Analysis on Malware Issues in Online Social Networking Sites (SNS)

Nakerekanti, Madhu; Narasimha, V. B.

doi:10.1109/icaccs.2019.8728536

Cited by 10 publications

(5 citation statements)

References 6 publications

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“…In this paper, to express network structure in a matrix format to be integrated with GE, we employed the simplest network structure representation (NSR) [12], where n ii ∈ R N×N is 1 only when the node i and i are connected with each other and otherwise is zero.…”

Section: Methodsmentioning

confidence: 99%

Integrated Analysis of Gene Expression and Protein–Protein Interaction with Tensor Decomposition

Taguchi,

Turki

2023

Mathematics

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Integration of gene expression (GE) and protein–protein interaction (PPI) is not straightforward because the former is provided as a matrix, whereas the latter is provided as a network. In many cases, genes processed with GE analysis are refined further based on a PPI network or vice versa. This is hardly regarded as a true integration of GE and PPI. To address this problem, we proposed a tensor decomposition (TD)-based method that can integrate GE and PPI prior to any analyses where PPI is also formatted as a matrix to which singular value decomposition (SVD) is applied. Integrated analyses with TD improved the coincidence between vectors attributed to samples and class labels over 27 cancer types retrieved from The Cancer Genome Atlas Program (TCGA) toward five class labels. Enrichment using genes selected with this strategy was also improved with the integration using TD. The PPI network associated with the information on the strength of the PPI can improve the performance than PPI that stores only if the interaction exists in individual pairs. In addition, even restricting genes to the intersection of GE and PPI can improve coincidence and enrichment.

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Section: Methodsmentioning

confidence: 99%

Integrated Analysis of Gene Expression and Protein–Protein Interaction with Tensor Decomposition

Taguchi,

Turki

2023

Mathematics

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“…Pop-up ad. Utilising an invasive pop-up advertisement with a suspicious call-to-action, claiming that the user has won a prize is a hallmark of malicious advertisements (also known as malvertising) and is documented in literature as both being common on sites aiding IP infringement, and a common method malicious actors employ to attempt to gain a foothold [48,49].…”

Section: Methodsmentioning

confidence: 99%

Is cyber hygiene a remedy to IPTV infringement? A study of online streaming behaviours and cybersecurity practices

Shah,

Cemiloglu,

Yucel

et al. 2023

Preprint

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Spurred by the rapid modernisation of the sector and advent of Internet Protocol Television (IPTV), Audio visual (AV) piracy is at epidemic levels, with interventions having limited effect. The dominant theme in interventions to date have been around personal deterrence (i.e., the threat of legal action) and have not considered other factors that may influence an individual’s decision to consume infringing content. In this paper, we consider psychological factors, including perceptions around risk-taking, security behaviours, problematic internet use and personality traits to gain a comprehensive understanding of factors influencing engagement with IPTV, and the potential implications for cybersecurity. For this purpose, a survey was conducted with 283 participants living in the UK (age range 18 - 74, male 104), and an integrated structural equation model was constructed. Our findings showed a positive relationship between security behaviours and the perceived risk of viewing IPTV, and a negative relationship between the dark personality triad and perceived risk of viewing IPTV. They suggest that security behaviours fully mediate the relationship between problematic internet use and IPTV risk taking, indicating a potential new path forward for anti-piracy interventions with greater efficacy.

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“…In this paper, we employed the simplest NSR [4], where n ii ′ ∈ R N ×N is 1 only when the node i and i ′ are connected with each other and otherwise is zero.…”

Section: A Matrix Representation Of Networkmentioning

confidence: 99%

Integrated analysis of gene expression and protein-protein interaction with tensor decomposition

Taguchi

Turki

2023

Preprint

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When cancer gene expression profiles obtained from The Cancer Genome Atlas (TCGA) are integrated with protein-protein interaction (PPI) information using tensor decomposition (TD), the coincidence between clinical labeling and latent variables provided by singular value decomposition (SVD) can increase, although PPI does not obviously contain information about clinical class outcomes. This suggests that TD has the power to extract hidden structure in PPI, which has biological meaning that can help gene expression better coincide with clinical information. From a practical standpoint, integrated analysis can also improve discrimination performance using class labels to a degree.

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Analysis on Malware Issues in Online Social Networking Sites (SNS)

Cited by 10 publications

References 6 publications

Integrated Analysis of Gene Expression and Protein–Protein Interaction with Tensor Decomposition

Integrated Analysis of Gene Expression and Protein–Protein Interaction with Tensor Decomposition

Is cyber hygiene a remedy to IPTV infringement? A study of online streaming behaviours and cybersecurity practices

Integrated analysis of gene expression and protein-protein interaction with tensor decomposition

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