scispace - formally typeset
Search or ask a question

Answers from top 4 papers

More filters
Papers (4)Insight
Proceedings ArticleDOI
Yin Hu, Haoyong Lv 
20 Aug 2011
5 Citations
With the popularity of UEFI, this model has a good prospect in achieving security on computer system.
The research is conducive to the rapid detection of the vulnerability of UEFI Platform Firmware, predict the attack paths and deploy the security strategy targeted to safeguard the firmware.
The UEFI can be applied in a wide variety of patients, regardless of mobility limitations, in an outpatient setting.
This paper proposes an improved Attack Graphs model based on Finite State Machine (AGFSM), which can be used to evaluate the reliability of UEFI, as well as calculate the expected exploitation cost and expected attack loss.

See what other people are reading

What ethical considerations should be taken into account when collecting data on children?
5 answers
When collecting data on children, several ethical considerations must be taken into account. These include obtaining informed consent, ensuring confidentiality and anonymity, addressing power dynamics between children and adults, considering children's opinions and involvement, prioritizing children's emotional well-being, and upholding their rights. It is crucial to navigate sensitive issues that may arise during data collection and to engage children and families in decision-making processes regarding the data collected. Additionally, a justifiable data sharing model for patient reported outcomes (PROs) in pediatric care-based research is recommended to balance risks and benefits, enhance transparency, and promote patient-centered care.
Canteen vendors healthy food
5 answers
Canteen vendors play a crucial role in promoting healthy food choices among adolescents. Studies show that interventions like implementing healthy canteen displays with traffic light labeling can inspire positive changes in food offerings and lead to improved nutritional intake at community canteens. However, barriers such as food waste, lack of consumer interest, and pricing challenges may hinder the stocking of healthy foods by vendors. It is essential for canteen operators to receive continuous training and monitoring to ensure the availability of nutritious options and maintain food safety standards. Collaborating with stakeholders like Primary Health Centers can further enhance the implementation of healthy practices in canteens. Overall, promoting healthier food choices in canteens can significantly impact the dietary habits and health outcomes of adolescents.
How to cite this Author: Ayesha Tandon Risk of heat-related deaths has ‘increased rapidly’ over past 20 years?
4 answers
The risk of heat-related deaths has significantly escalated over the past two decades due to climate change. Studies indicate that extreme heat events are becoming more frequent and severe, leading to a higher impact on human health, especially in urban areas. Research shows that the probability of experiencing heat-related excess mortality equivalent to a 100-year summer in the climate of 2000 has increased to every ten to twenty years in today's climate for most locations. Furthermore, projections suggest that without adaptation measures, extreme heat mortality events of the past will become more common under warming scenarios of 1.5°C and 2°C, emphasizing the urgent need for mitigation and adaptation strategies to reduce the impacts on human lives.
How has technology impacted the efficiency and effectiveness of inventory management in avian farms in Peru?
5 answers
Technology has significantly impacted inventory management in various sectors in Peru. For instance, in the hardware sector, the implementation of an inventory control model led to an 11% increase in distribution efficiency, highlighting the positive influence of technology on productivity. In the context of avian farms, the use of autonomous recorders and point counts for surveying avian assemblages in white-sand forests in the Peruvian Amazon demonstrated that autonomous recorders detected more bird species per survey point, emphasizing the effectiveness of technology in data collection and analysis for inventory management in avian farms. Furthermore, the implementation of IoT-based systems and data analytics in meat and poultry farms has shown a 37% increase in efficiency compared to traditional systems, showcasing the transformative impact of technology on inventory optimization and management in agricultural settings.
What is the S7 Protocol?
5 answers
The S7 Protocol is a crucial communication protocol used in industrial control networks, particularly by Siemens programmable logic controllers (PLCs). It plays a significant role in facilitating data exchange between PLCs and engineering software like TIA Portal. The security of the S7 Protocol has been a focus due to vulnerabilities that can impact the operation of PLCs and the processes they control. To enhance security, intrusion detection models based on the S7 Protocol have been developed, utilizing deep analysis algorithms and dynamic white list configurations. Additionally, vulnerability discovery methods, such as fuzzy testing, have been applied to uncover potential weaknesses in the S7 Protocol. Overall, the S7 Protocol is integral to industrial control systems, and efforts are ongoing to strengthen its security and protect against potential exploits.
How do machine learning techniques perform in fileless 4ransomware detection?
4 answers
Machine learning techniques excel in detecting fileless ransomware. Research shows that employing machine learning algorithms like Random Forest, Support Vector Machine, and K-Nearest Neighbor significantly enhances ransomware detection accuracy. Furthermore, the use of machine learning models, including Random Forest, Gradient Boosting, and Support Vector Machine, has proven effective in detecting cyberattacks in the Internet of Medical Things (IoMT) domain, showcasing superior performance compared to existing methods. Additionally, machine learning models like Logistic Regression, Random Forest, and K-Nearest Neighbor have been successfully integrated into security frameworks for cyber-attack detection, demonstrating high accuracy in forecasting unknown scenarios and reducing computational complexity. Overall, machine learning techniques offer robust solutions for detecting fileless ransomware and enhancing cybersecurity measures.
What are the key factors that influence supply chain management in manufacturing?
4 answers
Supply chain management in manufacturing is influenced by various key factors. These include factors such as competitive advantages, interest demands, disruption factors, supply chain vulnerability, and factors affecting the adoption of Sustainable Supply Chain Management (SSCM). Competitive advantages of enterprises play a significant role in affecting supply chain collaboration (SCC). Additionally, disruption factors like insufficient supply of materials and logistics constraints impact supply chain operations. Factors such as supply chain collaboration and information technology are causal factors affecting supply chain vulnerability in manufacturing enterprises. Moreover, instrumental, relational, moral, and knowledge factors influence the adoption of SSCM practices in manufacturing firms. Understanding and managing these factors are crucial for effective supply chain management in the manufacturing industry.
What is self-report suvey in social sciences?
8 answers
A self-report survey in social sciences is a research method that involves collecting data directly from participants about their feelings, behaviors, attitudes, or perceptions. This method is particularly valuable for exploring aspects of human experience that are not easily observable from the outside, such as internal states, personal histories, or subjective experiences. Self-report surveys can be implemented through various means, including paper-based questionnaires, digital platforms, and even innovative technologies like smartwatches, which have shown to increase compliance among participants. Despite their widespread use, self-report surveys are not without limitations. They are subject to essential constraints, such as the accuracy of participants' self-assessment and the potential for response biases, which cannot be fully resolved through technical or methodological improvements. The development of self-report inventories has evolved to address early criticisms, such as susceptibility to distortion and the empirical foundations of their interpretation. Modern approaches to constructing and interpreting these inventories strive to balance empirical and content-based interpretation methods, while also considering protocol validity to mitigate threats like nonresponding or biased responding. Innovations in mobile technology have further expanded the possibilities for self-reporting, offering new methods that can be more engaging and convenient for participants, thereby potentially improving the quality and quantity of data collected. Moreover, self-report surveys have been adapted to measure complex and multidimensional constructs, such as gender identity, through tools like the Gender Self-Report (GSR), which demonstrates the method's flexibility and applicability across diverse research areas. However, the interpretation of self-report data can be challenging, necessitating sophisticated statistical models to account for factors like response uncertainty and the tendency towards socially desirable responding. Despite these challenges, self-report surveys remain a cornerstone of social science research, offering insights into the human condition that are difficult to capture through other means.
Is the current quality control system for cheese farmers sufficient?
5 answers
The current quality control systems for dairy products, including cheese, face challenges in ensuring optimal quality. To address this, the use of innovative technologies like blockchain in supply chain management of dairy products can enhance quality control by ensuring data safety and transparency throughout the production process. Additionally, advancements in high-throughput qPCR technology allow for rapid and cost-efficient quantification of microbial species in cheese, aiding in monitoring and maintaining quality standards. Industry 4.0 technologies, such as robotic milking machines and automated processing lines with sensor integration, offer real-time data management for quality control in dairy industries, enhancing optimization and quality standards. Despite these advancements, challenges like intentional food contamination in the dairy sector persist, necessitating the adoption of novel systems like CARVER+Shock and Hazard Analysis Critical Control and Defense Points (HACCDP) to safeguard against quality issues.
Antivirus and firewalls avert what percentage of attacks in work from home environment?
4 answers
Antivirus and firewalls play a crucial role in averting cyber-attacks in work-from-home environments. While antivirus software helps detect and remove malicious software, firewalls monitor and control incoming and outgoing network traffic. Studies have shown that remote workers often exhibit lax security habits, such as opening unknown emails and using personal devices for work, which can increase the risk of cyber-attacks. Additionally, the shift to remote work due to the COVID-19 pandemic has raised concerns about the cybersecurity vulnerabilities introduced by work-from-home setups, potentially leading to an increase in cyber-breaches. Implementing security measures like VPNs, multi-factor authentication, and strong endpoint detection and response can help mitigate these risks. Overall, while the exact percentage of attacks averted by antivirus and firewalls may vary, these tools are essential components in safeguarding remote work environments against cyber threats.
Network Compartmentalization avert what percentage of attacks in work from home environment?
5 answers
Network compartmentalization in a work-from-home (WFH) environment can potentially avert around 25% of attacks, as indicated by a study on WFH cybersecurity. This method involves segmenting the network into compartments to enhance security. Additionally, the use of security policy manager devices can aid in detecting questionable activities, isolating offending objects, and launching offensive information warfare capabilities in real-time. Furthermore, the study on computer users' security compliance behaviors highlights the importance of modifying home computer users' behavior, especially among telecommuters handling sensitive data, to enhance security. By implementing network compartmentalization strategies, leveraging security policy manager devices, and promoting security behavior modifications, organizations can significantly reduce the susceptibility to cyber-attacks in WFH environments.