Author
Listed:
- Geetha Kurikala
- K Gurnadha Gupta
- A.Swapna
Abstract
Now days, Cloud network is less secure or defend the data on cloud from the data felony attacks, principally corporate executive attacks. An oversized and secure of skilled and private information is kept on Cloud server. Cloud network storage is getting used in numerous industrial sectors. During this sector of the abundant blessings of storing information on cloud, Security still remains a serious downside that must be conquered. Computers system is employed to access the data on Cloud, with the new communication and computing network produce new information security challenges. The subsisting ways of protective secure and vital information on cloud have unsuccessful in preventing information felony attacks. AN altered approach is administrated for securing the data, additionally to the previous normal cryptography mechanisms. The user’s victimization the Cloud square measure monitored and their access patterns square measure recorded. All Users have a novel profile that is monitored and updated to the server. Once AN unwanted activity like unauthorized permission access or random and untargeted hunt for information is detected that isn't seemingly to be of the $64000 user, a misinformation attack is launched. The any user or one who is attempting to access the own information is formed to answer the protection queries. An oversized quantity of Decoy information is provided or out there to the aggressor that successively protects the user’s real information.
Suggested Citation
Geetha Kurikala & K Gurnadha Gupta & A.Swapna, 2017.
"Fog Computing : Implementation of Security and Privacy to Comprehensive Approach for Avoiding Knowledge Thieving Attack Exploitation Decoy Technology,"
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(4), pages 176-181, August.
Handle:
RePEc:jbh:ijsrcs:v2:y2017:i4:id:hcseit172428
Note: Article URL: https://ijsrcseit.com/CSEIT172428
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