Phishing—A Cyber Fraud: The Types, Implications and Governance

Ali, Mazurina Mohd; Zaharon, Nur Farhana Mohd

doi:10.1177/10567879221082966

Cited by 8 publications

(4 citation statements)

References 23 publications

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“…• Phishing: Phishing is an attack method where the perpetrator masquerades as a legitimate source, such as an email sender, in order to get access to sensitive information. 54 Almost all of the processes for Internet of Things devices will be automated, and they will operate using a request-response model. Intelligent context-aware computing to distinguish between malicious and legitimate requests will be extremely challenging to implement.…”

Section: Attacks On Application Layermentioning

confidence: 99%

“…These sniffing attacks can be used against protocols that send either passwords or data in plain text or both passwords and data in clear text. Telnet, HTTP, SMTP, NNTP, POP, FTP, and IMAP, for instance, are some of the protocols that are susceptible to the sniffer. Phishing : Phishing is an attack method where the perpetrator masquerades as a legitimate source, such as an email sender, in order to get access to sensitive information 54 . Almost all of the processes for Internet of Things devices will be automated, and they will operate using a request‐response model.…”

Section: Internet Of Things (Iot)mentioning

confidence: 99%

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A comprehensive study on cybersecurity challenges and opportunities in the IoT world

Lone

Mustajab

Alam

2023

Security and Privacy

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It has become possible to link anything and everything to the Internet in recent decades due to the expanding Internet of Things (IoT). As a result, our usage of technology has changed a lot, causing digital disruption in the real world. IoT allows drones, sensors, digital set‐top boxes, surveillance cameras, wearable technology, and medical equipment to be connected to the internet. Healthcare, manufacturing, utilities, transportation, and housing are among the various sectors that has become intelligent. Recently, we have seen a surge in cybersecurity challenges and opportunities for the improvement of various IoT applications. Although cybersecurity and the IoT are extensively researched, there is a dearth of studies that exclusively focus on the evolution of cybersecurity challenges in the area of AI and machine learning, blockchain and zero trust, lightweight security, integration of IoT with 5G networks, and many more in the IoT world. The availability of environment‐capturing sensors and internet‐connected tracking devices allows for private life surveillance and cloud data transmission. Therefore, a significant problem for researchers and developers is to ensure the CIA (Confidentiality, Integrity, and Availability) security triangle for people. This paper presents a comprehensive study of cybersecurity applications, challenges, and opportunities in the IoT world. The IoT architectural layer, attacks against the IoT layer, and related issues are highlighted. Furthermore, cybersecurity issues and challenges in IoT along with the strength and weaknesses of existing techniques are discussed in detail. Our study will provide insight into various current cybersecurity research trends in the IoT world.

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Section: Attacks On Application Layermentioning

confidence: 99%

Section: Internet Of Things (Iot)mentioning

confidence: 99%

A comprehensive study on cybersecurity challenges and opportunities in the IoT world

Lone

Mustajab

Alam

2023

Security and Privacy

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“…These emails often pretend to be from real organizations, like banks or social media platforms, and use "social engineering" techniques to trick users into doing what the hackers want [4]. Phishing attacks can lead to identity theft, loss of money, and systems that aren't secure [5]. Also, spear-phishing attacks are a more advanced type of phishing that targets specific people or organizations and often uses personal information to make the attack seem more real [6], [7].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Spam and Phishing Email Filtering Approach using Deep Learning and Bio-inspired Particle Swarm Optimization

Kumar Birthriya,

Ahlawat,

Kumar Jain

2024

IJCDS

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The exponential rise in spam and phishing emails presents a critical challenge to the privacy, security, and efficiency of users. This research introduces a deep learning model with enhanced performance over existing top-tier studies. The model's strength lies in its ability to precisely classify emails into three distinct categories: legitimate (ham), unsolicited (spam), and malicious (phishing). This research employs two sophisticated feature selection techniques to enhance classification accuracy: Principal Component Analysis (PCA) and Particle Swarm Optimization (PSO). These techniques are instrumental in identifying and extracting the most informative features from the data, which are critical for the task of categorizing emails effectively. Rigorous testing has elevated the PSO-enhanced model to a position of excellence, with an accuracy rate of 99.60%. This high degree of accuracy is a testament to the strength of deep learning in the arena of email filtering. The research confirms the value of feature selection in augmenting deep learning models, laying the groundwork for innovative defenses against email threats. The study's insights offer optimistic prospects for the advancement of more resilient email systems. Utilizing the substantial computational prowess of deep learning and the precision of feature selection techniques like PCA and PSO, the research charts a course for significantly reducing spam and phishing email incidents. As such, this research marks a significant stride in digital security, equipping stakeholders with a powerful asset in the ongoing effort to safeguard against cyber threats.

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“…They can also use social media to exploit victims' emotions, such as their fears and desires. 1 Nigeria, a country with a population of over 200 million had over 31.6 million active social media users. With most popular social media platforms with WhatsApp having over (95%) users, Facebook having over (88.8%), Facebook Messenger having over (69.9%), Instagram having over (69.4%) and Twitter having over (61.2%).…”

Section: Introductionmentioning

confidence: 99%

Cybercrime On Social Media In Nigeria: Trends, Scams, Vulnerabilities and Prevention

Oni,

Arshad,

Pham

2023

AIMS Research Publication

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Cybercrime on social media in Nigeria allow for an in-depth analysis of the role of social media in facilitating cybercrime activities in Nigeria, focusing on the prevalent scams, tactics used by cybercriminals, and the vulnerabilities that individuals and organizations face. It would also provide an opportunity to delve into the specific case studies, such as advance fee fraud, romance scams, and phishing, as well as exploring additional examples and their implications. By examining the impact of social media on cybercrime in Nigeria, this research contributes to a better understanding of the evolving nature of cyber threats in the digital landscape. It would also shed light on the specific challenges faced by Nigerian society, particularly with the high number of social media users in the country. Furthermore, the research proposes recommendations and strategies to enhance cybersecurity awareness, digital ethics, and protective measures for individuals, businesses, and policymakers to mitigate the risks associated with cybercrime. Keywords: Cybercrime, Social Media, Nigeria, Trends, Scams, Vulnerabilities, Prevention Proceedings Citation Format Oni Damilola, Arshad Emmanuel & Pham Bich Ngoc (2023): Cybercrime On Social Media In Nigeria: Trends, Scams, Vulnerabilities and Prevention. Proceedings of the Cyber Secure Nigeria Conference. Nigerian Army Resource Centre (NARC) Abuja, Nigeria. 11-12th July, 2023. Pp 143-150. https://www.csean.org.ng/. dx.doi.org/10.22624/AIMS/CSEAN-SMART2023P17

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Phishing—A Cyber Fraud: The Types, Implications and Governance

Cited by 8 publications

References 23 publications

A comprehensive study on cybersecurity challenges and opportunities in the IoT world

A comprehensive study on cybersecurity challenges and opportunities in the IoT world

An Efficient Spam and Phishing Email Filtering Approach using Deep Learning and Bio-inspired Particle Swarm Optimization

Cybercrime On Social Media In Nigeria: Trends, Scams, Vulnerabilities and Prevention

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