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              <text>Denial of Service Attacks in the Internet of Things</text>
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              <text>A DoS attack is the most severe attack on IoT and creates a crucial challenge for the detection and mitigation of such attacks. A DoS attack occurs at multiple layers of the IoT protocol stack and exploiting the protocol vulnerabilities disrupts communication. Traditional mechanisms employ single-layer detection of DoS attacks, which individually detect and mitigate attacks. However, it is essential to establish a general framework for detecting DoS attacks in a real-time environment and coping with diversified applications. This can be achieved by fetching attack features of multiple layers to create a pool of numerous attacks and then designing a system that detects the attack when fed with specific attack features. This chapter comprehensively analyzes the research gap in the DoS attack detection techniques proposed. Secondly, we offer a two-stage framework for DoS attack detection, comprising Fuzzy Rule Manager and Neural Network (NN), to detect cross-layer DoS attacks in real time. The Input Data Type (IDT) is derived using a fuzzy rule manager that can identify the type of input dataset as usual or attack in real time. This IDT is passed to the NN along with the real-time dataset to increase detection accuracy and decrease false alarms.  2024 selection and editorial matter, Vinay Chowdary, Abhinav Sharma, Naveen Kumar and Vivek Kaundal; individual chapters, the contributors.</text>
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              <text>Paul A.; Sinha S.</text>
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              <text>Internet of Things in Modern Computing: Theory and Applications, pp. 67-90.</text>
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              <text>CRC Press</text>
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              <text>2023-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1201/9781003407300-5" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1201/9781003407300-5&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164854748&amp;amp;doi=10.1201%2F9781003407300-5&amp;amp;partnerID=40&amp;amp;md5=bc4bc40f1c9b88fb9ecb5f07ba59944c" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164854748&amp;amp;doi=10.1201%2f9781003407300-5&amp;amp;partnerID=40&amp;amp;md5=bc4bc40f1c9b88fb9ecb5f07ba59944c&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISBN: 978-100090473-4; 978-103239272-1</text>
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              <text>Online</text>
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              <text>Paul A., Banasthali Vidyapith, Rajasthan, India; Sinha S., CHRIST(Deemed to be University), Bangaluru, India</text>
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