Personal Information Leakage in China

The emergence of big data has profound effects on the lives of individuals, and existing legal protections, sanctions and mechanisms are inadequate to prevent and contain the serious consequences of personal information leakage. This article combines qualitative and quantitative analysis of data collected by the China Consumers Association to identify key sources of personal information leakage, and examines the most common causes of leakage, including falsification of informed consent, lag in legislative protections and lack of administrative supervision.

Unauthorized access

Unauthorized access to personal information occurs when someone gains access to a computer or resource without the owner’s permission. There are several methods of unauthorized access, and these techniques fall into two basic categories: physical and digital. Password guessing is a common method of entry. Using social engineering or phishing tactics, the hacker can learn a person’s password, and then guess it. Once they have the password, they can then steal the information.

Integrating data from mobile device sensors

Smartphones come with a variety of built-in sensors, such as motion and position sensors, which could be abused for leaking personal information. The integration of data from these sensors could reveal a user’s propensity or privacy without their knowledge. These devices are vulnerable to keystroke inference attacks, location inference attacks, and eavesdropping, among other threats. Therefore, it is critical that these sensors be protected.

This paper analyzes the threat posed by various IoT devices, and assesses the damage caused by such leaks. In addition, it elaborates an SA risk measurement method to limit the damage caused by IoT equipment leakage. This paper highlights the need to protect user privacy by integrating data from mobile device sensors. The implications of this research are wide-ranging. SA is essential for incidental damage analysis, because it requires the characterization of environmental factors and the projection of those factors.

Identity theft

Identity theft is the crime of using someone else’s personal information. Whether it’s a credit card number or a social security number, stolen credentials can be used to access a person’s digital life. Then, the person may use that identity to obtain loans, purchases, and other valuable accounts. And, since the information can be used for fraudulent purposes, it can be a major source of anxiety for victims.

Luckily, there are ways to minimize the risk of identity theft and personal information leakage. The most common way for personal information to be stolen is through phishing scams. This type of scam involves sending out phishing emails to people who pretend to be from a bank or other institution. These scams use stolen information to open accounts or sell it to other criminals online. The best way to prevent identity theft is to stay vigilant about the emails you receive.

Remediation actions in the event of leakage

The first step in data remediation is to understand the value of the data. To do this, you must identify the data type and determine how long it will take to remediate the problem. This is especially important if only one person was aware of the data. After all, no one wants their personal information exposed to the public. This information could be highly sensitive and may require years of remediation to restore the trust of the public.

Data remediation may also be driven by new laws. For instance, California’s Consumer Protection Act of 2018 is an example of a recent data privacy law. However, data remediation can also be fueled by leadership and internal policy changes. If the governing bodies or industry groups deem that personal information leakage is a high priority, they may enact new laws requiring companies to take steps to ensure that personal information is not compromised in the future.