41 research outputs found

    Ransomware anti-analysis and evasion techniques: a survey and research directions

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    Ransomware has been proven to constitute a severe threat to the world's digital assets. Resources or devices' recovery from a Crypto-Ransomware infection is practically infeasible unless an error in the malicious cryptographic implementation has been made, as robust encryption is irreversible. This paper attempts to justify as to why designing and deploying an effective and efficient detective solution against this particular malware category represents a formidable technical challenge. The paper starts with a recent presentation of the Ransomware's epidemic, as reported by the security industry. Subsequently, a taxonomy of Ransomware is presented. The anatomy of the malware's invariant intrusions and infection vectors are illustrated. In addition, the paper navigates and analyzes the various anti-analysis and evasive techniques that are deployable by Ransomware. In every context enumerated in the narrative, the technical difficulty being posed by this malware is illuminated. If a computer security researcher intends to devise a Crypto-Ransomware's preventive solution or a predictive or proactive one, then it is imperative to have a sound perception of the technical challenges that will manifest prior to launching the proposed research project - so as to be equipped to tackle the anticipated problems. This paper concludes with an advance notice underscoring the resilience of Ransomware intrusions and highlighting research open-problems

    Inactivation of <i>Cronobacter sakazakii</i> in reconstituted infant milk formula by plant essential oils

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    This study aimed to screen the in vitro antimicrobial activity of 10 plant essential oils (EOs) against 4 Cronobacter sakazakii strains, and use these oils or their combination to control C. sakazakii cocktail at low (3 log10 CFU/ml) and high (6 log10 CFU/ml) contamination levels in reconstituted infant milk formula (RIMF). Cinnamon and fir oils were the most inhibitory to C. sakazakii strains with inhibition zone of 32 to 40 mm at 20 µl/disc (the minimum inhibitory concentrations were 0.16 and 0.625 µl/ml, respectively). The addition of each of cinnamon or fir oil at 1% (v/v) reduced the C. sakazakii numbers in RIMF by 0.7-0.8 log10 CFU/ml when inoculated with high contamination level and by 2.5-3.1 log10 CFU/ml when inoculated with low contamination level. However, the combination of cinnamon and fir oils reduced C. sakazakii numbers at both inoculum levels to undetectable levels after 3 h of incubation at 37°C. The results of the current study indicated that a combination of cinnamon and fir oils has a potent antimicrobial activity which may potentially be used to control C. sakazakii in RIMF

    Reported Adverse Effects and Attitudes among Arab Populations Following COVID-19 Vaccination: A Large-Scale Multinational Study Implementing Machine Learning Tools in Predicting Post-Vaccination Adverse Effects Based on Predisposing Factors

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    Background: The unprecedented global spread of coronavirus disease 2019 (COVID-19) has imposed huge challenges on the healthcare facilities, and impacted every aspect of life. This has led to the development of several vaccines against COVID-19 within one year. This study aimed to assess the attitudes and the side effects among Arab communities after receiving a COVID-19 vaccine and use of machine learning (ML) tools to predict post-vaccination side effects based on predisposing factors. Methods: An online-based multinational survey was carried out via social media platforms from June 14 to 31 August 2021, targeting individuals who received at least one dose of a COVID-19 vaccine from 22 Arab countries. Descriptive statistics, correlation, and chi-square tests were used to analyze the data. Moreover, extensive ML tools were utilized to predict 30 post vaccination adverse effects and their severity based on 15 predisposing factors. The importance of distinct predisposing factors in predicting particular side effects was determined using global feature importance employing gradient boost as AutoML. Results: A total of 10,064 participants from 19 Arab countries were included in this study. Around 56% were female and 59% were aged from 20 to 39 years old. A high rate of vaccine hesitancy (51%) was reported among participants. Almost 88% of the participants were vaccinated with one of three COVID-19 vaccines, including Pfizer BioNTech (52.8%), AstraZeneca (20.7%), and Sinopharm (14.2%). About 72% of participants experienced post-vaccination side effects. This study reports statistically significant associations (p < 0.01) between various predisposing factors and post-vaccinations side effects. In terms of predicting post-vaccination side effects, gradient boost, random forest, and XGBoost outperformed other ML methods. The most important predisposing factors for predicting certain side effects (i.e., tiredness, fever, headache, injection site pain and swelling, myalgia, and sleepiness and laziness) were revealed to be the number of doses, gender, type of vaccine, age, and hesitancy to receive a COVID-19 vaccine. Conclusions: The reported side effects following COVID-19 vaccination among Arab populations are usually non-life-threatening; flu-like symptoms and injection site pain. Certain predisposing factors have greater weight and importance as input data in predicting post-vaccination side effects. Based on the most significant input data, ML can also be used to predict these side effects; people with certain predicted side effects may require additional medical attention, or possibly hospitalization

    Side Effects and Perceptions Following COVID-19 Vaccination in Jordan: A Randomized, Cross-Sectional Study Implementing Machine Learning for Predicting Severity of Side Effects

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    Background: Since the coronavirus disease 2019 (COVID-19) was declared a pandemic, there was no doubt that vaccination is the ideal protocol to tackle it. Within a year, a few COVID-19 vaccines have been developed and authorized. This unparalleled initiative in developing vaccines created many uncertainties looming around the efficacy and safety of these vaccines. This study aimed to assess the side effects and perceptions following COVID-19 vaccination in Jordan. Methods: A cross-sectional study was conducted by distributing an online survey targeted toward Jordan inhabitants who received any COVID-19 vaccines. Data were statistically analyzed and certain machine learning (ML) tools, including multilayer perceptron (MLP), eXtreme gradient boosting (XGBoost), random forest (RF), and K-star were used to predict the severity of side effects. Results: A total of 2213 participants were involved in the study after receiving Sinopharm, AstraZeneca, Pfizer-BioNTech, and other vaccines (38.2%, 31%, 27.3%, and 3.5%, respectively). Generally, most of the post-vaccination side effects were common and non-life-threatening (e.g., fatigue, chills, dizziness, fever, headache, joint pain, and myalgia). Only 10% of participants suffered from severe side effects; while 39% and 21% of participants had moderate and mild side effects, respectively. Despite the substantial variations between these vaccines in the presence and severity of side effects, the statistical analysis indicated that these vaccines might provide the same protection against COVID-19 infection. Finally, around 52.9% of participants suffered before vaccination from vaccine hesitancy and anxiety; while after vaccination, 95.5% of participants have advised others to get vaccinated, 80% felt more reassured, and 67% believed that COVID-19 vaccines are safe in the long term. Furthermore, based on the type of vaccine, demographic data, and side effects, the RF, XGBoost, and MLP gave both high accuracies (0.80, 0.79, and 0.70, respectively) and Cohen’s kappa values (0.71, 0.70, and 0.56, respectively). Conclusions: The present study confirmed that the authorized COVID-19 vaccines are safe and getting vaccinated makes people more reassured. Most of the post-vaccination side effects are mild to moderate, which are signs that body’s immune system is building protection. ML can also be used to predict the severity of side effects based on the input data; predicted severe cases may require more medical attention or even hospitalization

    Recovery and Behaviour of Stressed Escherichia coli O157:H7 Cells on Rocket Leaf Surfaces Inoculated by Different Methods

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    E. coli O157:H7 is an emerging public health concern worldwide because of its low infectious dose and ability to survive under adverse conditions. Tests were conducted to determine the abilityof unstressed E. coli O157:H7 cells or those stressed by acid, cold, salt exposure or starvation to survive on the surfaces of rocket leaves after contamination by three methods (dip, spray or spot inoculation) and following storage at 10 or 25ºC. E. coli O157:H7 numbers recovered from rocket leaves contaminated by the different techniques were in the order of dip &gt; spot &gt; spray inoculation.Numbers of stressed E. coli O157:H7 recovered after inoculation by all three methods increased significantly over 7d storage at 10 or 25ºC, while unstressed E. coli O157:H7 only grew following dip inoculation. Exposure to adverse environmental conditions may increase the risk of E. coli O157:H7 survival and spread on leafy green vegetables

    The Effect of the Knowledge, Attitude, and Behavior of Workers Regarding COVID-19 Precautionary Measures on Food Safety at Foodservice Establishments in Jordan

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    The novel coronavirus (COVID-19) pandemic has caused sequential ripples of public health concern worldwide. Restaurant owners and workers have been significantly affected by safety regulations which have governed the activities of both employees and consumers. The objective of this study was to investigate the knowledge, attitude, and practices (KAP) of restaurant owners and workers in the context of COVID-19 and assess the effect of COVID-19 precautions on the implementation of food safety measures at foodservice establishments in Jordan. A cross-sectional survey was conducted that involved 605 participants from 91 restaurants and catering establishments in Jordan. The questionnaire was filled out during a face-to-face interview or via online platforms. Most (77%) of the respondents were male and under 35 years old (79%), with 42% of them having a high educational level (bachelor’s degree or postgraduate studies) and 46% having 1–5 years of work experience. It was found that only 20% of workers possessed good knowledge (scores above 75%), 56% had positive attitudes, and 55% had good practices, with a mean of 47% being compliant with the KAP levels expected. In total, 19 to 34% of participants observed that the precautions and preventive measures put in place during the pandemic improved the application of key food safety regulations within their workplaces. It is evident that more training is required for both employees and employers to ensure the effective implementation of the regulations required to prevent the spread of COVID-19 and food-borne pathogens via the application of good hygienic practices that improve food safety, reducing illnesses and food waste while maintaining food security and economic sustainability

    Effect of availability and COVID-19 vaccination on food shopping and consumption behaviors among Jordan universities students

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    The COVID-19 pandemic influenced the lives of university students all across the globe. Indeed, the pandemic has impacted many aspects of their daily routine, changing their social and health habits and food-related behaviors. There is now no approved therapy, and vaccination is the only clinical preventative measure that provides the highest protection against the virus. While these vaccines have been beneficial in curbing the pandemic's effect, they may also influence food-related behaviors. Accordingly, this paper aims to investigate the impact of vaccination availability on university students' food shopping and consumption habits, vaccine-related opinions, and back on-campus behaviors in Jordan. The research is based on an online survey conducted in Jordan using a structured questionnaire and distributed through Google Forms between January 1 and March 20, 2022. A total of 624 valid answers were collected. The findings revealed no significant changes in the way students consumed, shopped, and handled food compared to the pre-vaccine period. However, there is a slight post-vaccine trend toward shopping more groceries online and ordering more meals via delivery apps and takeout services. Regarding health-related food choices, there was an increase in the consumption of healthy food, water, and fruits and vegetables. Further, following the availability of the vaccination, students' adoption of COVID-19 food-related habits was maintained. Gender, engagement in food preparation activities, and living status (e.g., whether or not living with parents) substantially affected several food-related behaviors. The findings are expected to guide both current emergency preparations and long-term food-related policies in Jordan. This information may also be helpful to researchers interested in the effects of COVID-19 vaccination on student nutrition and related food behaviors.Jordan University of Science and Technolog

    Evaluation of food quality and safety parameters and food safety knowledge and practices of food handlers at fast foods restaurants at universities in Jordan during COVID-19

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    The quality and the safety of the foods that are served at fast foods restaurants and their effect on the consumer health could become a matter of concern during COVID-19. Therefore, the objectives of this study were i) to evaluate the quality and safety of raw foods, suitability and availability of manufacturing places, physical facilities, drinking water and waste management system, and processing conditions, and ii) to assess the knowledge, attitudes, practices regarding food safety and hygienic practices among food handlers at fast foods restaurants in the different universities in Jordan during COVID-19. The study was conducted in 12 fast foods restaurants of 3 different universities in Jordan which are located in different places in Jordan. A desirable practice was given a score of one while no score will be allotted for an undesirable practice through using a standard questionnaire for all the food establishments. This was used to compare with the maximum score obtainable for that relevant operation and the percentage scores was calculated for each operation. Analysis of Variance (ANOVA) of the data was performed to study the significant differences at P ≤ 0.05 in all the evaluated properties among the food establishments in the different universities. The results showed that low percentage scores were obtained with 68%, 75%, 32% and 56% for the production area, waste management, product evaluation (chemical, microbial) and food safety program application, respectively. Also, it was found that there were insignificant differences at P ≤ 0.05 among different food serving establishments in different universities in all the safety properties. This means that all the food establishments in all the universities suffer from the same problems with the same degree. As a conclusion, more work should be done to produce safe food in the different food establishments that were studied in the different universities

    Assessment of Yeasts as Potential Probiotics: A Review of Gastrointestinal Tract Conditions and Investigation Methods

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    Probiotics are microorganisms (including bacteria, yeasts and moulds) that confer various health benefits to the host, when consumed in sufficient amounts. Food products containing probiotics, called functional foods, have several health-promoting and therapeutic benefits. The significant role of yeasts in producing functional foods with promoted health benefits is well documented. Hence, there is considerable interest in isolating new yeasts as potential probiotics. Survival in the gastrointestinal tract (GIT), salt tolerance and adherence to epithelial cells are preconditions to classify such microorganisms as probiotics. Clear understanding of how yeasts can overcome GIT and salt stresses and the conditions that support yeasts to grow under such conditions is paramount for identifying, characterising and selecting probiotic yeast strains. This study elaborated the adaptations and mechanisms underlying the survival of probiotic yeasts under GIT and salt stresses. This study also discussed the capability of yeasts to adhere to epithelial cells (hydrophobicity and autoaggregation) and shed light on in vitro methods used to assess the probiotic characteristics of newly isolated yeasts
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