Cryptographic techniques for securing
data in cloud computing environments
Introduction
Cloud computing delivers on-demand IT services over the internet through a
pay-as-you-go model of shared infrastructure and resources. However, the
multi-tenancy nature of cloud also introduces security vulnerabilities since
customer data is stored and processed across pooled resources outside
direct customer control. Cryptography plays a vital role in addressing risks
like data breaches, insider threats, unauthorized access, software
vulnerabilities and outages through measures ensuring confidentiality,
integrity and availability of data. This paper discusses cryptographic
techniques used for securing customer data across major cloud service
models.
Security Requirements in Cloud Computing
Key security requirements for cloud environments include:
- Confidentiality: Prevent unauthorized access to sensitive data at rest, in
transit or in use across the shared cloud platform.
- Integrity: Detect any manipulation or alteration of data by unauthorized
entities.
- Availability: Ensure services and data remain accessible to authorized users
as per agreed service levels.
- Compliance: Adherence to regulatory mandates around data sovereignty,
privacy and disclosure.
- Authentication: Validate identities of users and services interacting with
data.
- Non-repudiation: Undisputed proof of data origin, transmission and
modification.
- Audit and monitoring: Track access patterns and analyze for anomalies or
policy violations.
Securing Data in Use and in Transit
Cryptography ensures confidentiality and integrity of data in use and during
transmission:
- SSL/TLS provides transport layer securityencrypting HTTP traffic between
clients/serversand validating certificates for web apps.
- HTTPS enables secure communication for native cloud apps using
client/server certificates or EAP.
- IPSec, SSL VPNs secure private WAN connections like between on-premise
infrastructure and cloud VPC networks or inter-region replication.
- Disk/volume encryption transparently encrypts data at rest on virtual disks
and file systems using keys managed externally or hardware security
modules.
- Encrypted relational databases, columnar stores encrypt and index specific
columns for queries on encrypted data.
- Homomorphic encryption enables privacy-preserving analytics directly on
encrypted data sets.
Securing Data at Rest
Storing data encrypted prevents unauthorized access in case of cloud
provider outages or insider attacks:
- Symmetric encryption tools like VeraCrypt, EncFS protect individual
files/partitions hosted on cloud VMs or object stores.
- Server-side encryption leverages storage service encryption capabilities
encrypting data before persisting to disk under provider control.
- Client-side encryption shifts responsibility to customer encrypting files
client-side before upload.
- Key management portability is crucial across cloud services using hardware
security modules, cloud KMS with multi-region redundancy.
- Blockchain techniques offer decentralized audit logs and access controls
through metadata stored in hash-linked blocks.
Data Security in Major Cloud Service Models
Cryptography enables secure adoption of key cloud services:
- Infrastructure as a Service: Whole disk encryption, SSL/IPsec tunnels for VM
orchestration/storage.
- Platform as a Service: App/database encryption, access control policies,
identity federation for PaaS APIs.
- Serverless computing: Function/trigger authentication, integrity, temporary
credentials for computing services.
- Storage Services: Server-side encryption, bucket/object ACLs, customer
managed encryption keys.
- Database Services: Encryption at rest/in transit, private links, server-side
programming for data security.
Adopting Secure Development Practices
Robust encryption, access controls alone do not guarantee cloud security.
Equal focus on development practices addressing misconfigurations and
vulnerabilities is needed:
- DevSecOps integrates security practices in development lifecycle through
automation and tooling.
- Principle of least privilege restricts consumer access profiles within
customer accounts.
- Logging/monitoring aids audit, forensics and remediation through
dashboard visibility on activities.
- Identity federation/SSO across cloud tenants facilitates MFA, Just-in-Time
access policies.
- Regular security testing and patching closes vulnerabilities timely in
provisioned resources.
Conclusion
Cryptography builds fundamental safeguards while facilitating
technical/operational compliance in cloud shared infrastructure models. Its
standard algorithms and frameworks secure confidentiality, integrity and
availability of data. Coupled with robust access controls and secure
development practices, it empowers cloud adoption meeting modern
security and privacy mandates.
Cloud computing delivers on-demand IT services over the internet through a
pay-as-you-go model of shared infrastructure and resources. However, the
multi-tenancy nature of cloud also introduces security vulnerabilities since
customer data is stored and processed across pooled resources outside
direct customer control. Cryptography plays a vital role in addressing risks
like data breaches, insider threats, unauthorized access, software
vulnerabilities and outages through measures ensuring confidentiality,
integrity and availability of data. This paper discusses cryptographic
techniques used for securing customer data across major cloud service
models.
Security Requirements in Cloud Computing
Key security requirements for cloud environments include:
- Confidentiality: Prevent unauthorized access to sensitive data at rest,
in transit or in use across the shared cloud platform.
- Integrity: Detect any manipulation or alteration of data by
unauthorized entities.
- Availability: Ensure services and data remain accessible to authorized
users as per agreed service levels.
- Compliance: Adherence to regulatory mandates around data
sovereignty, privacy and disclosure.
- Authentication: Validate identities of users and services interacting
with data.
- Non-repudiation: Undisputed proof of data origin, transmission and
modification.
- Audit and monitoring: Track access patterns and analyze for anomalies
or policy violations.
Securing Data in Use and in Transit
Cryptography ensures confidentiality and integrity of data in use and during
transmission:
- SSL/TLS provides transport layer securityencrypting HTTP traffic
between clients/serversand validating certificates for web apps.
- HTTPS enables secure communication for native cloud apps using
client/server certificates or EAP.
- IPSec, SSL VPNs secure private WAN connections like between on-
premise infrastructure and cloud VPC networks or inter-region
replication.
- Disk/volume encryption transparently encrypts data at rest on virtual
disks and file systems using keys managed externally or hardware
security modules.
- Encrypted relational databases, columnar stores encrypt and index
specific columns for queries on encrypted data.
- Homomorphic encryption enables privacy-preserving analytics directly
on encrypted data sets.
Securing Data at Rest
Storing data encrypted prevents unauthorized access in case of cloud
provider outages or insider attacks:
- Symmetric encryption tools like VeraCrypt, EncFS protect individual
files/partitions hosted on cloud VMs or object stores.
- Server-side encryption leverages storage service encryption
capabilities encrypting data before persisting to disk under provider
control.
- Client-side encryption shifts responsibility to customer encrypting files
client-side before upload.
- Key management portability is crucial across cloud services using
hardware security modules, cloud KMS with multi-region redundancy.
- Blockchain techniques offer decentralized audit logs and access
controls through metadata stored in hash-linked blocks.
Data Security in Major Cloud Service Models
Cryptography enables secure adoption of key cloud services:
- Infrastructure as a Service: Whole disk encryption, SSL/IPsec tunnels
for VM orchestration/storage.
- Platform as a Service: App/database encryption, access control
policies, identity federation for PaaS APIs.
- Serverless computing: Function/trigger authentication, integrity,
temporary credentials for computing services.
- Storage Services: Server-side encryption, bucket/object ACLs, customer
managed encryption keys.
- Database Services: Encryption at rest/in transit, private links, server-
side programming for data security.
Adopting Secure Development Practices
Robust encryption, access controls alone do not guarantee cloud security.
Equal focus on development practices addressing misconfigurations and
vulnerabilities is needed:
- DevSecOps integrates security practices in development lifecycle
through automation and tooling.
- Principle of least privilege restricts consumer access profiles within
customer accounts.
- Logging/monitoring aids audit, forensics and remediation through
dashboard visibility on activities.
- Identity federation/SSO across cloud tenants facilitates MFA, Just-in-
Time access policies.
- Regular security testing and patching closes vulnerabilities timely in
provisioned resources.
Conclusion
Cryptography builds fundamental safeguards while facilitating
technical/operational compliance in cloud shared infrastructure models. Its
standard algorithms and frameworks secure confidentiality, integrity and
availability of data. Coupled with robust access controls and secure
development practices, it empowers cloud adoption meeting modern
security and privacy mandates.
Cloud computing delivers on-demand IT services over the internet through a
pay-as-you-go model of shared infrastructure and resources. However, the
multi-tenancy nature of cloud also introduces security vulnerabilities since
customer data is stored and processed across pooled resources outside
direct customer control. Cryptography plays a vital role in addressing risks
like data breaches, insider threats, unauthorized access, software
vulnerabilities and outages through measures ensuring confidentiality,
integrity and availability of data. This paper discusses cryptographic
techniques used for securing customer data across major cloud service
models.
Security Requirements in Cloud Computing
Key security requirements for cloud environments include:
- Confidentiality: Prevent unauthorized access to sensitive data at rest, in
transit or in use across the shared cloud platform.
- Integrity: Detect any manipulation or alteration of data by unauthorized
entities.
- Availability: Ensure services and data remain accessible to authorized users
as per agreed service levels.
- Compliance: Adherence to regulatory mandates around data sovereignty,
privacy and disclosure.
- Authentication: Validate identities of users and services interacting with
data.
- Non-repudiation: Undisputed proof of data origin, transmission and
modification.
- Audit and monitoring: Track access patterns and analyze for anomalies or
policy violations.
Securing Data in Use and in Transit
Cryptography ensures confidentiality and integrity of data in use and during
transmission:
- SSL/TLS provides transport layer securityencrypting HTTP traffic between
clients/serversand validating certificates for web apps.
- HTTPS enables secure communication for native cloud apps using
client/server certificates or EAP.
- IPSec, SSL VPNs secure private WAN connections like between on-premise
infrastructure and cloud VPC networks or inter-region replication.
- Disk/volume encryption transparently encrypts data at rest on virtual disks
and file systems using keys managed externally or hardware security
modules.
- Encrypted relational databases, columnar stores encrypt and index specific
columns for queries on encrypted data.
- Homomorphic encryption enables privacy-preserving analytics directly on
encrypted data sets.
Securing Data at Rest
Storing data encrypted prevents unauthorized access in case of cloud
provider outages or insider attacks:
- Symmetric encryption tools like VeraCrypt, EncFS protect individual
files/partitions hosted on cloud VMs or object stores.
- Server-side encryption leverages storage service encryption capabilities
encrypting data before persisting to disk under provider control.
- Client-side encryption shifts responsibility to customer encrypting files
client-side before upload.
- Key management portability is crucial across cloud services using hardware
security modules, cloud KMS with multi-region redundancy.
- Blockchain techniques offer decentralized audit logs and access controls
through metadata stored in hash-linked blocks.
Data Security in Major Cloud Service Models
Cryptography enables secure adoption of key cloud services:
- Infrastructure as a Service: Whole disk encryption, SSL/IPsec tunnels for VM
orchestration/storage.
- Platform as a Service: App/database encryption, access control policies,
identity federation for PaaS APIs.
- Serverless computing: Function/trigger authentication, integrity, temporary
credentials for computing services.
- Storage Services: Server-side encryption, bucket/object ACLs, customer
managed encryption keys.
- Database Services: Encryption at rest/in transit, private links, server-side
programming for data security.
Adopting Secure Development Practices
Robust encryption, access controls alone do not guarantee cloud security.
Equal focus on development practices addressing misconfigurations and
vulnerabilities is needed:
- DevSecOps integrates security practices in development lifecycle through
automation and tooling.
- Principle of least privilege restricts consumer access profiles within
customer accounts.
- Logging/monitoring aids audit, forensics and remediation through
dashboard visibility on activities.
- Identity federation/SSO across cloud tenants facilitates MFA, Just-in-Time
access policies.
- Regular security testing and patching closes vulnerabilities timely in
provisioned resources.
Conclusion
Cryptography builds fundamental safeguards while facilitating
technical/operational compliance in cloud shared infrastructure models. Its
standard algorithms and frameworks secure confidentiality, integrity and
availability of data. Coupled with robust access controls and secure
development practices, it empowers cloud adoption meeting modern
security and privacy mandates.
Cloud computing delivers on-demand IT services over the internet through a
pay-as-you-go model of shared infrastructure and resources. However, the
multi-tenancy nature of cloud also introduces security vulnerabilities since
customer data is stored and processed across pooled resources outside
direct customer control. Cryptography plays a vital role in addressing risks
like data breaches, insider threats, unauthorized access, software
vulnerabilities and outages through measures ensuring confidentiality,
integrity and availability of data. This paper discusses cryptographic
techniques used for securing customer data across major cloud service
models.
Security Requirements in Cloud Computing
Key security requirements for cloud environments include:
- Confidentiality: Prevent unauthorized access to sensitive data at rest, in
transit or in use across the shared cloud platform.
- Integrity: Detect any manipulation or alteration of data by unauthorized
entities.
- Availability: Ensure services and data remain accessible to authorized users
as per agreed service levels.
- Compliance: Adherence to regulatory mandates around data sovereignty,
privacy and disclosure.
- Authentication: Validate identities of users and services interacting with
data.
- Non-repudiation: Undisputed proof of data origin, transmission and
modification.
- Audit and monitoring: Track access patterns and analyze for anomalies or
policy violations.
Securing Data in Use and in Transit
Cryptography ensures confidentiality and integrity of data in use and during
transmission:
- SSL/TLS provides transport layer securityencrypting HTTP traffic between
clients/serversand validating certificates for web apps.
- HTTPS enables secure communication for native cloud apps using
client/server certificates or EAP.
- IPSec, SSL VPNs secure private WAN connections like between on-premise
infrastructure and cloud VPC networks or inter-region replication.
- Disk/volume encryption transparently encrypts data at rest on virtual disks
and file systems using keys managed externally or hardware security
modules.
- Encrypted relational databases, columnar stores encrypt and index specific
columns for queries on encrypted data.
- Homomorphic encryption enables privacy-preserving analytics directly on
encrypted data sets.
Securing Data at Rest
Storing data encrypted prevents unauthorized access in case of cloud
provider outages or insider attacks:
- Symmetric encryption tools like VeraCrypt, EncFS protect individual
files/partitions hosted on cloud VMs or object stores.
- Server-side encryption leverages storage service encryption capabilities
encrypting data before persisting to disk under provider control.
- Client-side encryption shifts responsibility to customer encrypting files
client-side before upload.
- Key management portability is crucial across cloud services using hardware
security modules, cloud KMS with multi-region redundancy.
- Blockchain techniques offer decentralized audit logs and access controls
through metadata stored in hash-linked blocks.
Data Security in Major Cloud Service Models
Cryptography enables secure adoption of key cloud services:
- Infrastructure as a Service: Whole disk encryption, SSL/IPsec tunnels for VM
orchestration/storage.
- Platform as a Service: App/database encryption, access control policies,
identity federation for PaaS APIs.
- Serverless computing: Function/trigger authentication, integrity, temporary
credentials for computing services.
- Storage Services: Server-side encryption, bucket/object ACLs, customer
managed encryption keys.
- Database Services: Encryption at rest/in transit, private links, server-side
programming for data security.
Adopting Secure Development Practices
Robust encryption, access controls alone do not guarantee cloud security.
Equal focus on development practices addressing misconfigurations and
vulnerabilities is needed:
- DevSecOps integrates security practices in development lifecycle through
automation and tooling.
- Principle of least privilege restricts consumer access profiles within
customer accounts.
- Logging/monitoring aids audit, forensics and remediation through
dashboard visibility on activities.
- Identity federation/SSO across cloud tenants facilitates MFA, Just-in-Time
access policies.
- Regular security testing and patching closes vulnerabilities timely in
provisioned resources.
Conclusion
Cryptography builds fundamental safeguards while facilitating
technical/operational compliance in cloud shared infrastructure models. Its
standard algorithms and frameworks secure confidentiality, integrity and
availability of data. Coupled with robust access controls and secure
development practices, it empowers cloud adoption meeting modern
security and privacy mandates.
Cloud computing delivers on-demand IT services over the internet through a
pay-as-you-go model of shared infrastructure and resources. However, the
multi-tenancy nature of cloud also introduces security vulnerabilities since
customer data is stored and processed across pooled resources outside
direct customer control. Cryptography plays a vital role in addressing risks
like data breaches, insider threats, unauthorized access, software
vulnerabilities and outages through measures ensuring confidentiality,
integrity and availability of data. This paper discusses cryptographic
techniques used for securing customer data across major cloud service
models.
Security Requirements in Cloud Computing
Key security requirements for cloud environments include:
- Confidentiality: Prevent unauthorized access to sensitive data at rest, in
transit or in use across the shared cloud platform.
- Integrity: Detect any manipulation or alteration of data by unauthorized
entities.
- Availability: Ensure services and data remain accessible to authorized users
as per agreed service levels.
- Compliance: Adherence to regulatory mandates around data sovereignty,
privacy and disclosure.
- Authentication: Validate identities of users and services interacting with
data.
- Non-repudiation: Undisputed proof of data origin, transmission and
modification.
- Audit and monitoring: Track access patterns and analyze for anomalies or
policy violations.
Securing Data in Use and in Transit
Cryptography ensures confidentiality and integrity of data in use and during
transmission:
- SSL/TLS provides transport layer securityencrypting HTTP traffic between
clients/serversand validating certificates for web apps.
- HTTPS enables secure communication for native cloud apps using
client/server certificates or EAP.
- IPSec, SSL VPNs secure private WAN connections like between on-premise
infrastructure and cloud VPC networks or inter-region replication.
- Disk/volume encryption transparently encrypts data at rest on virtual disks
and file systems using keys managed externally or hardware security
modules.
- Encrypted relational databases, columnar stores encrypt and index specific
columns for queries on encrypted data.
- Homomorphic encryption enables privacy-preserving analytics directly on
encrypted data sets.
Securing Data at Rest
Storing data encrypted prevents unauthorized access in case of cloud
provider outages or insider attacks:
- Symmetric encryption tools like VeraCrypt, EncFS protect individual
files/partitions hosted on cloud VMs or object stores.
- Server-side encryption leverages storage service encryption capabilities
encrypting data before persisting to disk under provider control.
- Client-side encryption shifts responsibility to customer encrypting files
client-side before upload.
- Key management portability is crucial across cloud services using hardware
security modules, cloud KMS with multi-region redundancy.
- Blockchain techniques offer decentralized audit logs and access controls
through metadata stored in hash-linked blocks.
Data Security in Major Cloud Service Models
Cryptography enables secure adoption of key cloud services:
- Infrastructure as a Service: Whole disk encryption, SSL/IPsec tunnels for VM
orchestration/storage.
- Platform as a Service: App/database encryption, access control policies,
identity federation for PaaS APIs.
- Serverless computing: Function/trigger authentication, integrity, temporary
credentials for computing services.
- Storage Services: Server-side encryption, bucket/object ACLs, customer
managed encryption keys.
- Database Services: Encryption at rest/in transit, private links, server-side
programming for data security.
Adopting Secure Development Practices
Robust encryption, access controls alone do not guarantee cloud security.
Equal focus on development practices addressing misconfigurations and
vulnerabilities is needed:
- DevSecOps integrates security practices in development lifecycle through
automation and tooling.
- Principle of least privilege restricts consumer access profiles within
customer accounts.
- Logging/monitoring aids audit, forensics and remediation through
dashboard visibility on activities.
- Identity federation/SSO across cloud tenants facilitates MFA, Just-in-Time
access policies.
- Regular security testing and patching closes vulnerabilities timely in
provisioned resources.
Conclusion
Cryptography builds fundamental safeguards while facilitating
technical/operational compliance in cloud shared infrastructure models. Its
standard algorithms and frameworks secure confidentiality, integrity and
availability of data. Coupled with robust access controls and secure
development practices, it empowers cloud adoption meeting modern
security and privacy mandates.
