Explain security concerns in cloud computing.

 VARIOUS SECURITY CONCERNS IN A CLOUD COMPUTING ENVIRONMENT

Security concern #1: Control over physical security is lost with the cloud model due to the sharing of computer resources with other businesses. There is no information or control over where the resources run.

Security concern #2: Companies breaking the law (risk of data seizure by a (foreign) government).

 Security concern #3: If a user decides to switch from one Cloud Service Provider (CSP) to another, the storage services supplied by one may be incompatible (e.g., Microsoft cloud is incompatible with Google cloud).

Security concern #4: Who has access to the encryption/decryption keys?

Security concern #5: Ensuring data integrity (transmission, storage, and retrieval) requires that the data changes only in response to approved transactions. There is currently no uniform standard for ensuring data integrity.

Security concern #6: Data logs must be given to security managers and authorities in the event of the Payment Card Industry Data Security Standard. Security concern #7: Users must stay up to date on application improvements to ensure their safety.

Security concern #8: Some government restrictions place severe constraints on what data on its inhabitants can be held and for how long, while some bank authorities require customers' financial data to be kept in their native nation. 

Security concern #9: The dynamic and fluid nature of virtual machines will make it difficult to maintain security and consistency, and assure records can be audited. 

Security concern #10: Customers may be able to sue cloud service providers if their privacy Concerns emerge when consumers are unsure why their personal information is being obtained rights are breached, and cloud service providers may incur reputational harm in any scenario. or how it will be used or passed on to other parties.



Comments

Popular posts from this blog

Suppose that a data warehouse for Big-University consists of the following four dimensions: student, course, semester, and instructor, and two measures count and avg_grade. When at the lowest conceptual level (e.g., for a given student, course, semester, and instructor combination), the avg_grade measure stores the actual course grade of the student. At higher conceptual levels, avg_grade stores the average grade for the given combination. a) Draw a snowflake schema diagram for the data warehouse. b) Starting with the base cuboid [student, course, semester, instructor], what specific OLAP operations (e.g., roll-up from semester to year) should one perform in order to list the average grade of CS courses for each BigUniversity student. c) If each dimension has five levels (including all), such as “student < major < status < university < all”, how many cuboids will this cube contain (including the base and apex cuboids)?

Suppose that a data warehouse consists of the three dimensions time, doctor, and patient, and the two measures count and charge, where a charge is the fee that a doctor charges a patient for a visit. a) Draw a schema diagram for the above data warehouse using one of the schemas. [star, snowflake, fact constellation] b) Starting with the base cuboid [day, doctor, patient], what specific OLAP operations should be performed in order to list the total fee collected by each doctor in 2004? c) To obtain the same list, write an SQL query assuming the data are stored in a relational database with the schema fee (day, month, year, doctor, hospital, patient, count, charge)

Discuss classification or taxonomy of virtualization at different levels.