scholarly journals An Encryption Algorithm for End-to-End Secure Data Transmission in MANET

2012 ◽  
Vol 56 (16) ◽  
pp. 29-33 ◽  
Author(s):  
Rohan Rayarikar ◽  
Ajinkya Bokil
2012 ◽  
Vol 40 (7) ◽  
pp. 43-47
Author(s):  
Rohan Rayarikar ◽  
Sanket Upadhyay ◽  
Deeshen Shah

2021 ◽  
Vol 11 (1) ◽  
pp. 2
Author(s):  
Sam Banani ◽  
Surapa Thiemjarus ◽  
Kitti Wongthavarawat ◽  
Nattapong Ounanong

Pervasive sensing with Body Sensor Networks (BSNs) is a promising technology for continuous health monitoring. Since the sensor nodes are resource-limited, on-node processing and advertisement of digested information via BLE beacon is a promising technique that can enable a node gateway to communicate with more sensor nodes and extend the sensor node’s lifetime before requiring recharging. This study proposes a Dynamic Light-weight Symmetric (DLS) encryption algorithm designed and developed to address the challenges in data protection and real-time secure data transmission via message advertisement. The algorithm uses a unique temporal encryption key to encrypt each transmitting packet with a simple function such as XOR. With small additional overhead on computational resources, DLS can significantly enhance security over existing baseline encryption algorithms. To evaluate its performance, the algorithm was utilized on beacon data encryption over advertising channels. The experiments demonstrated the use of the DLS encryption algorithm on top of various light-weight symmetric encryption algorithms (i.e., TEA, XTEA, PRESENT) and a MD5 hash function. The experimental results show that DLS can achieve acceptable results for avalanche effect, key sensitivity, and randomness in ciphertexts with a marginal increase in the resource usage. The proposed DLS encryption algorithm is suitable for implementation at the application layer, is light and energy efficient, reduces/removes the need for secret key exchange between sensor nodes and the server, is applicable to dynamic message size, and also protects against attacks such as known plaintext attack, brute-force attack, replaying attack, and differential attack.


Smart Grid (SG) is used in power systems to enhance environmental sustainability and increase the efficiency of energy management. In Smart Grid systems, Smart Meter (SM) is one of the most important devices. The SM is an advanced energy meter that receives data from the load devices of end users and computes the customer’s energy consumption. After that these smart meter transfers the information to the utility company and/or system operator. The secure data transmission is the main issue between the smart meters to the smart grid. Because the advanced metering architecture is vulnerable to the cyber-attacks. In order to ensure the security of smart meter data, the cryptography based encryption techniques are used in the SG. In this paper, the secure data transmission between the SM and the SG is performed by RSA cryptography. The communication over the devices performed by Binary Phase Shift Keying (BPSK). Here, the data from the SM encrypted using RSA encryption technique and then it transmitted using BPSK to SG. At last, at the smart grid the RSA decryption technique is used to decrypt the power values from various loads. The introduced RSA based encryption key management mechanism used to provide the end to end security in the smart metering communications. The access of the data is limited by providing the key to the authorized end users for enhancing the confidentiality of the data transmission. This proposed method is named as BPSK-RSA methodology. The performance of this BPSK-RSA methodology evaluated using energy consumption of the load devices. Then the performance of BPSK-RSA methodology is compared with DFT based CHE in terms of Mean Square Error (MSE). By taking the average, the MSE of BPSK-RSA methodology is improved at 5.02% than the DFT based CHE. The performance of the BPSK-RSA methodology is also compared with ECC-SM method in terms of Packet Delivery Ratio (PDR), Throughput (TH) and End to End Delay (EED). The PDR, TH and EED of BPSK-RSA methodology are improved at 2.95%, 6.24% and 19.64% than the ECC-SM method at 100 smart meter placement.


2021 ◽  
Author(s):  
Anurag Srivastava ◽  
Abhishek Singh ◽  
Susheel George Joseph ◽  
M. Rajkumar ◽  
Yogini Dilip Borole ◽  
...  

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