In today’s interconnected society, the Internet of Things (IoT) has seamlessly integrated itself into our daily lives. From smart homes to industrial automation, the number of IoT devices continues to grow exponentially. However, along with these advancements comes the need for robust security measures to protect the sensitive data flowing through these interconnected devices. It is predicted that the global IoT security market will grow significantly. This growth results from the increasing deployment of IoT devices and the growing sophistication of cyberattacks. According to Markets and Markets, the size of the global IoT security market will increase from USD 20.9 billion in 2023 to USD 59.2 billion by 2028 at a Compound Annual Growth Rate (CAGR) of 23.1%. This article explores the challenges of IoT security and how Artificial Intelligence (AI) can be an effective approach to addressing these challenges.
Artificial intelligence (AI) can significantly enhance IoT security by analyzing vast data volumes to pinpoint potential threats like malware or unauthorized access, along with identifying anomalies in device behavior that may signal a breach. This integration of AI and IoT security strategies has emerged as a powerful response to these challenges. IoT security encompasses safeguarding devices, networks, and data against unauthorized access, tampering, and malicious activities. Given the proliferation of IoT devices and the critical concern of securing their generated data, various measures are vital, including data encryption, authentication, access control, threat detection, and ensuring up-to-date firmware and software.
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