Ethereum Phishing Scam Detection Based on Data Augmentation Method and Hybrid Graph Neural Network Model.

The rapid advancement of blockchain technology has fueled the prosperity of the cryptocurrency market. Unfortunately, it has also facilitated certain criminal activities, particularly the increasing issue of phishing scams on blockchain platforms such as Ethereum. Consequently, developing an efficient phishing detection system is critical for ensuring the security and reliability of cryptocurrency transactions. However, existing methods have shortcomings in dealing with sample imbalance and effective feature extraction. To address these issues, this study proposes an Ethereum phishing scam detection method based on DA-HGNN (Data Augmentation Method and Hybrid Graph Neural Network Model), validated by real Ethereum datasets to prove its effectiveness. Initially, basic node features consisting of 11 attributes were designed. This study applied a sliding window sampling method based on node transactions for data augmentation. Since phishing nodes often initiate numerous transactions, the augmented samples tended to balance. Subsequently, the Temporal Features Extraction Module employed Conv1D (One-Dimensional Convolutional neural network) and GRU-MHA (GRU-Multi-Head Attention) models to uncover intrinsic relationships between features from the time sequences and to mine adequate local features, culminating in the extraction of temporal features. The GAE (Graph Autoencoder) concept was then leveraged, with SAGEConv (Graph SAGE Convolution) as the encoder. In the SAGEConv reconstruction module, by reconstructing the relationships between transaction graph nodes, the structural features of the nodes were learned, obtaining reconstructed node embedding representations. Ultimately, phishing fraud nodes were further identified by integrating temporal features, basic features, and embedding representations. A real Ethereum dataset was collected for evaluation, and the DA-HGNN model achieved an AUC-ROC (Area Under the Receiver Operating Characteristic Curve) of 0.994, a Recall of 0.995, and an F1-score of 0.994, outperforming existing methods and baseline models.

Subjective Age Moderates the Relationship Between Global Cognition and Susceptibility to Scams.

This study examined the interactive effect of subjective age on the relationship between global cognition and susceptibility to scams. Sixty-five participants underwent an assessment of global cognition (Mini Mental State Examination; MMSE), reported their perceived age (i.e., subjective age), and responded to a self-report questionnaire assessing scam susceptibility. A main effect of global cognition on scam susceptibility was found (p = .028); there was no main effect of subjective age (p = .819). An interaction between global cognition and subjective age was found (p = .016). Examination of conditional effects demonstrated that the relationship between cognition and scam susceptibility was not significant amongst those with subjective ages below one standard deviation of the mean, but was significant for those whose subjective ages fell around or above the mean. Findings suggest that individuals with older subjective ages may be particularly vulnerable to the negative effects of lower cognition on scam susceptibility.

The Assessment of Situational Judgement Questionnaire: A Novel Instrument to Detect Susceptibility to Financial Scamming.

BACKGROUND: Existing measures of scam susceptibility lack ecological validity and situational variability. Evidence suggests that all adults may be susceptible to scams, though a comprehensive fraud victimization theory remains to be explored. OBJECTIVE: To identify cognitive and sociodemographic variables that differentiate individuals with high scam susceptibility from those less susceptible. This article describes the development and feasibility of the Assessment of Situational Judgment questionnaire (ASJ), a brief tool designed to detect scam susceptibility. METHODS: The 17-item ASJ was developed using a combination of existing scams reported by the Florida Division of Consumer Services and legitimate scenarios. Participants were presented with scam and legitimate scenarios and queried regarding their willingness to engage. Response options were offered with instructions on a 7-point Likert scale (extremely unlikely to extremely likely). Pilot data from a development sample provided the foundation for the final version of the ASJ. RESULTS: The final version of the ASJ was administered to 183 online participants. The Scam factor (8 items) explained 50.6% of the variance. The Legit factor (9 items) reported on a 7-point Likert scale explaining 10.6% of the variance. A Scam to Legit ratio provides a proxy for overall scam susceptibility. Cut-off scores of 24 on the Scam factor, 47 on the Legit factor, and 0.62 on the ratio optimize measures of scam susceptibility. CONCLUSIONS: The ASJ is a brief, ecologically valid measure of scam susceptibility. There is a need for a sensitive and specific tool to detect scam susceptibility in clinical, community, and financial settings.

Exploring Uniform, Dual, and Dynamic Topologies of Membrane Proteins by Substituted Cysteine Accessibility Method (SCAM™).

A described simple and advanced protocol for Substituted Cysteine Accessibility Method as applied to transmembrane (TM) orientation (SCAM™) permits a topology analysis of proteins in their native state and can be universally adapted to any membrane system to either systematically map an uniform or identify and quantify the degree of mixed topology or establish transmembrane assembly dynamics from relatively static experimental data such as endpoint topologies of membrane proteins. In this approach, noncritical individual amino acids that are thought to reside in the putative extracellular or intracellular loops of a membrane protein are replaced one at the time by cysteine residue, and the orientation with respect to the membrane is evaluated by using a pair of membrane-impermeable non-detectable and detectable thiol-reactive labeling reagents. For the most water-exposed cysteine residues in proteins, the thiol pKa lies in the range of 8-9, and formation of cysteinyl thiolate ions is optimum in aqueous rather in a nonpolar environment. These features and the ease of specific chemical modification with thiol reagents are central to SCAM™. Membrane side-specific sulfhydryl labeling allows to discriminate "exposed, protected or dynamic" cysteines strategically "implanted" at desired positions throughout cysteine less target protein template. The strategy described is widely used to map the topology of membrane protein and establish its transmembrane dynamics in intact cells of both diderm (two-membraned) Gram-negative and monoderm (one-membraned) Gram-positive bacteria, cell-derived oriented membrane vesicles, and proteoliposomes.

Preparation of Uniformly Oriented Inverted Inner (Cytoplasmic) Membrane Vesicles from Gram-Negative Bacterial Cells.

The complex double-membrane organization of the envelope in Gram-negative bacteria places unique biosynthetic and topological constraints that can affect translocation of lipids and proteins synthesized on cytoplasm facing leaflet of cytoplasmic (inner) membrane (IM), across IM and between IM and outer membrane (OM). Uniformly oriented inside-out (ISO) vesicles became functional requisite for many biochemical reconstitution functional assays, vectorial proteomics, and vectorial lipidomics. Due to these demands, it is necessary to develop simple and reliable approaches for preparation of uniformly oriented IM membrane vesicles and validation of their sidedness. The uniformly ISO oriented membrane vesicles which have the cytoplasmic face of the membrane on the outside and the periplasmic side facing the sealed lumen can be obtained following intact cell disruption by a single passage through a French pressure cell (French press) at desired total pressure. Although high-pressure lysis leads to the formation of mostly inverted membrane vesicles (designated and abbreviated usually as ISO vesicles, everted or inverted membrane vesicles (IMVs)), inconclusive results are quite common. This uncertainty is due mainly by applying a different pressures, using either intact cells or spheroplasts and presence or absence of sucrose during rupture procedure. Many E. coli envelope fractionation techniques result in heterogeneity among isolated IM membrane vesicles. In part, this is due to difficulties in simple validation of sidedness of oriented membrane preparations of unknown sidedness. The sidedness of various preparations of membrane vesicles can be inferred from the orientation of residing uniformly oriented transmembrane protein. We outline the method in which the orientation of membrane vesicles can be verified by mapping of uniform or mixed topologies of essential protein E. coli protein leader peptidase (LepB) by advanced SCAM™. Although the protocol discussed in this chapter has been developed using Escherichia coli and Yersinia pseudotuberculosis, it can be directly adapted to other Gram-negative bacteria including pathogens.

Reducing older people's risk of fraud victimization through an anti-scam board game.

This study adopted an experimental design to evaluate the effectiveness of an anti-scam education program for older adults. Participants in the experimental group (n = 55) first participated in an anti-scam board game and then joined another board game featuring local tea restaurants two weeks later, whereas such order was reversed for the control group (n = 54). Compared with the control group, participants in the experimental group reported significant increases in their self-efficacy in fraud prevention and awareness of scam situations, and a significant decrease in perceived susceptibility to scams immediately and two weeks after the intervention, demonstrating the immediate and the short-term effects of the anti-scam education program in reducing fraud victimization risk of older adults.

Online social media poses opportunities and risks in autistic youth: implications for services from a qualitative study.

Background: Autistic people are vulnerable to developing mental health problems due to their difficulties in managing social situations and interpersonal relationships. The popular online social media (OSM) can be a potential solution to these concerns for their social lives as it allows non-face-to-face social interactions, however it remained unclear how this group is using these online platforms. This study explored their experiences of using online social media, and their perceived benefits and risks associated with this use. Method: Qualitative data was collected through in-depth face to face interviews. We recruited 13 autistic young adults who were with normal intelligence from two community centers in Hong Kong. Interviews were conducted in a semi-structured format by experienced clinical psychologist and social workers. Results: Four themes were identified from the data, namely: (1) Paradox of using OSM to supplement social needs; (2) Unpleasant social interactions in the online environment; (3) Restricted and repetitive pattern of interest leading to troubles in OSM use, and; (4) Privacy and personal safety issues. The results suggested that while OSM could be a useful tool for our participants to connect with existing friends and to meet new ones, their limitations, such as difficulties in understanding languages and social interaction as well as restricted patterns of interests could potentially put them at risk, including interpersonal conflicts, cyber-bullying, financial scams, as well as unwanted sexual experiences. These experiences not only paradoxically increased their sense of loneliness and their distance from others, but also resulted in a negative impact on their mood and functioning. Conclusion: This qualitative study provided some insights into the OSM use among autistic young adults. OSM could be a useful tool to overcome potential limitations in social interactions, but at the same time it could potentially bring detrimental consequences. In order to maximize the benefits of online social networking, there is a need for timely guidance and support to use OSM among autists, and for psychoeducation to promote awareness, and enable adequate skills and behaviors attainment associated with safe OSM use.

What is a capable guardian to older fraud victims? Comparison of younger and older victims' characteristics of online fraud utilizing routine activity theory.

Objective: The paper compares victim group characteristics: we test routine activities theory to compare the differences in online fraud vulnerabilities of victims aged 18-54 and victims of 55 and above. Methods/sample: A representative sample of US citizens 18 and above was collected in October 2020. Victims under 55 encompassed 35.3% (n = 915), victims 55 and above 12.9% (n = 334) of the total sample (n = 2,589). We utilized non-parametric statistical methods for testing whether older and younger victims' characteristics can be derived from the same independent variables. Results: Computer time, computer familiarity, and technical guardians determine online victimization in older individuals, similarly to younger age groups. However, older victims differ in characteristics from younger victims. Seniors were less likely to apply technical guardians such as camera cover, identity theft monitoring, and credit card freeze, even after experiencing online scams. Being a single parent was a protective factor for older individuals, but having a full-time job made older individuals more prone to experience online fraud victimization compared to being retired. In addition, older victims were less likely to report scams than younger ones. Conclusion/implications: Although this research found significant differences between older and younger fraud victims' characteristics, target suitability and capable guardianship must be further investigated and conceptualized when applying routine activities theory for online fraud against older people.

Who Can You Trust? Assessing Vulnerability to Digital Imposter Scams.

Social Security scams have become one of the most common forms of government imposter fraud. These scams cost innocent people in the USA millions of dollars each year and undercut the ability of the Social Security Administration to contact and interact with citizens about their benefits. This raises questions as to how individuals might improve their ability to discriminate between scams and real appeals from the Social Security Administration. The present study applies the techniques of inoculation theory to a nationally representative sample of over 4,000 US adults in a series of experiments. Participants are randomly assigned to one of four training programs: from general tips about scams to a targeted experiential learning program. There is strong evidence that the inoculation process successfully and significantly increases fraud detection without decreasing trust in real communications. It provides protection against both SSA and non-SSA scams, such as Amazon imposter scams. The impact, however, is specific to the mode of communication (email versus letter or SMS) and decays over time; training programs should be targeted accordingly.

DSmishSMS-A System to Detect Smishing SMS.

With the origin of smart homes, smart cities, and smart everything, smart phones came up as an area of magnificent growth and development. These devices became a part of daily activities of human life. This impact and growth have made these devices more vulnerable to attacks than other devices such as desktops or laptops. Text messages or SMS (Short Text Messages) are a part of smartphones through which attackers target the users. Smishing (SMS Phishing) is an attack targeting smartphone users through the medium of text messages. Though smishing is a type of phishing, it is different from phishing in many aspects like the amount of information available in the SMS, the strategy of attack, etc. Thus, detection of smishing is a challenge in the context of the minimum amount of information shared by the attacker. In the case of smishing, we have short text messages which are often in short forms or in symbolic forms. A single text message contains very few smishing-related features, and it consists of abbreviations and idioms which makes smishing detection more difficult. Detection of smishing is a challenge not only because of features constraint but also due to the scarcity of real smishing datasets. To differentiate spam messages from smishing messages, we are evaluating the legitimacy of the URL (Uniform Resource Locator) in the message. We have extracted the five most efficient features from the text messages to enable the machine learning classification using a limited number of features. In this paper, we have presented a smishing detection model comprising of two phases, Domain Checking Phase and SMS Classification Phase. We have examined the authenticity of the URL in the SMS which is a crucial part of SMS phishing detection. In our system, Domain Checking Phase scrutinizes the authenticity of the URL. SMS Classification Phase examines the text contents of the messages and extracts some efficient features. Finally, the system classifies the messages using Backpropagation Algorithm and compares results with three traditional classifiers. A prototype of the system has been developed and evaluated using SMS datasets. The results of the evaluation achieved an accuracy of 97.93% which shows the proposed method is very efficient for the detection of smishing messages.

Childhood socioeconomic status interacts with cognitive function to impact scam susceptibility among community-dwelling older adults.

OBJECTIVES: We examined whether childhood socioeconomic status (SES) is related to scam susceptibility in old age and tested the hypothesis that childhood SES interacts with cognitive function to impact scam susceptibility. METHODS: This study employed a cross-sectional design. All data were collected in participants' community-based residences. Participants were 1071 older adults (mean age = 81.05 years, SD = 7.53) without dementia (median MMSE score = 28.29, IQR = 27.86-30.00). Participants completed assessments of childhood SES, cognitive function, and scam susceptibility. We used linear regression models to examine the associations of childhood SES and cognitive function with scam susceptibility. RESULTS: In a regression model adjusted for age, gender, and education, poorer cognitive function was associated with higher scam susceptibility, but childhood SES was not. However, in an additional model that included the interaction of childhood SES and cognitive function, the interaction was significant, such that lower childhood SES was associated with higher scam susceptibility among participants with lower cognitive function. CONCLUSION: Lower childhood SES is associated with higher scam susceptibility among older adults with lower levels of cognitive function. Thus, older adults who experienced limited resources in childhood and have lower cognitive function may represent a specific group for interventions to increase scam awareness and prevent financial exploitation.

Advantageous comparison: using Twitter responses to understand similarities between cybercriminals ("Yahoo Boys") and politicians ("Yahoo men").

This article is about the manifestations of similarities between two seemingly distinct groups of Nigerians: cybercriminals and politicians. Which linguistic strategies do Twitter users use to express their opinions on cybercriminals and politicians? The study undertakes a qualitative analysis of 'engaged' tweets of an elite law enforcement agency in West Africa. We analyzed and coded over 100,000 'engaged' tweets based on a component of mechanisms of moral disengagement (i.e., advantageous comparison), a linguistic device. The results reveal how respondents defend the actions of online fraudsters ("the deviant group") by strategically comparing them to the wrongful acts of corrupt politicians ("the respectable group"). Similarly, the results show how respondents positioned this linguistic strategy to compare "the powerless group" (online fraudsters) and "the powerful group" (politicians) in society. Indeed, tweet responses suggest that the Economic and Financial Crimes Commission (EFCC) generally looks downwards for culprits (i.e., online fraudsters) while ignoring fraudulent politicians. We conclude that the process by which some actions are interpreted as a crime compared to others is a moral enterprise.

Backers Beware: Characteristics and Detection of Fraudulent Crowdfunding Campaigns.

Crowdfunding has seen an enormous rise, becoming a new alternative funding source for emerging companies or new startups in recent years. As crowdfunding prevails, it is also under substantial risk of the occurrence of fraud. Though a growing number of articles indicate that crowdfunding scams are a new imminent threat to investors, little is known about them primarily due to the lack of measurement data collected from real scam cases. This paper fills the gap by collecting, labeling, and analyzing publicly available data of a hundred fraudulent campaigns on a crowdfunding platform. In order to find and understand distinguishing characteristics of crowdfunding scams, we propose to use a broad range of traits including project-based traits, project creator-based ones, and content-based ones such as linguistic cues and Named Entity Recognition features, etc. We then propose to use the feature selection method called Forward Stepwise Logistic Regression, through which 17 key discriminating features (including six original and hitherto unused ones) of scam campaigns are discovered. Based on the selected 17 key features, we present and discuss our findings and insights on distinguishing characteristics of crowdfunding scams, and build our scam detection model with 87.3% accuracy. We also explore the feasibility of early scam detection, building a model with 70.2% of classification accuracy right at the time of project launch. We discuss what features from which sections are more helpful for early scam detection on day 0 and thereafter.

Psychosocial characteristics of victims of special fraud among Japanese older adults: A cross-sectional study using scam vulnerability scale.

Despite the police preventing special fraud victimisation of older adults, both the number of cases and the amount of damage have remained high in Japan. 'Special fraud', in Japan, is a crime in which victims are tricked by fraudsters who through phone or postcards impersonate the victims' relatives, employees and other associates, to dupe the victims of their cash or other valuables. The number of recognised cases of special fraud has been turned to increase in 2021. Although police or consumer affairs administrations have been conducting all-encompassing enlightenment or public education for prevention, it is also necessary to reach out to those who are vulnerable to fraud. In this study, we determine the psychosocial characteristics of victims of special fraud in Japanese older adults. We analysed the age, gender, education, residential status, household satisfaction, risk perception and scam vulnerability scale of 56 older adults aged 60 years or older (mean age: 79.34 ± 7.51 years, 49 women) who had been victims of special fraud and 99 older adults aged 60 years or older (mean age: 77.73 ± 5.69 years, 61 women) who had never been victims of special fraud. The study found that the victimised older adults were more likely to be females who live alone and go out less frequently than the non-victimised older adults. The total scores of the scam vulnerability scale were higher among the elderly victims of special fraud compared to those who had never been scammed, suggesting that the psychosocial characteristics of victims of special fraud among older adults are being female, living alone, going out infrequently, having high confidence against fraud victimisation and responding quickly to phone calls and unknown visitors. Therefore, government agencies or family members should take care of older women who meet these characteristics to reduce their contact with fraudsters.

Mental States: A Key Point in Scam Compliance and Warning Compliance in Real Life.

The internet's convenience and anonymity have facilitated different types of covert fraud, resulting in economic, mental, and social harm to victims. Understanding why people are deceived and implementing appropriate interventions is critical for fraud reduction. Based on the Bayesian brain theory, individuals' mental states may be a key point in scam compliance and warning compliance. Fraud victims with different mental states may construct various hypotheses and explanations about the fraud they are exposed to, causing different cognition and behavior patterns. Therefore, we first conducted a semi-structured in-depth interview with online fraud victims to investigate the individual and social factors that affect victims' mental states. Grounded theory analysis showed five core factors influencing scam compliance: psychological traits, empirical factors, motivation, cognitive biases, and emotional imbalance. Based on our findings of psychological processes and deception's influential factors, we then designed warnings to inform victims of fraud, particularly for those involving novel types of scams. Tested on a real-life setting, our designed warnings effectively enhanced warning compliance, allowing more fraud victims to avoid financial losses.

Financial fragility and scam susceptibility in community dwelling older adults.

We tested the hypothesis that financial fragility is associated with higher scam susceptibility in older adults without dementia. Data came from nearly 900 community-dwelling participants from two ongoing cohort studies of aging. Financial fragility was determined by assessing an individual's ability to access $2,000 within a month for an unexpected expense. Scam susceptibility was assessed via a 5-item instrument that measures perceptions and behaviors that predispose older adults to financial fraud and scams. On average, participants were 82 years of age. Nearly 10% reported financial fragility. Financial fragility was higher in Blacks and among those with fewer years of education, lower income, lower global cognition, lower literacy, and poorer financial decision-making. Regression analysis revealed that financially fragile older adults were more susceptible to scams. These data suggest that targeted efforts to reduce financial fragility and improve literacy and cognitive health are needed to prevent elder exploitation among diverse populations.

Updated Prediction of Aggregators and Assay-Interfering Substructures in Food Compounds.

Positive outcomes in biochemical and biological assays of food compounds may appear due to the well-described capacity of some compounds to form colloidal aggregates that adsorb proteins, resulting in their denaturation and loss of function. This phenomenon can lead to wrongly ascribing mechanisms of biological action for these compounds (false positives) as the effect is nonspecific and promiscuous. Similar false positives can show up due to chemical (photo)reactivity, redox cycling, metal chelation, interferences with the assay technology, membrane disruption, etc., which are more frequently observed when the tested molecule has some definite interfering substructures. Although discarding false positives can be achieved experimentally, it would be very useful to have in advance a prognostic value for possible aggregation and/or interference based only in the chemical structure of the compound tested in order to be aware of possible issues, help in prioritization of compounds to test, design of appropriate assays, etc. Previously, we applied cheminformatic tools derived from the drug discovery field to identify putative aggregators and interfering substructures in a database of food compounds, the FooDB, comprising 26,457 molecules at that time. Here, we provide an updated account of that analysis based on a current, much-expanded version of the FooDB, comprising a total of 70,855 compounds. In addition, we also apply a novel machine learning model (SCAM Detective) to predict aggregators with 46-53% increased accuracies over previous models. In this way, we expect to provide the researchers in the mode of action of food compounds with a much improved, robust, and widened set of putative aggregators and interfering substructures of food compounds.

Romance Scams: Romantic Imagery and Transcranial Direct Current Stimulation.

Love has an enormous effect on mental health. One does not need an actual romantic relationship to be in love. Indeed, romantic love can be built upon without frequent or real-life encounters, such as with a stranger from a matching website. With the advancement of the Internet and the influence of coronavirus disease, it is believed that these distant romantic relationships and related romance scams are burgeoning. Often, the victims of scams keep emotionally attached to the scammer even after the lie is revealed, which is hypothesized to be attributed to the aberrantly exaggerated romantic imagery of the victims. It is observed that many victims suffer from symptoms similar to a post-traumatic stress disorder, and some even consider suicide. However, there is scant literature on this topic. In this article, it is further postulated that the aberrant romantic imagery might be associated with impulsive acts such as suicide once the ideal but fake romantic relationship is dissolved. Thereafter, it is further speculated that manipulation of the visual network, possibly by transcranial direct current stimulation (tDCS), might be a promising treatment.

Association of Amyloid-ß Pathology with Decision Making and Scam Susceptibility.

BACKGROUND: Recent findings suggest that poor decision making and increased scam susceptibility are harbingers of Alzheimer's disease (AD) dementia and may be among the earliest behavioral manifestations of pathologic cognitive aging. However, the degree to which poor decision making and scam susceptibility reflect accumulating Alzheimer's disease (AD) pathology remains unclear. OBJECTIVE: To investigate the associations of AD pathology with decision making and scam susceptibility in older adults without dementia. METHODS: Data came from 198 deceased participants without clinical dementia (mean age at death = 90 years; 69%women) from two ongoing studies of aging. All underwent annual clinical evaluations, completed assessments of healthcare and financial decision making and scam susceptibility, and brain donation. Neuropathologic evaluations quantified pathologic hallmarks of AD, amyloid-ß and tau-tangles, Lewy body pathology, and TDP-43 proteinopathy. RESULTS: In linear regression models adjusted for demographics, amyloid-ß pathology was associated with lower decision making (estimate = -0.35; SE = 0.16, p = 0.03), particularly healthcare decision making (estimate = -0.20; SE = 0.09, p = 0.03), as well as greater scam susceptibility (estimate = 0.12; SE = 0.04, p = 0.003); tau-tangle pathology was not related. Further, TDP-43 pathology was associated with greater scam susceptibility (estimate = 0.10; SE = 0.04; p = 0.02). CONCLUSION: Accumulating AD pathology, particularly amyloid-ß, is associated with poor decision making and increased scam susceptibility among older persons without overt cognitive impairment. These findings provide compelling evidence that decision making and scam susceptibility are sensitive to the earliest pathological changes of AD.