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This paper presents a novel wormhole detection method that leverages propagation delay analysis between network nodes rather than signature-based techniques or specialized hardware. Propagation delay data are collected for normal scenarios and for scenarios with inserted malicious wormhole nodes, then compared to distinguish legitimate paths from wormhole shortcuts. Using the NS-3 network simulator, the approach validates accurate detection and mitigation.",{"@graph":69,"@context":121},[70,84,104],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":30,"@type":76,"position":81},"https://docshare.wps.com/document/technology/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/leveraging-propagation-delay-for-wormhole-detection-in-wireless-networks/578502/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":98,"encodingFormat":97,"isAccessibleForFree":99,"interactionStatistic":100},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/leveraging-propagation-delay-for-wormhole-detection-in-wireless-networks/578502.png","ImageObject",300,407,{"name":92,"@type":93},"Hazel","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-15",true,{"@type":101,"interactionType":102,"userInteractionCount":4},"InteractionCounter",{"@type":103},"ViewAction",{"@type":105,"mainEntity":106},"FAQPage",[107,113,117],{"name":108,"@type":109,"acceptedAnswer":110},"What is the core idea of the proposed wormhole detection method?","Question",{"text":111,"@type":112},"The method analyzes propagation delay timings between network nodes to identify anomalous behavior consistent with wormhole attacks.","Answer",{"name":114,"@type":109,"acceptedAnswer":115},"How does the approach distinguish between normal routes and wormhole shortcuts?",{"text":116,"@type":112},"It collects propagation delay data for both normal network scenarios and scenarios with inserted malicious wormhole nodes, then compares the delay patterns to separate legitimate paths from potential shortcuts.",{"name":118,"@type":109,"acceptedAnswer":119},"Which tool is used to validate the effectiveness of the method?",{"text":120,"@type":112},"The paper uses the NS-3 network simulator to validate accurate wormhole detection and mitigation.","https://schema.org",{"og:url":83,"og:type":123,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":125,"canonical":83},"index,follow",{"doc_id":127,"site_id":62},578502,1792033871,{"code":4,"msg":5,"data":130},{"doc_id":127,"user_id":131,"nickname":92,"user_avatar":132,"doc_module":4,"category_id":29,"category_name":30,"doc_title":65,"doc_description":67,"doc_content":133,"file_id":134,"file_url":135,"file_type":136,"file_size":137,"view_count":4,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":138,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":128,"read_time":143},137441390410,"https://ap-avatar.wpscdn.com/avatar/2000252f4ab5702993?_k=1776741390130283984","Journal of Cybersecurity Education, Research and Practice  \n\n| Volume 2024  Number 1 | Article 26 |\n| --- | --- |\n| 9-26-2024\u003Cbr>Leveraging Propagation Delay for Wormhole Detection in Wireless Networks\u003Cbr>Harry May\u003Cbr>Louisiana Tech University, [hlm012@latech.edu](hlm012@latech.edu)\u003Cbr>Travis Atkison\u003Cbr>University of Alabama, [atkison@cs.ua.edu](atkison@cs.ua.edu)\u003Cbr>Follow this and additional works at: [https://digitalcommons.kennesaw.edu/jcerp](https://digitalcommons.kennesaw.edu/jcerp)\u003Cbr> Part of the Information Security Commons, Management Information Systems Commons, and the Technology and Innovation Commons |  |\n\nRecommended Citation  \nMay, Harry and Atkison, Travis (2024) \"Leveraging Propagation Delay for Wormhole Detection in Wireless Networks,\" Journal of Cybersecurity Education, Research and Practice: Vol. 2024: No. 1, Article 26.  \nDOI: [https://doi.org/10.62915/2472-2707.1193](https://doi.org/10.62915/2472-2707.1193)  \nAvailable at: [https://digitalcommons.kennesaw.edu/jcerp/vol2024/iss1/26](https://digitalcommons.kennesaw.edu/jcerp/vol2024/iss1/26)  \nThis Article is brought to you for free and open access by the Active Journals at DigitalCommons@Kennesaw State University. It has been accepted for inclusion in Journal of Cybersecurity Education, Research and Practice by an authorized editor of DigitalCommons@Kennesaw State University. For more information, please contact [digitalcommons@kennesaw.edu](digitalcommons@kennesaw.edu).  \nLeveraging Propagation Delay for Wormhole Detection in Wireless Networks  \nAbstract  \nDetecting and mitigating wormhole attacks in wireless networks remains a critical challenge due to their deceptive nature and potential to compromise network integrity. This paper proposes a novel approach to wormhole detection by leveraging propagation delay analysis between network nodes. Unlike traditional methods that rely on signature-based detection or specialized hardware, our method focuses on analyzing propagation delay timings to identify anomalous behavior indicative of wormhole attacks. The proposed methodology involves collecting propagation delay data in both normal network scenarios and scenarios with inserted malicious wormhole nodes. By comparing these delay timings, our approach aims to differentiate between legitimate network paths and potential wormhole shortcuts. Utilizing the NS-3 network simulator, we validate the effectiveness of our method in accurately detecting and mitigating wormhole attacks. The key advantage of our approach lies in its proactive nature and ability to detect wormholes without relying on specific attack signatures or additional hardware. Using the consistency of propagation delay data, our method offers a promising avenue for early detection and prevention of wormhole attacks, thereby enhancing network security and reliability. The results and insights presented in this paper contribute to the ongoing efforts in developing defense mechanisms against sophisticated network attacks, emphasizing the potential of propagation delay analysis in addressing the challenges posed by wormhole threatsin wireless networks.  \nKeywords  \nWireless network attacks, wormhole, simulation, detection, mitigation  \nThis article is available in Journal of Cybersecurity Education, Research and Practice:  \n[https://digitalcommons.kennesaw.edu/jcerp/vol2024/iss1/26](https://digitalcommons.kennesaw.edu/jcerp/vol2024/iss1/26)  \nLeveraging Propagation Delay for Wormhole Detection in Wireless Networks  \nHarry May  \nDepartment of Computer Science Louisiana Tech University Ruston, Louisiana USA email: [hlm012@latech.edu](hlm012@latech.edu)[ ](hlm012@latech.edu)[ORCID: 0000-0002-0571-1392](ORCID: 0000-0002-0571-1392)  \nTravis Atkison  \nDepartment of Computer Science University of Alabama Tuscaloosa, Alabama USA email: [atkison@cs.ua.edu](atkison@cs.ua.edu)[ ](atkison@cs.ua.edu)[ORCID: 0000-0001-7258-7355](ORCID: 0000-0001-7258-7355)  \nAbstract—Detecting and mitigating wormhole attacks in wir","cbCaiuTOhnulOxXc","https://ap.wps.com/l/cbCaiuTOhnulOxXc","pdf",555840,13,"English","# Abstract\n# Keywords\n# Introduction","[{\"question\":\"What is the core idea of the proposed wormhole detection method?\",\"answer\":\"The method analyzes propagation delay timings between network nodes to identify anomalous behavior consistent with wormhole attacks.\"},{\"question\":\"How does the approach distinguish between normal routes and wormhole shortcuts?\",\"answer\":\"It collects propagation delay data for both normal network scenarios and scenarios with inserted malicious wormhole nodes, then compares the delay patterns to separate legitimate paths from potential shortcuts.\"},{\"question\":\"Which tool is used to validate the effectiveness of the method?\",\"answer\":\"The paper uses the NS-3 network simulator to validate accurate wormhole detection and mitigation.\"}]","Leveraging Propagation Delay for Wormhole Detection in Wireless Networks | PDF",33]