Final Draft Thesis

LITERATURE REVIEW 1

LITERATURE REVIEW 3

“Advanced Techniques for Cybercrime Analysis: Identifying and Mitigating Emerging Threats”

American Military University

Literature Review

Cybercrime is a problem that is quickly spreading and poses a serious threat to people, businesses, and society at large. It gets harder for law enforcement and security professionals to keep up with cybercriminals' access to various tools and strategies as technology and the internet continue to advance. Cybercriminals have been using increasingly sophisticated tactics and approach in recent years, including advanced persistent threats, ransomware, phishing, and banking trojans (Opris, 2022). In order to combat these new threats, academics have concentrated on creating sophisticated methods for analyzing cybercrime and choosing practical methods for reducing cyber risks. This literature review will provide an overview of current research on advanced cybercrime analysis, including evolving cybercrime trends, evaluation techniques, and strategies for minimizing cyber threats.

Network analysis is one of the areas of study in cybercrime analysis. The main goal of network analysis is to examine the connections between cybercriminals, their targets, and the strategies they employ to carry out attacks. Network analysis was utilized in a study by Ajayi (2022) to identify important actors in cybercrime networks and track their activities, giving important insights into how these networks function. Another kind of cybercrime analysis is the study of cybercriminals' behaviors and patterns to determine their motivations and strategies. This method is known as behavioral analysis. In a study by Perwej et al. (2021), behavioral analysis was utilized to pinpoint ransomware attacker behavior patterns, allowing security professionals to comprehend their strategies better and create more potent defences.

Another effective technology for analyzing cybercrime is data mining, which enables researchers to glean information from big databases and spot patterns and trends in cybercrime activity. In a study by Nguyen (2020), trends in phishing attempts were discovered using data mining. This helped security experts better understand the strategies used by cybercriminals and create more efficient responses.

According to Ajayi (2022), cutting-edge global communication methods have ushered in a golden age of progress and ease for people everywhere. This ease of use, however, has a price: a rise in cyber risks. Organizations need to keep their guard up against ever-evolving cybersecurity threats because of the risks they pose. Using a risk-centric paradigm is crucial in protecting against cybersecurity risks. This means businesses must determine the most crucial resources and secure those first. The organization's security goals should be spelled out in a comprehensive policy and disseminated to all employees so that everyone knows their responsibility to keep sensitive data safe from hackers. While adversaries' tactics, techniques, and procedures are continually being refined, security engineers and architects must be adaptable to new circumstances (Opris, 2022). Organizations can assess their vulnerability to new risks and prepare for them by adopting a risk-centric methodology.

Organizations need cutting-edge cybercrime analysis tools and methods to counteract evolving threats effectively. Organizations can take immediate action to prevent or lessen the effects of an attack thanks to the real-time threat identification made possible by these tools. Artificial intelligence and machine learning algorithms are among the most cutting-edge cybercrime analysis tools available today because they can spot anomalies and data patterns that might indicate an impending cyber-attack. Organizations can gain a deeper understanding of threat actors' actions and motivations with the help of advanced threat intelligence platforms. Organizations can prevent cyber-attacks on their most valuable assets by using these cutting-edge tools and techniques to stay one step ahead of ever-evolving threats.

The ever-changing nature of cybercrime is one of the biggest obstacles faced by cybersecurity experts today. The methods used by hackers to circumvent security measures and access protected networks are continually evolving. In order to adapt to these shifts, experts have developed cutting-edge cybercrime analytic techniques that provide resources for spotting and counteracting new dangers. The application of machine learning algorithms is a crucial part of cutting-edge methods for analyzing cybercrime. In order to help cybersecurity experts better identify possible risks, these algorithms can be trained to discover patterns and abnormalities in big datasets. Threat identification and mitigation can be automated using machine learning, allowing human analysts to focus on higher-level activities. In addition to focusing on developing sophisticated techniques for cybercrime analysis, it is crucial to put a strong emphasis on building out threat intelligence platforms (Perwej et al., 2021). The ability to detect and monitor new security threats in real-time is made possible by these systems' integration of machine learning algorithms, data analytics, and human analysis. Threat intelligence solutions can aid businesses in proactively mitigating risks by delivering up-to-date information on the latest threats.

Perwej et al. (2021) state cybersecurity is an enterprise-wide issue that needs buy-in from upper management and staff alike to be effectively addressed. Creating a security culture and setting policies, processes, and guidelines that employees must comply with are two of the most important things management can do to improve cybersecurity. In addition, upper management needs to provide sufficient resources (including money, personnel, and training) to make the cybersecurity plan work. It is important to remember that employees also play a significant part in cybersecurity. As the first line of defence against cyber-attacks, they must always keep their wits about them and report anything that seems out of the ordinary (Perwej et al., 2021). To ensure that all employees know the current cybersecurity dangers and best practices, it is important to provide them with ongoing cybersecurity training. In addition, they need to follow all applicable security policies and procedures, such as using complex passwords, avoiding phishing emails, and reporting missing or stolen devices.

There needs to be a collaboration between upper management and staff to properly address cybersecurity concerns. To better understand and address security concerns, management should promote open lines of communication and teamwork among staff members. Management can better address security concerns if employees feel encouraged to report occurrences and concerns to them. Implementing a security awareness program is one way for management to get workers involved in cybersecurity (Perwej et al., 2021). Regular training and instruction on cybersecurity best practices, as well as any emerging threats or hazards, should be provided to staff as part of this program. The curriculum can also be used by management to stress the significance of cybersecurity and inspire staff to take greater responsibility for safeguarding company assets.

There are still gaps in the literature that need to be filled despite the expanding corpus of research on advanced cybercrime analysis. For instance, more research is required on new dangers like deep fake attacks and other types of cybercrime based on AI (Perwej et al., 2021). More in-depth research is also required to fully comprehend the benefits and drawbacks of specific approaches, such as network analysis and behavioral analysis.

In conclusion, technology's rapid development has benefited modern society in many ways but has also opened the door to more complex cyberattacks. So, in order to effectively identify and counteract new forms of cybercrime, businesses must implement state-of-the-art cybercrime analytic methodologies. The study results demonstrate that upper-level management and individual workers are important in mitigating cybersecurity risks. Management should prioritise cybersecurity and create a risk-centric strategy for dealing with threats, while staff members should be taught how to recognize and avoid cyberattacks.

References

Ajayi, W. (2022). Analysis of modern cybersecurity threat techniques andavailable mitigating methods. International Journal of Advanced Research in Computer Science, 13(2), 49–55. https://doi.org/10.26483/ijarcs.v13i2.6815

Conteh, N. Y. (2021). Ethical hacking, threats, and vulnerabilities in cybersecurity. Ethical Hacking Techniques and Countermeasures for Cybercrime Prevention, 1–18. https://doi.org/10.4018/978-1-7998-6504-9.ch001

Nguyen, T. T. (2020). Cybercrime in Vietnam: A critical analysis of its regulatory framework. (pp. 1-6).

Opris, C. (2022). Cybercrime evolution and current threats. International Journal of Information Security and Cybercrime, 11(1), 41–48. https://doi.org/10.19107/ijisc.2022.01.05

Perwej, D. Y., Qamar Abbas, S., Pratap Dixit, J., Akhtar, D. N., & Kumar Jaiswal, A. (2021). A systematic literature review on the cyber security. International Journal of Scientific Research and Management, 9(12), 669–710. https://doi.org/10.18535/ijsrm/v9i12.ec04