社交网络健壮的Sybil攻击检测机制-调查

M. Valarmathi, A. Meenakowshalya, A. Bharathi
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引用次数: 7

摘要

如今,推荐系统(RS)已经在物联网(IoT)、在线社交网络(OSN)和社交物联网(SIoT)中占据主导地位。“Sybil攻击”是恶意用户通过创建虚假身份“Sybil”来压制诚实用户意见的攻击。Sybil攻击普遍存在于无线传感器网络、在线社交网络、点对点网络和移动网络中。本文综述了基于攻击者行为的各种类型的Sybil攻击。本文还研究了目前防范Sybil攻击的不同类型的Sybil防御协议,如SybilGuard、SybilLimit、SybilDefender、SybilInfer、SybilShield和SyMon。
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Robust Sybil attack detection mechanism for Social Networks - a survey
Now a day's Recommender Systems (RS) have become predominant in Internet of Things (IoT), Online Social Networks (OSN) and Social Internet of Things (SIoT). Sybil attack is an attack where malicious users suppress opinions of honest users by creating fake identities called Sybils. Sybil attacks are prevalent in wireless sensor networks, online social networks, Peer to Peer networks and mobile networks. In this paper survey various types of Sybil attacks which are based on behavior of attacker. This paper also surveys different types of current Sybil defense protocols like SybilGuard, SybilLimit, SybilDefender, SybilInfer, SybilShield, and SyMon to defend against the Sybil attack.
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