Search or ask a question

How to ban someone from a Fivem server?

Traffic policing

Distributed algorithm

Protected Extensible Authentication Protocol

Lightweight Extensible Authentication Protocol

Answers from top 6 papers

PDF

Open Access

More filters

Papers (6)	Insight
Proceedings Article•DOI Study on the prevention of SYN flooding by using traffic policing Yen-Wen Chen 10 Apr 2000 27 Citations	The experimental results also show that the proposed method can effectively prevent the server from SYN flooding attack.
Open access•DOI Defending Against Distributed Denial-of-Service Attacks With Weight-Fair Router Throttling Abusayeed Saifullah 01 Jan 2009 7 Citations	To the best of our knowledge, this is the first weight-fair technique for saving an internet server from denial-of-service attacks.
Journal Article•DOI THE BAN ON DRUGS IN SPORTS: The Solution or the Problem? Terry Black, Amelia Pape - Show less +1 more 01 Feb 1997-Journal of Sport & Social Issues 18 Citations	The authors conclude that the ban is not justified.
Journal Article•DOI Intercalibration of Broadband Geostationary Imagers Using AIRS Mathew M. Gunshor, Timothy J. Schmit, W. Paul Menzel, David C. Tobin - Show less +3 more 01 Apr 2009-Journal of Atmospheric and Oceanic Technology 45 Citations	The method appears to work very well for most ban...
Open access•Journal Article•DOI An efficient authentication protocol for mobile networks Shiuh-Pyng Shieh, Fu Shen Ho, Yu-Lun Huang - Show less +2 more 01 Jul 1999-Journal of Information Science and Engineering 34 Citations	With the enhanced version of BAN logic we propose, it is proved that our protocol can achieve more goals of authentication than those required by the original BAN logic.
Journal Article•DOI 17β-Hydroxy-5alpha-androst-1-en-3-one (1-testosterone) is a potent androgen with anabolic properties A. Friedel, Hans Geyer, Matthias Kamber, U. Laudenbach-Leschowsky, Wilhelm Schänzer, Mario Thevis, G. Vollmer, Oliver Zierau, Patrick Diel - Show less +8 more 20 Aug 2006-Toxicology Letters 26 Citations	Therefore, a strict control of its ban is essential.

My columns

Related Questions

How do I unban myself from a Terraria server?6 answers

How do you unban someone from CS Go Server?7 answers

How to find whitelisted servers on Fivem?9 answers

How to get admin on any Fivem server?6 answers

How to see what scripts a Fivem server uses?7 answers

How to set Fivem server language?7 answers

See what other people are reading

What is the key introductory of this: The effectiveness of the traffic laws of Liberia?

The effectiveness of traffic laws in Liberia is crucial for enhancing road safety and modifying driver behavior. Traffic law enforcement in Liberia involves the establishment of laws, policing, and applying penalties to offenders. Additionally, accountability mechanisms in Liberia, including fiscal accountability at the county level, do not always guarantee achieving good governance goals, indicating a complex relationship between accountability and governance outcomes. Furthermore, the United Nations' training of the Liberia National Police post-UNMIL mission aimed to sustain public safety and confidence in the Liberia National Police, highlighting the importance of effective policing for security and stability in the country. Efforts to combat trafficking and abuse of women seeking domestic work overseas also reflect the government's commitment to law enforcement and protection of vulnerable populations in Liberia.What is fairness definition in fair multi-resource allocation in cloud computing?

Fairness in multi-resource allocation in cloud computing refers to equitable distribution of resources among users to ensure no individual is disadvantaged. Various fairness properties are crucial in this context, such as envy-freeness, Pareto optimality, strategy-proofness, sharing incentive, and bottleneck fairness. Envy-freeness ensures no user desires another's allocation, while Pareto optimality guarantees no user can be made better off without making another worse off. Strategy-proofness ensures users cannot manipulate the system, and sharing incentive promotes fair sharing. Bottleneck fairness aims to prevent resource wastage and performance degradation. These properties collectively ensure a balanced and just allocation of resources in cloud computing environments, enhancing overall efficiency and user satisfaction.Do professional roles in healthcare influence the acceptance of new interventions?

Healthcare professionals' roles significantly impact the acceptance of new interventions. Different professional staff roles, such as psychologists and psychiatric nurses, exhibit varying attitudes towards evidence-based interventions (EBI). Nurses generally show more positive attitudes compared to psychologists, while clinicians have less positive attitudes than non-clinicians. Factors like provider demographics, workplace social support, and empowering leadership influence professionals' acceptance of new interventions. Understanding these role-based differences is crucial for tailoring implementation efforts to meet the diverse needs and values of healthcare professionals within their specific contexts. Moreover, healthcare professionals, including prescribers, pharmacists, and nurses, play essential roles in preventing drug-drug interactions through collaborative clinical interventions.Do agents need to share learned polices and select the most suitable ones with each other in distributed W-learning?

In distributed W-learning, agents do not need to share learned policies but rather select the most suitable ones independently. The approach involves each agent updating its policy based on its own and neighbors' information, leading to a distributed learning process. Similarly, in a consensus-driven Federated Learning (FL) system, devices independently select fragments of the deep neural network (DNN) to share with neighbors, optimizing communication efficiency. This decentralized approach allows agents to learn from each other without sharing data, weights, or weight updates, enhancing training efficiency while preserving privacy. Therefore, in distributed W-learning, the emphasis lies on independent policy updates and selective sharing of information rather than sharing learned policies among agents.What are the local rrs of this topic?

Local Regional Religious Systems (RRS) refer to the spatial distribution of religious sites within specific regions, influenced by socio-cultural and economic factors. In the context of distributed computing, the concept of locality is crucial, focusing on tasks solvable within a limited communication radius in large distributed systems. This notion extends to local topic detection using spatio-temporal social media, emphasizing the importance of considering the continuity of time and location for improved detection accuracy. Moreover, the study of resonant Raman scattering in tooth samples showcases the local structure analysis of calcium in different tooth layers, emphasizing the significance of spatially correlated data analysis techniques for understanding material properties at a local level. Overall, local RRS encompass the localized patterns of religious sites, communication constraints in distributed systems, spatial-temporal correlations in social media data, and local structural analysis in material science.What factors contribute to the relevance of studying cigarette smoking among students in the context of public health?

Studying cigarette smoking among students in the context of public health is crucial due to various contributing factors. Factors such as gender, parents' smoking status, living in urban areas, and having friends who smoke have been identified as significant influences on students' smoking habits. Additionally, the prevalence of smoking, knowledge about smoking, attitudes towards smoking, and exposure to tobacco-related curriculum in schools play essential roles in understanding and addressing smoking behaviors among students. It is evident that interventions targeting these factors, including educational programs, anti-smoking campaigns, and involving families in prevention activities, are vital in reducing smoking rates among students and promoting public health.What is COmmunication to Computation Ratio (CCR) ?

The Communication to Computation Ratio (CCR) refers to the balance between communication and computation in distributed optimization methods, where nodes exchange information with neighboring nodes (communication) and perform computation steps (computation). This ratio is crucial in determining the efficiency and performance of algorithms, especially in scenarios where tradeoffs between communication and computation complexity exist. The CCR plays a significant role in various applications such as machine learning, robotics, and sensor networks, where the optimal composition of communication and computation steps can vary based on the specific requirements of the task at hand. Understanding and optimizing the CCR can lead to the development of tailored algorithms like NEAR-DGD $^+$, which demonstrate improved convergence and flexibility compared to standard methods.What percentage of the uk has a smartphone?

In the UK, smartphone adoption rates have been steadily increasing. Research indicates that 45% of UK adults have access to smartphone technology, and smartphone adoption reached 61% in 2014. Furthermore, the UK is a leader in mobile adoption, with a rise to 72% in 2014. Specifically among healthcare professionals, a study showed that 98.9% of doctors and 95.1% of nurses owned smartphones. This widespread adoption of smartphones is also evident among medical students and junior doctors, with 79.0% of medical students and 74.8% of junior doctors owning smartphones. Therefore, it can be inferred that a significant percentage of the UK population has smartphones, with the exact figure varying slightly across different studies but generally indicating a high level of adoption.How to deal faeture redundancy in SHAP?

In the context of SHAP (SHapley Additive exPlanations), dealing with feature redundancy involves various techniques. One approach is to compute irredundant sub-sets of constraint networks, which involves eliminating redundant constraints to focus the search on the most constrained parts of the network. Another method is through distributed proofs, where nodes collectively verify network predicates with high redundancy levels, allowing for tradeoffs between certificate size and verification rounds. Additionally, optimization methods like column generation decomposition can be utilized for redundancy allocation problems, maximizing system reliability by selecting components and redundancy levels efficiently. These diverse strategies offer effective ways to address feature redundancy in the context of SHAP.How effective and safe the use of security authentication in application or system?

The use of security authentication in applications or systems is crucial for ensuring effectiveness and safety. Authentication plays a key role in preventing unauthorized access to data and resources. Traditional methods like two-factor authentication have evolved into more advanced techniques like adaptive authentication, which considers a unique collection of user features for improved security. Innovative approaches, such as a security authentication system with variable keypads, enhance user experience while deterring eavesdropping. Incorporating user behavior characteristics, position features, and network connection characteristics into security authentication models further enhances the reliability and safety of systems. By continuously improving authentication methods and incorporating cutting-edge technologies, the effectiveness and safety of security authentication in applications and systems can be significantly enhanced.What is the accuracy rate of ChatGPT in diagnosing medical conditions?

ChatGPT demonstrates varying accuracy rates in diagnosing medical conditions. Studies have shown that ChatGPT-4 achieved an 87% accuracy rate without choices and a 97% accuracy rate with choices in clinical scenarios. In another study, ChatGPT-4 provided medical information comparable to static internet information, with an EQIP score median of 16 out of 36 across various hepato-pancreatico-biliary conditions. Additionally, ChatGPT-4 showed promising diagnostic accuracy in abdominal pain-related diseases, with the highest accuracy observed for appendicitis and pancreatitis, while gastrointestinal tumors posed challenges across all groups. ChatGPT 4 solves common cases within 2 suggested diagnoses but requires 8 or more suggestions for 90% of rare disease cases. These findings highlight ChatGPT's potential in assisting healthcare professionals but also emphasize the need for caution, especially with rare conditions.