A Graph Theory Based Self-Learning Honeypot to Detect Persistent Threats

Attacks on the cyber space is getting exponential in recent times.Illegal penetrations and breaches are real threats to the individuals and organizations.Conventional security systems are good enough to detect the known threats but when it comes to Advanced Persistent Threats(APTs)they fails.These APTs are targeted,more sophisticated and very persistent and incorporates lot of evasive techniques to bypass the existing defenses.Hence,there is a need for an effective defense system that can achieve a complete reliance of security.To address the above-mentioned issues,this paper proposes a novel honeypot system that tracks the anonymous behavior of the APT threats.The key idea of honeypot leverages the concepts of graph theory to detect such targeted attacks.The proposed honey-pot is self-realizing,strategic assisted which withholds the APTs actionable tech-niques and observes the behavior for analysis and modelling.The proposed graph theory based self learning honeypot using the resultsγ(C(n,1)),γc(C(n,1)),γsc(C(n,1))outperforms traditional techniques by detecting APTs behavioral with detection rate of 96%.

Self-organizing Map Method Based on Real Rough Sets Space and Its Application of Pattern Recognition

This paper presents a real rough sets space and corresponding concepts of real lower and upper approximation sets which correspond to the real-valued attributes. Therefore, the real rough sets space can be investigated directly. A rhombus neighborhood for SOM is proposed, and the combination of SOM and rough sets theory is explored. According to the distance between the weight of winner node and the input vector in the real rough sets space, new weight learning rules are defined. The modified method makes the classification of the output of SOM clearer and the intervals of different classes larger. Finally, an example based on fault identification of an aircraft actuator is presented, The result of the simulation shows that this method is right and effective.

The self-organizing worm algorithm

A new multi-modal optimization algorithm called the self-organizing worm algorithm （SOWA） is presented for optimization of multi-modal functions. The main idea of this algorithm can be described as follows： disperse some worms equably in the domain; the worms exchange the information each other and creep toward the nearest high point; at last they will stop on the nearest high point. All peaks of multi-modal function can be found rapidly through studying and chasing among the worms. In contrast with the classical multi-modal optimization algorithms, SOWA is provided with a simple calculation, strong convergence, high precision, and does not need any prior knowledge. Several simulation experiments for SOWA are performed, and the complexity of SOWA is analyzed amply. The results show that SOWA is very effective in optimization of multi-modal functions.

UNBALANCED SELF-ORGANIZATION THEORYAND CAUSES OF CRUSTOBODY EVOLUTION

It is generally cousidered that the mantle creep-flow eurtent is the most important internal cause for erustobody evolution. In fact, the Cause, mantle creep-now current takes place just beneath erustobody. Aeeording to the principle that internal causes of a tning determine its development and evolution, a special attetion should be paid to the basic causea of crustobody evolution. Vnder the guidance of the unbalanced self-organization theory, the authors elueidate that the crustobody system is a far-away thermal balaneed system and an open system, and thete are nonlinear interactions between the essentials, positive feedbacks and frequent fluetuation in the erustobody system. Finally, the following conelusions are drawn: the nonlinear interactions in the erustobody system are the basic formation (main internal cause) for erustobody evolution ; Substance and energy gained from surroundings are the basic conditions (main external cause) of crustobody evolution;and the fluctuations theide the erustobody system are the direct induetive cause of its evolution.

A Brief Analysis of the Self-correction Model——from the View of Linking Theory

Based on the theory of the post method pedagogy and the teaching practice，this paper proposes a new teaching model，the self-correction model，and explains it from the point of view of linking theory.

The Process of Compliance with Self-Care among Patients with Hypertension: A Grounded Theory Study

Introduction: Controlling hypertension across world continues to be challenging. Managing hypertension is not only concerned with lowering blood pressure by using antihypertensive medications;it also aims to minimize its consequences through adopting self-care practices. Compliance with self-care practices among patients with hypertension is considered a multidimensional phenomenon. The phenomenon of hypertension has been studied quantitatively, however;little qualitative studies were conducted to understand the compliance with self-care among patients with hypertension. Aim: To understand the process that patients with hypertension go through to comply with self-care practices. Methods: This study used a qualitative design that followed constructivist grounded theory approach;purposive sampling was used to recruit participants from cardiac clinics;semi structured, in-depth and face-to-face interview was used as a major method for data collection. Findings: Four participants with hypertension participated in this study;the phenomena of self-care was identified as the central phenomena;the start of the disease was identified as a casual condition;beliefs toward hypertension disease, beliefs toward self-care practices, knowledge and awareness regarding hypertension disease and self-care practices were identified as strategies;experiencing self-care practices was identified as consequence and being patients with hypertension in a social context. Conclusions: The process of compliance with self-care has a path of actions and interactions. The process started from the moment of diagnosis where the patients start to think about self-care. The absence of health care context leads to varying level of compliance with self-care among patients with hypertension. This indicated the need for more effective patient and health care provider relationship, education and awareness campaign.

Improve Fractal Compression Encoding Speed Using Feature Extraction and Self-organization Network

Image compression consists of two main parts: encoding and decoding. One of the important problems of the fractal theory is the long encoding implementation time, which hindered the acceptance of fractal image compression as a practical method. The long encoding time results from the need to perform a large number of domain-range matches, the total encoding time is the product of the number of matches and the time to perform each match. In order to improve encoding speed, a hybrid method combining features extraction and self-organization network has been provided, which is based on the feature extraction approach the comparison pixels by pixels between the feature of range blocks and domains blocks. The efficiency of the new method was been proved by examples.

Using self-determination theory to identify organizational interventions to support coal mineworkers’ dust-reducing practices

Advancing the application of safety and health(S&H)technologies is likely to remain a value in the mining industry.However,any information that technologies generate must be translated from the organization to the workforce in a targeted way to result in sustainable change.Using a case study approach with continuous personal dust monitors(CPDMs),this paper argues for an organizational focus on technology integration.Although CPDMs provide mineworkers with near real-time feedback about their respirable coal dust exposure,they do not ensure that workers or the organization will continuously use the information to learn about and reduce exposure sources.This study used self-determination theory(SDT)to help three mines manage and communicate about information learned from the CPDM technology.Specifically,35 mineworkers participated in two mixed-method data collection efforts to discuss why they do or do not use CPDMs to engage in dust-reducing practices.Subsequently,the data was analyzed to better understand how organizations can improve the integration of technology through their management systems.Results indicate that using the CPDM to reduce sources of dust exposure is consistent with mineworkers’self-values to protect their health and not necessarily because of compliance to a manager or mine.

Self-consistent field theory of adsorption of flexible polyelectrolytes onto an oppositely charged sphere

The adsorption of flexible polyelectrolyte （PE） with the smeared charge distribution onto an oppositely charged sphere immersed in a PE solution is studied numerically with the continuum self-consistent field theory. The power law scaling relationships between the boundary layer thickness and the surface charge density and the charge fraction of PE chains revealed in the study are in good agreement with the existing analytical result. The curvature effect on the degree of charge compensation of the total amount of charges on the adsorbed PE chains over the surface charges is examined, and a clear understanding of it based on the dependences of the degree of charge compensation on the surface charge density and the charge fraction of PE chains is established.

A Self-Stabilized Field Theory of Neutrinos

In “A Self-linking Field Formalism” I establish a self-dual field structure with higher order self-induced symmetries that reinforce the first-order dynamics. The structure was derived from Gauss-linking integrals in R3 based on the Biot-Savart law and Ampere’s law applied to Heaviside’s equations, derived in strength-independent fashion in “Primordial Principle of Self-Interaction”. The derivation involves Geometric Calculus, topology, and field equations. My goal in this paper is to derive the simplest solution of a self-stabilized solitonic structure and discuss this model of a neutrino.

Frequency detection of self-adaption control based on chaotic theory

Low-order Duffing and high-order Rossler chaotic oscillator are connected together and new self-adaption frequency detection method is presented. The frequency difference control between unknown signal and the periodic driving force is realized in this paper and the self-adaption is obtained. Thus, the detection precision and speed are promoted. The limitation that there are too many chaotic oscillators in Duffing system is broken. Meanwhile the disadvantage that the detection speed is lower in R ssler chaotic control is overcome. The self-adaption choice of frequency difference control is realized using the Duffing and Rssler different chaotic oscillators to obtain unknown signal frequency. The simulation results show that the presented method is feasible and effective.

Application of self-consistent field theory to self-assembled bilayer membranes

Bilayer membranes self-assembled from amphiphilic molecules such as lipids, surfactants, and block copolymers are ubiquitous in biological and physiochemical systems. The shape and structure of bilayer membranes depend crucially on their mechanical properties such as surface tension, bending moduli, and line tension. Understanding how the molecular properties of the amphiphiles determine the structure and mechanics of the self-assembled bilayers requires a molecularly detailed theoretical framework. The self-consistent field theory provides such a theoretical framework, which is capable of accurately predicting the mechanical parameters of self-assembled bilayer membranes. In this mini review we summarize the formulation of the self-consistent field theory, as exemplified by a model system composed of flexible amphiphilic chains dissolved in hydrophilic polymeric solvents, and its application to the study of self-assembled bilayer membranes.

数字平台自我优待的反垄断规制困境与优化进路

平台企业为开拓商业疆土,通过数据垄断、流量封锁等方式优待下游市场的自营业务,实现竞争优势乃至垄断地位的跨市场传导。从本质上来看,竞争优势的传导超越一定限度即可能构成滥用,不属于合法竞争的范围。平台自我优待由于符合杠杆理论对滥用行为的共同要求,应当被纳入反垄断法的规制范围。然而,鉴于我国当前该行为违法性统一认定标准缺失、反竞争效果难以判定、正当性抗辩理由滥用三项因素模糊了自我优待的反垄断规制边界,故在重塑分析框架基础上对其有针对性展开优化,明确平台自治的合理限度,以期为规制指明未来走向。

Use of Social Cognitive Theory to Assess Salient Clinical Research in Chronic Disease Self-Management for Older Adults: An Integrative Review

The purpose of this integrative review is to evaluate research pertaining to self-management programs for older adults with chronic diseases using Albert Bandura’s Social Cognitive Theory (SCT) for behavior change. The focus is application of the SCT domains to self-management programs. The exploration of the current chronic disease self-management research provides an understanding of the Social Cognitive Theory concepts studied in interventional self-management research. The integrative review explicated two areas related to the theory in need of further research. First, social support has not been thoroughly explored as a mechanism for enhancing self-management interventions. Second, moral disengagement was not identified as a focus within chronic disease research raising the question about the impact of moral disengagement on long-term adherence and behavior change.

国际基于自我决定理论的儿童青少年体育活动研究现状与展望

为考察国际基于自我决定理论的儿童青少年体育活动研究的发展脉络和最新进展,运用科学计量学中的关键词共现、关键词聚类和可视化技术等方法对2000—2022年Web of Science核心合集数据库相关研究文献进行分析。结果发现:中国在亚洲国家中产出领先;历年研究呈现从宏观到微观、从单一到多重、从横断到纵横结合、从解决到预防、从验证到应用、从开拓到回顾的发展趋势,最新研究体现出重视结构化问卷、研究设计联系实际情境和纳入各种心理学变量的特点;已有研究存在针对特殊群体、干预的作用路径、系统化干预项目设计方法等方面的局限。对我国相关研究的启示:对热度仍持续的主题继续优化研究设计;对基本达到饱和的主题结合实际推进本土研究;利用多重变量关系路径、多元干预模型、跨情境研究、横向与纵向相结合等开展实证研究;编制、修订中国版的相关问卷。

川藏南线自驾游客情感体验的特征与影响机制

以流动性体验为核心的旅游形式在全球化背景下日益流行。作为大尺度流动型旅游形式典型代表的长途自驾游,因冒险、追逐自由、私密、个性化、高不确定性等特征,赋予了游客独特且复杂的情感体验。目前,学界尚缺乏从更为系统的视角关注大尺度流动情境下游客情感体验的特征、前因与影响机制的实证研究。文章基于景观感知理论,采用定量研究与定性研究相结合的方法,以川藏南线(318国道成都至拉萨段)的自驾游客为研究对象,分析游客在大尺度流动情境下的情感体验特征与影响机制。文章发现:1)自驾游客的积极情感体验未达强烈水平,情感体验(尤其是积极情感体验)伴随着自驾这一流动性实践呈现出动态变化的波动特征,且涉及多个维度;2)基于自我需要满足与否、满足程度如何这一标准,自驾游客与环境的互动(包含两组类型、6类特征)促进了他们上述情感体验的产生,并通过动态反馈机制持续影响了情感体验。上述研究发现不仅完善了有关游客情感体验前因和影响机制以及自驾入藏旅游体验的实证研究体系,还为目的地的管理与营销提供了思路。

媒介变革中网络文学现实观照的幻像强化——从Internet到Sora的技术迁跃

网络文学的媒介提供了一种虚拟空间的文化交流与精神对话方式。伴随着互联网媒介生产技术从早期诞生到Sora AI问世的持续发展,文艺同社会生活边界的日渐模糊,进而打破了以往同社会存在遥远距离的束缚,以一种超现实的虚拟空间状态进入社会大众的生活。网络文艺创作将个体“无意识之思”通过超现实的叙事表达在集体“无意识之思”的公共语境空间内,并通过一种“在场”式体验的创作同创作者与阅读者构成共同的语意空间。而由于公共语境空间的平等交流性,读者与创作者都在他者介入的影响下参与到网络文艺在“自我理想”中找寻“理想自我”的过程中。

以互动达标理论为指导的延续性护理结合家属赋权理论干预对慢性萎缩性胃炎患者疾病自我管理能力及疾病感知压力的影响

目的探讨以互动达标理论为指导的延续性护理结合家属赋权理论干预对慢性萎缩性胃炎患者疾病自我管理能力及疾病感知压力的影响。方法选取2021年9月至2022年8月收治的90例慢性萎缩性胃炎患者为研究对象,按照随机数字表法将其分为对照组与观察组,各45例。对照组接受常规护理,观察组在对照组基础上接受以互动达标理论为指导的延续性护理结合家属赋权理论干预。比较两组的干预效果。结果干预后,观察组的疾病沟通能力、病情应急处理能力、服药管理能力、饮食管理能力评分高于对照组(P<0.05)。干预后,观察组的疾病感知压力程度优于对照组(P<0.05)。观察组的病情控制率高于对照组,病情复发率低于对照组(P<0.05)。结论以互动达标理论为指导的延续性护理结合家属赋权理论干预可提高慢性萎缩性胃炎患者的疾病自我管理能力,降低疾病感知压力,提高病情控制率,降低复发风险,值得在临床实践中推广及应用。

理论-实践-互动式教学法在儿科护理教学中的应用探究

目的探究理论-实践-互动式教学法(theory-practice-interactive teaching method,TPI)在儿科护理教学中的应用效果。方法选择2020年9月—2022年10月中国医科大学附属盛京医院进行儿科实习的护理本科生为研究对象。实习时间在2020年9月-2021年9月者为传统教学组,给予传统教学方式教学,实习时间在2021年10月—2022年10月者为TPI教学组,给予TPI法教学。2组教学内容、授课教师及教学时间相同,统计2组教学后理论及实际操作技能成绩,教学前、后给予2组学生批判性思维能力量表(critical thinking disposition inventory-Chinese version,CTDI-CV)评价,通过学生自主学习评价量表评价2组学生学习动机、学习合作能力、信息素质、自我管理能力,比较2组教学满意度。结果TPI教学组理论知识、实际操作技能评分较传统教学组高,差异有统计学意义(P<0.001)。TPI教学组学生学习动机、学习合作能力、信息素质、自我管理能力、CTDI-CV评分较传统教学组高,差异有统计学意义(P<0.001)。TPI教学组教学满意度(97.78%)较传统教学组高(84.44%),差异有统计学意义(P<0.001)。结论在儿科护理教学中运用TPI教学法,可提升学生教学成绩、实践能力、自学能力及批判性思维能力,提升教学满意度。

基于知信行理论的延续性护理在输尿管结石术后患者中的应用

目的 探讨基于知信行(KAP)理论的延续性护理在输尿管结石术后患者中的应用效果。方法 选取99例输尿管结石术后患者,根据出院后护理方式不同将其分为观察组(50例)和对照组(49例)。对照组采用常规延续性护理,观察组采用基于KAP理论的延续性护理。比较两组的自我效能、并发症发生率及生活质量。结果 干预1个月后,观察组一般自我效能感量表(GSES)、威斯康星州肾结石生活质量量表(WISQOL)评分均高于对照组(P <0.05)。观察组并发症发生率为6.00%,低于对照组的20.41%(P <0.05)。结论 基于KAP理论的延续性护理可明显提升输尿管结石术后患者的自我效能,降低并发症发生率,改善其生活质量。