Abstract
The integration of material for use of the Internet, which is utilized by IT technology, is a cloud. The well-defined cloud is one of the best modern technology companies for product performance and changes depending on demand. Now, all the infrastructure of day-to-day business infrastructures, there is a lot of data necessary for the safe transfer of data through the Internet. This may include a company’s confidential information about product designs, product expiration dates, patent owner information, human resources, job evaluation, etc. Currently, all organizations are waiting on the web. Conversely, the information necessity be moderated, although it can capture the information. Consequently, all customers must use the cloud. In Hacker’s observation which in some cases is the immediate move that the sensitive information will be held within the virtual private cloud. The global security record during 2018, containing the data mobility in the cloud at about 86.67%, a global analyst estimates that this liming can be achieved at 100%. Therefore, this research paper focuses on IP security, which is a typical set of rules for obtaining Internet Protocol (IP) communication by verifying and encrypting the transfer of the information stream from the network routing as OSPF and EIGRP (Enhanced Interior Gateway Routing Protocol) protocol to implements, the effects of using the IP security tunnel on the Network as a Service in the edge router. AES - Encryption algorithm, SHA1 hash algorithm and Pre-Shared keys are used in the proposed structure. The looking at of the domino effect also shows to facilitate the ESP protocol is vaguely less effective than the header authentication protocol, which is obviously due to the ESP protocol that supports data encryption, where Cloud is implemented with GNS3, tested in the Wireshark to protect against attacks.
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Bommala, H., Kiran, S. (2020). Sensitive Information Security in Network as a Service Model in Cloud-IPSec. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-24322-7_29
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DOI: https://doi.org/10.1007/978-3-030-24322-7_29
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