Global Pandemics Influence on Cyber Security and Cyber Crimes
- URL: http://arxiv.org/abs/2302.12462v1
- Date: Fri, 24 Feb 2023 05:26:42 GMT
- Title: Global Pandemics Influence on Cyber Security and Cyber Crimes
- Authors: Somya Khatri, Aswani Kumar Cherukuri and Firuz Kamalov
- Abstract summary: COVID-19 has caused widespread damage across many areas of life and has made humans more dependent on the internet and technology.
This paper examines the different types of security threats and cyber crimes that people faced in the pandemic time and the need for a safe and secure cyber infrastructure.
- Score: 5.8010446129208155
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: COVID-19 has caused widespread damage across many areas of life and has made
humans more dependent on the internet and technology making us realize the
importance of secure remote working environments. While social separation is
encouraged during moments of lockdown, online infrastructure has become the
central focus for communication, commerce, working, and learning, creating a
new challenge and trend for companies to adopt new methods and operating
models. The cases of cyber-attacks increased, and fraudsters and cybercriminals
took use of this to intensify their illegal activities by taking advantage of
remote workers' vulnerabilities and the public's interest in information about
the coronavirus. This paper examines the different types of security threats
and cyber crimes that people faced in the pandemic time and the need for a safe
and secure cyber infrastructure. This paper attempts to analyze the security
implications of the issues.
Related papers
- Trustworthy Federated Learning: Privacy, Security, and Beyond [37.495790989584584]
Federated Learning (FL) addresses concerns by facilitating collaborative model training across distributed data sources without transferring raw data.
We conduct an extensive survey of the security and privacy issues prevalent in FL, underscoring the vulnerability of communication links and the potential for cyber threats.
We identify the intricate security challenges that arise within the FL frameworks, aiming to contribute to the development of secure and efficient FL systems.
arXiv Detail & Related papers (2024-11-03T14:18:01Z) - Countering Autonomous Cyber Threats [40.00865970939829]
Foundation Models present dual-use concerns broadly and within the cyber domain specifically.
Recent research has shown the potential for these advanced models to inform or independently execute offensive cyberspace operations.
This work evaluates several state-of-the-art FMs on their ability to compromise machines in an isolated network and investigates defensive mechanisms to defeat such AI-powered attacks.
arXiv Detail & Related papers (2024-10-23T22:46:44Z) - Navigating the road to automotive cybersecurity compliance [39.79758414095764]
The automotive industry is compelled to adopt robust cybersecurity measures to safeguard both vehicles and data against potential threats.
The future of automotive cybersecurity lies in the continuous development of advanced protective measures and collaborative efforts among all stakeholders.
arXiv Detail & Related papers (2024-06-29T16:07:48Z) - Security in IS and social engineering -- an overview and state of the art [0.6345523830122166]
The digitization of all processes and the opening to IoT devices has fostered the emergence of a new formof crime, i.e. cybercrime.
The maliciousness of such attacks lies in the fact that they turn users into facilitators of cyber-attacks, to the point of being perceived as the weak link'' of cybersecurity.
Knowing how to anticipate, identifying weak signals and outliers, detect early and react quickly to computer crime are therefore priority issues requiring a prevention and cooperation approach.
arXiv Detail & Related papers (2024-06-17T13:25:27Z) - The New Frontier of Cybersecurity: Emerging Threats and Innovations [0.0]
The research delves into the consequences of these threats on individuals, organizations, and society at large.
The sophistication and diversity of these emerging threats necessitate a multi-layered approach to cybersecurity.
This study emphasizes the importance of implementing effective measures to mitigate these threats.
arXiv Detail & Related papers (2023-11-05T12:08:20Z) - knowCC: Knowledge, awareness of computer & cyber ethics between CS/non-CS university students [0.0]
This research focuses on the relations between cybersecurity awareness, cyber knowledge, computer ethics, cyber ethics, and cyber behavior.
The findings express that while internet users are alert of cyber threats, they only take the most elementary and easy-to-implement precautions.
arXiv Detail & Related papers (2023-10-19T12:29:26Z) - Critical Analysis and Countermeasures Tactics, Techniques and Procedures (TTPs) that targeting civilians: A case study On Pegasus [0.0]
This paper investigates the targeting of journalists and activists by the malware Pegasus.
Examines the far-reaching consequences of these attacks for cybersecurity policy.
Describes some of the most important tactics that businesses may use to reduce the danger of cyberattacks.
arXiv Detail & Related papers (2023-10-01T19:28:03Z) - Graph Mining for Cybersecurity: A Survey [61.505995908021525]
The explosive growth of cyber attacks nowadays, such as malware, spam, and intrusions, caused severe consequences on society.
Traditional Machine Learning (ML) based methods are extensively used in detecting cyber threats, but they hardly model the correlations between real-world cyber entities.
With the proliferation of graph mining techniques, many researchers investigated these techniques for capturing correlations between cyber entities and achieving high performance.
arXiv Detail & Related papers (2023-04-02T08:43:03Z) - Proceedings of the Artificial Intelligence for Cyber Security (AICS)
Workshop at AAAI 2022 [55.573187938617636]
The workshop will focus on the application of AI to problems in cyber security.
Cyber systems generate large volumes of data, utilizing this effectively is beyond human capabilities.
arXiv Detail & Related papers (2022-02-28T18:27:41Z) - Remote Working Pre- and Post-COVID-19: An Analysis of New Threats and
Risks to Security and Privacy [1.712670816823812]
Millions across the globe have been forced to work remotely during the coronavirus pandemic.
Lack of remote-working security training, heightened stress and anxiety, rushed technology deployment, and the presence of untrusted individuals in a remote-working environment can result in new cyber-risk.
As organisations look to manage these and other risks posed by their remote workforces, employee's privacy is often compromised.
arXiv Detail & Related papers (2021-07-08T15:39:56Z) - Adversarial Machine Learning Attacks and Defense Methods in the Cyber
Security Domain [58.30296637276011]
This paper summarizes the latest research on adversarial attacks against security solutions based on machine learning techniques.
It is the first to discuss the unique challenges of implementing end-to-end adversarial attacks in the cyber security domain.
arXiv Detail & Related papers (2020-07-05T18:22:40Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.