A Review on Cyber Security and Cyberattacks

Authors

  • G. P Gawali

DOI:

https://doi.org/10.46243/jst.2021.v6.i04.pp312-317

Keywords:

algorithms, cyber-security, cyber-attack, security, machine learning

Abstract

The cybercrimes have become very common and the cyber-attack is the buzzword in today’s world. Cybercrimes are increasing every hour and the intensity of loss is also increasing rapidly. To provide security to defend cyber-attacks has become more important phenomena in this digital world. Ensuring cyber-security is a verycomplex task, it requires a thorough understanding of the attacks, attackers mind and the capability of analyzing the possibility of threats. The main challenge of cybersecurity is the progressive nature of the attacks. The proposed paper is an attempt to present the importance of cyber-security with associated various risks that are present in the current digital world. The study was done on the different cyber-attacks and the results shows the intensity of these different attacks.In this paper the various cyber-security threats are presented with the MLA (machine learning algorithms) that can be applied to analyze cyber-attacks.

References

Trustwave Global Security. Report retrieved from:https://www2.trustwave. com/ rs /8 15- R FM 693 /i ma ge s/ 20 15_ TrustwaveGlobalSecurityReport.pdf A Review on Cyber Security and Cyberattacks _________________________________________________________________________________

International Organization for Standardization. ISO/IEC 27032:2012. Information technology—Security techniques—Guidelines for cybersecurity

Chowdhury, “Recent cybersecurity attacks and their mitigation approaches–An Overview,” International conference on applications and techniques in information security, Springer, Singapore. 2016; pp 54-65

Fischer EA,“Creating a national framework for cybersecurity: an analysis of issues and options.” Technical report. Congressional Research Service. 2005

The Open Web Application Security Project OWASP Top ten most critical web application security risks. The OWASP Foundation. 2018

Check Point Mobile Threat Research Publications. 2017. Available Online: https:// research.checkpoint.com/ check-point- mobileresearch-team-looks-back-2017/

Cyber Attack Trends Analysis Key Insights to Gear Up for in 2019. Available Online:http://www.snt.hr/ boxcontent/ CheckPointSecurtyReport2019_vol01.pdf

Li Qian, Zhenyuan Zhu, Jun Hu, and Shuying Liu, "Research of SQL injection attack and prevention technology," 2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF), 2015, pp. 303-306, doi: 10.1109/ICEDIF.2015.7280212

Vayansky, Ike & Kumar, Sathish, “Phishing–challenges and solutions”, Computer Fraud & Security. 2018. 15-20. 10.1016/S1361- 3723(18)30007-1

M. Conti, N. Dragoni and V. Lesyk, "A Survey of Man In The Middle Attacks," in IEEE Communications Surveys & Tutorials, vol. 18, no. 3, pp. 2027-2051, third quarter 2016, doi: 10.1109/COMST.2016.2548426

Z. Chao-yang, "DOS Attack Analysis and Study of New Measures to Prevent," International Conference on Intelligence Science and Information Engineering, 2011, pp. 426-429, doi: 10.1109/ISIE.2011.66

Hsu W.C., Yu T.Y,“E-mail spam filtering based on support vector machines with Taguchi method for parameter selection”, J Converg Inf Technol 2010. 5(8):78–88

Caruana G., Li M., Qi M,“A MapReduce based parallel SVM for large scale spam filtering”, In: IEEE eighth international conference on fuzzy systems and knowledge discovery (FSKD), 2011; pp 2659–2662

Dhaya R., Poongodi M,“Detecting software vulnerabilities in android using static analysis”, 2015; pp 915–918

Markel Z., Bilzor M,“Building a machine learning classifier for malware detection”, In: Second workshop on anti-malware testing research (WATeR). IEEE. Canterbury. UK. 2015. [16]Shijo P.V., Salim A,“Integrated static and dynamic analysis for malware detection”, Procedia Comput Sci. 2015; 46:804–811

Divya S., Padmavathi G,“A novel method for detection of internet worm malcodes using principal component analysis and multiclass support vector machine”, Int J Secur Appl. 2014; 8(5):391–402

Santhana Lakshmi V., Vijaya M.S.,“Efficient prediction of phishing websites using supervised learning algorithms”, Procedia Eng. 2012; 30:798–805

Published

2021-08-16

How to Cite

Gawali, G. P. (2021). A Review on Cyber Security and Cyberattacks. Journal of Science & Technology , 6(Special Issue 1), 312–317. https://doi.org/10.46243/jst.2021.v6.i04.pp312-317