A Novel Research on the Influence of Enterprise Culture on Internal Control in big Data and Internet of Things

The effective management of enterprise resources in internet of things is a growing research trend in modern era. The big data concept influences more opportunities to the researchers to exhibit their innovations in various application oriented fields. The academic and organizational researches suggested that big data provides more benefits on sustained basis for the committed resource management environment. The study shows positive and active enterprise culture is positively correlated to effective internal control. In the enhancement of these resource management initiatives, the dynamic capability of the data and its assumptions are considered. In the case of enterprise culture the implication of practical and business limitations and advantages are discussed in this article. The intellectual contributions and the poles of excellence on the field of big data is a common platform upon which several communication components in practice on every day use which are interfaced and interconnected. In general IoT reduces the distance between the real world and internet by incorporating and integrating different perspectives of technology such as pervasive computing, data communication, networking, sensor node communication etc.,

[1]  Sherali Zeadally,et al.  Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies , 2015, IEEE Wireless Communications.

[2]  Jordi Mongay Batalla,et al.  Conception of ID layer performance at the network level for Internet of Things , 2013, Personal and Ubiquitous Computing.

[3]  Eui-Nam Huh,et al.  Cloud of Things: Integrating Internet of Things and cloud computing and the issues involved , 2014, Proceedings of 2014 11th International Bhurban Conference on Applied Sciences & Technology (IBCAST) Islamabad, Pakistan, 14th - 18th January, 2014.

[4]  Raffaele Bruno,et al.  Robust and efficient data collection schemes for vehicular multimedia sensor Networks , 2013, 2013 IEEE 14th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM).

[5]  Ashiq Anjum,et al.  Cloud Based Big Data Analytics for Smart Future Cities , 2013, UCC.

[6]  Giannis F. Marias,et al.  Towards secure and context-aware information lookup for the Internet of Things , 2013, 2013 International Conference on Computing, Networking and Communications (ICNC).

[7]  Pasquale Pace,et al.  STEM‐Net: an evolutionary network architecture for smart and sustainable cities , 2014, Trans. Emerg. Telecommun. Technol..

[8]  Jameela Al-Jaroodi,et al.  Real-time big data analytics: Applications and challenges , 2014, 2014 International Conference on High Performance Computing & Simulation (HPCS).

[9]  Alvaro A. Cárdenas,et al.  Big Data Analytics for Security , 2013, IEEE Security & Privacy.

[10]  Audrey A. Gendreau,et al.  Survey of Intrusion Detection Systems towards an End to End Secure Internet of Things , 2016, 2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud).

[11]  Sophie Chabridon,et al.  QoC-aware context data distribution in the internet of things , 2014, M4IOT '14.