scholarly journals 3-D Terrain Node Coverage of Wireless Sensor Network Using Enhanced Black Hole Algorithm

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2411 ◽  
Author(s):  
Jeng-Shyang Pan ◽  
Qing-Wei Chai ◽  
Shu-Chuan Chu ◽  
Ning Wu
Keyword(s):  
Black Hole ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Role Models ◽  
Wireless Sensor ◽  
Intelligent Computing ◽  
Satisfactory Performance ◽  
Coverage Problems ◽  
Test Suit ◽  
Black Hole Algorithm

In this paper, a new intelligent computing algorithm named Enhanced Black Hole (EBH) is proposed to which the mutation operation and weight factor are applied. In EBH, several elites are taken as role models instead of only one in the original Black Hole (BH) algorithm. The performance of the EBH algorithm is verified by the CEC 2013 test suit, and shows better results than the original BH. In addition, the EBH and other celebrated algorithms can be used to solve node coverage problems of Wireless Sensor Network (WSN) in 3-D terrain with satisfactory performance.

Performance Analysis on LEACH Protocol in Wireless Sensor Network (WSN) Under Black Hole Attack

2018 ◽  
Vol 24 (3) ◽  
pp. 1791-1794 ◽  
Author(s):  
Khairul Akram Zainol Ariffin ◽  
Rozita Mohd Mokhtar ◽  
Abdul Hadi Abd Rahman
Keyword(s):  
Black Hole ◽  
Wireless Sensor Network ◽  
Performance Analysis ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Black Hole Attack ◽  
Leach Protocol

Secure Communication Techniques for Underwater WSNs

2021 ◽  
pp. 171-186
Author(s):  
Esha Rani ◽  
Vikas Juneja
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Secure Communication ◽  
Advanced Technology ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Harsh Environment ◽  
Intelligent Computing ◽  
Communication Techniques ◽  
Rocky Planets

Earth is solitary among the rocky planets revolving in the solar system. It is the only planet that is 3/4 covered with oceans of liquid water. In today's era, wireless sensor network is used in almost places and also is an interesting topic for researchers too. But with the advancement in technology, a network similar to wireless sensor network can be deployed under the water with acoustic signals for data transmission. Because of harsh environment and some more challenges, underwater communication becomes tricky. Underwater wireless sensor networks (UWSNs) is an advanced technology for underwater explorations and have demonstrated their quality in underwater applications. UWSN is a blend of wireless technology with sensor technology that has some extraordinary features like smart sensing, intelligent computing, and communication capabilities. Further, to maintain the secure communication underwater, it becomes more and more tricky. This chapter presents an expansive analysis of challenges, attacks, and security techniques of UWSNs.

Empowered AODV Protocol in Wireless Sensor Network using Three Variable RSA Cryptosystem

2020 ◽  
Vol 13 (4) ◽  
pp. 718-724
Author(s):  
Amit K. Agarwal ◽  
Munesh Chandra ◽  
S.S. Sarangdevot
Keyword(s):  
Black Hole ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Secure Communication ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Rsa Cryptosystem ◽  
Simulation Results ◽  
Aodv Routing Protocol

Background: The Wireless Sensor Network (WSN) is a type of networks which primarily designed for the purpose of monitoring in remote areas. It consists of communicating nodes (called sensor's) which communicate each other to share their data and passing the information to the central node. In many applications like defence requires the secure communication of information. However, due to the numerous characteristics of WSN such as open shared communication channel, limited memory, and processing power of sensors, etc. these networks are vulnerable to various attacks such as black hole, gray hole, etc. Objective: The objective of the paper is to secure the AODV routing protocol in WSN using cryptography techniques. Methods: In this paper, the Ad hoc On-demand Distance Vector (AODV) routing protocol has been chosen for information routing because of their lightweight processing capability. To provide secure communication in WSN, the AODV routing protocol is secured by utilizing the RSA key generation algorithm. Here, RSA with three variables (three prime numbers) is employed instead of two variables. Results: The effectiveness of the proposed approach in handling black hole attack is being verified through the simulation results obtained from the experiments conducted using Network Simulator tool (NS2). The three popular performance metrics namely Average End-to-End Delay, Packet Delivery Ratio, and Average Throughput are used for evaluation purpose. These results are observed under different pose time and varying number of malicious nodes. Conclusion: In this paper, a new three variable RSA cryptosystem-based security model is proposed to protect the communication against the Black Hole (BH) attack in wireless sensor networks. The use of three variables instead of two variables allows our model to provide more security as compared to other methods. Simulation results obtained from the experiments carried out using NS2 tool evident the performance of the proposed model over original AODV and other previous models.

Impact of selective forwarding attack on AODV protocol in mobile wireless senor networks

2018 ◽  
Vol 7 (2.4) ◽  
pp. 157
Author(s):  
Harkesh Sehrawat ◽  
Yudhvir Singh ◽  
Vikas Siwach
Keyword(s):  
Black Hole ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Performance Parameters ◽  
Malicious Nodes ◽  
Mobile Wireless ◽  
Selective Forwarding ◽  
Aodv Protocol ◽  
Entire Network

wireless sensor network is the growing field of research having capacity to help the mankind with its usage in varied areas like military surveillance, medical etc. However these networks are vulnerable to certain attacks like black hole, wormhole and selective forwarding. In this paper selective forwarding attack is analyzed on varying number of attacker nodes and its impact on different performance parameters. It is concluded that the performance of the entire network is degraded with the increase in the number of malicious nodes.  

scholarly journals Preventing Black Hole Attack in Wireless Sensor Network Using HMM

2019 ◽  
Vol 148 ◽  
pp. 552-561 ◽  
Author(s):  
Hanane Kalkha ◽  
Hassan Satori ◽  
Khalid Satori
Keyword(s):  
Black Hole ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Black Hole Attack
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