Energy Efficient Data Encryption Techniques in Smartphones
- 76 Downloads
Mobile devices have been increased exceptionally in recent years, consequently data generation has also been raised exceptionally. Most of the data generated by mobile devices is transferred to servers for processing and storage. Managing security of mobile data is a necessary feature of every network and mostly encryption is used to avoid security breaches. The major challenge is that, mobile devices are very small with shortage of resources, on the other hand encryption of data requires extra energy. It is necessary to minimize energy requirements for encryption of data. For this experimental research, an android based application is developed, which optimize energy requirements for both single and double encryption techniques. AES and Blowfish encryption algorithms are used with different files sizes to test the energy requirements for single encryption, it is also examined that energy consumed by Blowfish is 119.311% more than AES. For double encryption methods, AES–Blowfish, Blowfish–AES and XTS–AES combinations of algorithms are used and energy usage is gathered. In double encryption XTS–AES consumed 13.26% less power consumption as compared to AES–Blowfish and 44.97% less then Blowfish–AES combination methods. Results of experiments revealed that AES is more energy efficient for single encryption and for double encryption XTS–AES combination requires less energy.
KeywordsEnergy efficiency Encryption algorithms Smartphone power consumption Android operating system
- 1.Halpert, B. (2004). Mobile device security. In Proceedings of the 1st annual conference on information security curriculum development. Kennesaw, Georgia: ACM.Google Scholar
- 4.Global mobile OS market share in sales to end users from 1st quarter 2009 to 2nd quarter 2017. https://www.statista.com/statistics/266136/global-market-share-held-by-smartphone-operating-systems/. Accessed Aug 2018.
- 5.Alomari, M. A., & Samsudin, K. (2011). A framework for GPU-accelerated AES-XTS encryption in mobile devices. In TENCON 2011-2011 IEEE region 10 conference (pp. 144–148). IEEE.Google Scholar
- 6.Gotzfried, J., & Muller, T. (2013). ARMORED: CPU-bound encryption for android-driven ARM devices. In Eighth international conference on availability, reliability and security (ARES), 2013 (pp. 161–168). IEEE.Google Scholar
- 7.Digital in 2018: Worlds internet users pass the 4 billion marks. https://wearesocial.com/blog/2018/01/global-digital-report-2018. Accessed Aug 2018.
- 9.Rogers, R., Lombardo, J., Mednieks, Z., & Meike, B. (2009). Android application development: Programming with the Google SDK. Sebastopol: O’Reilly Media Inc.Google Scholar
- 10.Al-Subaihin, A. A., Sarro, F., Black, S., Capra, L., Harman, M., Jia, Y., et al. (2016). Clustering mobile apps based on mined textual features. In Proceedings of the 10th ACM/IEEE international symposium on empirical software engineering and measurement (p. 38). ACM.Google Scholar
- 11.Elminaam, D. S., Abdul, H. M., Kader, A., & Hadhoud, M. M. (2008). Performance evaluation of symmetric encryption algorithms. IJCSNS International Journal of Computer Science and Network Security, 8(12), 280–286.Google Scholar
- 12.Lee, S., & Annavaram, M. (2012). Wireless body area networks: Where does energy go? In IEEE international symposium on workload characterization (IISWC), 2012 (pp. 25–35). IEEE.Google Scholar
- 13.Chin, C. A., Crosby, G. V., Ghosh, T., & Murimi, R. (2012). Advances and challenges of wireless body area networks for healthcare applications. In International conference on computing, networking and communications (ICNC), 2012 (pp. 99–103). IEEE.Google Scholar
- 17.Rogers, R., Lombardo, J., Mednieks, Z., & Meike, B. (2009). Android application development: Programming with the Google SDK. Sebastopol: O’Reilly Media Inc.Google Scholar
- 18.Gordon, M., & Zhang, L. (2011). Powertutor. http://ziyang.eecs.umich.edu/projects/powertutor/. Accessed Aug 2018.
- 19.National Institute of Standards and Technology (NIST), Computer Security Division. Announcing the Advanced Encryption Standard (AES). Gaithersburg, MD, USA, 2001. http://csrc.nist.gov/publications/fips/fips197/fips-197.pdf. Accessed Aug 2018.
- 20.Umaparvathi, M., & Varughese, D. K. (2010). Evaluation of symmetric encryption algorithms for MANETs. In IEEE International conference on computational intelligence and computing research (ICCIC), 2010 (pp. 1–3). IEEE.Google Scholar
- 21.Stallings, W. (2006). Cryptography and network security (4th ed.). Upper Saddle River: Prentice Hall Publication (pp. 232–314).Google Scholar
- 22.Ambrosin, M., Conti, M., & Dargahi, T. (2015). On the feasibility of attribute-based encryption on smartphone devices. In Proceedings of the 2015 workshop on IoT challenges in mobile and industrial systems. ACM.Google Scholar
- 23.Dworkin, M. (2010). Recommendation for block cipher modes of operation: The XTS–AES mode for confidentiality on storage devices. NIST special publication 800.Google Scholar
- 25.LineageOS Android free and open-source operating system. https://www.lineageos.org/. Accessed Aug 2018.