Secure Your IoT Network
Cyber Defense Magazine, Monday, August 21,2023
Connected devices pose unique security risks and are prone to bot attacks, requiring a tool capable of quickly processing a large amount of information. A machine learning model can rapidly react to attacks, making it an ideal choice for protection. An organization can implement it to secure its IoT network through threat detection, recognition and response.
Vulnerabilities of an IoT Network
More organizations are incorporating IoT devices, and concerns over network security grow because that brings additional vulnerabilities. It expands their connectivity at the cost of creating new surface areas for attackers to target. Implementing a security model is complex because the devices often lack basic security features.
Cybercriminals can exploit the connectivity with distributed denial of service (DDoS) attacks by overwhelming them with excess requests. For example, a single DDoS attack from 2022 lasted only 30 seconds but created 17.2 million requests and came from over 20,000 bots. Integrating IoT devices for businesses can be beneficial, but they need enhanced security.