A DES-Based Mechanism to Secure Personal Data on the Internet of Things

The Internet of Things (IoT) helps users in their day to day activities such that they can communicate with each other through sensors very easily and in less time. Communication through intermediate sensor nodes may violate security because it may harm confidential user data or information by either modifying it or not forwarding to it. To deal with such problems, a number of cryptographic secure mechanisms are available that provide symmetric and asymmetric keys to secure data and each mechanism has its own pros and cons. In this paper, a secure DES-based mechanism is proposed in which a DES algorithm is used to transfer the data between users through sensor nodes without no loss of security.

[1]  Mark Billinghurst,et al.  Wearable Devices: New Ways to Manage Information , 1999, Computer.

[2]  Daniela Fogli,et al.  AmI@Home: A Game-Based Collaborative System for Smart Home Configuration , 2016, AVI.

[3]  Nikolaos G. Bourbakis,et al.  A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[4]  Stefan Poslad,et al.  Ubiquitous Computing: Smart Devices, Environments and Interactions , 2009 .

[5]  Jiguo Yu,et al.  Side-channel information leakage of encrypted video stream in video surveillance systems , 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.

[6]  Gregory S. Yovanof,et al.  An Architectural Framework and Enabling Wireless Technologies for Digital Cities & Intelligent Urban Environments , 2009, Wirel. Pers. Commun..

[7]  W. Scott Spangler,et al.  A smarter process for sensing the information space , 2010, IBM J. Res. Dev..

[8]  Matija Naglic,et al.  Concept of SmartHome and SmartGrids integration , 2013, 2013 4th International Youth Conference on Energy (IYCE).

[9]  Fan Zhang,et al.  OPFKA: Secure and efficient Ordered-Physiological-Feature-based key agreement for wireless Body Area Networks , 2013, 2013 Proceedings IEEE INFOCOM.

[10]  Peter Friess,et al.  Internet of Things Applications - From Research and Innovation to Market Deployment , 2014 .

[11]  Tao Xiang,et al.  Secure and Efficient Data Communication Protocol for Wireless Body Area Networks , 2016, IEEE Transactions on Multi-Scale Computing Systems.

[12]  Li Jun,et al.  Smart Home System Based on IOT Technologies , 2013, 2013 International Conference on Computational and Information Sciences.

[13]  Ivan E. Sutherland,et al.  A head-mounted three dimensional display , 1968, AFIPS Fall Joint Computing Conference.

[14]  Peter Friess,et al.  Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems , 2013 .

[15]  Jianzhong Li,et al.  Curve Query Processing in Wireless Sensor Networks , 2015, IEEE Transactions on Vehicular Technology.

[16]  Dave Evans,et al.  How the Next Evolution of the Internet Is Changing Everything , 2011 .

[17]  Jiguo Yu,et al.  SINR based Maximum Link Scheduling with Uniform Power in Wireless Sensor Networks , 2014, KSII Trans. Internet Inf. Syst..

[18]  Jiguo Yu,et al.  A Privacy Preserving Communication Protocol for IoT Applications in Smart Homes , 2017, IEEE Internet of Things Journal.

[19]  Cameron S. Miner,et al.  Digital jewelry: wearable technology for everyday life , 2001, CHI Extended Abstracts.

[20]  Cornel Klein,et al.  From Smart Homes to Smart Cities: Opportunities and Challenges from an Industrial Perspective , 2008, NEW2AN.

[21]  Jianbin Zhang,et al.  An IoT-based appliance control system for smart homes , 2013, 2013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP).