Anonymous
Apr 24
List ways in which data integrity can be compromised ?
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ChatGPT
Apr 24
1. Unauthorized access: If individuals or entities gain unauthorized access to a database, they can manipulate or delete data, compromising its integrity.
2. Human error: Mistakes made by individuals entering or managing data can lead to inaccuracies and compromise data integrity.
3. Malware or hacking: Malicious software or hacking attacks can corrupt or steal data, compromising its integrity.
4. Hardware failure: If the hardware storing the data fails, it can lead to data corruption or loss, compromising integrity.
5. Software bugs: Errors in software code can lead to data corruption or loss, compromising integrity.
6. Lack of data validation: If data is not properly validated before being entered into a database, it can lead to inaccuracies and compromise integrity.
7. Data manipulation: Individuals with access to a database can intentionally manipulate data to suit their own purposes, compromising integrity.
8. Lack of data backups: If data is not regularly backed up, it can be lost in the event of a system failure or other disaster, compromising integrity.
9. Insider threats: Employees or other individuals with authorized access to a database can intentionally or unintentionally compromise data integrity.
10. Data transfer errors: Errors during the transfer of data between systems or databases can lead to data corruption and compromise integrity.
2. Human error: Mistakes made by individuals entering or managing data can lead to inaccuracies and compromise data integrity.
3. Malware or hacking: Malicious software or hacking attacks can corrupt or steal data, compromising its integrity.
4. Hardware failure: If the hardware storing the data fails, it can lead to data corruption or loss, compromising integrity.
5. Software bugs: Errors in software code can lead to data corruption or loss, compromising integrity.
6. Lack of data validation: If data is not properly validated before being entered into a database, it can lead to inaccuracies and compromise integrity.
7. Data manipulation: Individuals with access to a database can intentionally manipulate data to suit their own purposes, compromising integrity.
8. Lack of data backups: If data is not regularly backed up, it can be lost in the event of a system failure or other disaster, compromising integrity.
9. Insider threats: Employees or other individuals with authorized access to a database can intentionally or unintentionally compromise data integrity.
10. Data transfer errors: Errors during the transfer of data between systems or databases can lead to data corruption and compromise integrity.
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Google Gemini AI
Apr 24
Unauthorized Access:
- Malicious actors gaining access to data through hacking, phishing, or physical breaches.
- Internal employees exceeding their authorized access privileges.
Data Manipulation:
- Accidental or intentional modifications, deletions, or additions to data by authorized users.
- Unauthorized users altering data through malicious software or direct access.
System Failures:
- Hardware failures, software bugs, or power outages leading to data loss or corruption.
- Natural disasters or other catastrophic events impacting data storage systems.
Transmission Errors:
- Corrupted data during data transmission over networks or communication channels.
- Transmission delays or dropped packets resulting in incomplete or inaccurate data.
Mistakes and Human Error:
- Data entry errors, transcription mistakes, or incorrect calculations.
- Misinterpretations or misapplications of data by users.
Lack of Data Validation:
- Inadequate data validation processes allow for incorrect or incomplete data to be accepted into systems.
- Bypass of data validation controls by authorized or unauthorized users.
Data Integration Issues:
- Integration of data from different sources can lead to inconsistencies and data conflicts.
- Mapping errors or synchronization problems result in fragmented or inaccurate data.
Poor Data Management Practices:
- Lack of data backups and redundancy measures increases the risk of permanent data loss.
- Insufficient data disposal and archiving processes compromise data confidentiality and privacy.
Malicious Software:
- Viruses, malware, and ransomware can corrupt or encrypt data, rendering it inaccessible or unusable.
- Botnets can target data storage systems and exfiltrate sensitive information.
Physical Threats:
- Physical destruction of storage devices or servers through fire, flooding, or vandalism.
- Theft or loss of physical media containing data.
- Malicious actors gaining access to data through hacking, phishing, or physical breaches.
- Internal employees exceeding their authorized access privileges.
Data Manipulation:
- Accidental or intentional modifications, deletions, or additions to data by authorized users.
- Unauthorized users altering data through malicious software or direct access.
System Failures:
- Hardware failures, software bugs, or power outages leading to data loss or corruption.
- Natural disasters or other catastrophic events impacting data storage systems.
Transmission Errors:
- Corrupted data during data transmission over networks or communication channels.
- Transmission delays or dropped packets resulting in incomplete or inaccurate data.
Mistakes and Human Error:
- Data entry errors, transcription mistakes, or incorrect calculations.
- Misinterpretations or misapplications of data by users.
Lack of Data Validation:
- Inadequate data validation processes allow for incorrect or incomplete data to be accepted into systems.
- Bypass of data validation controls by authorized or unauthorized users.
Data Integration Issues:
- Integration of data from different sources can lead to inconsistencies and data conflicts.
- Mapping errors or synchronization problems result in fragmented or inaccurate data.
Poor Data Management Practices:
- Lack of data backups and redundancy measures increases the risk of permanent data loss.
- Insufficient data disposal and archiving processes compromise data confidentiality and privacy.
Malicious Software:
- Viruses, malware, and ransomware can corrupt or encrypt data, rendering it inaccessible or unusable.
- Botnets can target data storage systems and exfiltrate sensitive information.
Physical Threats:
- Physical destruction of storage devices or servers through fire, flooding, or vandalism.
- Theft or loss of physical media containing data.
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