Securing Data from Black Hole Attack Using AODV Routing for Mobile Ad Hoc Networks

Kamatchi, V; Mukesh, Rajeswari; Rajakumar,

doi:10.1007/978-3-642-31552-7_38

Cited by 6 publications

(4 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In literature many black hole detection and/or elimination schemes have been presented. Authors in [12] presented an approach based on multi-path packet sending. In this approach, packets are divided to some sub-packets and then each sub-packet is sent through a random path to the destination.…”

Section: Related Workmentioning

confidence: 99%

DEBH: detecting and eliminating black holes in mobile ad hoc network

2017

View full text Add to dashboard Cite

Security in Mobile Ad hoc Network (MANET) is one of the key challenges due to its special features e.g.hop-by-hop communications, dynamic topology, and open network boundary that received tremendous attention by scholars. Traditional security methods are not applicable in MANET due to its special properties. In this paper, a novel approach called Detecting and Eliminating Black Holes (DEBH) is proposed that uses a data control packet and an additional Black hole Check (BCh) table for detecting and eliminating malicious nodes. Benefiting from trustable nodes, the processing overhead of the security method decreases by passing time. Ad hoc On-demand Distance Vector (AODV) routing protocol is used as the routing protocol in our design. After finding the freshest path using AODV, our design checks the safety of selected path. In case of detecting any malicious node, it is isolated from the entire network by broadcasting a packet that contains the ID of malicious nodes. Simulation results show that DEBH increases network throughput and decreases packet overhead and delay in comparison with other studied approaches.Moreover, DEBH is able to detect all active malicious nodes which generates fault routing information.

show abstract

Section: Related Workmentioning

confidence: 99%

DEBH: detecting and eliminating black holes in mobile ad hoc network

2017

View full text Add to dashboard Cite

show abstract

“…In the first scenario, we evaluate the effectiveness of ECPDR against black hole attack ( Kamatchi et al, 2013) on reactive routing AODV using the simulator Ns-2 (Information Sciences Institute, 2007) configured with the standard IEEE 802.11 (11 Mbps and 2 Mbps were used to transmit unicast and broadcast traffic, respectively). We generated a number of random topologies with N nodes on a square field, where N is between 30 to 80 square field size varies of 600x600m to 1500x1500m depending on the size of ADSocial.…”

Section: Scenariomentioning

confidence: 99%

Ecpdr

Ferrag

Nafa

Ghanemi

2013

International Journal of Embedded and Real-Time Communication Systems

View full text Add to dashboard Cite

The recent rise and widespread adoption of wireless networked embedded systems for mobile communication applications has sparked numerous visions of an ever more networked and interactive world. One such vision proposed in the past years are wireless ad hoc social networks, where wireless ad hoc communication and mobile devices are combined with integrated social characteristics to exchange data related games, rumors, and interesting information. However, they are still faces many challenges including routing security and privacy preservation. In this paper, the authors propose an Efficient Conditional Privacy preservation scheme with Demand Response, called ECPDR, for implement an effective information security, and achieving privacy preservation of message transmitted over wireless ad hoc social networks. They choose Ad hoc On demand Distance Vector (AODV) as a reactive routing protocol. This routing protocol has been extended to include the necessary parameters to perform the cryptographic operations at the nodes. Based on the cooperative neighbor and the short signatures technique, the proposed ECPDR scheme can not only detect and avoid but also can preserves the message privacy against elemental attacks and compound attacks. Extensive analyses and experiments are given to demonstrate its high detection rate and practicability under various scenarios.

show abstract

“…Besides, the suspected node blocks the transfer of packets to the target node. Typically, the block-hole node enters in AODV protocol by defining itself as a genuine route for the target to initiate the acceptance of packets from the genuine nodes and rejects the packets having the valued data [8][9]. Likewise, the gray-hole node forwards the data comparable to the typical nodes.…”

Section: Introductionmentioning

confidence: 99%

Protecting MANETs from Black and Gray Hole Attacks Through a Detailed Detection System

2022

IJIES

View full text Add to dashboard Cite

In mobile ad-hoc network (MANET), identification and mitigation of black and gray-hole attacks is a challenging task compared to the detection of other attacks. To solve this issue, a secure route discovery ad-hoc ondemand distance vector (SRD-AODV) protocol has been suggested, which verifies the nodes only during the path discovery. But, it is necessary to authenticate the nodes during data transmission since the gray-hole nodes broadcast an accurate target sequence number (TSN) during the route discovery, whereas it becomes malicious and drops the packets during the data forwarding. Hence in this article, a secure route maintenance and attack detection AODV (SRMAD-AODV) protocol is proposed for identifying and defending the black and gray-hole attacks in the data transfer stage. Initially, an attack discovery system (ADS) node is decided from the connected dominating set (CDS) method based on energy and confidence score. The CDS is a robust, distinct and localized method to identify nearby linked dominating sets of nodes in a limited range in MANETs. The selected ADS nodes forward a status packet within the size of the dominating set to retrieve the entire behavioral data. ADS nodes examine gathered behavioral data and create a blacklist in which the suspected black and gray-hole nodes are added. Then, the blacklist is forwarded to the origin node to confirm the susceptibility of nodes present in the blacklist. Once the origin node authenticates the blacklist, it broadcasts a block message to all other nodes in a path for discarding blacklist nodes from the routing path. Further, this SRMAD-AODV protocol is simulated and the findings exhibit that it realizes 5.2sec of end-to-end delay (EED) and 86 % of packet delivery ratio (PDR) in contrast to the SRD-AODV protocol.

show abstract

Securing Data from Black Hole Attack Using AODV Routing for Mobile Ad Hoc Networks

Cited by 6 publications

References 3 publications

DEBH: detecting and eliminating black holes in mobile ad hoc network

DEBH: detecting and eliminating black holes in mobile ad hoc network

Ecpdr

Protecting MANETs from Black and Gray Hole Attacks Through a Detailed Detection System

Contact Info

Product

Resources

About