VMShield: Memory Introspection-Based Malware Detection to Secure Cloud-Based Services Against Stealthy Attacks

Vehicle Security: A Survey of Security Issues and Vulnerabilities, Malware Attacks and Defenses

“…Recently, several researchers have used cloud-based techniques to analyze and identify malware [178]- [194]. Table 7 shows a detailed comparison of cloud-based malware detection solutions.…”

“…These methods are also inappropriate for usage in intelligent cars since they are incapable of detecting malware in real-time because they need a long time to detect malware. In recent studies, dynamic analysis has been utilized in the cloud to detect malware [188], [190]- [194]. For instance, the authors of [188], [192] have proposed a dynamic method for detecting malware based on monitoring system calls.…”

“…For instance, the authors of [188], [192] have proposed a dynamic method for detecting malware based on monitoring system calls. Similarly, work by Mishra et al [194] proposed a dynamic method to detect malware based on n-gram features. The authors of [191], [193] have used hardware features and hardware performance counters to detect malware.…”

“…• All present approaches [120]- [135], [144]- [159], [163]- [194], [198]- [221] are vulnerable to various types of obfuscation and evasion techniques as new malware generations utilize various sorts of obfuscation and evasion techniques to disguise themselves. For example, some kinds of malware employ throttled execution in order to evade detection [240], [241].…”

“…[144]- [159], [163]- [194], [198]- [221] are unsuitable for use in intelligent vehicles due to concerns about passengers safety. • All of the current approaches [120]- [135], [144]- [159],…”