Details

Autor(en) / Beteiligte

• Pant, Millie
• Ray, Kanad
• Sharma, Tarun K
• Rawat, Sanyog
• Bandyopadhyay, Anirban

Titel

Threat Detection for Software Vulnerability Using DE-Based Adaptive Approach

Ist Teil von

• Soft Computing: Theories and Applications, 2017, Vol.584, p.555-566

Ort / Verlag

Singapore: Springer Singapore Pte. Limited

Erscheinungsjahr

2017

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Cloud computing has become a view in mind’s eye of the upcoming entrepreneur architecture of the IT enterprise but still their exits security issues of information and communication technology (ICT), which has become primary mission since decades. In today’s world, several blending vulnerabilities are making ICT infrastructure more prone to the worldly attacks and left behind disastrous impacts. Presently, the organizations are taking cloud computing, valuable option for outsourcing the important IT services so that it could cut the cost. In this research paper, we have proposed a security infrastructure for cloud and also a productive path to reduce the vulnerability threats and optimize the cost by using the differential evolutionary algorithm. We wind up our result by ensuring that the cloud computing providers and the business man can have an efficient control on the security services of the IT companies and reducing the cost amount by using our submitted work.