{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T14:30:06Z","timestamp":1743085806395,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031458774"},{"type":"electronic","value":"9783031458781"}],"license":[{"start":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T00:00:00Z","timestamp":1698278400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T00:00:00Z","timestamp":1698278400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-45878-1_7","type":"book-chapter","created":{"date-parts":[[2023,10,25]],"date-time":"2023-10-25T23:03:00Z","timestamp":1698274980000},"page":"97-103","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Shrew Distributed Denial-of-Service (DDoS) Attack in\u00a0IoT Applications: A Survey"],"prefix":"10.1007","author":[{"given":"Harshdeep","family":"Singh","sequence":"first","affiliation":[]},{"given":"Vishnu Vardhan","family":"Baligodugula","sequence":"additional","affiliation":[]},{"given":"Fathi","family":"Amsaad","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,10,26]]},"reference":[{"issue":"9","key":"7_CR1","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1016\/j.jpdc.2006.04.007","volume":"66","author":"Yu Chen","year":"2006","unstructured":"Chen, Yu., Hwang, K.: Collaborative detection and filtering of shrew DDoS attacks using spectral analysis. J. Parallel Distrib. Comput. 66(9), 1137\u20131151 (2006)","journal-title":"J. Parallel Distrib. Comput."},{"key":"7_CR2","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1007\/s11235-004-5581-0","volume":"28","author":"L Li","year":"2005","unstructured":"Li, L., Lee, G.: DDoS attack detection and wavelets. Telecommun. Syst. 28, 435\u2013451 (2005)","journal-title":"Telecommun. Syst."},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Toutsop, O., Das, S., Kornegay, K.: Exploring the security issues in home-based IoT devices through denial of service attacks. In: 2021 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation (SmartWorld\/SCALCOM\/UIC\/ATC\/IOP\/SCI). IEEE (2021)","DOI":"10.1109\/SWC50871.2021.00062"},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Takahashi, Y., Inamura, H., Nakamura, Y.: A low-rate DDoS strategy for unknown bottleneck link characteristics. In: 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE (2021)","DOI":"10.1109\/PerComWorkshops51409.2021.9430992"},{"key":"7_CR5","doi-asserted-by":"crossref","unstructured":"Agrawal, P.K., Gupta, B.B., Jain, S.: SVM based scheme for predicting number of zombies in a DDoS attack. In: 2011 European Intelligence and Security Informatics Conference. IEEE (2011)","DOI":"10.1109\/EISIC.2011.19"},{"issue":"18","key":"7_CR6","doi-asserted-by":"publisher","first-page":"5298","DOI":"10.3390\/s20185298","volume":"20","author":"L Huraj","year":"2020","unstructured":"Huraj, L., \u0160imon, M., Hor\u00e1k, T.: Resistance of IoT sensors against DDoS attack in smart home environment. Sensors 20(18), 5298 (2020)","journal-title":"Sensors"},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Sinha, M., et al.: Securing an accelerator-rich system from flooding-based denial-of-service attacks. IEEE Trans. Emerg. Top. Comput. 10(2), 855\u2013869 (2021)","DOI":"10.1109\/TETC.2021.3049826"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Araki, R., Hsu, Y.-F., Matsuoka, M.: Early detection of campus network DDoS attacks using predictive models. In: GLOBECOM 2022\u20132022 IEEE Global Communications Conference. IEEE (2022)","DOI":"10.1109\/GLOBECOM48099.2022.10000974"},{"key":"7_CR9","doi-asserted-by":"crossref","unstructured":"Ali, J., et al.: A machine learning framework for prevention of software-defined networking controller from DDoS attacks and dimensionality reduction of big data. In: 2020 International Conference on Information and Communication Technology Convergence (ICTC). IEEE (2020)","DOI":"10.1109\/ICTC49870.2020.9289504"},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"Ibrahim, R.F., Al-Haija, Q.A., Ahmad, A.: DDoS attack prevention for internet of thing devices using ethereum blockchain technology. Sensors 22(18), 6806 (2022)","DOI":"10.3390\/s22186806"},{"key":"7_CR11","doi-asserted-by":"crossref","unstructured":"Rani, S.V.J., et al.: Detection of DDoS attacks in D2D communications using machine learning approach. Comput. Commun. 198,32\u201351 (2023)","DOI":"10.1016\/j.comcom.2022.11.013"},{"key":"7_CR12","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1007\/978-981-10-6364-0_44","volume-title":"Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration","author":"Y Shen","year":"2017","unstructured":"Shen, Y., Fei, M., Du, D., Zhang, W., Stankovi\u0107, S., Raki\u0107, A.: Cyber security against denial of service of attacks on load frequency control of multi-area power systems. In: Li, K., Xue, Y., Cui, S., Niu, Q., Yang, Z., Luk, P. (eds.) LSMS\/ICSEE -2017. CCIS, vol. 763, pp. 439\u2013449. Springer, Singapore (2017). https:\/\/doi.org\/10.1007\/978-981-10-6364-0_44"},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Al-Maani, M., et al.: A classifier to detect number of machines performing DoS attack against arduino Opl\u00e0 device in IoT environment. In: 2022 5th International Conference on Advanced Communication Technologies and Networking (CommNet). IEEE (2022)","DOI":"10.1109\/CommNet56067.2022.9993816"},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Rustam, F., et al.: Denial of service attack classification using machine learning with multi-features. Electronics 11(22), 3817 (2022)","DOI":"10.3390\/electronics11223817"},{"key":"7_CR15","doi-asserted-by":"crossref","unstructured":"Biron, Z.A., Dey, S., Pisu, P.: Real-time detection and estimation of denial of service attack in connected vehicle systems. IEEE Trans. Intelli. Transport. Syst. 19(12), 3893\u20133902 (2018)","DOI":"10.1109\/TITS.2018.2791484"},{"key":"7_CR16","doi-asserted-by":"crossref","unstructured":"Idhammad, M., Afdel, K., Belouch, M.: Detection system of HTTP DDoS attacks in a cloud environment based on information theoretic entropy and random forest. In: Security and Communication Networks 2018 (2018)","DOI":"10.1155\/2018\/1263123"}],"container-title":["IFIP Advances in Information and Communication Technology","Internet of Things. Advances in Information and Communication Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-45878-1_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,25]],"date-time":"2023-10-25T23:04:22Z","timestamp":1698275062000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-45878-1_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,26]]},"ISBN":["9783031458774","9783031458781"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-45878-1_7","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2023,10,26]]},"assertion":[{"value":"26 October 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IFIPIoT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Internet of Things Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Denton, TX","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ifipiot2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ifip-iotconference.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EDAS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"84","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"27","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"43% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}