Denial of Service Attacks in the Internet of Things
- Title
- Denial of Service Attacks in the Internet of Things
- Creator
- Paul A.; Sinha S.
- Description
- 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.
- Source
- Internet of Things in Modern Computing: Theory and Applications, pp. 67-90.
- Date
- 2023-01-01
- Publisher
- CRC Press
- Coverage
- Paul A., Banasthali Vidyapith, Rajasthan, India; Sinha S., CHRIST(Deemed to be University), Bangaluru, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-100090473-4; 978-103239272-1
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Paul A.; Sinha S., “Denial of Service Attacks in the Internet of Things,” CHRIST (Deemed To Be University) Institutional Repository, accessed November 4, 2025, https://archives.christuniversity.in/items/show/18469.