基于Jaccard相似性的地理标记欺骗检测

Q3 Engineering
Shweta Koparde, Vanita Mane
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引用次数: 0

摘要

近年来,移动设备的位置评估已经发展成为社会运动的重要组成部分。同时,犯罪分子可能会干扰地理位置信息,他们可以为自己的方便而调整地理位置。因此,识别地理位置的真实性是很重要的。本文利用Jaccard相似度建立了一个基于即时通讯平台的地理标记欺骗图像检测系统。在模糊滤波器的帮助下,对输入图像和欺骗图像进行相机足迹提取,并通过Dice系数对其输出进行融合。对输入和被骗图像进行地理标记处理,利用谷本相似度融合相应的地理标记输入和地理标记的被骗图像。最后,将Dice Coefficient和Tanimoto相似度的融合图像用于欺骗检测过程,其中使用Dicerete余弦变换(DCT)对两幅图像进行Jaccard相似度比较。从而检测出欺骗图像,并通过准确性、假阳性率(False Positive Rate, FPR)和真阳性率(True Positive Rate, TPR)来衡量其有效性,得到相应的值分别为0.099、0.892和0.896。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geo-Tagged Spoofing Detection using Jaccard Similarity
In recent years, position evaluation of mobile devices has developed as an essential part of social movement. Meantime, the criminals may interfere with the information of geographical position (geo-position), and they can adjust the geo-position for their convenience. Therefore, it is important to identify the authenticity of geo-position. In this paper, an instant messaging platform-based geo-tagged spoof image detection system is created using Jaccard similarity. With the help of a Fuzzy filter, the input, as well as spoofing images, are subjected to camera footprint extraction, and their corresponding outputs are fused by Dice Coefficient. Moreover, the input as well as spoofed images is subjected to geotagged process, and their corresponding geotagged input, and geotagged spoofed images are fused by Tanimoto similarity. At last, the fused images from Dice Coefficient, and Tanimoto similarity are employed for the spoof detection process, where the Jaccard similarity compares the two images using Dicerete Cosine Transform (DCT). Consequently, the spoofed images are detected, and their effectiveness is measured in terms of accuracy, False Positive Rate (FPR), and True Positive Rate (TPR), as well as the corresponding values are attained like 0.099, 0.892, and 0.896 respectively.
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来源期刊
EAI Endorsed Transactions on Energy Web
EAI Endorsed Transactions on Energy Web Energy-Energy Engineering and Power Technology
CiteScore
2.60
自引率
0.00%
发文量
14
审稿时长
10 weeks
期刊介绍: With ICT pervading everyday objects and infrastructures, the ‘Future Internet’ is envisioned to undergo a radical transformation from how we know it today (a mere communication highway) into a vast hybrid network seamlessly integrating knowledge, people and machines into techno-social ecosystems whose behaviour transcends the boundaries of today’s engineering science. As the internet of things continues to grow, billions and trillions of data bytes need to be moved, stored and shared. The energy thus consumed and the climate impact of data centers are increasing dramatically, thereby becoming significant contributors to global warming and climate change. As reported recently, the combined electricity consumption of the world’s data centers has already exceeded that of some of the world''s top ten economies. In the ensuing process of integrating traditional and renewable energy, monitoring and managing various energy sources, and processing and transferring technological information through various channels, IT will undoubtedly play an ever-increasing and central role. Several technologies are currently racing to production to meet this challenge, from ‘smart dust’ to hybrid networks capable of controlling the emergence of dependable and reliable green and energy-efficient ecosystems – which we generically term the ‘energy web’ – calling for major paradigm shifts highly disruptive of the ways the energy sector functions today. The EAI Transactions on Energy Web are positioned at the forefront of these efforts and provide a forum for the most forward-looking, state-of-the-art research bringing together the cross section of IT and Energy communities. The journal will publish original works reporting on prominent advances that challenge traditional thinking.
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