Owing to the limitless possibilities achieved with the integration of the internet of things (IoT) and smart assistance, various industries are employing these technologies. As the drive to acquire an electronically controlled home by next-generation residents keeps on elevating so is the risk for cyberattacks and unauthorized entry.  In present times, numerous smart homes are plugged in with conventional IoT devices, which lack advanced firewall systems necessary for data security. The loophole generated from unsecured devices has acted as a golden key for hackers and cybercriminals.

The connectivity of smart home products relies on remote access and cloud technologies where tech-savvy criminals are constantly testing sensitive data protection system. The smart home industry recognizes the potential dangers but is facing a constant set-back of fixing them without compromising the overall user experience. As 80 percent of the previous generation IoT devices are vulnerable to a wide range of cyberattacks, the network of traditionally standalone smart devices needs to be rejected by consumers.

An unsecured Wi-Fi network operates as one of the access points for unauthorized technical fugitive. A strong personalized encrypted password is mandatory in order to own a secure connection. The encryption mechanism incorporated in the service set identifier (SSID) makes the job of hackers who are preloaded with common and default SSID quite troublesome. Information obtained from fake Wi-Fi networks with same or similar SSID adds to another access point as hackers utilize the login credentials to connect to the real Wi-Fi network

The wireless IoT devices rely on Wi-Fi and Bluetooth connections to send data and continuously search for unknown networks to complete its task. The hackers take this opportunity to upload malware that gets transmitted to various portable IoT devices which leads to security breaches. The users’ lack of knowledge for updating to next-generation IoT opens the gateway for cybercriminals. Failing to detect such vulnerabilities of an update can cost a considerable price for IoT-enabled smart home users.

Artificial intelligence (AI) and machine learning (ML) stores a multitude of users’ sensitive data, which can be identified and manipulated according to the needs of data fraudsters. A significant update from the traditional IoT to advanced encrypted IoT is required to deliver a secure user consumer experience.