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ESSAY Computer Forensic Assignment

ESSAY- Computer Forensic Assignment

If you are writing on this topic, please be certain to approach it from a digital forensics point of view. Do not approach this as a cyber security issue. Also, please be certain to show how digital forensic examiners are treating this differently than investigating any other website which is infected with malware.

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Abstract

The rapid growth and utilization of online social networks (OSNs) have facilitated the globalization of interaction and communication among individuals and organizations. However, wWhile this form of communication has facilitated increased global commerce, it has also provided a platform for the commission of cybercrimes, especially the use of malware for cyberbullying and the dissemination of slander. Criminals who commit these acts resort to elaborate countermeasures in the form of anti-forensic procedures and the lack of available resources to secure their freedom. Since they restrict forensic investigations, it becomes more difficult to secure a conviction. The malware must be recognized before it spreads to many OSNs if the digital world is to be protected from it. (If you are writing on this topic, please be certain to approach it from a digital forensics point of view. Do not approach this as a cyber security issue. Also, please be certain to show how digital forensic examiners are treating this differently than investigating any other website which is infected with malware.)

ESSAY- Computer Forensic Assignment

Signature and heuristic-based techniques are quick and effective in identifying known malware. However, sSignature-based detection has been found wanting when uncovering unknown malware. Behaviour, model-checking, and cloud-based techniques excel for sophisticated and previously undiscovered malware. The emergence of deep learning, mobile, and internet-of-things-based (This is too broad. Are you going to discuss deep learning, mobile devices, or IoT things? You could write 10-page papers on each.) methods for detecting known and undiscovered malware is another promising development for OSNs. (You appear to be approaching this as a security issue – detection and prevention. Forensics is different.) However, nNo method can guarantee 100% protection against malware on OSNs, demonstrating the difficulty of developing an efficient method for detecting malware and the pressing need for additional research and development in this area. This study provides a comprehensive analysis of current malware detection technologies that use proven ways to identify threats on OSNs. The study’s overarching goal is to provide researchers with a better understanding of the effective approaches to malware detection, including the methodologies employed and their respective benefits and drawbacks in OSNs.

Annotated Bibliography

Aslan, Ö. A., & Samet, R. (2020). A comprehensive review of malware detection approaches. IEEE Access, 8, 6249-6271. https://ieeexplore.ieee.org/abstract/document/8949524/

The authors explore the likelihood of discovering malware and describe recent technological developments in malware manufacturing and detection methods. The researchers also reviewed ongoing malware detection research and provided examples of key methodologies and techniques. In addition to providing a comprehensive analysis of malware detection strategies and processes for future malware detection efforts, the research also examines present difficulties and recommends new assumptions for existing malware detection methods. The article will help my research by providing evidence for challenges in digital forensics investigations and different malware detection approaches

Fakiha, B. (2020). Digital Forensics: Crimes and challenges in online social networks forensics. Journal of the Arab American University. https://digitalcommons.aaru.edu.jo/aaup/vol6/iss1/2/

Fakiha (2020) outlines the key condition of online social networks and their effect globally. The author also explores how OSNs have been used to perpetrate cyberattacks ranging from economic offenses to online bullying and the dissemination of false information to recruit extremists. Additionally, the researcher examines the time frame hackers may use to conceal their identity and provides suggestions for efficiently litigating cybercrime cases conducted via OSNs. The article will be essential in my research, especially in providing evidence and support for arguments about the recent trends in online social networks and the challenges digital forensics investigators are facing in identifying malware and crimes committed through these online social networks.

ESSAY- Computer Forensic Assignment

References

Aslan, Ö. A., & Samet, R. (2020). A comprehensive review of malware detection approaches. IEEE Access, 8, 6249-6271. https://ieeexplore.ieee.org/abstract/document/8949524/

Fakiha, B. (2020). Digital Forensics: Crimes and challenges in online social networks forensics. Journal of the Arab American University. https://digitalcommons.aaru.edu.jo/aaup/vol6/iss1/2/

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