Research Paper on Cybersecurity Advances

Introduction

Cybersecurity involves the protection of internet systems such as software and organisational data, hardware, and malware from cyberattacks. Cybersecurity and physical security are used to protect firms from unauthorised access to data and confidential information. Artificial intelligence practises of protecting networks and programs from cyberattacks with intentions of accessing, changing, and destroying essential data and disrupting the regular progress of businesses. Many organisations have developed a framework to deal with any attempt and successful cyberattack. Technology has dramatically impacted the protection of endpoint devices such as computers, cloud, network and smartphones from cyberattack by use of firewalls, malware and antivirus programmes (Wee, Bashir, & Memon, 2016). There exist many current, developed cybersecurity advancements like blockchain and machines, but the best progress ever is artificial intelligence. This advancement has many merits in cybersecurity as compared to any improved cybersecurity ever in past decades.

First, powered artificial intelligence biometrics can identify, measure while analysing the physical and the facial features which human beings are not able to notice. Artificial intelligence helps to identify all criminals planning for a robbery theft of data and assist the local security forces block it before any successful attempt of data theft ( Li, & Zhang, 2017). The biometrics can work together with text analytics and also natural language processing in identifying the potential threats from external sources. They analyse large and complex data and understand sentence structure and its aim.

Artificial intelligence is the best in making a prediction and assesses the extent of the risk and the caused damage in a given scenario. The organisational teams can intervene to provide aid for the firms who need it most ( Li, & Zhang, 2017). The data extrapolation, image recognition and classification is done by artificial intelligence with a lot of higher speeds, using data from satellites.

The artificial intelligence never takes a day off. This advancement never gets tired after successful and long hours of doing work continuously. Thus, it helps in performing any task with the maximum and recommended efficiency, and the best rate for quality services. Avoidance of data attackers is ideal protection that stops the incidence from happening at any given point. Hence, a faster response to any attack is crucial to minimise the attack and recover any effect caused. Artificial intelligence is, therefore, quicker and quick in responding to system attack.

Artificial intelligence is swift in spotting threats (Dilek, Cakir, & Aydin,2015). Spotting threats, when enforced provides the real-time response to any attack to system data and software, the system's algorithms have a scope which is restricted and with difficulty in keeping the pace with fast development and current mutations posed by the new threat developers.

The artificial intelligence advancement also boosts the scale of threat resistance to firms private information and systems hardware. The improvement increases the impact of the system in the ongoing attacks caused by cybercrimes from individuals to steal data and damage critical pieces of information. The chances of the cyber attack to obtain information from organisations using the number of data storing devices such as computers and smartphones become minimised with the use of artificial intelligence (Dilek, Cakir, & Aydin,2015).This increased scale of threat attack will enable in the counter of any incoming and potential threat with the ability to extract and delete files containing essential and private information.

Conclusion

Advantages of artificial intelligence offer a promising future in curbing cyber attacks to documented data and days of cloud systems. Artificial intelligence will see a changed world future days and even decades in cyberattacks. Artificial intelligence is already incorporated in all security solutions for surveillance and alarming to provide the control of any attacks anywhere. It has already become the recommended new market threat attack.

References

Dilek, S., Cakir, H., & Aydin, M. (2015). Applications of artificial intelligence techniques to combating cyber crimes: A review. arXiv preprint arXiv:1502.03552.

Li, X., & Zhang, T. (2017, April). An exploration on artificial intelligence application: From security, privacy and ethic perspective. In 2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA) (pp. 416-420). IEEE.

Wee, C., Bashir, M., & Memon, N. (2016). The Cybersecurity Competition Experience: Perceptions from Cybersecurity Workers. In Twelfth Symposium on Usable Privacy and Security ({SOUPS} 2016).