Developing and Evaluation of New Hybrid Encryption Algorithms
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2014, Vol 13, Issue 1
Abstract
Wireless Sensor networks consist of hundreds or thousands of low cost, low power and self-organizing nodes which are highly distributed. As wireless sensor networks continue to grow, so does the need for effective security mechanisms because sensor networks may interact with sensitive data. Encryption algorithms play good roles in information security systems (ISS). Those algorithms consume a significant amount of computing resources such as battery power. Wireless Sensor networks are powered by a battery which is a very limited resource. At present, various types of cryptographic algorithms provide high security to information on networks, but there are also has some drawbacks. The present asymmetric encryption methods and symmetric encryption methods can offer the security levels but with many limitations. For instance key maintenance is a great problem faced in symmetric encryption methods and less security level is the problem of asymmetric encryption methods even though key maintenance is easy. To improve the strength of these algorithms, we propose a new hybrid cryptographic algorithm in this paper. The algorithm is designed using combination of two symmetric cryptographic techniques and two Asymmetric cryptographic techniques. This protocol provides three cryptographic primitives, integrity, confidentiality and authentication. It is a hybrid encryption method where elliptical curve cryptography (ECC) and advanced encryption (AES) are combined to provide node encryption. RSA algorithm and Blowfish are combined to provide authentication and (MD5) for integrity. The results show that the proposed hybrid cryptographic algorithm gives better performance in terms of computation time and the size of cipher text.This paper tries to present a fair comparison between the new protocols with four existing different hybrid protocols according to power consumption. A comparison has been conducted for those protocols at different settings for each protocol such as different sizes of data blocks, and finally encryption/decryption speed. Experimental results are given to demonstrate the effectiveness of each algorithm.
Authors and Affiliations
DiaaSalama AbdElminaam, Hatem M. Abdul Kader, Mohie M. Hadhoud, Salah M El-Sayed
Keywords
Related Articles
- EP ID EP650466
- DOI 10.24297/ijct.v13i1.2926
- Views 104
- Downloads 0
POWER SAVING LOAD BALANCING STRATEGY USING DVFS IN CLOUD ENVIRONMENT
Cloud Computing is a technology that provides a platform for the sharing of resources such as software, infrastructure, application and other information. Cloud Computing is being used widely all over the world by many I...
Prediction Of Long Term Living Donor Kidney Graft Outcome: Comparison Between Different Machine Learning Methods
Predicting the outcome of a graft transplant with high level of accuracy is a challenging task In medical fields and Data Mining has a great role to answer the challenge. The goal of this study is to compare the performa...
A Review on associative classification for Diabetic Datasets A Simulation Approach
Association rules are used to discover all the interesting relationship in a potentially large database. Association rule mining is used to discover a small set of rules over the database to form more accurate evaluation...
Security Frameworks: A Study on Different Approaches for the Internet of Things
This paper provides an overview of some of the major works that focus on the use of security frameworks for Internet of Things environment to facilitate the development of applications for this scenario. The Internet of...
BNP TASK SCHEDULING ALGORITHMS FOR PERFORMANCE EVALUATION IN PARALLEL SYSTEM
Scheduling is the process to minimize the schedule length by proper allocation of the tasks to the processors and arrangement of execution sequencing of the tasks. Multiprocessor Scheduling using Directed Acyclic Graph (...