Types of security threats and threat solutions

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Secure Threat Solution

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Secure Threat Solution

The extensive software system has experience security threats over the years. The threats can originate from within and outside the system. It is essential to identify the type of security threat and define the solution that mitigates it. The article discusses the solution for the following security threats; malware, denial of service, and phishing.

Malware

This malicious software is a program designed to inflict harm on a computer—malware comes in different forms. A computer user can ensure that their network and computer are malware-free by using the two main methods: protective tools and personal vigilance. Malware security protective tools include an excellent design anti-virus. A good design anti-virus has several abilities like; updating to its latest version and detecting the latest threat, and it scans the computer to reorganize and mitigate any malware detected, detect and warns against any malware threat. also, it should be easy to install. The other method is personal vigilance, the first line of defense against malware. Malware is spread mainly via emails. A computer user should be aware of emails that require passwords or friendly emails. Sometimes even downloads from legitimate sites may have malware attached, so the best solution (Dychka et .al 2019).

Denial of Service

When a denial-of-service attack, several methods can mitigate the DoS severity. The methods include DNS sinkholes, which rout traffic to working IP and reject the faulty packets, which are ineffective for a severe attack. Another method is Blackholings, and it routes offending traffic to null servers where they can cause no harm. Another method is the firewall, which is best for blocking the offending IP address. They also block legitimate requests through the offending IP address. The other method is Intrusion Prevention System. They are made to identify the illegitimate request and deny them. Another method is the DoS defense system, they are the same as the Intrusion prevention system. They are designed to prevent suspicious request that seems legitimate (Hebert & Cerbo, 2019)

Phishing

They are a standard method of attack but avoidable if computer user knows how to identify, prevent and correct them. The computer user must know what phishing looks like, and they need to avoid clicking on any link that appears on the screen. Getting anti-phishing ads is also advisable since they are available and accessible. A computer user should develop a habit of rotating passwords regularly and install firewalls that help in preventing external attacks (Adebowale et,.al 2019)

References

Dychka, I., Chernyshev, D., Tereikovskyi, I., Tereikovska, L., & Pogorelov, V. (2019). Malware detection using Artificial Neural Networks. Advances in Computer Science for Engineering and Education II, 3–12.

Hebert, C., & Di Cerbo, F. (2019). Secure blockchain in the enterprise: A methodology. Pervasive and Mobile Computing, 59, 101038.

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Security systems

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Security systems

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Types of threat to a secure system

Cyber-security is very important to systems. It helps to protect the organization’s data and keep it safe from hackers. However, in some cases, there occur some threats which might threaten the security systems. These threats are not good and can lead to damage or massive losses in the organization. The following three threats will be discussed; malware, denial of service and phishing.

Malware

Malware can be simply defined as malicious software such as worms, spyware, viruses and ransom ware. Malware is often activated when an individual clicks on a malicious attachment or link. These links or attachments lead to installing of unwanted and dangerous software (Gupta, 2020). Research explains that malware once activated can lead to the following; installation of additional dangerous software, blockage of access of important network components, disruption of individual parts making the system difficult to operate and also covertly getting information by transmitting data from the hard drive. In most cases, malware comes from social engineering. Social engineering is a situation where an individual wants to give away his or her personal information. Another source of malware is emails and fake downloads.

Denial of Service

Denial of service can be simply explained as a type of cyber-attack that floods a network or a computer which later makes it impossible to respond to requests. A distributed denial of service does the same thing but in this case the attack comes from the computer network. Cyber hackers often employ a flood attack to derange the handshake procedure and carry out denial of service (Haque, 2021). Other techniques may be employed as well to carry out denial of service and in most cases cyber hackers use the time that a network is damaged to launch other attacks. This is a serious threat to a secure system which needs to be addressed.

Phishing

In simple terms, phishing is defined as any effort to fraudulently solicit personal data from a person or a company. In other cases phishing can be any effort to deliver malicious software, by pretending to be a trustworthy organization or business entity (Basit, 2021). In short, phishing uses fake communication such as invoices or emails to trick the receiver into opening it and doing the operations inside such as giving out a credit card number. It is important to note that the main goal of phishing is to steal sensitive data like log in information or credit card or to install malware on the individual’s machine.

References

Basit, A., Zafar, M., Liu, X., Javed, A. R., Jalil, Z., & Kifayat, K. (2021). A comprehensive survey of AI-enabled phishing attacks detection techniques. Telecommunication Systems, 76(1), 139-154.

Gupta, R., Tanwar, S., Tyagi, S., & Kumar, N. (2020). Machine learning models for secure data analytics: A taxonomy and threat model. Computer Communications, 153, 406-440.

Haque, M., & Krishnan, R. (2021). Toward automated cyber defense with secure sharing of structured cyber threat intelligence. Information Systems Frontiers, 23(4), 883-896.

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