The Confidentiality of Coding Video Games with Cheat Code and Bots for Cheating in a Virtual World

Video games have been around for several decades and have had many advancements from the original start of video games. Video games started as virtual games that were advertised towards children, and these virtual games created a virtual reality of a variety of genres. These genres included sports games, such as tennis, football, baseball, war games, fantasy, puzzles, etc. The start of these games was derived from a sports genre and now has a popularity in multiplayer-online-shooting games. The purpose of this paper is to investigate different types of tools available for cheating in virtual world making players have undue advantage over other players in a competition. With the advancement in technology, these video games have become more expanded in the development aspects of gaming. Video game developers have created long lines of codes to create a new look of video games. As video games have progressed, the coding, bugs, bots, and errors of video games have changed throughout the years. The coding of video games has branched out from the original video games, which have given many benefits to this virtual world, while simultaneously creating more problems such as bots. Analysis of tools available for cheating in a game has disadvantaged normal gamer in a fair contest.

Reducing Test Anxiety while Increasing Learning Efficiency:by Using Cheat Sheet in the College English Exam

Cheat sheets are so named because they may be used by students without the instructor's knowledge to cheat on a test.Student learning is greatly enhanced by studying prior to an exam.Allowing students to prepare a cheat sheet for the exam helps structure this study time and deepens learning.The crib sheet is well defined:one double-sided page of A4.An award for the best and most creative cheat sheet allows the instructor to appreciate the students' efforts.Using the cheat sheet can not only reduces student anxiety during testing but also incease student learning efficiency.

Cheating or Coincidence? Statistical Method Employing the Principle of Maximum Entropy for Judging Whether a Student Has Committed Plagiarism

Elements of correspondence (“coincidences”) between a student’s solutions to an assigned set of quantitative problems and the solutions manual for the course textbook may suggest that the stu-dent copied the work from an illicit source. Plagiarism of this kind, which occurs primarily in fields such as the natural sciences, engineering, and mathematics, is often difficult to establish. This paper derives an expression for the probability that alleged coincidences in a student’s paper could be attributable to pure chance. The analysis employs the Principle of Maximum Entropy (PME), which, mathematically, is a variational procedure requiring maximization of the Shannon-Jaynes entropy function augmented by the completeness relation for probabilities and known information in the form of expectation values. The virtue of the PME as a general method of inferential reasoning is that it generates the most objective (i.e. least biased) probability distribution consistent with the given information. Numerical examination of test cases for a range of plausible conditions can yield outcomes that tend to exonerate a student who otherwise might be wrongfully judged guilty of cheating by adjudicators unfamiliar with the surprising properties of random processes.

Novel Solution Based on Face Recognition to Address Identity Theft and Cheating in Online Examination Systems

The main objective of this research is to provide a solution for online exam systems by using face recognition to authenticate learners for attending an online exam. More importantly, the system continuously (with short time intervals), checks for learner identity during the whole exam period to ensure that the learner who started the exam is the same one who continued until the end and prevent the possibility of cheating by looking at adjacent PC or reading from an external paper. The system will issue an early warning to the learners if suspicious behavior has been noticed by the system. The proposed system has been presented to eight e-learning instructors and experts in addition to 32 students to gather feedback and to study the impact and the benefit of such system in e-learning environment.

基于YOLOv8作弊行为检测系统的设计与实现

在考试监控领域,深度学习技术的应用对于提高作弊检测的准确性和效率至关重要。结合YOLOv8算法和AlphaPose姿态识别模型,构建一个既能快速检测异常行为又能精准判断作弊行为的考试作弊行为检测系统。通过改进数据结构和优化网络结构,仅使用身体数据进行模型训练,使得模型更加专注检测与作弊行为相关的身体动作,从而提高系统的鲁棒性和适用性。实验结果表明:系统对作弊检测的实际准确率在95%左右,能够有效区分正常行为和作弊行为,为考试监管提供了强有力的技术支持。

一种带作弊识别的动态(t,n)门限量子秘密共享方案

文章基于齐次线性反馈移位寄存器(Linear Feedback Shift Register,LFSR)序列和d维单量子态提出了一种带作弊识别的动态(t,n)门限量子秘密共享方案。在该方案中,可信的分发者确定共享的秘密,并为参与者分配份额,参与者对传输中的粒子执行相应的酉操作来恢复秘密。在秘密重建阶段,通过执行量子态数字签名,不仅可以检测到作弊行为,还可以识别具体的作弊者并将其删除,最终参与者可以验证恢复秘密的正确性。该方案可以在不更改旧参与者份额的前提下,无需其他参与者的帮助便可实现参与者的动态更新。安全性分析表明,该方案能够抵抗常见的外部攻击和内部攻击。

有限公司股权对外转让行为的效力研究——以侵害股东优先购买权为视角

2023年《公司法》第84条就优先购买权作出规定,用以保护有限公司的人合性特征,但对侵害股东优先购买权具体情形仍未予言明,致使司法裁判和理论学说已有争议仍存在。亟待2023年《公司法》在其司法解释中对股权对外转让行为进行体系化完善。在股权转让行为方面,应采用区分原则明确股权转让行为系债权行为;在优先购买权性质认定方面,应采用公司组织法上的特殊权利说保障其他股东的顺位优势;在以侵害优先购买权主张股权转让合同无效时,应根据《民法典》规定分别对欺诈、通谋行为等情形的转让合同效力进行认定。

人工智能方法在探究小学生作业作弊行为及其关键预测因子中的应用

小学生作业作弊是心理学领域忽略已久的研究重点,机器学习是数智时代新兴的人工智能科学。笔者对2,098名2至6年级小学生进行问卷调查,采用机器学习法,考察个体认知、道德判断、同伴行为,及性别、年级、成绩等因素对小学生作业作弊行为的影响。结果表明:集成机器学习模型对小学生作业作弊预测准确率(AUC均值)达80.46%;对作业作弊预测效应最强的4个因素依次为个体对作业作弊的接受程度、观察到同伴作弊的普遍性和频率,及其自身成绩。

Further Results of Cheating Immune Secret Sharing

Cheating immune secret sharing in the unconditionally secure case are investigated in this paper.Constructionsof defining functions of cheating immune secret sharing on V_n are given,where n is any integer greater than 5.Further-more,the obtained defining functions have good cryptographic properties.The nonlinearity of them is 2^(n-1)-2^(n/2+1) whenn≡0(mod 4)and 2^(n-1)-2^((?)n/2」+2) otherwise.And thedegree is「n/4(?).

An Advanced Threshold Secret Sharing Scheme for Identifying Cheaters

In this paper an advanced threshold secret sharing scheme for identifyingcheaters is proposed by using authentication codes. The performance of the scheme is discussed. Theresults show that in the scheme the valid shareholders can not only identify the impersonation of anadversary, but also detect cheating of some valid shareholders . In particular one honestshareholder is able to detect cheating of other participants forming a collection, and theinformation rate of the scheme is higher than that of others.

智能化eNSP实训自动批改技术

为了解决高职院校计算机网络技术课程中的实践教学难题,特别是针对传统课堂教学方式无法满足学生实践能力需求的问题,提出了智能化的eNSP实训自动批改技术。为解决模拟器软件在实训批改中的局限性,设计了VRP配置文件解析算法、基于OCR的实训截图批改算法、多尺度图像模板匹配算法、批改程序自动生成算法以及基于学生ID的防作弊算法。通过这些算法和系统的设计与实现,成功实现了对学生实训过程的实时评估与批改,显著提高了实训教学的效率和质量。实验验证表明,该方案具有有效性和实用性,为高职院校基于eNSP的实训教学提供了一种有效的解决方案。

A secure data sharing scheme with cheating detection based on Chaum-Pedersen protocol for cloud storage

With the development of cloud computing technology, data can be outsourced to the cloud and conveniently shared among users. However, in many circumstances, users may have concerns about the reliability and integrity of their data. It is crucial to provide data sharing services that satisfy these security requirements. We introduce a reliable and secure data sharing scheme, using the threshold secret sharing technique and the ChaumPedersen zero-knowledge proof. The proposed scheme is not only effective and flexible, but also able to achieve the semantic security property. Moreover, our scheme is capable of ensuring accountability of users’ decryption keys as well as cheater identification if some users behave dishonestly. The efficiency analysis shows that the proposed scheme has a better performance in terms of computational cost, compared with the related work. It is particularly suitable for application to protect users’ medical insurance data over the cloud.

基于油气集输半实物仿真平台的工控网络安全测试研究

由于无法在实际环境中对工业控制网络进行安全测试,提出一种基于油气集输半实物仿真平台的网络安全测试方法。该方法通过分析真实环境中工业控制网络的结构和脆弱性,构建网络安全测试模型,分别采用DoS攻击、重放攻击和虚假数据注入攻击方式对仿真平台进行网络攻击测试,并通过组态操作界面和沙盘模型对攻击效果进行验证;同时,对测试过程中出现的网络安全问题进行总结并提出了防御措施,可为工业控制网络安全防护提供重要参考。

独立保函欺诈的风险防范问题研究

独立保函具有极高的商事便捷性,近些年在中国得到广泛的运用,国内外商业主体在享受保函商事效率的同时也滋生了独立保函欺诈的沃土。本文首先对独立保函欺诈情形的认定进行类型化分析;其次从欺诈例外条款适用的不同维度和范围,包括受益人的主观状态、基础交易的审查程度、适用保函欺诈的证据要求,进一步对如何适用独立保函欺诈例外条款的三个核心问题进行探讨。通过司法解释对以上问题的指导性规定进行分析,对不同国家司法实践和国际公约中的相关规定进行比较研究,对中国目前的司法解释存在的不足提出完善建议。

Do Pay-for-Grades Programs Encourage Student Academic Cheating?Evidence from a Randomized Experiment

Pay-for-grades programs aim to incentivize families and students to engage in specified behaviors given financial remittance.In addition to doubts over its effectiveness,educators worry that monetary incentives could skew student learning motivation and lead to academic cheating.Using a randomized control trial in 11 Chinese primary schools,we studied the effects of pay-for-grades programs on academic cheating.We randomly assigned 82 classrooms into treatment or control conditions,and used a statistical algorithm to determine the occurrence of cheating.While our data indicates a concerning level of cheating overall,our experiment did not find any relationship between academic cheating and the pay-for-grades program.Finally,we discuss the feasibility of such policies in improving learning outcomes and its policy implications.

集贸市场电子秤作弊方式识别及解决对策

在对集贸市场电子秤开展强制检定工作中,发现一些不法商家利用作弊电子秤进行贸易结算过程屡禁不止,不仅侵害消费者权益,更严重影响公平公正的消费环境。本文探究电子秤惯用作弊方式,剖析其产生的客观原因,有针对性地提出加强集贸市场电子秤管理的有效措施,防止和避免作弊行为的发生。

压力视角下大学生考试作弊行为的成因与治理

大学生考试作弊是一种典型的不诚信行为,对其进行成因分析和有效治理具有十分重要的现实意义.在压力理论视角下,学生个体在与外部环境交互作用过程中产生的学业压力、测评压力、就业压力、发展压力是引发大学生考试作弊行为的深层次原因.在对压力作用机制分析的基础上,认为有效治理压力因素导致的大学生考试作弊,应加强对特殊大学生群体的关注、优化调整学业考评体系、科学合理发挥考试功能、构建支持学生健康成长的外部环境.

基于深度学习的电子考场作弊行为识别技术

为确保考试的公正性,并解决现有电子监考系统无法自动解析监控视频、人工审查视频劳动强度过高的问题,文中提出了一种基于深度学习的考生作弊行为识别方法。该方法构建了一个用于深度学习训练的数据集,结合物体识别算法YOLO和人体姿态估计工具OpenPose,使用帧间差分技术快速提取关键帧,通过分析视频帧来定位和标记可疑考生,提高了检测的准确率和速度。

电子计价秤作弊现象揭秘科普

本文主要针对电子计价秤作弊现象进行分析。通过对作弊手段揭秘、作弊行为确认及防范进行科普,使消费者在进行称重购物时提高警惕,确保自身权益不受侵害。