{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:32:04Z","timestamp":1759332724088,"version":"3.41.0"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030660451"},{"type":"electronic","value":"9783030660468"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-66046-8_32","type":"book-chapter","created":{"date-parts":[[2021,1,3]],"date-time":"2021-01-03T15:02:32Z","timestamp":1609686152000},"page":"386-397","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["A Novel Approach for Fake News Detection in Vehicular Ad-Hoc Network (VANET)"],"prefix":"10.1007","author":[{"given":"Akshat","family":"Gaurav","sequence":"first","affiliation":[]},{"given":"B. B.","family":"Gupta","sequence":"additional","affiliation":[]},{"given":"Arcangelo","family":"Castiglione","sequence":"additional","affiliation":[]},{"given":"Kostas","family":"Psannis","sequence":"additional","affiliation":[]},{"given":"Chang","family":"Choi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,1,4]]},"reference":[{"issue":"1","key":"32_CR1","doi-asserted-by":"publisher","first-page":"47","DOI":"10.4018\/IJSSCI.2019010104","volume":"11","author":"MM Hussain","year":"2019","unstructured":"Hussain, M.M., Beg, M.S.: Using vehicles as fog infrastructures for transportation cyber-physical systems (t-cps): Fog computing for vehicular networks. Int. J. Softw. Sci. Comput. Intell. (IJSSCI) 11(1), 47\u201369 (2019)","journal-title":"Int. J. Softw. Sci. Comput. Intell. (IJSSCI)"},{"key":"32_CR2","doi-asserted-by":"crossref","unstructured":"Mirsadeghi, F., Rafsanjani, M.K., et al.: A trust infrastructure based authentication method for clustered vehicular ad hoc networks. Peer-to-Peer Network. Appl., 1\u201317 (2020)","DOI":"10.1007\/s12083-020-01010-4"},{"key":"32_CR3","doi-asserted-by":"crossref","unstructured":"Kolandaisamy, R., et al.: A multivariant stream analysis approach to detect and mitigate ddos attacks in vehicular ad hoc networks. Wireless Communications and Mobile Computing 2018 (2018)","DOI":"10.1155\/2018\/2874509"},{"issue":"5","key":"32_CR4","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1109\/WC-M.2006.250356","volume":"13","author":"D Jiang","year":"2006","unstructured":"Jiang, D., Taliwal, V., Meier, A., Holfelder, W., Herrtwich, R.: Design of 5.9 GHz dsrc-based vehicular safety communication. IEEE Wireless Commun. 13(5), 36\u201343 (2006)","journal-title":"IEEE Wireless Commun."},{"key":"32_CR5","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.adhoc.2017.03.006","volume":"61","author":"F Sakiz","year":"2017","unstructured":"Sakiz, F., Sen, S.: A survey of attacks and detection mechanisms on intelligent transportation systems: Vanets and IoV. Ad Hoc Netw. 61, 33\u201350 (2017)","journal-title":"Ad Hoc Netw."},{"key":"32_CR6","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Sun, R., Zhao, C., Wang, J., Chang, C.K., et al.: CyVOD: a novel trinity multimedia social network scheme. Multimedia Tools Appl. 76(18), 18513\u201318529 (2017)","DOI":"10.1007\/s11042-016-4162-z"},{"key":"32_CR7","unstructured":"Chaudhary, P., Gupta, B.B., Gupta, S.: Cross-site scripting (XSS) worms in Online Social Network (OSN): taxonomy and defensive mechanisms. In: 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), pp. 2131\u20132136. IEEE, March 2016"},{"issue":"16","key":"32_CR8","doi-asserted-by":"publisher","first-page":"4360","DOI":"10.3390\/s20164360","volume":"20","author":"Y Xiao","year":"2020","unstructured":"Xiao, Y., Liu, Y., Li, T.: Edge computing and blockchain for quick fake news detection in IoV. Sensors 20(16), 4360 (2020)","journal-title":"Sensors"},{"key":"32_CR9","doi-asserted-by":"publisher","first-page":"123174","DOI":"10.1016\/j.physa.2019.123174","volume":"540","author":"FA Ozbay","year":"2020","unstructured":"Ozbay, F.A., Alatas, B.: Fake news detection within online social media using supervised artificial intelligence algorithms. Physica A: Stat. Mech. Appl. 540, 123174 (2020)","journal-title":"Physica A: Stat. Mech. Appl."},{"key":"32_CR10","doi-asserted-by":"crossref","unstructured":"Zhou, X., Wu, J., Zafarani, R.: Safe: Similarity-aware multi-modal fake news detection. arXiv preprint arXiv:2003.04981 (2020)","DOI":"10.1007\/978-3-030-47436-2_27"},{"issue":"8","key":"32_CR11","first-page":"8","volume":"140","author":"V Raghuwanshi","year":"2016","unstructured":"Raghuwanshi, V., Lilhore, U.: Neighbor trust algorithm (nta) to protect vanet from denial of service attack (dos). Int. J. Comput. Appl. 140(8), 8\u201312 (2016)","journal-title":"Int. J. Comput. Appl."},{"key":"32_CR12","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1016\/j.procs.2015.01.006","volume":"46","author":"U Khan","year":"2015","unstructured":"Khan, U., Agrawal, S., Silakari, S.: Detection of malicious nodes (dmn) in vehicular ad-hoc networks. Procedia Comput. Sci. 46, 965\u2013972 (2015)","journal-title":"Procedia Comput. Sci."},{"issue":"1","key":"32_CR13","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1007\/s11277-013-1161-5","volume":"73","author":"K Verma","year":"2013","unstructured":"Verma, K., Hasbullah, H., Kumar, A.: Prevention of dos attacks in vanet. Wireless personal communications 73(1), 95\u2013126 (2013). https:\/\/doi.org\/10.1007\/s11277-013-1161-5","journal-title":"Wireless personal communications"},{"issue":"8","key":"32_CR14","first-page":"14","volume":"86","author":"A Sinha","year":"2014","unstructured":"Sinha, A., Mishra, S.K.: Queue limiting algorithm (qla) for protecting vanet from denial of service (dos) attack. Int. J. Comput. Appl. Technol. 86(8), 14\u201317 (2014)","journal-title":"Int. J. Comput. Appl. Technol."},{"key":"32_CR15","doi-asserted-by":"crossref","unstructured":"Kumar, S., Mann, K.S.: Detection of multiple malicious nodes using entropy for mitigating the effect of denial of service attack in vanets. In: 2018 4th International Conference on Computing Sciences (ICCS), pp. 72\u201379. IEEE (2018)","DOI":"10.1109\/ICCS.2018.00018"},{"key":"32_CR16","doi-asserted-by":"crossref","unstructured":"Singh, A., Sharma, P.: A novel mechanism for detecting dos attack in vanet using enhanced attacked packet detection algorithm (EAPDA). In: 2015 2nd International Conference on Recent Advances in Engineering & Computational sciences (RAECS), pp. 1\u20135. IEEE (2015)","DOI":"10.1109\/RAECS.2015.7453358"},{"key":"32_CR17","doi-asserted-by":"crossref","unstructured":"Quyoom, A., Ali, R., Gouttam, D.N., Sharma, H.: A novel mechanism of detection of denial of service attack (dos) in vanet using malicious and irrelevant packet detection algorithm (mipda). In: International Conference on Computing, Communication & Automation, pp. 414\u2013419. IEEE (2015)","DOI":"10.1109\/CCAA.2015.7148411"},{"key":"32_CR18","doi-asserted-by":"crossref","unstructured":"RoselinMary, S., Maheshwari, M., Thamaraiselvan, M.: Early detection of dos attacks in vanet using attacked packet detection algorithm (APDA). In: 2013 International Conference on Information Communication and Embedded Systems (ICICES), pp. 237\u2013240. IEEE (2013)","DOI":"10.1109\/ICICES.2013.6508250"},{"key":"32_CR19","doi-asserted-by":"crossref","unstructured":"Gandhi, U.D., Keerthana, R.: Request response detection algorithm for detecting dos attack in VANET. In: 2014 International Conference on Reliability Optimization and Information Technology (ICROIT), pp. 192\u2013194. IEEE (2014)","DOI":"10.1109\/ICROIT.2014.6798334"},{"key":"32_CR20","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.peva.2015.01.003","volume":"87","author":"L Mokdad","year":"2015","unstructured":"Mokdad, L., Ben-Othman, J., Nguyen, A.T.: Djavan: detecting jamming attacks in vehicle ad hoc networks. Perform. Eval. 87, 47\u201359 (2015)","journal-title":"Perform. Eval."},{"key":"32_CR21","doi-asserted-by":"crossref","unstructured":"Choudhari, D.P., Dorle, S.S.: Maximization of packet delivery ratio for DADCQ protocol after removal of eavesdropping and ddos attacks in VANET. In: 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1\u20138. IEEE (2019)","DOI":"10.1109\/ICCCNT45670.2019.8944485"},{"key":"32_CR22","doi-asserted-by":"crossref","unstructured":"Mejri, M.N., Ben-Othman, J.: Entropy as a new metric for denial of service attack detection in vehicular ad-hoc networks. In: Proceedings of the 17th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, pp. 73\u201379 (2014)","DOI":"10.1145\/2641798.2641800"},{"issue":"9","key":"32_CR23","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1016\/S0169-5347(99)01664-X","volume":"14","author":"JJ Ruel","year":"1999","unstructured":"Ruel, J.J., Ayres, M.P.: Jensen\u2019s inequality predicts effects of environmental variation. Trends in Ecol. Evol. 14(9), 361\u2013366 (1999)","journal-title":"Trends in Ecol. Evol."}],"container-title":["Lecture Notes in Computer Science","Computational Data and Social Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-66046-8_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,2]],"date-time":"2025-06-02T03:48:40Z","timestamp":1748836120000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-66046-8_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030660451","9783030660468"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-66046-8_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"4 January 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CSoNet","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Data and Social Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dallas, 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":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 December 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"csonet2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/optnetsci.cise.ufl.edu\/CSoNet\/","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":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"83","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":"20","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":"0","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":"24% - 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":"3,4","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":"3","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)"}}]}}