scholarly journals An approach towards preventing iot based sybil attack based on contiki framework through cooja simulator

2018 ◽  
Vol 7 (2.8) ◽  
pp. 261
Author(s):  
Prateek Singhal ◽  
Puneet Sharma ◽  
Deepak Arora

In this paper we propagate the Sybil attack in WSN (Wireless sensor network), by the researchers many attacks have been recognized in WSN till now and there are many attacks which can attack over through internet, Internet of thing means all devices is interconnected to each other M2M over internet and can be attacked by any of the attacker on any devices. Sybil attack is the detrimental attack against sensor network where several counterfeit identities and legitimate identities are used to get prohibited pass in a network. This is major attack which results an information loss and misinterpretation in the network, and it also minimizes the routing disturbance, trustworthiness and dropping sensitivity packets into a network. In this instance node can trust the imaginary node and sharing of information starts, owed to this security of node is get affected and information is lost. In this paper, a survey of CONTIKI OS-2.7, stimulation tool COOJA and the Sybil attack and proposed the defense mechanisms and CAM (Compare and Match) approach to verify the Sybil attack position and prevent it. This Sybil attack can be stimulated on the stimulation tool COOJA which helps to identify the attacker position node, whereas these attacks outcome in uni-casting as well as multicasting and in this paper specifically given the secure security for Wireless sensor network.

Repositor ◽  
2020 ◽  
Vol 2 (8) ◽  
Author(s):  
Hawwin Purnama Akbar ◽  
Diah Risqiwati ◽  
Diah Risqiwati

Perkembangan ilmu pengetahuan pada bidang teknologi jaringan terjadi sangat cepat karena mengikuti perkembangan kebutuhan manusia. Salah satu teknologi jaringan yang saat ini menarik perhatian masyarakat adalah teknologi Wireless Sensor Network(WSN). WSN adalah jaringan dari kumpulan sensor yang terhubung menggunakan teknologi wireless secara ad-hoc dan setiap sensor node digunakan untuk proses pengumpulan data dan menghubungkan dengan node yang lain melalui jaringan wireless.Karena pada kebanyakan kasus aplikasi WSN digunakan pada lingkungan yang ekstrem dan sensor node harus dapat beroperasi secara otomatis tanpa campur tangan manusia, jaringan ini menjadi rentan akan beberapa ancaman jaringan dan dapat mempengaruhi performa dari jaringannya. Terdapat berbagai macam jenis serangan yang dapat membahayakan jaringan wireless sensor network diantaranya yang paling umum adalah sybil attack dan hello flood attack.            Dalam penelitian ini, penulis meneliti performa WSN saat diserang oleh Sybil attack dan hello flood attack dengan cara mengukur throughput, PDR(packet delivery ratio), jitter dan delay dalam jaringan WSN. Penelitian ini juga menganalisa jumlah node yang bervariasi dari 10 node sampai 30 node dengan waktu simulasi dari 10 detik sampai 30 detik lalu dianalisa jaringan ketika jaringan normal dan diserang oleh node penyerang yang bervariasi dari 1 sampai 3 penyerang. Dengan melakukan analisa tersebut, diperoleh data berupa perbandingan dampak serangan dari Sybil attack dan hello flood attack. Dampak dari sybil attack lebih berpengaruh pada parameter throughput dan pdr yang mengalami penurunan nilai hingga 69,9% untuk pdr dan 56,4% untuk throughput. Sedangkan dampak dari hello flood attack lebih berpengaruh pada parameter delay dan jitter yang mengalami kenaikandari nilai semula 0,05 detik menjadi 0,576 detikuntuk delay dan 0,579 detik untuk jitter.AbstractThe development of science in the field of network technology occurs very quickly because it follows the development of human needs. One of the network technology that is currently attracting public attention is wireless sensor network technology (WSN). WSN is a network of connected sensors using ad-hoc wireless technology and each node sensor are used to process data collection and connect with other nodes over a wireless network. Because in most cases WSN applications are used in extreme environments and node sensors must operate automatically without human intervention, these networks become vulnerable to some network threats and may affect the performance of their networks. There are various types of attacks that can harm wireless sensor network network among the most common is sybil attack and hello flood attack.             In this study, authors examined the performance of WSN when attacked by Sybil attack and hello flood attack by measuring throughput, PDR (packet delivery ratio), jitter and delay in WSN network. This study also analyzed the number of nodes that varied from 10 nodes to 30 nodes with simulated time from 10 seconds to 30 seconds and then analyzed the network when the network was normal and attacked by the attacking nodes that varied from 1 to 3 attackers. By doing the analysis, the datacan be obtained in the form of comparison of the impact of attacks from Sybil attack and hello flood attack. The impact of the sybil attack is more influential on the parameters of throughput and pdr which has decreased the maximum value up to 69.9% for pdr and 56.4% for throughput. While the impact of hello flood attack ismore influential on the delay and jitter parameters that increased from the original value of 0.05 seconds to 0.576 seconds for delay and 0.579 seconds for jitter. 


2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Udaya Suriya Raj Kumar Dhamodharan ◽  
Rajamani Vayanaperumal

Wireless sensor networks are highly indispensable for securing network protection. Highly critical attacks of various kinds have been documented in wireless sensor network till now by many researchers. The Sybil attack is a massive destructive attack against the sensor network where numerous genuine identities with forged identities are used for getting an illegal entry into a network. Discerning the Sybil attack, sinkhole, and wormhole attack while multicasting is a tremendous job in wireless sensor network. Basically a Sybil attack means a node which pretends its identity to other nodes. Communication to an illegal node results in data loss and becomes dangerous in the network. The existing method Random Password Comparison has only a scheme which just verifies the node identities by analyzing the neighbors. A survey was done on a Sybil attack with the objective of resolving this problem. The survey has proposed a combined CAM-PVM (compare and match-position verification method) with MAP (message authentication and passing) for detecting, eliminating, and eventually preventing the entry of Sybil nodes in the network. We propose a scheme of assuring security for wireless sensor network, to deal with attacks of these kinds in unicasting and multicasting.


2009 ◽  
Vol 29 (6) ◽  
pp. 1628-1631 ◽  
Author(s):  
Xiu-li REN ◽  
Wei YANG ◽  
Jian-sheng XUE ◽  
Gui-xing LUAN

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Hongbin Wang ◽  
Liping Feng

This paper studies the security location mechanism of the sensor network node under the attack of Sybil and analyzes the safe attacks which are possibly accepted and safe requirement in the location system. Since RSSI (Received Signal Strength Indicator) possesses the energy transmission function, different transmission energy will cause it to produce different RSSI readings. Furthermore, this kind of method cannot increase the burden on Wireless Sensor Network (WSN). It conducts an analysis between two receiving nodes, compares RSSI ratios to tickle the problem of time inconsistency of RSSI, and sets a threshold to detect Sybil by the emulation results. Research shows that the ratio value of different receiving nodes by using RSSI can resolve time difference because of the RSSI or unreliability which results from the asymmetry of transmission ratio. The thesis makes a comparison that the number of receiving nodes has an influence on attack effect. Utilizing the RSSI ratio values can exactly detect the Sybil attack. Emulation findings demonstrate that the detection method put forward by the thesis owns better security.


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