A framework for detecting injected influence attacks on microblog websites using change detection techniques

Q1 Economics, Econometrics and Finance

Development Engineering Pub Date : 2018-01-01 DOI:10.1016/j.deveng.2018.08.002

Vishnu S. Pendyala, Yuhong Liu, Silvia M. Figueira

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引用次数: 6

Abstract

Presidential elections can impact world peace, global economics, and overall well-being. Recent news indicates that fraud on the Web has played a substantial role in elections, particularly in developing countries in South America and the public discourse, in general. To protect the trustworthiness of the Web, in this paper, we present a novel framework using statistical techniques to help detect veiled Web fraud attacks in Online Social Networks (OSN). Specific examples are used to demonstrate how some statistical techniques, such as the Kalman Filter and the modified CUSUM, can be applied to detect various attack scenarios. A hybrid data set, consisting of both real user tweets collected from Twitter and simulated fake tweets is constructed for testing purposes. The efficacy of the proposed framework has been verified by computing metrics, such as Precision, Recall, and Area Under the ROC curve. The algorithms achieved up to 99.9% accuracy in some scenarios and are over 80% accurate for most of the other scenarios.

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基于变化检测技术的微博网站注入影响攻击检测框架

总统选举可以影响世界和平、全球经济和整体福祉。最近的新闻表明，网络欺诈在选举中扮演了重要角色，尤其是在南美的发展中国家和公共话语中。为了保护Web的可信度，在本文中，我们提出了一个使用统计技术来帮助检测在线社交网络(OSN)中隐藏的Web欺诈攻击的新框架。具体的例子用来演示如何一些统计技术，如卡尔曼滤波和改进的CUSUM，可以应用于检测各种攻击场景。为了测试目的，构建了一个混合数据集，其中包括从Twitter收集的真实用户tweet和模拟的假tweet。通过计算精度、召回率和ROC曲线下面积等指标，验证了该框架的有效性。这些算法在某些场景下的准确率高达99.9%，在大多数其他场景下的准确率超过80%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Development Engineering Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)

CiteScore

4.90

自引率

0.00%

发文量

审稿时长

31 weeks

期刊介绍： Development Engineering: The Journal of Engineering in Economic Development (Dev Eng) is an open access, interdisciplinary journal applying engineering and economic research to the problems of poverty. Published studies must present novel research motivated by a specific global development problem. The journal serves as a bridge between engineers, economists, and other scientists involved in research on human, social, and economic development. Specific topics include: • Engineering research in response to unique constraints imposed by poverty. • Assessment of pro-poor technology solutions, including field performance, consumer adoption, and end-user impacts. • Novel technologies or tools for measuring behavioral, economic, and social outcomes in low-resource settings. • Hypothesis-generating research that explores technology markets and the role of innovation in economic development. • Lessons from the field, especially null results from field trials and technical failure analyses. • Rigorous analysis of existing development "solutions" through an engineering or economic lens. Although the journal focuses on quantitative, scientific approaches, it is intended to be suitable for a wider audience of development practitioners and policy makers, with evidence that can be used to improve decision-making. It also will be useful for engineering and applied economics faculty who conduct research or teach in "technology for development."