Trust and Social Engineering in Human Robot Interaction: Will a Robot Make You Disclose Sensitive Information, Conform to Its Recommendations or Gamble?

Aroyo, Alexander Mois; Rea, Francesco; Sandini, Giulio; Sciutti, Alessandra

doi:10.1109/lra.2018.2856272

Cited by 61 publications

(40 citation statements)

References 34 publications

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“…Social engineering attacks may combine the different aspects previously discussed, namely: human, computer, technical, social, and physical-based. Examples of social engineering attacks include phishing, impersonation on help desk calls, shoulder surfing, dumpster diving, stealing important documents, diversion theft, fake software, baiting, quid pro quo, pretexting, tailgating, Pop-Up windows, Robocalls, ransomware, online social engineering, reverse social engineering, and phone social engineering [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. Figure 4 illustrates the classification of these attacks.…”

Section: Attacks Classificationmentioning

confidence: 99%

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Social Engineering Attacks: A Survey

2019

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The advancements in digital communication technology have made communication between humans more accessible and instant. However, personal and sensitive information may be available online through social networks and online services that lack the security measures to protect this information. Communication systems are vulnerable and can easily be penetrated by malicious users through social engineering attacks. These attacks aim at tricking individuals or enterprises into accomplishing actions that benefit attackers or providing them with sensitive data such as social security number, health records, and passwords. Social engineering is one of the biggest challenges facing network security because it exploits the natural human tendency to trust. This paper provides an in-depth survey about the social engineering attacks, their classifications, detection strategies, and prevention procedures.

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Section: Attacks Classificationmentioning

confidence: 99%

“…They cannot be prevented using software or hardware solutions as long as people are not trained to prevent these attacks. Cyber criminals choose these attacks when there is no way to hack a system with no technical vulnerabilities [3].…”

Section: Introductionmentioning

confidence: 99%

Social Engineering Attacks: A Survey

2019

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“…In addition to the explicit type of game model, researchers have established some game models based on different application scenarios [70][71][72][73][74]. Most of these game models are established with the following objectives as the ultimate goal: To establish trust relationships and increase the credibility of data, to defend against malicious attacks in the network, to help the system by choosing a better strategy, and to maximize network utility by achieving these goals [75][76][77][78][79][80][81].…”

Section: Relate Summarized Workmentioning

confidence: 99%

“…Wu et al [60] Ruan et al [61] John et al [62] Wu et al [63] Jin and van Dijk [64] Yu et al [66] Abbass et al [68] Chica et al [69] Hu et al [6] Zhu et al [70] Ding et al [71] Zhang et al [72] Aloqaily et al [74] Rishwaraj et al [75] Pouryazdan et al [76] Chen et al [77] Lorenzo et al [78] Li et al [79] Aroyo et al [80] Moghadam and Modares [81] Cui et al [28] Yin et al [26] Chen et al [27] Li et al [14] According to whether the players cooperate, the game is divided into cooperative game and non-cooperative game. The common goal of both games can maximize network utility and improve network security.…”

Section: Security Game Trust Game Othersmentioning

confidence: 99%

“…Some researchers have proposed specific game models for corresponding systems. Combining the game model with the trust relationship improves the reliability of the data in the network [75,76,80]. The introduction of the game model improves the security of the network and against external and internal attacks [14,70,72,74,77].…”

Section: Security Game Trust Game Othersmentioning

confidence: 99%

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Towards Security Joint Trust and Game Theory for Maximizing Utility: Challenges and Countermeasures

Huang

Jia

Fang

et al. 2019

Sensors

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The widespread application of networks is providing a better platform for the development of society and technology. With the expansion of the scope of network applications, many issues need to be solved. Among them, the maximization of utility and the improvement of security have attracted much attention. Many existing attacks mean the network faces security challenges. The concept of trust should be considered to address these security issues. Meanwhile, the utility of the network, including efficiency, profit, welfare, etc., are concerns that should be maximized. Over the past decade, the concepts of game and trust have been introduced to various types of networks. However, there is a lack of research effort on several key points in distributed networks, which are critical to the information transmission of distributed networks, such as expelling malicious nodes quickly and accurately and finding equilibrium between energy assumption and high transmission rate. The purpose of this paper is to give a holistic overview of existing research on trust and game theory in networks. We analyzed that network utility can be maximized in terms of effectiveness, profits, and security. Moreover, a possible research agenda is proposed to promote the application and development of game theory and trust for improving security and maximizing utility.

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Me and My Robot - Sharing Information with a New Friend

Heuer

Schiering

Gerndt

2019

Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data

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This paper investigates user perception regarding social robots and personal information disclosure. During a study two participant groups stated their attitude towards functionality, shared personal information and the interest of transparency and intervenability. The impact of technical background knowledge regarding users attitude and perception was examined. Participants working with robots have a more open-minded attitude to share personal information achieving a wider range of functionality. Both groups care about transparency of collected data and the possibility of intervenability.

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Trust and Social Engineering in Human Robot Interaction: Will a Robot Make You Disclose Sensitive Information, Conform to Its Recommendations or Gamble?

Cited by 61 publications

References 34 publications

Social Engineering Attacks: A Survey

Social Engineering Attacks: A Survey

Towards Security Joint Trust and Game Theory for Maximizing Utility: Challenges and Countermeasures

Me and My Robot - Sharing Information with a New Friend

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