Investigating the impact of black-hole attack on hierarchical protocols and direct transmission in WSN

Fihri, Mohammed; Youssef, El Fatimi; Hnini, Abedelhalim; Ezzati, Abdellah

doi:10.1145/2896387.2900330

Cited by 3 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In a wormhole attack [10], an attacker receives packets at one location in the network, tunnels them to a remote location in the network, and then replays them into the network from that location. A wormhole attack can be easily executed against routing in sensor networks because it does not need to physically compromise any sensor node.…”

Section: Introductionmentioning

confidence: 99%

Attacks and Secure Geographic Routing In Wireless Sensor Networks

Sabri

Kamoun

2017

IJEECS

View full text Add to dashboard Cite

Due to open network nature of wireless sensor networks make them highly vulnerable to a variety of security attacks and easy target for adversaries, which may capture these nodes, analyze and easily insert fake route information. Wireless sensor network is an emerging, cost effective and unsupervised solution for collecting this information from the physical world and sending this information back to centralized authority for further processing. GRPW (Geographic Routing in connected wireless sensor networks based on Multiple Sinks) is one of the basic routing protocols used for Supporting Mobile Sinks in Wireless Sensor Networks . GRPW , a geographical routing protocol for wireless sensor networks , is based on an architecture partitioned by logical levels, on the other hand based on a multipoint relaying flooding technique to reduce the number of topology broadcast. GRPW-MuS uses periodic HELLO packets to neighbor detection. As introduced in Reference [1, 2], the wormhole attack can form a serious threat in wireless sensor networks, especially against many wireless sensor networks routing protocols and location-based wireless security systems.Here, a trust model to handle this attack in GRPW is provided called GRPW-MuS-s . Using OMNET++ simulation and the MiXiM framework, results show that GRPW-MuS-s protocol only has very small false positives for wormhole detection during the neighbor discovery process (less than GRPW). The average energy usage at each node for GRPW-MuS-s protocol during the neighbor discovery and route discovery is very low than GRPW-MuS, which is much lower than the available energy at each node. The cost analysis shows that GRPW-MuS-s protocol only needs small memory usage at each node , which is suitable for the sensor network.

show abstract

Section: Introductionmentioning

confidence: 99%

Attacks and Secure Geographic Routing In Wireless Sensor Networks

Sabri

Kamoun

2017

IJEECS

View full text Add to dashboard Cite

show abstract

“…False Report Injection attacks can exhaust all the energy of the all nodes in repetitive attacks. This problem reduces the networks lifetime or disables the networks [10][11][12]. In addition, The BS informs the user of the wrong information and causes confusion and time loss.…”

Section: Introductionmentioning

confidence: 99%

Prevention Method of False Report Generation in Cluser Heads for Dynamic En-Route Filtering of Wireless Sensor Networks

Ahn¹,

Cho²

2017

IJCSIT

View full text Add to dashboard Cite

Wireless sensor networks collect data through collaborative communication between sensor nodes. sensor nodes of wireless sensor networks are deployed in open environments. Hence, an attacker can easily compromise the node. An attacker can compromise a node to generate false reports and inject into the network. This causes unnecessary energy consumption in the process of transmitting false alarm messages and false data reports to the system. If the attacker keeps repeatedly attacking thereby causing problems such as reduction in the entire network life or disabling the networks. Yu and Guan proposed a dynamic en-route filtering scheme to detect and drop these false reports before reaching to the Base station. In the dynamic en-route filtering, the energy waste of the intermediate nodes occurs until it is detected early. In this paper, we propose a method to save the energy of the intermediate nodes by searching for the compromised node and blocking the reports generated at that node. When verifying a false report at the verification node, it can know report information. The base station is able to find the cluster of compromised nodes using that information. In particular, the base station can know the location of the node that has been compromised, we can block false alarms and energy losses by blocking reports generated in that cluster.

show abstract

“…A wormhole is a tunnel which connects two remote nodes. In a wormhole attack [16], an attacker receives packets at one location in the network, tunnels them to a remote location in the network, and then replays them into the network from that location. A wormhole attack can be easily executed against routing in sensor networks because it does not need to physically compromise any sensor node.…”

Section: Introductionmentioning

confidence: 99%

GRPW-MuS-s: A Secure Enhanced Trust Aware Routing against Wormhole Attacks in Wireless Sensor Networks

Sabri¹,

El²

2016

CAE

View full text Add to dashboard Cite

GRPW-MuS (Geographic Routing to Multiple Sinks in connected wireless sensor networks based on Multiple Sinks) is one of the basic routing protocols used for Supporting Mobile Sinks in Wireless Sensor Networks . GRPW-MuS, a geographical routing protocol for wireless sensor networks , is based on an architecture partitioned by logical levels, on the other hand based on a multipoint relaying flooding technique to reduce the number of topology broadcast. GRPW-MuS uses periodic HELLO packets to neighbor detection. As introduced in Reference [9,17], the wormhole attack can form a serious threat in wireless sensor networks, especially against many wireless sensor networks routing protocols and location-based wireless security systems. Here, a trust model to handle this attack in GRPW-MuS is provided called GRPW-MuS-s . Using OMNET++ simulation and the MiXiM framework, results show that GRPW-MuS-s protocol only has very small false positives for wormhole detection during the neighbor discovery process (less than GRPW-MuS). The average energy usage at each node for GRPW-MuS-s protocol during the neighbor discovery and route discovery is very low than GRPW-MuS, which is much lower than the available energy at each node. The cost analysis shows that GRPW-MuS-s protocol only needs small memory usage at each node , which is suitable for the sensor network.

show abstract

Investigating the impact of black-hole attack on hierarchical protocols and direct transmission in WSN

Cited by 3 publications

References 7 publications

Attacks and Secure Geographic Routing In Wireless Sensor Networks

Attacks and Secure Geographic Routing In Wireless Sensor Networks

Prevention Method of False Report Generation in Cluser Heads for Dynamic En-Route Filtering of Wireless Sensor Networks

GRPW-MuS-s: A Secure Enhanced Trust Aware Routing against Wormhole Attacks in Wireless Sensor Networks

Contact Info

Product

Resources

About