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Cyber risk is known as a risk of financial information, damage and disruption of organizational reputation which can sort from the failure in a technology system. This damage can deleverage by other breaches and poor security systems. Sometimes this cyber risk can be accidental or for that IT risk. This problem can be manageable for any business. Best management planning and progress reduce or provide a stop button to this. Cyber risk grows in public and private threads for information systems. In this project the Insurance Australia Group limited has been selected to understand the procedure. IAG is the largest Insurance Company in Australia and New Zealand.
In Past year the cyber security pandemic remained in this organization. The cyber-attacks provide impact across to the spectrum. In recent development they are trying to demand that the thread has come from public data. IAG considers the data to carry personal information of consumer or third investor parties. After mitigation attacks on internal information, cyber insurance has been occurring for the last few years (Egan et al. 2019). The IAG management said they need to create more denotive and effective mitigation to avoid this type further cyber-attack.
Data theft is the most common cyber risk nowadays, and this IAG Company has a big part of their consumer data. Here the organizational financial data is also included. It was not just a data hefting case, the intellectual property details were also attacked by the cyber risk. If the threads are remaining in the business that can be the cause of mitigation.
There are many tools and methods for cyber-attacking and all that is also known as mode of crime. The common tools are, hacking, phishing, service attack, spoofing and piracy of software (Zhang and Zhu, 2019). All of this is very common and some of them can provide big losses in the internal cyber system.
Some common examples have been delivered in the following list.
In various ways cybercrime can be attacked.
There are different types of digital cyber tools which influence cybercrime.
Category of the analysis
There are many types of cyber-attack and some of them have been shortened to the common ten attacking category.
In the following part the cause of this type of cyber-attack has been described. Cyber risk also depends on the firm size. The fraud or hacker mainly searches for the assets of the firm and assets in digital form. Most of the cyber-attack are attempt by the raider are,
The roots can be insider or outsider. The insider factors are,
Some outsider factors have been found out in IAG.
Identification and description of root
Computer cybercrime has an impact in Insurance Australia Group Company and a big risk has been found in their financial statement. Mainly the root identification needs some different planning or strategy. The planned strategy has to be reliable for every working person and also must be a good result provider. Thai Australia Insurance Company has followed some steps to identify the cybercrime root, those described in the following list (Malavasi et al. 2022). Basic step was before the starting step was planned by the management.
Chronology
After starting the networking connection with the fraud the CFO of this IAG business was forged about to drop down the information of their business. From this the attacker composed he forgot mail and got all the details about future investment. The fraud has created phishing mail with some rough account or link (Welburn and Strong, 2019). The CEO of IAG has used Malware. They have found the attacker sent a Phishing mail to him through the ransom software. After tracking all details by the attacker, the technology structure of security has gone through the glitch. Security locks are broken in a complicated way that anybody cannot find the way. After using the forget mail the attacker has transferred all the investment into a rogue bank account. Which cannot be easily tracked. It has been understood that the fraud is closely related to credit card crime.
Differentiation of the cause
In recent times online gaming has become most popular to attack and this is also easy for the fraud to get the details by hacking. Phishing attack methods have different and huge backgrounds all can provide detail very easily, but getting them detail is not so easy. For this part the management should build a strategy to track the Root (Pavlík, 2018). Here in IAG Company occurred strategy has implied the details about Phishing mail hacking strategy. The business auditing information was hacked in the first step. In that case the detail said Audit information IDS hacked to logging inside the networking structure.
Analysis
The phishing mail has provided threads on the detail of sensitive data area, credential logging portfolio, audit logging detail and financial data of the company. This also impacted on the graph of the IAG business (Zhang et al. 2020). This factor hampers the analysis factor of internal processes and creates distribution in other nal structures. For that the internal information has leaked in the outside of business which impacts on the consumer trust.
Threat Actors of Email Phishing Attack
Phishing mail is the oldest method or process for cyber criminals. But this process can still have a deep impact on business or network structure. There are a variety of attackers for the leverage and tactics where the emails are in the main target position.
Cyber risk analysis and justification
For the cyber risk analysis the data collection should be followed at the first time and it should be kept in mind that the data must be admitted to the market or industry. Previous prospective goal detail should be analyzed and after a cyber-attack the detail is incurable to conduct in goal determination that must be evaluated by the management team. Development of the code provides the analysis of the thematic process (Dambra, Bilge and Balzarotti, 2020). Each of the insurance dockets will consist of a different zipped file.
Every additional supporting detail provides the document for exams every investigation principle.
The main motive for hacking is to gain money but the way or process is different for every fraud. In IAG the fraud has gained important detail and which can proceed to have a bad impact in the market. This IAG Company needs cyber security which can protect their network connection from threads of cyberspace. IAG has taken cyber insurance; this was the strategy of their business manager (Evans, 2019). A business cyber-attack just does not provide theft to the business process it also impacts every individual those are attached with the business.
NIST is a framework of cyber security which provides a powerful tool to the organization. This is the best practice to improve in business. This framework has five functions all are going to describe as per the IAG Company in the following part.
For this project there are many different parts of evaluation, one is cost calculation of business risk. For this their frequency and severity has been evaluated. All these factors provide details about the business cost and risk. After getting the details the CEO of this firm will be held full. In excel the risks are evaluated properly with a regression method. Total cyber risk will be implicated in this mathematical section.
The chart has implications for every different factor impact. Also sensibility analysis has been done in excel this helps to understand how different cost and loss input impact on cyber cost output.
Pros of the Framework
Here IAG business will get different and strong benefits which will increase the security system.
Cons of the Framework
The NIFT framework also provides some disruption in business which can be despite the business structure.
Recommendations
IAG businesses need strong protection and for that the CEO of the business should consider all the benefits and problem factors of their business.
According to this project here the cybercrime has been analyzed with various factors in various ways. Cyber-crime is very effective in present days, this makes distribution between networking systems. Only the firm and business are affected by this. It is not true that the individual person is also affected by this crime. Here in this project the Insurance Australia Group has been chosen to understand the project. Before a few years this business has faced a cyber-attack, in which they have lost a big portion of their business detail and information. At first the types of cybercrime have been described and the source of the attackers also described here. For this type of attack how the business can be affected has been said and how the problem can be accessed or be solved all detail has been provided. From this project it has been understood that every business and individual needs to be aware about cybercrime.
Journal
Dambra, S., Bilge, L. and Balzarotti, D., 2020, May. SoK: Cyber insurance–technical challenges and a system security roadmap. In 2020 IEEE Symposium on Security and Privacy (SP) (pp. 1367-1383). IEEE.
Egan, R., Cartagena, S., Mohamed, R., Gosrani, V., Grewal, J., Acharyya, M., Dee, A., Bajaj, R., Jaeger, V.J., Katz, D. and Meghen, P., 2019. Cyber operational risk scenarios for insurance companies. British Actuarial Journal, 24.
Evans, A., 2019. Managing cyber risk. Routledge.
Falco, G., Eling, M., Jablanski, D., Miller, V., Gordon, L.A., Wang, S.S., Schmit, J., Thomas, R., Elvedi, M., Maillart, T. and Donavan, E., 2019, June. A research agenda for cyber risk and cyber insurance. In Workshop on the Economics of Information Security (WEIS).
Lau, P., Wang, L., Liu, Z., Wei, W. and Ten, C.W., 2021. A coalitional cyber-insurance design considering power system reliability and cyber vulnerability. IEEE Transactions on Power Systems, 36(6), pp.5512-5524.
Malavasi, M., Peters, G.W., Shevchenko, P.V., Trück, S., Jang, J. and Sofronov, G., 2022. Cyber risk frequency, severity and insurance viability. Insurance: Mathematics and Economics.
Mazzoccoli, A. and Naldi, M., 2020. Robustness of optimal investment decisions in mixed insurance/investment cyber risk management. Risk Analysis, 40(3), pp.550-564.
Mazzoccoli, A. and Naldi, M., 2021. Optimal investment in cyber-security under cyber insurance for a multi-branch firm. Risks, 9(1), p.24.
Nolan, C. and Fixler, A., 2021. The economic costs of cyber risk. Foundation for Defense of Democracies.
Orlando, A., 2021. Cyber risk quantification: Investigating the role of cyber value at risk. Risks, 9(10), p.184.
Pal, R., Huang, Z., Lototsky, S., Yin, X., Liu, M., Crowcroft, J., Sastry, N., De, S. and Nag, B., 2021. Will catastrophic cyber-risk aggregation thrive in the IoT age? A cautionary economics tale for (re-) insurers and likes. ACM Transactions on Management Information Systems (TMIS), 12(2), pp.1-36.
Pavlík, L., 2018. Possibilities of modelling the impact of cyber threats in cyber risk insurance. In MATEC Web of Conferences. EDP Sciences.
Radanliev, P., De Roure, D., Cannady, S., Montalvo, R.M., Nicolescu, R. and Huth, M., 2018. Economic impact of IoT cyber risk-analysing past and present to predict the future developments in IoT risk analysis and IoT cyber insurance.
Sheehan, B., Murphy, F., Kia, A.N. and Kiely, R., 2021. A quantitative bow-tie cyber risk classification and assessment framework. Journal of Risk Research, 24(12), pp.1619-1638.
Welburn, J.W. and Strong, A.M., 2019. Systemic cyber risk and aggregate impacts. Risk Analysis.
Xu, M. and Hua, L., 2019. Cybersecurity insurance: Modeling and pricing. North American Actuarial Journal, 23(2), pp.220-249.
Zhang, R. and Zhu, Q., 2019. $\mathtt {FlipIn} $: A Game-Theoretic Cyber Insurance Framework for Incentive-Compatible Cyber Risk Management of Internet of Things. IEEE Transactions on Information Forensics and Security, 15, pp.2026-2041.
Zhang, X., Lashkari, A.H., Maleki, N., Mudge, J. and Ghorbani, A.A., 2019. Probabilistic classification for industrial cyber risk using deep neural network. In Proceedings of the 2019 International Conference on Security and Management, Las Vegas (Vol. 2, pp. 208-215).
Zhang, Y., Wang, L., Liu, Z. and Wei, W., 2020. A cyber-insurance scheme for water distribution systems considering malicious cyberattacks. IEEE Transactions on Information Forensics and Security, 16, pp.1855-1867.
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