Power Analysis Attacks on Blinding Countermeasure against Horizontal CPA

Lee, Sangyub; Kim, Tae−Won; Kim, Hee Seok; Hong, Seokhie

doi:10.13089/jkiisc.2015.25.4.727

Cited by 2 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As an emerging technology, AI virtual assistants remain in the initial stage of technology innovation, and its immature function and inaccurate response to user commands lead to user discomfort on its failure and mistakes in completing tasks (Pyae & Joelsson, 2018). AI virtual assistants collect and process user information via AI algorithms and stored in the cloud, causing user concern on information security (Lee et al, 2018). When the perceived risk of a user is strong, the behavioral intention to use AI virtual assistants is low, suggesting that user perceived risk will hinder the acceptance of AI technology (Liu et al, 2019; Zhang et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

“…AI virtual assistants offer convenience and flexibility to users; however, they also give rise to trust and risk concerns that can hinder their acceptance (Ostrom et al, 2019). Users are concerned with the continuous recording of their voices in personal spaces (e.g., home and office) and the handling and protection of their collected information (Lee et al, 2018). Additionally, users may feel uncertain regarding the unpredictable performance of AI virtual assistants, such as a lack of feedback or performance failures (Pyae & Joelsson, 2018).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

More trust or more risk? User acceptance of artificial intelligence virtual assistant

Xiong,

Shi,

et al. 2023

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

Artificial intelligence (AI) virtual assistants are rapidly growing, permeating people's daily lives and work. However, some trust and risk issues prevent the acceptance and use of AI virtual assistants by users. Thus, understanding the roles of trust and perceived risk in user acceptance of AI virtual assistants is crucial. This study develops a comprehensive research model based on unified theory of acceptance and use of technology (UTAUT) to explain user acceptance of AI virtual assistants. This model extends UTAUT by adding users' perception of trust and risk. The research model and hypotheses are validated through structural equation modeling with a sample of 926 AI virtual assistant users. Results show that gender is significantly related to behavioral intention to use, education is positively related to trust and behavioral intention to use, and usage experience is positively related to attitude toward using. UTAUT variables, including performance expectancy, effort expectancy, social influence, and facilitating conditions, are positively related to behavioral intention to use AI virtual assistant. Trust and perceived risk respectively have positive and negative effects on attitude toward using and behavioral intention to use AI virtual assistants. Trust and perceived risk play equally important roles in explaining user acceptance of AI virtual assistants. Theoretical and practical implications of the current AI virtual assistant acceptance model and directions for future research are discussed.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

More trust or more risk? User acceptance of artificial intelligence virtual assistant

Xiong,

Shi,

et al. 2023

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

show abstract

“…5. Anti-aircraft operation procedure of combat system [34] 유의미한 성과를 거둔 사례를 확인할 수 있었다 [46][47][48][49] .…”

Section: 함정 전투체계 보안 연구unclassified

A Study on Security Requirements of Shipboard Combat System based on Threat Modelling

Yun¹,

Shon²

2023

J. KIMS Technol

View full text Add to dashboard Cite

The shipboard combat system is a key system for naval combat that supports a command and control process cycle consisting of Detect - Control - Engage in real time to ensure ship viability and conduct combat missions. Modern combat systems were developed on the basis of Open Architecture(OA) to maximize acceptance of latest technology and interoperability between systems, and actively introduced the COTS(Commercial-of-the-shelf). However, as a result of that, vulnerabilities inherent in COTS SW and HW also occurred in the combat system. The importance of combat system cybersecurity is being emphasized but cybersecurity research reflecting the characteristics of the combat system is still lacking in Korea. Therefore, in this paper, we systematically identify combat system threats by applying Data Flow Diagram, Microsoft STRIDE threat modelling methodology. The threats were analyzed using the Attack Tree & Misuse case. Finally we derived the applicable security requirements which can be used at stages of planning and designing combat system and verified security requirements through NIST 800-53 security control items.

show abstract

Power Analysis Attacks on Blinding Countermeasure against Horizontal CPA

Cited by 2 publications

References 15 publications

More trust or more risk? User acceptance of artificial intelligence virtual assistant

More trust or more risk? User acceptance of artificial intelligence virtual assistant

A Study on Security Requirements of Shipboard Combat System based on Threat Modelling

Contact Info

Product

Resources

About