Search results for "Fraudulent"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
102	Yi-Bing Lin, Ming-Feng Chen, Herman Chung-Hwa Rao	Potential Fraudulent Usage in Mobile Telecommunications Networks.	IEEE Trans. Mob. Comput.	2002	DBLP DOI BibTeX RDF	Fraudulent usage, subscriber identity module (SIM), mobile network, Universal Mobile Telecommunication System (UMTS), mobility management, GSM
89	Ahmed Obied, Reda Alhajj	Fraudulent and malicious sites on the web.	Appl. Intell.	2009	DBLP DOI BibTeX RDF	Fraudulent, Malicious, Web, Search engines, Spam, Malware, Proxy, Phishing, Crawlers, Pharming
84	Bezalel Gavish, Christopher Tucci	Fraudulent auctions on the Internet.	Electron. Commer. Res.	2006	DBLP DOI BibTeX RDF
58	Rua-Huan Tsaih, Wanying Lin, Shin-Ying Huang	Exploring Fraudulent Financial Reporting with GHSOM.	PAISI	2009	DBLP DOI BibTeX RDF	Financial Reporting Fraud, Growing Hierarchical Self-Organizing Map, Knowledge Extraction
45	Zheng Zhang 0009, Y. Charlie Hu, Samuel P. Midkiff	Grid resource management - CycleMeter: detecting fraudulent peers in internet cycle sharing.	SC	2006	DBLP DOI BibTeX RDF	peer-to-Peer, benchmarking, monitoring, operating systems
45	Joaquín García 0001, Frédéric Cuppens, Fabien Autrel, Jordi Castellà-Roca, Joan Borrell, Guillermo Navarro 0001, Jose A. Ortega-Ruiz	Protecting On-Line Casinos against Fraudulent Player Drop-Out.	ITCC (1)	2005	DBLP DOI BibTeX RDF
39	Amlan Kundu 0002, Shamik Sural, Arun K. Majumdar	Two-Stage Credit Card Fraud Detection Using Sequence Alignment.	ICISS	2006	DBLP DOI BibTeX RDF
39	Nicole Immorlica, Kamal Jain, Mohammad Mahdian, Kunal Talwar	Click Fraud Resistant Methods for Learning Click-Through Rates.	WINE	2005	DBLP DOI BibTeX RDF
39	Lutz Lowis, Adolf Hohl	Enabling Persistent Service Links.	CEC	2005	DBLP DOI BibTeX RDF
39	Gustavus J. Simmons	Message Authentication with Arbitration of Transmitter/Receiver Disputes.	EUROCRYPT	1987	DBLP DOI BibTeX RDF
38	Razvan-Alexandru Bratulescu, Robert-Ionut Vatasoiu, Sorina-Andreea Mitroi, George Suciu, Mari-Anais Sachian, Daniel-Marian Dutu, Serban-Emanuel Calescu	Fraudulent Activities in the Cyber Realm: DEFRAUDify Project: Fraudulent Activities in the Cyber Realm: DEFRAUDify Project.	ARES	2022	DBLP DOI BibTeX RDF
38	Nina Eklo Kjesbu, Atle Engebø, Ola Lædre, Jardar Lohne	Countering counterfeit, fraudulent and sub-standard materials in construction: Countermeasures to avoid the use of counterfeit, fraudulent and sub-standard steel materials in the Norwegian construction industry.	CSIT (2)	2017	DBLP DOI BibTeX RDF
32	Osama Dandash, Yiling Wang, Phu Dung Le, Bala Srinivasan 0002	A new Dynamic Key Generation Scheme for Fraudulent Internet Payment Prevention.	ITNG	2007	DBLP DOI BibTeX RDF
32	Duen Horng Chau, Shashank Pandit, Christos Faloutsos	Detecting Fraudulent Personalities in Networks of Online Auctioneers.	PKDD	2006	DBLP DOI BibTeX RDF
32	Sotiris B. Kotsiantis, Euaggelos Koumanakos, Dimitris Tzelepis, Vasilis Tampakas	Predicting Fraudulent Financial Statements with Machine Learning Techniques.	SETN	2006	DBLP DOI BibTeX RDF
31	Joseph Idziorek, Mark Tannian	Exploiting Cloud Utility Models for Profit and Ruin.	IEEE CLOUD	2011	DBLP DOI BibTeX RDF	utility compute model, fraudulent resource consumption attack, application-layer DDoS, cloud computing, anomaly detection
26	Alex Brodsky, Scott Lindenberg	Our Brothers' Keepers: Secure Routing with High Performance.	SSS	2008	DBLP DOI BibTeX RDF	peer authentication, distributed hash tables, Secure routing
26	Vasilis Pappas, Elias Athanasopoulos, Sotiris Ioannidis, Evangelos P. Markatos	Compromising Anonymity Using Packet Spinning.	ISC	2008	DBLP DOI BibTeX RDF
26	Gaurav Gupta, Sanjoy Kumar Saha 0001, Shayok Chakraborty, Chandan Mazumdar	Document Frauds: Identification and Linking Fake Document to Scanners and Printers.	ICCTA	2007	DBLP DOI BibTeX RDF
26	Tyler Moore 0001, Richard Clayton 0001	Examining the impact of website take-down on phishing.	eCrime Researchers Summit	2007	DBLP DOI BibTeX RDF	electronic crime, phishing, security economics
26	T. Maruthi Padmaja, Narendra Dhulipalla, P. Radha Krishna 0001, Raju S. Bapi, Arijit Laha	An Unbalanced Data Classification Model Using Hybrid Sampling Technique for Fraud Detection.	PReMI	2007	DBLP DOI BibTeX RDF	Hybrid Sampling and Data Mining, Fraud detection, VDM, SMOTE
26	Péter L. Venetianer, Zhong Zhang, Andrew W. Scanlon, Yongtong Hu, Alan J. Lipton	Video verification of point of sale transactions.	AVSS	2007	DBLP DOI BibTeX RDF
26	Suvasini Panigrahi, Amlan Kundu 0002, Shamik Sural, Arun K. Majumdar	Use of Dempster-Shafer Theory and Bayesian Inferencing for Fraud Detection in Mobile Communication Networks.	ACISP	2007	DBLP DOI BibTeX RDF	Dempster-Shafer theory, fraud detection, Bayesian learning, Mobile communication networks
26	Steve Sheng, Bryant Magnien, Ponnurangam Kumaraguru, Alessandro Acquisti, Lorrie Faith Cranor, Jason I. Hong, Elizabeth Nunge	Anti-Phishing Phil: the design and evaluation of a game that teaches people not to fall for phish.	SOUPS	2007	DBLP DOI BibTeX RDF	development and testing, learning science, security user education, game design, phishing, interactive learning, usable privacy and security
26	Rachna Dhamija, J. D. Tygar, Marti A. Hearst	Why phishing works.	CHI	2006	DBLP DOI BibTeX RDF	phishing user study, why phishing works, phishing, security usability
26	Mohammad S. Raunak, Bin Chen 0018, Amr Elssamadisy, Lori A. Clarke, Leon J. Osterweil	Definition and Analysis of Election Processes.	SPW/ProSim	2006	DBLP DOI BibTeX RDF
26	Sotiris B. Kotsiantis, Euaggelos Koumanakos, Dimitris Tzelepis, Vasilis Tampakas	Financial Application of Neural Networks: Two Case Studies in Greece.	ICANN (2)	2006	DBLP DOI BibTeX RDF	fraud detection, bankruptcy prediction
26	Longbing Cao	Activity Mining: Challenges and Prospects.	ADMA	2006	DBLP DOI BibTeX RDF	Activity data, activity mining, impact-targeted mining, unbalanced data
26	Ian MacInnes, Damani Musgrave, Jason Laska	Electronic Commerce Fraud: Towards an Understanding of the Phenomenon.	HICSS	2005	DBLP DOI BibTeX RDF
26	Shuo Yang, Ali Raza Butt, Y. Charlie Hu, Samuel P. Midkiff	Trust but verify: monitoring remotely executing programs for progress and correctness.	PPoPP	2005	DBLP DOI BibTeX RDF	progress monitoring, security, grid computing, trustworthiness, correctness verification, cycle-sharing
26	Jianping Zhang, Eric Bloedorn, Lowell Rosen, Daniel Venese	Learning Rules from Highly Unbalanced Data Sets.	ICDM	2004	DBLP DOI BibTeX RDF
26	Boris Padovan, Stefan Sackmann, Torsten Eymann, Ingo Pippow	A Prototype for an Agent based Secure Electronic Marketplace Including Reputation Tracking Mechanisms.	HICSS	2001	DBLP DOI BibTeX RDF	Agent-based Electronic Marketplaces, Reputation Tracking, Security, Agent-Mediated Electronic Commerce
19	Jaber Jemai, Anis Zarrad, Ali Daud	Identifying Fraudulent Credit Card Transactions Using Ensemble Learning.	IEEE Access	2024	DBLP DOI BibTeX RDF
19	Mariana Carrasco, António Rito Silva, Rui Henriques	Detecting Fraudulent Student Communication in a Multiple Choice Online Test Environment.	IEEE Trans. Comput. Soc. Syst.	2024	DBLP DOI BibTeX RDF
19	Trishie Sharma, Rachit Agarwal 0002, Sandeep Kumar Shukla	Understanding Rug Pulls: An In-depth Behavioral Analysis of Fraudulent NFT Creators.	ACM Trans. Web	2024	DBLP DOI BibTeX RDF
19	Said El Kafhali, Mohammed Tayebi, Hamza Sulimani	An Optimized Deep Learning Approach for Detecting Fraudulent Transactions.	Inf.	2024	DBLP DOI BibTeX RDF
19	Debalina Bera, Obi Ogbanufe, Dan J. Kim 0001	Towards a thematic dimensional framework of online fraud: An exploration of fraudulent email attack tactics and intentions.	Decis. Support Syst.	2023	DBLP DOI BibTeX RDF
19	Deepti Sisodia, Dilip Singh Sisodia	A transfer learning framework towards identifying behavioral changes of fraudulent publishers in pay-per-click model of online advertising for click fraud detection.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
19	Hassan B. Kazemian, Subeksha Shrestha	Comparisons of machine learning techniques for detecting fraudulent criminal identities.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
19	S. J. Sultanuddin, Devulapalli Sudhee, Priyanka Prakash Satve, M. Sumithra, K. B. Sathyanarayana, R. Krishna Kumari, Jonnadula Narasimharao, R. Vijaya Kumar Reddy, R. Rajkumar	Cognitive computing and 3D facial tracking method to explore the ethical implication associated with the detection of fraudulent system in online examination.	J. Intell. Fuzzy Syst.	2023	DBLP DOI BibTeX RDF
19	T. Nathezhtha, Vaidehi V., Sangeetha Dhamodaran	Detection of fraudulent marketing of consumer product in social networking services.	J. Intell. Fuzzy Syst.	2023	DBLP DOI BibTeX RDF
19	Delton Myalil, M. A. Rajan, Manoj Apte, Sachin Lodha	Robust Cross-Silo Federated Fraudulent Transaction Detection in Banks Using Epsilon Cluster Selection.	SN Comput. Sci.	2023	DBLP DOI BibTeX RDF
19	P. Saraswathi, J. V. Anchitaalagammai, R. Kavitha	A System Review on Fraudulent Website Detection Using Machine Learning Technique.	SN Comput. Sci.	2023	DBLP DOI BibTeX RDF
19	Ichiro Asomura, Ryo Iijima, Tatsuya Mori	Automating the Detection of Fraudulent Activities in Online Banking Service.	J. Inf. Process.	2023	DBLP DOI BibTeX RDF
19	Michio Kunimoto, Takao Okubo	Analysis and Consideration of Detection Methods to Prevent Fraudulent Access by Utilizing Attribute Information and the Access Log History.	J. Inf. Process.	2023	DBLP DOI BibTeX RDF
19	Md. Enamul Haque, Mehmet Engin Tozal	Identification of Fraudulent Healthcare Claims Using Fuzzy Bipartite Knowledge Graphs.	IEEE Trans. Serv. Comput.	2023	DBLP DOI BibTeX RDF
19	Deepak Kumar Rakesh, Prasanta K. Jana	An improved differential evolution algorithm for quantifying fraudulent transactions.	Pattern Recognit.	2023	DBLP DOI BibTeX RDF
19	Lavanya Settipalli, G. R. Gangadharan	Provider profiling and labeling of fraudulent health insurance claims using Weighted MultiTree.	J. Ambient Intell. Humaniz. Comput.	2023	DBLP DOI BibTeX RDF
19	Qasim Umer, Jian-Wei Li, Muhammad Rehan Ashraf, Rab Nawaz Bashir, Hamid Ghous	Ensemble Deep Learning-Based Prediction of Fraudulent Cryptocurrency Transactions.	IEEE Access	2023	DBLP DOI BibTeX RDF
19	Ghulam Muhammad, M. Shamim Hossain, Sahil Garg	Stacked Autoencoder-Based Intrusion Detection System to Combat Financial Fraudulent.	IEEE Internet Things J.	2023	DBLP DOI BibTeX RDF
19	Marcel Naudé, Kolawole John Adebayo, Rohan Nanda	A machine learning approach to detecting fraudulent job types.	AI Soc.	2023	DBLP DOI BibTeX RDF
19	Fatima Zohra El Hlouli, Jamal Riffi, Mhamed Sayyouri, Mohamed Adnane Mahraz, Ali Yahyaouy, Khalid El Fazazy, Hamid Tairi	Detecting Fraudulent Transactions Using Stacked Autoencoder Kernel ELM Optimized by the Dandelion Algorithm.	J. Theor. Appl. Electron. Commer. Res.	2023	DBLP DOI BibTeX RDF
19	Jens Friess, Haya Schulmann, Michael Waidner	Revocation Speedrun: How the WebPKI Copes with Fraudulent Certificates.	PACMNET	2023	DBLP DOI BibTeX RDF
19	Dalia Breskuviene, Gintautas Dzemyda	Categorical Feature Encoding Techniques for Improved Classifier Performance when Dealing with Imbalanced Data of Fraudulent Transactions.	Int. J. Comput. Commun. Control	2023	DBLP DOI BibTeX RDF
19	Zuxi Chen, ShiFan Zhang, XianLi Zeng, Meng Mei, Xiangyu Luo, Lixiao Zheng	Parallel path detection for fraudulent accounts in banks based on graph analysis.	PeerJ Comput. Sci.	2023	DBLP DOI BibTeX RDF
19	Bohdan Mytnyk, Oleksandr Tkachyk, Nataliya Shakhovska, Solomiia Fedushko, Yuriy Syerov	Application of Artificial Intelligence for Fraudulent Banking Operations Recognition.	Big Data Cogn. Comput.	2023	DBLP DOI BibTeX RDF
19	Saleh Muhammad Rubai	Development of hyper-parameter-tuned-recurrent neural network for detection and mitigation of fraudulent resource consumption attack in cloud.	Trans. Emerg. Telecommun. Technol.	2023	DBLP DOI BibTeX RDF
19	Trishie Sharma, Rachit Agarwal 0002, Sandeep Kumar Shukla	Understanding Rug Pulls: An In-Depth Behavioral Analysis of Fraudulent NFT Creators.	CoRR	2023	DBLP DOI BibTeX RDF
19	Youssef Elmougy, Ling Liu 0001	Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics.	CoRR	2023	DBLP DOI BibTeX RDF
19	Jared Gridley, Oshani Seneviratne	Significant Digits: Using Large-Scale Blockchain Data to Predict Fraudulent Addresses.	CoRR	2023	DBLP DOI BibTeX RDF
19	Aishwarya Deep Shukla, Laksh Agarwal, Jie-Mein Goh, Guodong (Gordon) Gao, Ritu Agarwal	Catch Me If You Can: Identifying Fraudulent Physician Reviews with Large Language Models Using Generative Pre-Trained Transformers.	CoRR	2023	DBLP DOI BibTeX RDF
19	Fei Xiao, Yuncheng Wu, Meihui Zhang 0001, Gang Chen 0001, Beng Chin Ooi	MINT: Detecting Fraudulent Behaviors from Time-series Relational Data. (PDF / PS)	Proc. VLDB Endow.	2023	DBLP DOI BibTeX RDF
19	Junjie Zhou, Hongkui Xu, Zifeng Zhang, Jiangkun Lu, Wentao Guo, Zhenye Li	Using Recurrent Neural Network Structure and Multi-Head Attention with Convolution for Fraudulent Phone Text Recognition.	Comput. Syst. Sci. Eng.	2023	DBLP DOI BibTeX RDF
19	Liangjun Li, Jian Xu 0009	Graph transformer-based self-adaptive malicious relation filtering for fraudulent comments detection in social network.	Knowl. Based Syst.	2023	DBLP DOI BibTeX RDF
19	B. J. Sowmya, R. Hanumantharaju, D. Pradeep Kumar, K. G. Srinivasa 0001	Identification of authorship and prevention of fraudulent transactions/cybercrime using efficient high performance machine learning techniques.	Int. J. Bus. Intell. Data Min.	2023	DBLP DOI BibTeX RDF
19	Daniel De Pascale, Giuseppe Cascavilla, Damian A. Tamburri, Willem-Jan van den Heuvel	Real-world K-Anonymity applications: The KGen approach and its evaluation in fraudulent transactions.	Inf. Syst.	2023	DBLP DOI BibTeX RDF
19	Jacob Dylan Pratley, Mohammad Masbaul Alam Polash	Fraudulent Jobs Prediction Using Natural Language Processing and Deep Learning Sequential Models.	WISE	2023	DBLP DOI BibTeX RDF
19	Yen-Wen Lu, Cheng-Te Li	Fraudulent User Detection with Time-enhanced Graph Neural Networks on E-Commerce Platforms.	ICCE-Taiwan	2023	DBLP DOI BibTeX RDF
19	Angel Fiallos, Erika Anton	Towards Reliable App Marketplaces: Machine Learning-Based Detection of Fraudulent Reviews.	ICAI	2023	DBLP DOI BibTeX RDF
19	Shengbo Tong, Yuyang Xie, Shenghua Liu, Wenjian Yu, Jixuan Cai	W3Detector: Detecting Fraudulent Online Sellers Based on Temporal and Spacial Information.	ICMLA	2023	DBLP DOI BibTeX RDF
19	Silviu Gresoi, Stefan Alexandru Mocanu, Ioana Fagarasan, Grigore Stamatescu	Enhancing the detection of fraudulent activities in the distribution of energy through data mining algorithms.	CSCS	2023	DBLP DOI BibTeX RDF
19	Nurfazrina Mohd Zamry, Anazida Zainal, Eric Khoo, Mohamad Nizam Kassim, Zanariah Zainudin	Fraudulent E-Commerce Website Detection Using Convolutional Neural Network Based on Image Features.	DaSET	2023	DBLP DOI BibTeX RDF
19	Adnan Imeri, Thierry Grandjean, Oussema Gharsallaoui, Ismail Dinc, Djamel Khadraoui	Smart Contract Analyzer. A Tool for Detecting Fraudulent Token Contracts.	BLOCKCHAIN	2023	DBLP DOI BibTeX RDF
19	João Crisóstomo, Victor Sousa Lobo, Fernando Bação	Detecting Fraudulent Wallets in Ethereum Blockchain Combining Supervised and Unsupervised Techniques - Using Autoencoders and XGboost.	BLOCKCHAIN	2023	DBLP DOI BibTeX RDF
19	Aishat Salau, Nwojo Nnanna Agwu, Moussa Mahamat Boukar	A Review of Fraudulent Practices in Healthcare Insurance and Machine Learning-Based Investigation Approaches.	IISA	2023	DBLP DOI BibTeX RDF
19	Youssef Elmougy, Ling Liu 0001	Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics.	KDD	2023	DBLP DOI BibTeX RDF
19	Maohong Tian, Jian Liang, Dequan Zhang, Xintong Zhang, Zuo Wang, Hualin Li	Detection of Financial Fraudulent Activities with Machine Learning: A Case Study of Detecting Potential Tax and Invoice Fraud.	CSAI	2023	DBLP DOI BibTeX RDF
19	M. Mazhar Rathore, Sushil S. Chaurasia, Dhirendra Shukla, Anand Paul 0001	Detection of Fraudulent Entities in Ethereum Cryptocurrency: A Boosting-based Machine Learning Approach.	GLOBECOM	2023	DBLP DOI BibTeX RDF
19	Amogh Jalan, Aniket Gupta, Priyanka Meel	Comparing Results of Multiple Machine Learning Algorithms on a bilingual dataset for the Detection of Fraudulent News.	MECO	2023	DBLP DOI BibTeX RDF
19	Nagamani Molakatala, Undru Vimal Babu, Shalem Raju Tambala, M. Tejaswini, M. Teja Kiran, M. Tejo Seshadri, Venkateswara Sagar Juturi	Fraudulent Practice Detection in Bullion Trade in Selling of Gold Jewellery Through AI Methods.	IHCI (1)	2023	DBLP DOI BibTeX RDF
19	Marzieh Bitaab, Haehyun Cho, Adam Oest, Zhuoer Lyu, Wei Wang, Jorij Abraham, Ruoyu Wang 0001, Tiffany Bao, Yan Shoshitaishvili, Adam Doupé	Beyond Phish: Toward Detecting Fraudulent e-Commerce Websites at Scale.	SP	2023	DBLP DOI BibTeX RDF
19	Yurii Kryvenchuk, Alina Yamniuk	Predicting fraudulent card transactions using machine learning methods.	CSIT	2023	DBLP DOI BibTeX RDF
19	Yixin Tian, Yufei Zhang 0005, Fangshu Chen, Bingkun Wang, Jiahui Wang, Xiankai Meng	FAI: A Fraudulent Account Identification System.	CICAI (2)	2023	DBLP DOI BibTeX RDF
19	Wen Zhang 0001, Rui Xie, Qiang Wang 0030, Ye Yang, Jian Li	A novel approach for fraudulent reviewer detection based on weighted topic modelling and nearest neighbors with asymmetric Kullback-Leibler divergence.	Decis. Support Syst.	2022	DBLP DOI BibTeX RDF
19	Ram D. Gopal, Afrouz Hojati, Raymond A. Patterson	Analysis of third-party request structures to detect fraudulent websites.	Decis. Support Syst.	2022	DBLP DOI BibTeX RDF
19	Ajay Kumar, Ram D. Gopal, Ravi Shankar 0001, Kim Hua Tan	Fraudulent review detection model focusing on emotional expressions and explicit aspects: investigating the potential of feature engineering.	Decis. Support Syst.	2022	DBLP DOI BibTeX RDF
19	Farzaneh Rahmani, Changiz Valmohammadi, Kiamars Fathi	Detecting fraudulent transactions in banking cards using scale-free graphs.	Concurr. Comput. Pract. Exp.	2022	DBLP DOI BibTeX RDF
19	Sachiko Kanamori, Taeko Abe, Takuma Ito, Keita Emura, Lihua Wang 0001, Shuntaro Yamamoto, Le Trieu Phong, Kaien Abe, Sangwook Kim, Ryo Nojima, Seiichi Ozawa, Shiho Moriai	Privacy-Preserving Federated Learning for Detecting Fraudulent Financial Transactions in Japanese Banks.	J. Inf. Process.	2022	DBLP DOI BibTeX RDF
19	Irum Matloob, Shoab Ahmed Khan, Rukaiya, Muazzam Ali Khan Khattak, Arslan Munir	A Sequence Mining-Based Novel Architecture for Detecting Fraudulent Transactions in Healthcare Systems.	IEEE Access	2022	DBLP DOI BibTeX RDF
19	Jaewon Choi, Jaehyoun Kim, Ho Lee	Hybrid Fraud Detection Model: Detecting Fraudulent Information in the Healthcare Crowdfunding.	KSII Trans. Internet Inf. Syst.	2022	DBLP DOI BibTeX RDF
19	Deepti Sisodia, Dilip Singh Sisodia	Feature distillation and accumulated selection for automated fraudulent publisher classification from user click data of online advertising.	Data Technol. Appl.	2022	DBLP DOI BibTeX RDF
19	Daniel De Pascale, Giuseppe Cascavilla, Damian A. Tamburri, Willem-Jan van den Heuvel	Real-world K-Anonymity Applications: the \textsc{KGen} approach and its evaluation in Fraudulent Transactions.	CoRR	2022	DBLP DOI BibTeX RDF
19	Peyman Mohammadzadeh Germi, Mohsen Najarbashi	Detection of fraudulent financial papers by picking a collection of characteristics using optimization algorithms and classification techniques based on squirrels.	CoRR	2022	DBLP DOI BibTeX RDF
19	Deepti Sisodia, Dilip Singh Sisodia	Feature space transformation of user-clicks and deep transfer learning framework for fraudulent publisher detection in online advertising.	Appl. Soft Comput.	2022	DBLP DOI BibTeX RDF
19	Adam Coates 0003	Academic journals' usernames and the threat of fraudulent accounts on social media.	Learn. Publ.	2022	DBLP DOI BibTeX RDF
19	Aimi Aznan, Claudia Gonzalez Viejo, Alexis Pang, Sigfredo Fuentes	Rapid Detection of Fraudulent Rice Using Low-Cost Digital Sensing Devices and Machine Learning.	Sensors	2022	DBLP DOI BibTeX RDF
19	Seunghun Lee, Wafa Shafqat, Hyun-chul Kim	Backers Beware: Characteristics and Detection of Fraudulent Crowdfunding Campaigns.	Sensors	2022	DBLP DOI BibTeX RDF
19	Tanakorn Karode, Warodom Werapun	Robustness against fraudulent activities of a blockchain-based online review system.	Peer-to-Peer Netw. Appl.	2022	DBLP DOI BibTeX RDF
19	Debachudamani Prusti, Ranjan Kumar Behera, Santanu Kumar Rath	Hybridizing graph-based Gaussian mixture model with machine learning for classification of fraudulent transactions.	Comput. Intell.	2022	DBLP DOI BibTeX RDF
19	Bambang Leo Handoko, Eunice Shevlin Wiyardi, Jessica Stevanie Handoko	The Application of Beneish M-Score Method in Detecting Fraudulent Manipulation on Financial Statements (Case Study of Indonesian Government-State Owned Enterprise (SOE) Registered on Indonesian Stock Exchange 2016-2020.	ICEME	2022	DBLP DOI BibTeX RDF