scholarly journals A New Hybrid Cryptography Technique in Wireless Sensor Network

The wireless sensor network is a large number of tiny nodes installed in insecure environment for monitoring, gathering and transferring data and are prone to security threats for its limited resources. In order to transmit the data and to protect from different attacks in the network, security is maintained. To achieve confidentiality, authenticity and authorization of data which secure the data from different attacks cryptographic algorithm were used. The number of keys used in the cryptographic algorithm determines the security of the data. Cryptographic algorithms are broadly classified into two types symmetric cryptography and asymmetric cryptography. In the symmetric key cryptographic algorithm, a secret key is shared in the network and in asymmetric key cryptographic algorithm two keys are used for data security. In wireless sensor network, symmetric key cryptography required more storage to store the key among all the nodes of the network and in asymmetric key cryptography more computation time is require for the data encryption and decryption. To avoid memory and computation overhead we proposed a hybrid cryptosystem to handle the security in the wireless sensor network. Initially shared key is exchanged among nodes using ECC which is a public key algorithm. Data is encrypted and decrypted using RC4 symmetric key algorithm. Various performance measures such as time taken for encryption and decryption process and memory needed for storing cipher text data. The proposed model shows faster encryption of data and takes less memory for key storage as compared to the traditional approach.

2019 ◽  
Vol 15 (6) ◽  
pp. 155014771985651
Author(s):  
Zhen Liu ◽  
Yi-Liang Han ◽  
Xiao-Yuan Yang

Toward the goal of high security and efficiency for data collection in wireless sensor network, this article proposed an adaptable secure compressive sensing–based data collection scheme for distributed wireless sensor network. It adopted public key cryptography technology to solve the key distribution problem, and compressive sensing over finite fields to reduce the communication cost of data collection. Under hardness of decisional learning with errors problem on lattice, it can ensure indistinguishability against chosen ciphertext attack (IND-CCA1) security scheme for collected data on the extranet and indistinguishability against chosen plaintext attack security for data during the process of distributed collection on the intranet. Owing to the similar linear structure for lattices and compressive sensing, data encryption collection can be all in the form of efficient linear operations, and internode data aggregation can be in the form of addition operation.


2017 ◽  
Vol 13 (11) ◽  
pp. 102 ◽  
Author(s):  
Juan Li

<span style="color: black; font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 宋体; mso-themecolor: text1; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">In order to study the symmetric cryptography algorithm, which plays an essential role in ensuring the information security, AES (Advanced Encryption Standard) basic theory is discussed, and AES protocol processor for a small area based on wireless sensor network is designed. In addition, an iterative encryption and decryption AES structure is designed to achieve the non-linear transformation. And then, the wireless sensor network security is analyzed, and the results showed that in the process of encryption and decryption, making use of multiplexing and sharing technologies can help to obtain a low cost compact structure. And more importantly, it has great advantages in the resources compared with the same kind of designed structures. Based on the above findings, it is concluded that AES algorithm has good performances in wireless sensor networks and it can be widely applied.</span>


2019 ◽  
Vol 25 (6) ◽  
pp. 67-82
Author(s):  
Nadia A. Shiltagh ◽  
Mahmood Z. Abdullah ◽  
Ahmed R. x Ahmed R. Zarzoor

With wireless sensor network (WSN) wide applications in popularity, securing its data becomes a requirement. This can be accomplished by encrypting sensor node data. In this paper a new an efficient symmetric cryptographic algorithm is presented. This algorithm is called wireless sensor network wavelet curve ciphering system (WSN-WCCS).  The algorithm idea based on discrete wavelet transformation to generate keys for each node in WSN.  It implements on hierarchical clustering WSN using LEACH protocol. Python programming language version 2.7 was used to create the simulator of WSN framework and implement a WSN-WCCS algorithm. The simulation result of the proposed WSN-WCCS with other symmetric algorithms has shown that its execution time fastest among AES, 3DES and DES 15%, 55% and 17%.  


2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Md. Motaharul Islam ◽  
Ngnamsie N. Soualihou ◽  
Arham A. Siddiquee

Due to its efficiency in end-to-end communication, wireless sensor network based on the Internet protocol (IP-WSN) is used for monitoring purposes. Nowadays, the concerned agencies are giving their highest priority to monitor its critical infrastructure. Infrastructure health monitoring is the measure of estimating the state of infrastructure health or detecting the changes in structures that affect its performance. The traditional approach to monitor the infrastructure health is done by using centralized data acquisition hub. Installation and commissioning of these systems represent significant concerns, thus moving toward IP-WSN. As cost effectiveness and energy efficiency are major concerns, our proposed approach is to reduce the amount of overhead while keeping the infrastructure health monitoring system accurate. Our contribution in this paper is to reduce the amount of data to be transmitted by compressing the payload of the packets. Thus, we have proposed a double compression algorithm. In this way, the capacity of the sensor node will be increased since less time will be taken to transmit data between the intermediate node as well as the coordinator node. As a consequence, it will also extend the lifetime of the battery.


Author(s):  
Md Motaharul Islam ◽  
Ngnamsie Njimbouom Soualihou ◽  
Safi Faizullah

Structural health monitoring is the fact of estimating the state of structural healthor detecting the changes in structure that affect its performance. The traditional approach to monitor the structural health is by using centralized data acquisition hub wired to tens or even hundreds of sensors, and the installation and maintenance of these cabled systems represent significant concerns, prompting the move toward wireless sensor network. As cost effectiveness and energy efficiency is a major concern, our main interest is to reduce the amount of overhead while keeping the structural health monitoring accurate. Since most of the compression algorithm is heavy weight for wireless sensor network with respect to payload compression, here we have analyzed an algorithmic comparison of arithmetic coding algorithm and Huffman coding algorithm. Evaluation shows that arithmetic coding is more efficient than Huffman coding for payload compression.


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