Abstract
The growth of ICT 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. Users can delete a ransomeware code using an antivirus software code. However, the encrypted data would be impossible to recover. Therefore, ransomware 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.
Highlights
IntroductionWith the progress of digital society, the traditional society’s activity has been closely related to cyberspace the growth of ubiquitous technology
With the progress of digital society, the traditional society’s activity has been closely related to cyberspace the growth of ubiquitous technology.Most of Society activity on cyberspace protecting data from malicious threats as being society has become increasingly digital [1].Malicious codes are the major threat of cyber-attacks, the malicious programs are installed without users agreement at same time break user system’s protection to control user system secretly [2].The initial malicious codes are virus-typed to destroy systems
We provided a quantification model based on hash algorithm to against social engineering based malicious attacks
Summary
With the progress of digital society, the traditional society’s activity has been closely related to cyberspace the growth of ubiquitous technology. With the risk increase of malicious code, the anti-malware’s design and develop are necessary It is Traditional software engineering techniques and social engineering has been applied to target against attacks such as APT (Advanced Persistent Threat) [3]. Ransomware is recent top issue, employs social engineering techniques that are used to trigger users curiosity and induce users to make approach. Such malware emerges as a more powerful threat [4]. In this paper we provide a techniques for detect ransomware with social engineering, in this design include a quantitative model, which can be use to detecting. If the infected computer or file to ransomware, and it is not be repaired (Figure 1)
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