A Human Dimension of Hacking: Social Engineering through Social Media

Wilcox, Heidi; Bhattacharya, Maumita

doi:10.1088/1757-899x/790/1/012040

Cited by 5 publications

(4 citation statements)

References 10 publications

(16 reference statements)

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“…They have two fold targets which are the social media users and the SMNP which they break into and control for their selfish gain [24]. On the users end, the hackers" activities make them susceptible to threats which include identity theft, evil twin, password resetting, sim cloning, brute force, fake links, phishing, information leakage, celebrity spoofing, fake account, impersonation, [25] and [26]. They also use code injection through malicious SQL script to disrupt the network.…”

Section: Literature Reviewmentioning

confidence: 99%

Untitled

2023

CSEIJ

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In machine learning, the intelligence of a developed model is greatly influenced by the dataset used for the target domain on which the developed model will be deployed. Social media platform has experienced more of hackers' attacks on the platform in recent time. To identify a hacker on the platform, there are two possible ways. The first is to use the activities of the user while the second is to use the supplied details the user registered the account with. To adequately identify a social media user as hacker proactively, there are relevant user details called features that can be used to determine whether a social media user is a hacker or not. In this paper, an exploratory data analysis was carried out to determine the best features that can be used by a predictive model to proactively identify hackers on the social media platform. A web crawler was developed to mine the user dataset on which exploratory data analysis was carried out to select the best features for the dataset which could be used to correctly identify a hacker on a social media platform.

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Section: Literature Reviewmentioning

confidence: 99%

Untitled

2023

CSEIJ

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“…Before the invention of Social Media and Social Media scraping tools, the reconnaissance process was very labour-intensive, so a social engineer would be limited to targeting a small number of people at a time (Postnikoff & Goldberg, 2018). Now social engineers can gather information on hundreds of potential targets and then develop an increased number of attacks, which increases their likelihood of being successful (Wilcox & Bhattacharya, 2019) (Gharibi & Shaabi, 2012) (Weir et al, 2011).…”

Section: Humans and Their Behavioursmentioning

confidence: 99%

“…There is no technical measure that can stop a human from making a poor information security decision, and therefore more needs to be done to mitigate the risk the human creates (McIlwraith, 2006) (Schroeder, 2017(Wilcox & Bhattacharya, 2019 (American Psychological Association, 2021). The only way to mitigate this problem is to conduct research around the human firewall and better understand the decision-making process, cognition, and what influences a person's decision-making process.…”

Section: Introductionmentioning

confidence: 99%

Including Human Behaviors into IA Training Assessment: A Better Way Forward!

Collier

2022

eccws

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Few can argue against the reality that humans are the weakest link in cybersecurity, and Social Engineers work very hard to take advantage of this human weakness. Many cybersecurity practitioners believe the only way to solve this problem is through a technical solution; however, this solution is elusive because humans are still in control and can circumvent these technical measures. In cybersecurity, the human is the critical component of the human firewall, and it is going to take a multi-disciplinary approach to solve the human problem. The human firewall is the first line of defense for cybersecurity. Historically, the primary solution to the human problem has been the Information Awareness training program, designed to teach the end-user about the risks and assess their risk. The biggest problem with the information awareness training program is that it does not modify behavior. Cybersecurity practitioners need to understand better the human firewall and how it can be strengthened. It is necessary to understand how the human makes security-minded decisions, how these decisions affect the cybersecurity decision-making process, and if there is a way to assess a person's susceptibility level more precisely when working to strengthen the human firewall. Humans are multifaceted, complex beings influenced by both internal and external factors. The most significant internal factor that affects a person's decision-making process is behavior, while Social Media is one of the most significant external factors that impact a person's decision-making capacity. This study presents a new method of assessing a person's susceptibility to cybercrime by including behavioral and social media usage factors into a Dynamic/Adaptable information awareness training assessment tool. This study shows that including human behaviors and social media usage behaviors into an Information Awareness (IA) training assessment tool produces a more precise measure of a person's accurate susceptibility level.

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“…They have two fold targets which are the social media users and the SMNP which they break into and control for their selfish gain [19]. On the users end, the hackers' activities make them susceptible to threats which include identity theft, evil twin, password resetting, sim cloning, brute force, fake links, phishing, information leakage, celebrity spoofing, fake account, impersonation, etc [20] [21] [22]. They also use code injection through malicious SQL script to disrupt the network.…”

Section: Security Measures For Social Media Networkmentioning

confidence: 99%

Social Media Network Attacks and their Preventive Mechanisms: A Review

Etuh¹,

Bakpo²,

A.H³

2021

Computing Advances &Amp; Trends

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We live in a virtual world where actual lifestyles are replicated. The growing reliance on the use of social media networks worldwide has resulted in great concern for information security. One of the factors popularizing the social media platforms is how they connect people worldwide to interact, share content, and engage in mutual interactions of common interest that cut across geographical boundaries. Behind all these incredible gains are digital crime equivalence that threatens the physical socialization. Criminal minded elements and hackers are exploiting social media platforms (SMP) for many nefarious activities to harm others. As detection tools are developed to control these crimes so also hackers’ tactics and techniques are constantly evolving. Hackers are constantly developing new attacking tools and hacking strategies to gain malicious access to systems and attack social media network thereby making it difficult for security administrators and organizations to develop and implement the proper policies and procedures necessary to prevent the hackers’ attacks. The increase in cyber-attacks on the social media platforms calls for urgent and more intelligent security measures to enhance the effectiveness of social media platforms. This paper explores the mode and tactics of hackers’ mode of attacks on social media and ways of preventing their activities against users to ensure secure social cyberspace and enhance virtual socialization. Social media platforms are briefly categorized, the various types of attacks are also highlighted with current state-of-the-art preventive mechanisms to overcome the attacks as proposed in research works, finally, social media intrusion detection mechanism is suggested as a second line of defense to combat cybercrime on social media networks.

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A Human Dimension of Hacking: Social Engineering through Social Media

Cited by 5 publications

References 10 publications

Untitled

Untitled

Including Human Behaviors into IA Training Assessment: A Better Way Forward!

Social Media Network Attacks and their Preventive Mechanisms: A Review

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