Social Engineering Attack Detection and Data Protection Model (SEADDPM)

Abstract

Our modern life has been influenced in myriad ways by the Internet and digital technologies along with its every ameliorating advancement. But its omnipresence has consequently turned out be a boon for cyber attackers and intruders. The colossal impact of the Internet and the widespread growth of E-business have cleared the way for cyber fraudulence whereby attackers tend to target various public agencies especially the employees of Call Centre. The intruders have been using various techniques and tools of Social Engineering for the purpose of security breach and data leakage. This paper proposes a Social Engineering Attack Detection and Data Protection Model which can be used by the employees of any agency to not only detect the social engineering attacks but also to protect their files containing sensitive data and information from an attacker. Hence, this model will be very helpful and effective in resisting the attacker from manipulating himself or herself, in ensuring data protection and in safeguarding the security of employees.