With the number of devices connected to the internet increasing rapidly, we have entered an immense computerized uprising of the Internet of Things (IoT) era. The popularity of IoT systems and devices makes the security for IoT of paramount importance. We have systematically recognized and dissected 22 papers published for patterns and architectures for IoT security (and privacy) from more than thousands of candidate papers. Security patterns comprise of domain-independent time-proven security knowledge and expertise. The questions surrounding the applicability of security patterns and architectures for developing secure IoT devices and systems remain. This thesis aims to draw a research landscape of patterns and architectures for IoT security by conducting a systematic literature review. For data extraction and comparison of the studies in this area, we have created a taxonomy of key aspects for IoT, security patterns, and architectures. The results from this research reveal a rise in the number of publications tending to security patterns and architectures in the last two years. Within this rise, we see that most patterns and architectures are applicable for most IoT systems and devices, while some contributions are domain-specific. However, there are gaps in this research area that discourages the utilization of patterns for IoT security and privacy. We elaborate on these gaps, how and when to use these types of solutions. Lastly, we discuss the consequences and impacts on this domain, followed by our suggestions towards future research.