A Fake Online Repository Generation Engine for Cyber Deception

Chakraborty, Tanmoy; Jajodia, Sushil; Katz, Jonathan; Picariello, Antonio; Sperlí, Giancarlo; Subrahmanian, V. S.

doi:10.1109/tdsc.2019.2898661

Cited by 37 publications

(31 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Karjalaninen et al [36] suggested that, since members of medical institutions are always at risk of HIS accidents when on duty, training should be conducted such that these accidents can always be recognized. Today, not only medical institutions but also major corporations and government organizations are facing the reality that they may be hacked [37], so information security policies should be implemented for each institution to ensure information security. As for the results of our study, medical institutions can also strengthen their HIS behavior by providing empirical guidelines and ensuring that their institution workers remain familiar with them by checking relevant details within OCS, PACS, and EMR after work…”

Section: Discussionmentioning

confidence: 99%

Structural Model of the Healthcare Information Security Behavior of Nurses Applying Protection Motivation Theory

Lee

Seomun

2021

IJERPH

View full text Add to dashboard Cite

Background: Healthcare information includes sensitive data and, as such, must be secure; however, the risk of healthcare information leakage is increasing. Nurses manage healthcare information in hospitals; however, previous studies have either been conducted on medical workers from various other occupations or have not synthesized various factors. The purpose of this study was to create and prove a model of nurses’ healthcare information security (HIS). The hypothetical model used in this study was constructed on the basis of the protection motivation theory (PMT) proposed by Rogers. Methods: A total of 252 questionnaires scored using a five-point Likert scale were analyzed, incorporating data from nurses who had been working for more than one month in general hospitals with more than 300 beds in South Korea. The survey was conducted over a total of 30 days, from 1 to 30 September 2019. Results: The results showed that coping appraisal significantly influence HIS intentions (estimate = −1.477, p < 0.01), whereas HIS intentions significantly influence HIS behavior (estimate = 0.515, p < 0.001). A moderating effect on the association between coping appraisal and HIS intentions was found in the group of nurses who had been working for <5 years (estimate = −1.820, p < 0.05). Moreover, a moderating effect on the association between HIS intentions and HIS behavior was found in the group of nurses who had been working for <5 years (estimate = 0.600, p < 0.001). Conclusion: The results of this study can be used to develop a management plan to strengthen nurses’ HIS behavior and can be used by nursing managers as a basis for developing education programs.

show abstract

Section: Discussionmentioning

confidence: 99%

Structural Model of the Healthcare Information Security Behavior of Nurses Applying Protection Motivation Theory

Lee

Seomun

2021

IJERPH

View full text Add to dashboard Cite

show abstract

“…The recorded shadow pixels are therefore ( 1 ′ , 2 ′ ) = (2,2). Although (3,5) and (0,3) are also matched with the secret digit, they are not back elements and thus conflict with the embedding rule.…”

Section: Related Workmentioning

confidence: 99%

“…With the growing public concerns over Internet privacy and security, there is an urgent appeal for research into secure communications in massive IoT. Pioneering works include the aggregate-signcryption [1], decentralized blockchain [2], FORGE system [3], and chaotic maps [4]. In this paper, we address this issue with a novel approach based on secret image sharing.…”

Section: Introductionmentioning

confidence: 99%

A Maze Matrix-Based Secret Image Sharing Scheme with Cheater Detection

Chang

Horng

Shih

et al. 2020

Sensors

View full text Add to dashboard Cite

Secret image sharing is a technique for sharing a secret message in such a fashion that stego image shadows are generated and distributed to individual participants. Without the complete set of shadows shared among all participants, the secret could not be deciphered. This technique may serve as a crucial means for protecting private data in massive Internet of things applications. This can be realized by distributing the stego image shadows to different devices on the Internet so that only the ones who are authorized to access these devices can extract the secret message. In this paper, we proposed a secret image sharing scheme based on a novel maze matrix. A pair of image shadows were produced by hiding secret data into two distinct cover images under the guidance of the maze matrix. A two-layered cheat detection mechanism was devised based on the special characteristics of the proposed maze matrix. In addition to the conventional joint cheating detection, the proposed scheme was able to identify the tampered shadow presented by a cheater without the information from other shadows. Furthermore, in order to improve time efficiency, we derived a pair of Lagrange polynomials to compute the exact pixel values of the shadow images instead of resorting to time-consuming and computationally expensive conventional searching strategies. Experimental results demonstrated the effectiveness and efficiency of the proposed secret sharing scheme and cheat detection mechanism.

show abstract

“…Chakraborty et al [165] designed a simple but novel method to delay attackers who want to steal important documents. The authors leveraged multi-layer graphs(MLGs) to represent target documents.…”

Section: Novel Defensementioning

confidence: 99%

A Survey on Recent Advanced Research of CPS Security

et al. 2021

View full text Add to dashboard Cite

Cyber-physical systems (CPSs) are next-generation intelligent systems that integrate computing, communication, and control. Malicious attacks on CPSs can lead to both property damage and casualties. Therefore, it is worth surveying CPS security by reviewing and analyzing the latest high-quality related works. In this paper, we provide an overview of the CPS security studies from the last five years and select 142 related works from A- or B-level conferences/journals recommended by the China Computer Federation (CCF). First, we review the main contents of the selected papers and classify them into 24 topics. Then, we analyze hotspots and trends of CPS security technologies in three dimensions: (1) architecture layers (perception, network, and application); (2) application scenarios (smart grids, health care, smart transportation, smart homes, and general grids); and (3) MADC (Measure, Attack, Defense, and Control) types. Finally, we also perform a statistical analysis in terms of paper publication times, author institutes, countries, and sponsors to show the current worldwide CPS security research situation.

show abstract

A Fake Online Repository Generation Engine for Cyber Deception

Cited by 37 publications

References 18 publications

Structural Model of the Healthcare Information Security Behavior of Nurses Applying Protection Motivation Theory

Structural Model of the Healthcare Information Security Behavior of Nurses Applying Protection Motivation Theory

A Maze Matrix-Based Secret Image Sharing Scheme with Cheater Detection

A Survey on Recent Advanced Research of CPS Security

Contact Info

Product

Resources

About