Evaluate Existing Service Potential the Asset The Asset cloud Models and Data Flow Deployment Providers Models • Determine which deployment model is good for the organizational requirement • Decide whether the organization can accept the risks implicit to the various deployment models (private, public, community, or hybrid).
  • 29. Map the Evaluate asset to Cloud Sketch the Identify Evaluate Existing Service Potential the Asset The Asset cloud Models and Data Flow Deployment Providers Models • Determine which service deployment model is good for the organizational requirement • Decide whether the organization is competent enough to implement the extra layers (in case of IaaS or PaaS)
  • 30. Map the Evaluate asset to Cloud Sketch the Identify Evaluate Existing Service Potential the Asset The Asset cloud Models and Data Flow Deployment Providers Models • Required to analyse how and when data will move In and Out the cloud..
  • 31. “They're certainly a threat, and would be easy to make malicious.” “Quiet as the forest”
  • 32. DEFINITION: “The use of scientifically derived and proven methods toward the preservation, collection, validation, identification, analysis, interpretation, documentation and presentation of digital evidence derived from digital sources for the purpose of facilitating or furthering the reconstruction of events found to be criminal, or helping to anticipate unauthorized actions shown to be disruptive to planned operations.” Cloud Forensics refers to the usage of Digital Forensics Science in Cloud computing models.
  • 33. Cloud forensics is more cost effective than conventional Digital forensic methodologies. • In case a cloud need to be shut down for data collection,it can be implemented with very less extra work (transfering data to another data center within the same cloud) • Forensics may be implemented as a Cloud Service.
  • 34. Legal Regulations Legal & regulatory requirements and compliances may be lacking in the location(s) where the data is actually stored. Record Retention Policies There exists no standardized logging format for the cloud. Each provider logs in different formats, making log crunching for forensics difficult in case of Cloud. Identity Management There exists no proper KYC norms in case of Cloud Providers. Anyone with a credit card can purchase a cloud account.
  • 35. Continously Overwriten Logs The cloud keeps working, and its logs are replicated and overwritten continously. So it poses a great challenge to the forensic scientist to spot the state of the log file at the time of an attempted crime.. Admissibility Along with finding the evidence, the scientist must also prove it to a legal non technical person. This part is worser than the real forensics process. Privacy Someone hacked something somewhere. Why should a Forensic guy check the data that i have put in my cloud ..?
  • 37. • Cloud is changing the way systems and services are provided and utilized. • The more informed IT departments are about the cloud, the better the position they will be in when making decisions about deploying, developing, and maintaining systems in the cloud. • With so many different cloud deployment and service models, and their hybrid permutations - no list of security controls can cover all these circumstances. • Cloud has just crossed its inception states, and Researches on cloud security are still going on.
  • 38. • Use a Risk Assesment framework before data is put on the cloud. • Cloud forensics, being younger than Cloud computing, has very less to offer as of now. • Watch your activities, keep in touch with your cloud service provider, read the user manual carefully.
  • 39. Cloud Security Alliance, a non Profit Cloud Evangelists Group https://cloudsecurityalliance.org/ • Microsoft Corporation, Windows Azure http://www.microsoft.com/windowsazure • IEEE Paper “Cloud Computing: The impact on digital forensic investigations “ • IEEE Paper “Cloud computing: Forensic challenges for law enforcement “ • Cyber Forensics by Albert J Marcella and Robert greenfield
  • 41. Drop me a mail : govindmaheswaran@gmail.com