Network Neuroscience最新文献_第9页

Detection of Malicious Network Flows with Low Preprocessing Overhead 低预处理开销的恶意网络流检测

IF 4.7 3区医学

Network Neuroscience Pub Date : 2022-11-04 DOI: 10.3390/network2040036

Garett Fox, R. Boppana

引用次数: 3

Protecting Chiller Systems from Cyberattack Using a Systems Thinking Approach 利用系统思维方法保护制冷系统免受网络攻击

IF 4.7 3区医学

Network Neuroscience Pub Date : 2022-11-02 DOI: 10.3390/network2040035

Shaharyar Khan, S. Madnick

{"title":"Protecting Chiller Systems from Cyberattack Using a Systems Thinking Approach","authors":"Shaharyar Khan, S. Madnick","doi":"10.3390/network2040035","DOIUrl":"https://doi.org/10.3390/network2040035","url":null,"abstract":"Recent world events and geopolitics have brought the vulnerability of critical infrastructure to cyberattacks to the forefront. While there has been considerable attention to attacks on Information Technology (IT) systems, such as data theft and ransomware, the vulnerabilities and dangers posed by industrial control systems (ICS) have received significantly less attention. What is very different is that industrial control systems can be made to do things that could destroy equipment or even harm people. For example, in 2021 the US encountered a cyberattack on a water treatment plant in Florida that could have resulted in serious injuries or even death. These risks are based on the unique physical characteristics of these industrial systems. In this paper, we present a holistic, integrated safety and security analysis, we call Cybersafety, based on the STAMP (System-Theoretic Accident Model and Processes) framework, for one such industrial system—an industrial chiller plant—as an example. In this analysis, we identify vulnerabilities emerging from interactions between technology, operator actions as well as organizational structure, and provide recommendations to mitigate resulting loss scenarios in a systematic manner.","PeriodicalId":48520,"journal":{"name":"Network Neuroscience","volume":"69 1","pages":"606-627"},"PeriodicalIF":4.7,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83605710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An Efficient Information Retrieval System Using Evolutionary Algorithms 基于进化算法的高效信息检索系统

IF 4.7 3区医学

Network Neuroscience Pub Date : 2022-10-28 DOI: 10.3390/network2040034

Doaa N. Mhawi, Haider W. Oleiwi, N. Saeed, Heba L. Al-Taie

{"title":"An Efficient Information Retrieval System Using Evolutionary Algorithms","authors":"Doaa N. Mhawi, Haider W. Oleiwi, N. Saeed, Heba L. Al-Taie","doi":"10.3390/network2040034","DOIUrl":"https://doi.org/10.3390/network2040034","url":null,"abstract":"When it comes to web search, information retrieval (IR) represents a critical technique as web pages have been increasingly growing. However, web users face major problems; unrelated user query retrieved documents (i.e., low precision), a lack of relevant document retrieval (i.e., low recall), acceptable retrieval time, and minimum storage space. This paper proposed a novel advanced document-indexing method (ADIM) with an integrated evolutionary algorithm. The proposed IRS includes three main stages; the first stage (i.e., the advanced documents indexing method) is preprocessing, which consists of two steps: dataset documents reading and advanced documents indexing method (ADIM), resulting in a set of two tables. The second stage is the query searching algorithm to produce a set of words or keywords and the related documents retrieving. The third stage (i.e., the searching algorithm) consists of two steps. The modified genetic algorithm (MGA) proposed new fitness functions using a cross-point operator with dynamic length chromosomes with the adaptive function of the culture algorithm (CA). The proposed system ranks the most relevant documents to the user query by adding a simple parameter (∝) to the fitness function to guarantee the convergence solution, retrieving the most relevant user’s document by integrating MGA with the CA algorithm to achieve the best accuracy. This system was simulated using a free dataset called WebKb containing Worldwide Webpages of computer science departments at multiple universities. The dataset is composed of 8280 HTML-programed semi-structured documents. Experimental results and evaluation measurements showed 100% average precision with 98.5236% average recall for 50 test queries, while the average response time was 00.46.74.78 milliseconds with 18.8 MB memory space for document indexing. The proposed work outperforms all the literature, comparatively, representing a remarkable leap in the studied field.","PeriodicalId":48520,"journal":{"name":"Network Neuroscience","volume":"10 1","pages":"583-605"},"PeriodicalIF":4.7,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90516354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

An Uncertainty-Driven Proactive Self-Healing Model for Pervasive Applications 面向普遍应用的不确定性驱动的主动自愈模型

IF 4.7 3区医学

Network Neuroscience Pub Date : 2022-10-25 DOI: 10.3390/network2040033

Maria Papathanasaki, P. Fountas, Kostas Kolomvatsos

{"title":"An Uncertainty-Driven Proactive Self-Healing Model for Pervasive Applications","authors":"Maria Papathanasaki, P. Fountas, Kostas Kolomvatsos","doi":"10.3390/network2040033","DOIUrl":"https://doi.org/10.3390/network2040033","url":null,"abstract":"The ever-increasing demand for services of end-users in the Internet of Things (IoT) often causes great congestion in the nodes dedicated to serving their requests. Such nodes are usually placed at the edge of the network, becoming the intermediates between the IoT infrastructure and Cloud. Edge nodes offer many advantages when adopted to perform processing activities that are realized close to end-users, limiting the latency in the provision of responses. In this article, we attempt to solve the problem of the potential overloading of edge nodes by proposing a mechanism that always keeps free space in their queue to host high-priority processing tasks. We introduce a proactive, self-healing mechanism that utilizes the principles of Fuzzy Logic, in combination with a non-parametric statistical method that reveals the trend of nodes’ loads as depicted by the incoming tasks and their capability to serve them in the minimum possible time. Through our approach, we manage to ensure the uninterrupted service of high-priority tasks, taking into consideration the demand for tasks as well. Based on this approach, we ensure the fastest possible delivery of results to the requestors while keeping the latency for serving high-priority tasks at the lowest possible levels. A set of experimental scenarios is adopted to evaluate the performance of the suggested model by presenting the corresponding numerical results.","PeriodicalId":48520,"journal":{"name":"Network Neuroscience","volume":"7 1","pages":"568-582"},"PeriodicalIF":4.7,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75385667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Call Me Maybe: Using Dynamic Protocol Switching to Mitigate Denial-of-Service Attacks on VoIP Systems 也许打电话给我:使用动态协议切换来减轻对VoIP系统的拒绝服务攻击

IF 4.7 3区医学

Network Neuroscience Pub Date : 2022-10-18 DOI: 10.3390/network2040032

John Kafke, Thiago Viana

{"title":"Call Me Maybe: Using Dynamic Protocol Switching to Mitigate Denial-of-Service Attacks on VoIP Systems","authors":"John Kafke, Thiago Viana","doi":"10.3390/network2040032","DOIUrl":"https://doi.org/10.3390/network2040032","url":null,"abstract":"Voice over IP is quickly becoming the industry standard voice communication service. While using an IP-based method of communication has many advantages, it also comes with a new set of challenges; voice networks are now accessible to a multitude of internet-based attackers from anywhere in the world. One of the most prevalent threats to a VoIP network are Denial-of-Service attacks, which consume network bandwidth to congest or disable the communication service. This paper looks at the current state of research into the mitigation of these attacks against VoIP networks, to see if the mechanisms in place are enough. A new framework is proposed titled the “Call Me Maybe” framework, combining elements of latency monitoring with dynamic protocol switching to mitigate DoS attacks against VoIP systems. Research conducted around routing VoIP over TCP rather than UDP is integrated into the proposed design, along with a latency monitoring mechanism to detect when the service is under attack. Data gathered from a Cisco Packet Tracer simulation was used to evaluate the effectiveness of the solution. The gathered results have shown that there is a statistically significant improvement in the response times of voice traffic when using the “Call Me Maybe” framework in a network experiencing a DoS attack. The research and findings therefore aim to provide a contribution to the enhancement of the security of VoIP and future IP-based voice communication systems.","PeriodicalId":48520,"journal":{"name":"Network Neuroscience","volume":"16 1","pages":"545-567"},"PeriodicalIF":4.7,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89840113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Multimodel-Based Approach for Estimating Cause of Scanning Failure and Delay in IoT Wireless Network 基于多模型的物联网无线网络扫描故障和延迟原因估计方法

IF 4.7 3区医学

Network Neuroscience Pub Date : 2022-10-12 DOI: 10.3390/network2040031

B. Ojetunde, Naoto Egashira, Kenta Suzuki, Takuya Kurihara, K. Yano, Yoshinori Suzuki

{"title":"A Multimodel-Based Approach for Estimating Cause of Scanning Failure and Delay in IoT Wireless Network","authors":"B. Ojetunde, Naoto Egashira, Kenta Suzuki, Takuya Kurihara, K. Yano, Yoshinori Suzuki","doi":"10.3390/network2040031","DOIUrl":"https://doi.org/10.3390/network2040031","url":null,"abstract":"The rapid growth in the IoT network comes with a huge security threat. Network scanning is considered necessary to identify vulnerable IoT devices connected to IP networks. However, most existing network scanning tools or system do not consider the burden of scan packet traffic on the network, especially in the IoT network where resources are limited. It is necessary to know the status of the communication environment and the reason why network scanning failed. Therefore, this paper proposes a multimodel-based approach which can be utilized to estimate the cause of failure/delay of network scanning over wireless networks where a scan packet or its response may sometimes be dropped or delayed. Specifically, the factors that cause network scanning failure/delay were identified and categorized. Then, using a machine learning algorithm, we introduced a multimodel linear discriminant analysis (MM-LDA) to estimate the cause of scan failure/delay based on the results of network scanning. In addition, a one-to-many model and a training data filtering technique were adopted to ensure that the estimation error was drastically reduced. The goal of our proposed method was to correctly estimate the causes of scan failure/delay in IP-connected devices. The performance of the proposed method was evaluated using computer simulation assuming a cellular (LTE) network as the targeted IoT wireless network and using LTE-connected devices as the targeted IoT devices. The proposed MM-LDA correctly estimates the cause of failure/delay of the network scan at an average probability of 98% in various scenarios. In comparison to other conventional machine learning classifiers, the proposed MM-LDA outperforms various classification methods in the estimation of the cause of scan failure/delay.","PeriodicalId":48520,"journal":{"name":"Network Neuroscience","volume":"43 1","pages":"519-544"},"PeriodicalIF":4.7,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89701462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quality of Experience Experimentation Prediction Framework through Programmable Network Management 基于可编程网络管理的体验质量实验预测框架

IF 4.7 3区医学

Network Neuroscience Pub Date : 2022-10-08 DOI: 10.3390/network2040030

Ahmed Osama Basil Al-Mashhadani, Mu Mu, Ali Al-Sharbaz

引用次数: 0

Structural connectome constrained graphical lasso for MEG partial coherence. MEG部分相干的结构连接体约束图形套索

IF 4.7 3区医学

Network Neuroscience Pub Date : 2022-10-01 eCollection Date: 2022-01-01 DOI: 10.1162/netn_a_00267

Anirudh Wodeyar, Ramesh Srinivasan

{"title":"Structural connectome constrained graphical lasso for MEG partial coherence.","authors":"Anirudh Wodeyar, Ramesh Srinivasan","doi":"10.1162/netn_a_00267","DOIUrl":"10.1162/netn_a_00267","url":null,"abstract":"Structural connectivity provides the backbone for communication between neural populations. Since axonal transmission occurs on a millisecond time scale, measures of M/EEG functional connectivity sensitive to phase synchronization, such as coherence, are expected to reflect structural connectivity. We develop a model of MEG functional connectivity whose edges are constrained by the structural connectome. The edge strengths are defined by partial coherence, a measure of conditional dependence. We build a new method-the adaptive graphical lasso (AGL)-to fit the partial coherence to perform inference on the hypothesis that the structural connectome is reflected in MEG functional connectivity. In simulations, we demonstrate that the structural connectivity's influence on the partial coherence can be inferred using the AGL. Further, we show that fitting the partial coherence is superior to alternative methods at recovering the structural connectome, even after the source localization estimates required to map MEG from sensors to the cortex. Finally, we show how partial coherence can be used to explore how distinct parts of the structural connectome contribute to MEG functional connectivity in different frequency bands. Partial coherence offers better estimates of the strength of direct functional connections and consequently a potentially better estimate of network structure.","PeriodicalId":48520,"journal":{"name":"Network Neuroscience","volume":"6 1","pages":"1219-1242"},"PeriodicalIF":4.7,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11117092/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46071184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Functional network antagonism and consciousness. 功能网络对抗与意识

IF 4.7 3区医学

Network Neuroscience Pub Date : 2022-10-01 eCollection Date: 2022-01-01 DOI: 10.1162/netn_a_00244

Athena Demertzi, Aaron Kucyi, Adrián Ponce-Alvarez, Georgios A Keliris, Susan Whitfield-Gabrieli, Gustavo Deco

{"title":"Functional network antagonism and consciousness.","authors":"Athena Demertzi, Aaron Kucyi, Adrián Ponce-Alvarez, Georgios A Keliris, Susan Whitfield-Gabrieli, Gustavo Deco","doi":"10.1162/netn_a_00244","DOIUrl":"10.1162/netn_a_00244","url":null,"abstract":"Spontaneous brain activity changes across states of consciousness. A particular consciousness-mediated configuration is the anticorrelations between the default mode network and other brain regions. What this antagonistic organization implies about consciousness to date remains inconclusive. In this Perspective Article, we propose that anticorrelations are the physiological expression of the concept of segregation, namely the brain's capacity to show selectivity in the way areas will be functionally connected. We postulate that this effect is mediated by the process of neural inhibition, by regulating global and local inhibitory activity. While recognizing that this effect can also result from other mechanisms, neural inhibition helps the understanding of how network metastability is affected after disrupting local and global neural balance. In combination with relevant theories of consciousness, we suggest that anticorrelations are a physiological prior that can work as a marker of preserved consciousness. We predict that if the brain is not in a state to host anticorrelations, then most likely the individual does not entertain subjective experience. We believe that this link between anticorrelations and the underlying physiology will help not only to comprehend how consciousness happens, but also conceptualize effective interventions for treating consciousness disorders in which anticorrelations seem particularly affected.","PeriodicalId":48520,"journal":{"name":"Network Neuroscience","volume":"6 1","pages":"998-1009"},"PeriodicalIF":4.7,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11117090/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41601428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The global neuronal workspace as a broadcasting network. 作为广播网的全球神经元工作空间

IF 4.7 3区医学

Network Neuroscience Pub Date : 2022-10-01 eCollection Date: 2022-01-01 DOI: 10.1162/netn_a_00261

Abel Wajnerman Paz

引用次数: 0