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Survey on Prevention of Key Based Attack on Data Sharing System


Mr. Khaire Sandesh H , LNCTS, Indore, M.P, India; Prof. Hemant Gupta, LNCTS, Indore, M.P, India; Prof. Mayank Bhatt, LNCTS, Indore, M.P, India


Data Sharing System, Key based Attack


Today security is very important in the networking system. There are multiple anomaly detection systems rely on machine learning algorithms to derive a model of normality that is later used to detect suspicious events. Such algorithms are generally susceptible to deception, notably in the form of attacks carefully constructed to evade detection. Various learning schemes have been proposed to overcome this weakness. One such system is Keyed IDS (KIDS), introduced at DIMVA “10. KIDS” core idea is akin to the functioning of some cryptographic primitives, namely to introduce a secret element (the key) into the scheme so that some operations are infeasible without knowing it. In KIDS the learned model and the computation of the anomaly score are both key-dependent, a fact which presumably prevents an attacker from creating evasion attacks but in that some limitations. To avoid that limitations and provide high level of security additional modules we are adding in the KIDS system that is re-signature. In this work we show that recovering the key is extremely simple provided that the attacker can interact with KIDS and get feedback about probing requests. We are studying on the Re-Signature technique for key recovery in IDS system. This system is very efficient and secure as compare to existing system.

Other Details

Paper ID: IJSRDV5I120013
Published in: Volume : 5, Issue : 12
Publication Date: 01/03/2018
Page(s): 20-22

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