{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T10:58:26Z","timestamp":1756897106544,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,6,28]],"date-time":"2021-06-28T00:00:00Z","timestamp":1624838400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,6,28]]},"DOI":"10.1145\/3468218.3469050","type":"proceedings-article","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T17:52:26Z","timestamp":1624297946000},"page":"73-78","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Poisoning Attack Anticipation in Mobile Crowdsensing"],"prefix":"10.1145","author":[{"given":"Alexandre","family":"Prud'Homme","sequence":"first","affiliation":[{"name":"University of Ottawa, Ottawa, ON"}]},{"given":"Burak","family":"Kantarci","sequence":"additional","affiliation":[{"name":"University of Ottawa, Ottawa, ON"}]}],"member":"320","published-online":{"date-parts":[[2021,6,28]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Muhammad Mostafa Monowar, and Suhair Alshehri","author":"Alamri Bayan","year":"2018","unstructured":"Bayan Alamri , Muhammad Mostafa Monowar, and Suhair Alshehri . 2018 . A privacy-preserving collaborative reputation system for mobile crowdsensing. International Journal of Distributed Sensor Networks 14 (09 2018), 155014771880218. Bayan Alamri, Muhammad Mostafa Monowar, and Suhair Alshehri. 2018. A privacy-preserving collaborative reputation system for mobile crowdsensing. International Journal of Distributed Sensor Networks 14 (09 2018), 155014771880218."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Abdelmalek Amine Zakaria Elberrichi Michel Simonet and Mimoun Malki. 2008. WordNet-Based and N-Grams-Based Document Clustering: A Comparative Study. 394 - 401. https:\/\/doi.org\/10.1109\/BROADCOM.2008.7  Abdelmalek Amine Zakaria Elberrichi Michel Simonet and Mimoun Malki. 2008. WordNet-Based and N-Grams-Based Document Clustering: A Comparative Study. 394 - 401. https:\/\/doi.org\/10.1109\/BROADCOM.2008.7","DOI":"10.1109\/BROADCOM.2008.7"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-61616-8_66"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2914030"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"e_1_3_2_1_6_1","volume-title":"Locally Reconfigurable Self Organizing Feature Map for High Impact Malicious Tasks Submission in Mobile Crowdsensing. Internet of Things","author":"Chen Xuankai","year":"2020","unstructured":"Xuankai Chen , Murat Simsek , and Burak Kantarci . 2020. Locally Reconfigurable Self Organizing Feature Map for High Impact Malicious Tasks Submission in Mobile Crowdsensing. Internet of Things ( 2020 ), 100297. Xuankai Chen, Murat Simsek, and Burak Kantarci. 2020. Locally Reconfigurable Self Organizing Feature Map for High Impact Malicious Tasks Submission in Mobile Crowdsensing. Internet of Things (2020), 100297."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2014.2361493"},{"volume-title":"IEEE Global Communications Conf. 1--6.","author":"Huang Z.","key":"e_1_3_2_1_8_1","unstructured":"Z. Huang , M. Pan , and Y. Gong . 2019. Robust Truth Discovery against Data Poisoning in Mobile Crowdsensing . In IEEE Global Communications Conf. 1--6. Z. Huang, M. Pan, and Y. Gong. 2019. Robust Truth Discovery against Data Poisoning in Mobile Crowdsensing. In IEEE Global Communications Conf. 1--6."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2014.2337886"},{"key":"e_1_3_2_1_10_1","volume-title":"IEEE 13th Intl. Conf. on Industrial Informatics (INDIN). 142--148","author":"Haller Piroska","year":"2015","unstructured":"Istv\u00c3¡n Kiss, B\u00c3\u00a9laGenge, and Piroska Haller . 2015 . A clustering-based approach to detect cyber attacks in process control systems . In IEEE 13th Intl. Conf. on Industrial Informatics (INDIN). 142--148 . Istv\u00c3¡n Kiss, B\u00c3\u00a9laGenge, and Piroska Haller. 2015. A clustering-based approach to detect cyber attacks in process control systems. In IEEE 13th Intl. Conf. on Industrial Informatics (INDIN). 142--148."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2962914"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2962914"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3185504"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Y. Liu L. Kong and G. Chen. 2019. Data-Oriented Mobile Crowdsensing: A Comprehensive Survey. IEEE Comm. Surveys Tutorials 21\/3 (2019) 2849--2885.  Y. Liu L. Kong and G. Chen. 2019. Data-Oriented Mobile Crowdsensing: A Comprehensive Survey. IEEE Comm. Surveys Tutorials 21\/3 (2019) 2849--2885.","DOI":"10.1109\/COMST.2019.2910855"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3139243.3139251"},{"key":"e_1_3_2_1_16_1","volume-title":"Towards Data Poisoning Attacks in Crowd Sensing Systems. In 18th ACM Intl. Symp. on Mobile Ad Hoc Networking and Computing. 111--120","author":"Miao Chenglin","year":"2018","unstructured":"Chenglin Miao , Qi Li , Houping Xiao , Wenjun Jiang , Mengdi Huai , and Lu Su . 2018 . Towards Data Poisoning Attacks in Crowd Sensing Systems. In 18th ACM Intl. Symp. on Mobile Ad Hoc Networking and Computing. 111--120 . Chenglin Miao, Qi Li, Houping Xiao, Wenjun Jiang, Mengdi Huai, and Lu Su. 2018. Towards Data Poisoning Attacks in Crowd Sensing Systems. In 18th ACM Intl. Symp. on Mobile Ad Hoc Networking and Computing. 111--120."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3321408.3321602"},{"key":"e_1_3_2_1_19_1","article-title":"FIRST: A Framework for Optimizing Information Quality in Mobile Crowdsensing Systems","volume":"15","author":"Restuccia Francesco","year":"2018","unstructured":"Francesco Restuccia , Pierluca Ferraro , Timothy S. Sanders , Simone Silvestri , Sajal K. Das , and Giuseppe Lo Re . 2018 . FIRST: A Framework for Optimizing Information Quality in Mobile Crowdsensing Systems . ACM Trans. Sen. Netw. 15 , 1, Article 5 (Dec. 2018), 35 pages. Francesco Restuccia, Pierluca Ferraro, Timothy S. Sanders, Simone Silvestri, Sajal K. Das, and Giuseppe Lo Re. 2018. FIRST: A Framework for Optimizing Information Quality in Mobile Crowdsensing Systems. ACM Trans. Sen. Netw. 15, 1, Article 5 (Dec. 2018), 35 pages.","journal-title":"ACM Trans. Sen. Netw."},{"key":"e_1_3_2_1_20_1","volume-title":"An Empirical Study of the Na\u00c3ve Bayes Classifier. IJCAI 2001 Work Empir Methods Artif Intell 3 (01","author":"Rish Irina","year":"2001","unstructured":"Irina Rish . 2001 . An Empirical Study of the Na\u00c3ve Bayes Classifier. IJCAI 2001 Work Empir Methods Artif Intell 3 (01 2001). Irina Rish. 2001. An Empirical Study of the Na\u00c3ve Bayes Classifier. IJCAI 2001 Work Empir Methods Artif Intell 3 (01 2001)."},{"volume-title":"Knowledge-Based Machine Learning Boosting for Adversarial Task Detection in Mobile Crowdsensing. In 2020 IEEE Symposium on Computers and Communications (ISCC). 1--7.","author":"Simsek M.","key":"e_1_3_2_1_21_1","unstructured":"M. Simsek , B. Kantarci , and A. Boukerche . 2020 . Knowledge-Based Machine Learning Boosting for Adversarial Task Detection in Mobile Crowdsensing. In 2020 IEEE Symposium on Computers and Communications (ISCC). 1--7. M. Simsek, B. Kantarci, and A. Boukerche. 2020. Knowledge-Based Machine Learning Boosting for Adversarial Task Detection in Mobile Crowdsensing. In 2020 IEEE Symposium on Computers and Communications (ISCC). 1--7."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/MVT.2020.3002522"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2017.3971131"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/72.846731"},{"key":"e_1_3_2_1_25_1","unstructured":"Giuseppe Vettigli. 2018. MiniSom: minimalistic and NumPy-based implementation of the Self Organizing Map. https:\/\/github.com\/JustGlowing\/minisom\/  Giuseppe Vettigli. 2018. MiniSom: minimalistic and NumPy-based implementation of the Self Organizing Map. https:\/\/github.com\/JustGlowing\/minisom\/"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2019.2944984"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"C. Zhang L. Zhu C. Xu X. Liu and K. Sharif. 2019. Reliable and Privacy-Preserving Truth Discovery for Mobile Crowdsensing Systems. IEEE Transactions on Dependable and Secure Computing (2019) 1--1.  C. Zhang L. Zhu C. Xu X. Liu and K. Sharif. 2019. Reliable and Privacy-Preserving Truth Discovery for Mobile Crowdsensing Systems. IEEE Transactions on Dependable and Secure Computing (2019) 1--1.","DOI":"10.1109\/TDSC.2019.2919517"},{"key":"e_1_3_2_1_28_1","volume-title":"Challenges and Case Studies. In IEEE Intl. Conf. on Service-Oriented System Engineering (SOSE). IEEE, 17--1709","author":"Zhang Yueqian","year":"2019","unstructured":"Yueqian Zhang and Burak Kantarci . 2019 . AI-based Security Design of Mobile Crowdsensing Systems: Review , Challenges and Case Studies. In IEEE Intl. Conf. on Service-Oriented System Engineering (SOSE). IEEE, 17--1709 . Yueqian Zhang and Burak Kantarci. 2019. AI-based Security Design of Mobile Crowdsensing Systems: Review, Challenges and Case Studies. In IEEE Intl. Conf. on Service-Oriented System Engineering (SOSE). IEEE, 17--1709."},{"key":"e_1_3_2_1_29_1","unstructured":"Y. Zhang M. Simsek and B. Kantarci. 2020. Empowering Self-Organized Feature Maps for AI-Enabled Modelling of Fake Task Submissions to Mobile Crowdsensing Platforms. IEEE Internet of Things Journal (2020) 1--1.  Y. Zhang M. Simsek and B. Kantarci. 2020. Empowering Self-Organized Feature Maps for AI-Enabled Modelling of Fake Task Submissions to Mobile Crowdsensing Platforms. IEEE Internet of Things Journal (2020) 1--1."}],"event":{"name":"WiSec '21: 14th ACM Conference on Security and Privacy in Wireless and Mobile Networks","sponsor":["SIGSAC ACM Special Interest Group on Security, Audit, and Control","SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing"],"location":"Abu Dhabi United Arab Emirates","acronym":"WiSec '21"},"container-title":["Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3468218.3469050","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3468218.3469050","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:24:50Z","timestamp":1750195490000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3468218.3469050"}},"subtitle":["A Competitive Learning-Based Study"],"short-title":[],"issued":{"date-parts":[[2021,6,28]]},"references-count":29,"alternative-id":["10.1145\/3468218.3469050","10.1145\/3468218"],"URL":"https:\/\/doi.org\/10.1145\/3468218.3469050","relation":{},"subject":[],"published":{"date-parts":[[2021,6,28]]},"assertion":[{"value":"2021-06-28","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}