DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Please enter at least three characters to search
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Zones

Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

The software you build is only as secure as the code that powers it. Learn how malicious code creeps into your software supply chain.

Apache Cassandra combines the benefits of major NoSQL databases to support data management needs not covered by traditional RDBMS vendors.

Generative AI has transformed nearly every industry. How can you leverage GenAI to improve your productivity and efficiency?

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workloads.

Related

  • Processing Cloud Data With DuckDB And AWS S3
  • Enhancing Security With ZTNA in Hybrid and Multi-Cloud Deployments
  • A Wake-up Call for Cloud Security: Insights From the Recent Snowflake Data Breach
  • Cloud Computing Security: Ensuring Data Protection in the Digital Age

Trending

  • Cloud Security and Privacy: Best Practices to Mitigate the Risks
  • How To Introduce a New API Quickly Using Quarkus and ChatGPT
  • Docker Base Images Demystified: A Practical Guide
  • Why Database Migrations Take Months and How to Speed Them Up
  1. DZone
  2. Software Design and Architecture
  3. Cloud Architecture
  4. An Overview of Cloud Cryptography

An Overview of Cloud Cryptography

This article gives details about the need for Cloud Cryptography, the various techniques and algorithms used, and its benefits.

By 
Senthamizh Selvi user avatar
Senthamizh Selvi
·
Jun. 01, 23 · Tutorial
Likes (2)
Comment
Save
Tweet
Share
5.0K Views

Join the DZone community and get the full member experience.

Join For Free

Cloud Cryptography refers to a set of techniques used to secure data stored and processed in the cloud environment and is essential for protecting sensitive information. By using encryption and secure key management techniques, Cloud Cryptography provides the following security:

  • Data Privacy
  • Data Confidentiality
  • Data Integrity

The three common methods used in Cloud Cryptography are as follows:

1. Symmetric Encryption: uses the same key for encryption and decryption of data.

2. Asymmetric Encryption: uses a public key for encryption and a private key for decryption.

3. Hash functions: creates a unique version of a message to maintain its integrity.

Cloud Cryptography protects the data by adding a layer of protection to avoid the data being breached, affected by malware, or hacked. The data stored in the cloud are secured by encryption, allowing the users to access cloud services conveniently and safely. Also, it provides security without delaying the delivery of information.

How Does Cloud Cryptography Work?

Cloud Cryptography is based on encryption algorithms that convert the text into ciphertext. This ciphertext is then converted into plain text through an encryption key. 

There are two types of Cloud Cryptography for protection:

  1. Data-in-transit
  2. Data-at-rest

Data-in-transit is encrypted when a user visits a site on the internet. Encryption is done by using the data transfer protocol ‘HTTPS.’ HTTPS protects the data by providing a layer of encryption around it.

Data-at-rest can be encrypted and decrypted using encryption and decryption keys, making it impossible for anyone to hack the information. Data is encrypted at both sender’s and receiver’s ends.

How Is Cloud Cryptography Implemented?

Physical control over the data in the cloud is impossible. Cloud data encryption helps in protecting confidential information and ensures faster data transfer.

The following cryptography techniques are employed for Cloud data security.

1. Symmetric Algorithm 

The Symmetric algorithm decrypts using the same key used for encryption. This technique requires fewer computing resources and performs well in encryption. Two-way keys are used in the symmetric algorithm to ensure validation and approval. The encrypted data is stored in the Cloud and can be decrypted only when the client knows the key.

                                                              Image 1: Symmetric Cryptography

Advanced Encryption Standard (AES), Data Encryption Standard (DES), Blowfish, and Triple DES are some of the widely used symmetric algorithm techniques.

Advanced Encryption Standard (AES): This technique encrypts digital data in industries like finance, telecommunication, and the public sector. Encryption and decryption use the same key. A block of ciphertext repeats itself after each mentioned step. The key size can be 128, 192, and 256 bits, with a block size of 128. 

Data Encryption Standard (DES): This technique uses a 64-bit secret key, out of which the first 56 bits are generated at random, and the other 8 bits are used for detecting errors and maintaining data integrity. DES is mostly used on hardware for encryption by single users, such as encrypted information saved on a hard drive.

2. Asymmetric Algorithm

The asymmetric algorithm encrypts and decrypts data using different keys. Each recipient of the data needs to have a decoding key. This is also called as Recipient’s private key. Any organization or individual is the owner of the encryption key. Since this algorithm requires both encryption and decryption keys to access any information, this algorithm is considered the safest.

Asymmetric Cryptography

                                                            Image 2: Asymmetric Cryptography

Digital Signature Algorithm (DSA), Rivest Shamir Adleman Algorithm (RSA), Elliptic Curve Cryptography (ECC), and Diffie-Hellman algorithm are some of the asymmetric algorithms used for encrypting data in the cloud. 

Rivest Shamir Adleman Algorithm (RSA): It is a de facto encryption standard that is used for encryption in a wide range of systems. It employs different keys for encryption and decryption. The public key is known to everyone, but only an authorized individual can decrypt it with the private key. 

Elliptic Curve Encryption (ECC): It is a contemporary public-key cryptography that generates a small key using mathematical elliptic curves and a number concept. Because of its short key size, ECC is most used by security experts.

3. Hashing  

Hashing is the most important element of blockchain security. When a data block is added to the chain, a unique code or hash is assigned to it. Hashing makes data retrieval faster, and this technique is mostly used for indexing. 

Hashing Algorithm

                                                                 Image 3: Hashing Algorithm

Benefits of Cloud Cryptography  

  • Cryptography is undoubtedly the safest technique for storing and transferring data in the cloud since it adheres to the constraints imposed by standards such as FIPS, HIPAA, and FISMA.
  • Since the client’s information is kept confidential, Cloud cryptography reduces cybercrime.
  • Cloud encryption enables organizations to be proactive in their defense against data breaches and cyber-attacks which is necessary in today’s data-driven world.

Disadvantages of Cloud Cryptography

  • Cloud cryptography needs highly advanced systems to maintain encrypted data.
  • Overprotective measures can cause difficulties for organizations when recovering data. 

Conclusion

Organizations must follow a data-centric strategy in this complex and evolving world of virtualization and cloud services to protect information against attacks. Organizations must implement security measures to protect sensitive data, like encryption and cryptographic key management for cloud data.

Advanced Encryption Standard Public-key cryptography Cloud Data (computing) security Cloud engineering

Opinions expressed by DZone contributors are their own.

Related

  • Processing Cloud Data With DuckDB And AWS S3
  • Enhancing Security With ZTNA in Hybrid and Multi-Cloud Deployments
  • A Wake-up Call for Cloud Security: Insights From the Recent Snowflake Data Breach
  • Cloud Computing Security: Ensuring Data Protection in the Digital Age

Partner Resources

×

Comments
Oops! Something Went Wrong

The likes didn't load as expected. Please refresh the page and try again.

ABOUT US

  • About DZone
  • Support and feedback
  • Community research
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 100
  • Nashville, TN 37211
  • support@dzone.com

Let's be friends:

Likes
There are no likes...yet! 👀
Be the first to like this post!
It looks like you're not logged in.
Sign in to see who liked this post!