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Table 1 UFED cloud analyzer for cloud forensics 5. Forensic frameworks

Table 1 UFED cloud analyzer for cloud forensics 5. Forensic frameworks

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Figure 1 Cloud Forensic Phases
Figure 1 Cloud Forensic Phases
Figure 2 Malware Injection Attack
Figure 2 Malware Injection Attack
A DDoS attack tries to block access to resources or services by flooding system resources with a lot of false traffic [6]. This traffic would heavily levy the target server's resources in a cloud environment as shown in Fig 3. This overload situation is taken as feedback input; a cloud auto-scaling function would increase the pool of resources available for this VM.
A DDoS attack tries to block access to resources or services by flooding system resources with a lot of false traffic [6]. This traffic would heavily levy the target server's resources in a cloud environment as shown in Fig 3. This overload situation is taken as feedback input; a cloud auto-scaling function would increase the pool of resources available for this VM.
As shown in Fig 4, diverse abuses may affect cloud services [7]. If the cloud provider does not provide strict mechanisms to segregate common resources like memory, storage, and reputation of various customers or hosts, hackers may conduct “Host hopping attacks”. In a “Malicious Insider attack” users in high-privilege roles, such as system administrators and information security managers, may abuse their privileged access to clients’ sensitive data and risk disclosing or selling that information to rivals or other parties of interest by hosting sensitive information from multiple clients on the same physical machine. Without any limitations or constraints on workloads or resource consumption from cloud suppliers, malicious hackers can easily create accounts with cloud providers to consume cloud resources by paying for the usage called “Identity Theft Attacks”. Attackers may take advantage of this benefit to compromise and use sensitive consumer information and then sell it for a fee.
As shown in Fig 4, diverse abuses may affect cloud services [7]. If the cloud provider does not provide strict mechanisms to segregate common resources like memory, storage, and reputation of various customers or hosts, hackers may conduct “Host hopping attacks”. In a “Malicious Insider attack” users in high-privilege roles, such as system administrators and information security managers, may abuse their privileged access to clients’ sensitive data and risk disclosing or selling that information to rivals or other parties of interest by hosting sensitive information from multiple clients on the same physical machine. Without any limitations or constraints on workloads or resource consumption from cloud suppliers, malicious hackers can easily create accounts with cloud providers to consume cloud resources by paying for the usage called “Identity Theft Attacks”. Attackers may take advantage of this benefit to compromise and use sensitive consumer information and then sell it for a fee.
In contrast to direct attacks that target the programs or their code, side-channel attacks [8] target the system's hardwar or indirect effects in order to gain information from or modify the program execution (Fig 5). Placement and Extractio: are the two fundamental components of a side-channel attack. Placement refers to the arrangement made by th adversary or attacker to install their malicious VM on the same physical computer as the legitimate one. After th malicious VM has been successfully installed on the target VM, extract the sensitive data, files, and documents from th target VM. Figure 5 Side-channel attack
In contrast to direct attacks that target the programs or their code, side-channel attacks [8] target the system's hardwar or indirect effects in order to gain information from or modify the program execution (Fig 5). Placement and Extractio: are the two fundamental components of a side-channel attack. Placement refers to the arrangement made by th adversary or attacker to install their malicious VM on the same physical computer as the legitimate one. After th malicious VM has been successfully installed on the target VM, extract the sensitive data, files, and documents from th target VM. Figure 5 Side-channel attack
A type of online eavesdropping is the "Man in the Middle Attack"(MITC) (Fig 6). The goal of hackers is to interce communications between the source and the destination [9]. The same token might permit access from any device di to the anytime, everywhere feature of cloud services. Consequently, ifa hacker has access to and can copy a token, th can remotely access the victim's cloud in a way that seems legitimate and gets over security precautions. Figure 6 Man-In-The-Middle Attack
A type of online eavesdropping is the "Man in the Middle Attack"(MITC) (Fig 6). The goal of hackers is to interce communications between the source and the destination [9]. The same token might permit access from any device di to the anytime, everywhere feature of cloud services. Consequently, ifa hacker has access to and can copy a token, th can remotely access the victim's cloud in a way that seems legitimate and gets over security precautions. Figure 6 Man-In-The-Middle Attack
Figure 7 Forensics as a Service- Three-Tier Architecture
Figure 7 Forensics as a Service- Three-Tier Architecture
Table 2 Observations on existing frameworks 6. Machine learning based intrusion detection
Table 2 Observations on existing frameworks 6. Machine learning based intrusion detection
Table 3 Comparative analysis of existing methods 7. Conclusion
Table 3 Comparative analysis of existing methods 7. Conclusion
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Computer ScienceComputer SecuritySoftware Deployment
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