Informatics Publishing Limited

Donghyun Kim ¹, Wooyoung Soh ², Seoksoo Kim ¹

Affiliations
1 Department of Multimedia, Hannam University, KR
2 Department of Computer Engineering, Hannam University, KR

Abstract

The growth of ICT (Information and Communication Technology) within the society has become increasingly digitized, thus, the overall activity has amounted to various researches for protecting any data from malicious threats. Recently, ransomware has been a rapidly propagated subject for social engineering techniques especially the ransomware crypto locker. Users can delete a crypto locker code using an antivirus software code. However, the encrypted data would be impossible to recover. Therefore, crypto locker must be prevented and must have early detection before it infects any data. In this paper, we are proposing a quantification model to prevent and detect any cryptographic operations in the local drive.

Keywords

Cryptolocker, Prevent Model, Quantification, Social Engineering, Warning Technologies.

Full Text

   

Donghyun Kim ¹, Seoksoo Kim ¹

Affiliations
1 Department of Multimedia, Hannam University, KR

Abstract

Recently, not only technological engineering techniques as well as social engineering have been applied to target attacks such as APT. The security system to prevent cyber-attack against smart meter must consider the smart meter environment and also apply cognition and behavior pattern of the attacker from both technical and social engineering perspective and quantified prediction of flexible and strategic cyber-attacks should precede it. Therefore, in this paper, a model was designed to quantify APT attack on smart grid in advance.

Keywords

Prevent APT Attack, Quantification Model, Smart Grid, Smart Meter.

Full Text