Title :
Data security analysis for DDoS defense of cloud based networks
Author :
Mohammed Khudhur Hussein;Nasharuddin Bin Zainal;Aws Naser Jaber
Author_Institution :
Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi Selangor, Malaysia
Abstract :
Distributed computing has become an effective approach to enhance capabilities of an institution or organization and minimize requirements for additional resource. In this regard, the distributed computing helps in broadening institutes IT capabilities. One needs to note that distributed computing is now integral part of most expanding IT business sector. It is considered novel and efficient means for expanding business. As more organizations and individuals start to use the cloud to store their data and applications, significant concerns have developed to protect sensitive data from external and internal attacks over internet. Due to security concern many clients hesitate in relocating their sensitive data on the clouds, despite significant interest in cloud-based computing. Security is a significant issue, since data much of an organizations data provides a tempting target for hackers and those concerns will continue to diminish the development of distributed computing if not addressed. Therefore, this study presents a new test and insight into a honeypot. It is a device that can be classified into two types: handling and research honeypots. Handling honeypots are used to mitigate real life dangers. A research honeypot is utilized as an exploration instrument to study and distinguish the dangers on the internet. Therefore, the primary aim of this research project is to do an intensive network security analysis through a virtualized honeypot for cloud servers to tempt an attacker and provide a new means of monitoring their behavior.
Keywords :
"Cloud computing","Covariance matrices","Servers","Computer crime","Computers"
Conference_Titel :
Research and Development (SCOReD), 2015 IEEE Student Conference on
DOI :
10.1109/SCORED.2015.7449345