Secure Force: A low-complexity cryptographic algorithm for Wireless Sensor Network (WSN)

Author(s):  
Mansoor Ebrahim ◽  
Chai Wai Chong

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 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%.  


2007 ◽  
Vol 04 (01) ◽  
pp. 77-89 ◽  
Author(s):  
WANMING CHEN ◽  
HUAWEI LIANG ◽  
TAO MEI ◽  
ZHUHONG YOU ◽  
SHIFU MIAO ◽  
...  

Global Positioning System (GPS) is often used as a main information source for robot localization and navigation. However, it cannot be used in room or in field complex environment because of the bad signal there. To solve this problem, the authors designed and implemented a specific wireless sensor network (WSN) to provide information about the environment and indicate path for robot navigation. A two-stage auto-adaptive route selecting mechanism of the WSN was proposed to facilitate data relaying in localization and the robot's navigation. A low complexity localization algorithm was used to localize both the nodes and the robot. An indirect communication method was designed to make the communication between the WSN and the robot possible. In addition, a robot navigation method was proposed based on the wireless sensor network. In this method, the robot did not need to obtain the environment information; the wireless sensor nodes collected and fused the distributed information and then indicate a path for the robot. Experiments showed that the wireless sensor network can result in obstacle avoidance navigation, and can implement the online navigation.


2013 ◽  
Vol 62 (9) ◽  
pp. 2538-2548 ◽  
Author(s):  
Paolo Carbone ◽  
Alessandro Cazzorla ◽  
Paolo Ferrari ◽  
Alessandra Flammini ◽  
Antonio Moschitta ◽  
...  

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