An Improved Methodology towards Providing Immunity against Weak Shoulder Surfing Attack

In a conventional password based authentication system, an adversary can obtain login credentials by performing shoulder surfing. When such attacks are performed by human users with limited cognitive skills and without any recording device then it is referred as weak shoulder surfing attack. Existing methodologies that avoid such weak shoulder surfing attack, comprise of many rounds which may be the cause of fatigue to the general users. In this paper we have proposed a methodology known as Multi Color (MC) method which reduces the number of rounds in a session to half of previously proposed methodologies. Then using the predictive human performance modeling tool we have shown that proposed MC method is immune against weak shoulder surfing attack and also it improves the existing security level.