Results 21 to 30 of about 2,797,859 (274)

Data Falsification Attack Detection Method Based on Anti-counterfeiting Code Identification Mechanism [PDF]

Jisuanji gongcheng, 2016
In the Cognitive Radio Network(CRN),Malicious User(MU) can transmit false information to the fusion center,causing the fusion center to make a false decision that the Primary User(PU) is present.In order to solve this problem,a cooperative spectrum ...
LI Xinbin,ZHANG Zi,HAN Song,YAN Lei
doaj   +1 more source

Refined analysis and a hierarchical multi-task learning approach for loan fraud detection

Journal of Management Science and Engineering, 2022
Fraud problems in loan application assessment cause significant losses for finance companies worldwide, and much research has focused on machine learning methods to improve the efficacy of fraud detection in some financial domains.
Liao Chen, Ning Jia, Hongke Zhao, Yanzhe Kang, Jiang Deng, Shoufeng Ma   +5 more
doaj   +1 more source

Deep Learning Methods to Detect Image Falsification

Applied Sciences, 2023
The accessibility and advancement of digital image editing tools have enabled individuals to manipulate and create realistic images without a real basis, leading to novel forms of creative expression and new professions. However, this also raises concerns over the malicious use of these technologies in spreading disinformation and fabricated evidence ...
Janutėnas, Laimonas, Janutėnaitė-Bogdanienė, Jūratė, Šešok, Dmitrij   +2 more
openaire   +2 more sources

Efficient Ordered-Transmission Based Distributed Detection under Data Falsification Attacks [PDF]

, 2022
In distributed detection systems, energy-efficient ordered transmission (EEOT) schemes are able to reduce the number of transmissions required to make a final decision.
Varshney, Pramod K., Sriranga, Nandan, Geng, Baocheng, Han, Yunghsiang S., Quan, Chen, Yang, Haodong   +5 more
core   +1 more source

Ensemble Learning Based Malicious Node Detection in SDN-Based VANETs

Journal of Information Systems Engineering and Business Intelligence, 2023
Background: The architecture of Software Defined Networking (SDN) integrated with Vehicular Ad-hoc Networks (VANETs) is considered a practical method for handling large-scale, dynamic, heterogeneous vehicular networks, since it offers flexibility ...
Kunal Vermani, Amandeep Noliya, Sunil Kumar, Kamlesh Dutta   +3 more
doaj   +1 more source

Access Control and File Distribution Management for Electronic Diploma and Transcript using Ethereum Smart Contract and InterPlanetary File System

Jurnal Sistem Informasi, 2021
This reserach build access control and file distribution management system for electronic diploma and transcript using ethereum smart contract and InterPlanetary File System (IPFS).
Muhammad Danil Muis, Muhammad Rifki Fauzan, Parman Sukarno, Aulia Arif Wardana   +3 more
doaj   +3 more sources

Detection of honey falsification with an admixture of sodium bicarbonate using the bromothymol blue indicator

Theoretical and Applied Veterinary Medicine, 2021
A method for detecting honey falsification with sodium bicarbonate, added deliberately to reduce the mass fraction of water in honey, increase its density and consistency, eliminate signs of fermentation and reduce contamination by microorganisms, has ...
I. V. Yatsenko, I. M. Lotskin, N. M. Bogatko, V. O. Yevstafyeva, M. G. Mazanna, М. О. Dehtiarov   +5 more
doaj   +1 more source

Adaptive Trust Threshold Model Based on Reinforcement Learning in Cooperative Spectrum Sensing

Sensors, 2023
In cognitive radio systems, cooperative spectrum sensing (CSS) can effectively improve the sensing performance of the system. At the same time, it also provides opportunities for malicious users (MUs) to launch spectrum-sensing data falsification (SSDF ...
Gang Xie, Xincheng Zhou, Jinchun Gao
doaj   +1 more source

Consensus based Detection in the Presence of Data Falsification Attacks

CoRR, 2015
This paper considers the problem of detection in distributed networks in the presence of data falsification (Byzantine) attacks. Detection approaches considered in the paper are based on fully distributed consensus algorithms, where all of the nodes exchange information only with their neighbors in the absence of a fusion center.
Bhavya Kailkhura, Swastik Brahma, Pramod K. Varshney   +2 more
openaire   +3 more sources

Research on Grape and Fruit and Berry Wines and Detection of their Falsification

Theory and Practice of Forensic Science and Criminalistics, 2022
Grape and fruit and berry wines were studied in order to detect signs of their falsification by adding synthetic dyes. It is noted that in the process of analysis (examination) of unknown  liquids provided for research, specialists must first of all establish the nature of such objects. It is possible to find out only after identifying the spectrum of
Olha Pashkova, Jose Manuel Colodras, Olha Bui, Alla Klimchuk   +3 more
openaire   +1 more source