A Review on the Mechanism Mitigating and Eliminating Internet Crimes using Modern Technologies

Author:

Khadim Sahar,Ali Hassen Oday,Ibrahim Hussein

Abstract

There is no doubting that contemporary technology creates new hazards, and these threats are many and significant, directly harming people's lives and threatening their stability. Because of the increased use of computers and Internet-connected cellphones in recent years, the problem of cybercrime has expanded substantially. Unquestionably, this kind of crime is now a reality that jeopardizes people's reputations and lives, therefore we must be aware of it to prevent being a victim. The exponential growth in internet connectedness is closely tied to a rise in cyberattack incidences, frequently with significant consequences. Malware is the weapon of choice for carrying out malicious intent in cyberspace, whether by exploiting pre-existing flaws or exploiting the unique properties of new technology. There is an urgent need in the cybersecurity area to develop more inventive and effective virus defense techniques. To do this, we first give an overview of the most often exploited vulnerabilities in the current hardware, software, and network layers. This follows criticism of the most recent mitigation efforts and the reasons why they may or may not be helpful. Following that, We'll talk about new attack methods for cutting-edge technologies including social networking, cloud computing, mobile technology, as well as critical infrastructure. We conclude by sharing our speculative findings on potential future research avenues.

Publisher

Wasit University

Subject

Industrial and Manufacturing Engineering,Materials Science (miscellaneous),Business and International Management

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Developing the Role of Firewalls in Enhancing Web Security for Wireless Networks;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

2. Ensemble-Based Deep Learning Models for Enhancing IoT Intrusion Detection;Applied Sciences;2023-11-02

3. Assessing the Landscape of Mobile Data Vulnerabilities: A Comprehensive Review;2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES);2023-04-28

4. Machine Learning for Healthcare-IoT Security: A Review and Risk Mitigation;IEEE Access;2023

5. Efficient Data Collaboration Using Multi-Party Privacy Preserving Machine Learning Framework;IEEE Access;2023

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