Internet of Things (IoT) Practice Exam 2025 – Comprehensive Prep Resource

The addition of data from IoT creates privacy issues primarily because multiple data sets can reveal identity. When data is collected from various IoT devices, it often includes unique identifiers and contextual information about users, their habits, and preferences. When this data is aggregated, even seemingly innocuous information can be analyzed to identify individuals through patterns or correlations. This capability to cross-reference multiple streams of data increases the risk of exposing sensitive personal information, which can lead to unwanted profiling, surveillance, and breaches of confidentiality.

For example, data from smart home devices, wearable tech, and mobile applications can collectively paint a detailed picture of an individual's lifestyle, preferences, and movement patterns. This revelation of identity can happen even if the data itself doesn't include direct identifiers like names or addresses. Therefore, the interconnected nature of IoT greatly intensifies the potential for privacy violations as more data accumulates and becomes available for analysis.

The options that discuss data security and vulnerabilities are relevant but less directly tied to the core issue of privacy which is fundamentally about identity exposure and the potential misuse of personal information.