The nature of the "elasticity" of the service allows developers to immediately scale to meet the explosion of traffic as well as demand. When computing requirements change unexpectedly (up or down), Amazon EC2 can respond immediately. In other words, developers can control the number of resources used at any point in time. In contrast, traditional hosting services typically provide a certain number of resources within a given time. In other words, users are limited in ability to respond easily when they know that usage changes rapidly, unpredictable, or at different intervals can cause large peaks.
The steps Tom uses to analyze as well as mitigate security problems using the threat model are:
Step 1: Identify your security strategy
Understand security requirements as well as identify possible threats in business flows to achieve objectives. You should also consider whether there are specific compliance or security-related requirements that are part of your business goals. For example, during auditing, sensitive information (SSN number, age, etc.) should not be logged. Also, the log file must be accessible only to a specific set of users.
Step 2: Identify assets as well as external dependencies
This is why unauthorized access to assets such as data, code, as well as system information is a threat. The security architect must identify the list of assets to protect against potential attackers. You also need to identify external dependencies that are not part of the code but may pose a threat to your system. Consider how to access applications in a production environment or a Web server or how database communication is done on a private or public network.
Step 3: Identify the Trust Zone
The architect must identify the trust zone as well as the corresponding entry/exit point. This information should be documented as well as used to develop data flow diagrams with privilege boundaries. This helps you define approaches to user authentication, input data validation, as well as error handling. In the example for the e-commerce website described earlier, the order processing system can be identified as a trust zone that requires a price validation check for the ordered item ID.
Step 4: Identify potential threats as well as vulnerabilities
In addition to performing a broad search of threats under a predefined approach, such as STRIDE, consider the threats that typically affect your system. Examples include SQL injection, authentication corruption, as well as session management vulnerabilities. Identify areas of risk, such as poor input validation, excessive privileged accounts, weak password policies, custom encryption, inappropriate audit or logging, as well as the display of error or exception messages to end users.
Step 5: Document the threat model
Threat modeling is an iterative process, as well as documents form an important aspect of team responsibility. Architects can use documents to create secure designs as well as architectures to reduce architectural security threats. Developers can use documents as security guidelines to reduce security risks, as well as testers can run test cases to detect system vulnerabilities. This helps the tester to create security-related test cases as well as trust zone validation test cases.
Threat modeling must begin in the design phase as well as run in parallel with the architecture design. In addition, it is important to remember that there is no single approach to threat modeling. For best results, adopt a predefined approach, such as STRIDE, DREAD, or combine with the five steps above.
Five steps to ensure governance as well as compliance are:
The three differences between S3 as well as EBS services are:
AWS offers two other storage services:
Permission for read and write for the reports.
Three AWS facility as well as data center security measures:
Reserved Instances are ideal for your ongoing instances, as well as you can save money by purchasing instances throughout the year.
Amazon EC2 Reserved Instances (RIs) offer a significant discount (up to 75%) over On-Demand rates, as well as capacity reservations when used in a specific Availability Zone.
The steps are:
The following is a configuration step:
The guidelines are:
By default, all requests to the Amazon S3 bucket require AWS account credentials. If you enable versioning with MFA Delete in your Amazon S3 bucket, you must have two forms of authentication: AWS account credentials, a valid six-digit code, as well as a serial number from your authentication device to permanently delete the object version.
Key concerns include:
Different data retention policies compare legal as well as privacy issues as well as economics, as well as weigh retention times; archiving rules, data formats, as well as issues you need to know to determine the storage, access, as well as encryption methods that are acceptable. .
Failure to properly data destruction in used IT assets can result in serious data protection violations, privacy policies, compliance issues, as well as additional costs. There are three main options for data corruption:1) Override, 2) degaussing as well as 3) Physical destruction.
AWS Direct Connect enables you to establish a dedicated network connection between the data center and one of the AWS Direct Connect locations. This connection allows you to create a virtual interface directly to your AWS environment, allowing you to make a private connection that is not over the Internet. AWS Direct Connect improves network throughput and reduces the time required to migrate data. It also reduces network costs and facilitates connections that are much more stable than connections from the data center over the Internet.
When a new media file is uploaded to the Amazon Simple Storage Service (Amazon S3) media analysis bucket, the AWS Lambda function calls the AWS Step Functions state machine. Metadata is extracted by Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend. When an audiofile is uploaded, AWS Elemental MediaConvert extracts audio for Amazon Transcribe and Amazon Comprehend analysis. Another Lambda function retrieves and processes the results and stores them in Amazon S3 buckets and Amazon Elasticsearch clusters. The resulting metadata can be authenticated, securely searched, and retrieved using Amazon Cognito and Amazon API Gateway RESTful API.
The solution also introduces a static Amazon S3 web interface that allows customers to quickly upload, analyze, and operate small media files. Amazon CloudFront is used to restrict access to the solution's website bucket content.
Multi-tenancy refers to resource sharing in cloud computing where any resource object can be reused in the cloud infrastructure. Reusable objects must be carefully controlled and managed to create serious vulnerabilities and to compromise confidentiality through potential data breaches. Data breaches in this context can be caused by unisolated cloud computing hardware. Cloud computing has a level of separation between the application and virtual layers, but the hardware layer is not sufficient..
This is a Ramsomware attack. Unlike other cyber threats known to users, backdoors are known to be inconspicuous. Backdoors exist for a specific group of people who are familiar with the system or application for easy access.
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