Detection techniques of selective forwarding attacks in wireless sensor networks: a survey

TL;DR

This survey reviews various detection techniques for selective forwarding attacks in wireless sensor networks, highlighting the challenges and summarizing recent research efforts to identify malicious nodes that selectively drop packets.

Contribution

It provides a comprehensive overview and qualitative analysis of recent detection methods for selective forwarding attacks in wireless sensor networks.

Findings

Multiple detection techniques exist with varying effectiveness.

Identifying selective forwarding attacks remains challenging.

Recent research offers promising detection strategies.

Abstract

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 attacks on wireless sensor networks like black hole attack, sink hole attack, Sybil attack, selective forwarding attacks etc. in this paper we will concentrate on selective forwarding attacks In selective forwarding attacks, malicious nodes behave like normal nodes and selectively drop packets. The selection of dropping nodes may be random. Identifying such attacks is very difficult and sometimes impossible. In this paper we have listed up some detection techniques, which have been proposed by different researcher in recent years, there we also have tabular representation of qualitative analysis of detection techniques