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Wireless networks are vulnerable to Sybil attacks, in which a malicious node poses as many identities in order to gain disproportionate influence. Many defenses based on spatial variability of wireless channels exist, but depend either on…

密码学与安全 · 计算机科学 2014-03-25 Yue Liu , David R. Bild , Robert P. Dick , Z. Morley Mao , Dan S. Wallach

Internet of things (IoT) connects all items to the Internet through information-sensing devices to exchange information for intelligent identification and management. Sybil attack is a famous and crippling attack in IoT. Most of the…

密码学与安全 · 计算机科学 2022-04-26 Manli Yuan , Liwei Lin , Zhengyu Wu , Xiucai Ye

Sybil attacks are a fundamental threat to the security of distributed systems. Recently, there has been a growing interest in leveraging social networks to mitigate Sybil attacks. However, the existing approaches suffer from one or more…

密码学与安全 · 计算机科学 2016-11-17 Neil Zhenqiang Gong , Mario Frank , Prateek Mittal

In wireless systems, neighbor discovery (ND) is a fundamental building block: determining which devices are within direct radio communication is an enabler for networking protocols and a wide range of applications. To thwart abuse of ND and…

密码学与安全 · 计算机科学 2009-01-05 Marcin Poturalski , Panos Papadimitratos , Jean-Pierre Hubaux

The wireless sensor network has become a hot research area due its wide range of application in military and civilian domain, but as it uses wireless media for communication these are easily prone to security attacks. There are number of…

密码学与安全 · 计算机科学 2015-06-05 Preeti Sharma , Monika Saluja , Krishan Kumar Saluja

Wireless communication enables a broad spectrum of applications, ranging from commodity to tactical systems. Neighbor discovery (ND), that is, determining which devices are within direct radio communication, is a building block of network…

密码学与安全 · 计算机科学 2009-01-05 Marcin Poturalski , Panos Papadimitratos , Jean-Pierre Hubaux

Sybil attacks are becoming increasingly widespread and pose a significant threat to online social systems; a single adversary can inject multiple colluding identities in the system to compromise security and privacy. Recent works have…

密码学与安全 · 计算机科学 2018-06-08 Peng Gao , Binghui Wang , Neil Zhenqiang Gong , Sanjeev R. Kulkarni , Kurt Thomas , Prateek Mittal

Detecting fake users (also called Sybils) in online social networks is a basic security research problem. State-of-the-art approaches rely on a large amount of manually labeled users as a training set. These approaches suffer from three key…

密码学与安全 · 计算机科学 2018-06-14 Binghui Wang , Le Zhang , Neil Zhenqiang Gong

Anomaly detection is a method for discovering unusual and suspicious behavior. In many real-world scenarios, the examined events can be directly linked to the actions of an adversary, such as attacks on computer networks or frauds in…

We investigate the problem of sybil (fake account) detection in social networks from a graph algorithms perspective, where graph structural information is used to classify users as sybil and benign. We introduce the novel notion of user…

社会与信息网络 · 计算机科学 2025-01-29 Ali Safarpoor Dehkordi , Ahad N. Zehmakan

Being a volunteer-run, distributed anonymity network, Tor is vulnerable to Sybil attacks. Little is known about real-world Sybils in the Tor network, and we lack practical tools and methods to expose Sybil attacks. In this work, we develop…

密码学与安全 · 计算机科学 2016-02-26 Philipp Winter , Roya Ensafi , Karsten Loesing , Nick Feamster

Wireless Sensor Network (WSN) consists of large number of low-cost, resource-constrained sensor nodes. The constraints of the wireless sensor node is their characteristics which include low memory, low computation power, they are deployed…

密码学与安全 · 计算机科学 2015-05-13 George W. Kibirige , Camilius Sanga

Traditionally, wireless network protocols have been designed for performance. Subsequently, as attacks have been identified, patches have been developed. This has resulted in an "arms race" development process of discovering vulnerabilities…

网络与互联网体系结构 · 计算机科学 2013-09-12 Jonathan Ponniah , Yih-Chun Hu , P. R. Kumar

Many distributed systems are subject to the Sybil attack, where an adversary subverts system operation by emulating behavior of multiple distinct nodes. Most recent work to address this problem leverages social networks to establish trust…

网络与互联网体系结构 · 计算机科学 2012-01-16 Frank Li , Prateek Mittal , Matthew Caesar , Nikita Borisov

Sybil attacks are becoming increasingly widespread, and pose a significant threat to online social systems; a single adversary can inject multiple colluding identities in the system to compromise security and privacy. Recent works have…

社会与信息网络 · 计算机科学 2018-03-29 Peng Gao , Neil Zhenqiang Gong , Sanjeev Kulkarni , Kurt Thomas , Prateek Mittal

Any decentralised distributed network is particularly vulnerable to the Sybil attack wherein a malicious node masquerades as several different nodes, called Sybil nodes, simultaneously in an attempt to disrupt the proper functioning of the…

密码学与安全 · 计算机科学 2012-07-12 Nitish Balachandran , Sugata Sanyal

With the tremendous advances of the wireless devices technology, securing wireless sensor networks became more and more a vital but also a challenging task. In this paper we propose an integrated strategy that is meant to discover malicious…

网络与互联网体系结构 · 计算机科学 2018-08-06 Madalin Plastoi , Ovidiu Banias , Daniel-Ioan Curiac , Constantin Volosencu , Roxana Tudoroiu , Alexa Doboli

Wireless Sensor networks (WSN) is an emerging technology and have great potential to be employed in critical situations like battlefields and commercial applications such as building, traffic surveillance, habitat monitoring and smart homes…

密码学与安全 · 计算机科学 2009-09-04 Dr. G. Padmavathi , Mrs. D. Shanmugapriya

Determining whether nodes can be localized, called localizability detection, is essential for wireless sensor networks (WSNs). This step is required for localizing nodes, achieving low-cost deployments, and identifying prerequisites in…

信号处理 · 电气工程与系统科学 2018-12-31 Hejun Wu , Ao Ding , Lvzhou Li

In many online domains, Sybil networks -- or cases where a single user assumes multiple identities -- is a pervasive feature. This complicates experiments, as off-the-shelf regression estimators at least assume known network topologies (if…

统计方法学 · 统计学 2024-09-09 Nihar Shah
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