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In this paper, we consider the effects of synthetic forgery attacks in the context of biometric authentication systems.
However, we demonstrate that their scheme is vulnerable to man-in-the-middle and forgery attacks, two previously unknown flaws.
Those approaches also are very vulnerable to RTT forgery attacks.
However, using features directly makes the scheme susceptible to forgery attacks.
Forgery attacks in terms of second preimage [17] or birthday forgery [18] are carried out by the attackers to find valid tags.
RTT forgery attacks can be detected or avoided depending on how RTTs are forged: Random RTT forgery: it might be reasonably assumed that CSP would increase/decrease RTTs only for verification queries, otherwise CSP outgoing traffic will be impacted resulting in QoS degradation.
Similar(54)
This operation lets the attackers use the privilege of communicative law and practice forgery attack on the hash function.
In this paper, we revisit the scheme of Amin and Biswas and reveal previously unknown vulnerabilities in the scheme (i.e. sensor capture attack, user forgery attack, gateway forgery attack, sensor forgery attack and off-line guessing attack).
The attacking processes are the same as the forgery attack.
Problem: Birthday forgery attack using the given information.
Some of these algorithms are broken by forgery attack [37].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com