چکیده مقاله
This paper provides an overview of the use of machine learning ML techniques for Internet of Things IoT security The IoT refers to a network of interconnected devices that can communicate, collect data, and make decisions with minimal human intervention However, the proliferation of IoT devices has raised concerns about their security, as hackers can exploit vulnerabilities to gain unauthorized access, steal sensitive information, and launch attacks ML is a subset of artificial intelligence that enables systems to learn from data, identify patterns, and make decisions without explicit programming The use of ML in IoT security can help detect anomalies, predict attacks, and develop dynamic defenses The paper draws insights from various resources, including seven books, that cover topics on practical cryptography for the IoT, securing IoT devices and networks, and machine learning algorithms for cybersecurity The authors present an overview of IoT security and the challenges involved in ensuring the privacy and security of data They introduce the concept of ML and how it can be leveraged to offer solutions to critical problems such as cybersecurity in IoT environments, 5G, and smart cities The paper further explores specific resources that examine the use of cryptographic techniques, guide to securing IoT devices and networks, and algorithms used in protecting systems with data Additionally, the paper highlights the importance of information security and cryptology in the modern era and the rise of new technologies such as IoT Finally, the authors discuss the relevance of the book Artificial Intelligence and Machine Learning for Business to IoT security, particularly in the context of business applications They explore how ML can be used to improve business performance, detect fraud, and enhance customer experiences In conclusion, the paper provides a comprehensive overview of the use of ML techniques for IoT security and highlights insights from various resources
کلیدواژهها
نویسندگان
Abolfazl Omidi
Bachelor student of computer engineering, Poldokhtar Institute of higher education Lorestan, Iran
Sama Raziei
Faculty of Economics and Administrative Sciences, Cypress International University CIU
شیوه ارجاع
Omidi, Abolfazl,1402,Machine Learning Techniques for IoT Security,The 6th International Conference on Management, Tourism and Technology
ارائهشده در
مجموعه مقالات هفتمین کنفرانس بین المللی مدیریت، گردشگری و تکنولوژی17 مرداد 1402