MPPM: Malware propagation and prevention model in online SNS

2014 ◽  
Author(s):  
Hui Zhu ◽  
Cheng Huang ◽  
Hui Li
Keyword(s):  
Malware Propagation ◽  
Prevention Model

scholarly journals Malware Propagation and Prevention Model for Time-Varying Community Networks within Software Defined Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Lan Liu ◽  
Ryan K. L. Ko ◽  
Guangming Ren ◽  
Xiaoping Xu
Keyword(s):  
Network Security ◽  
Research Area ◽  
Time Varying ◽  
Software Defined Networks ◽  
Mobility Rate ◽  
Security Research ◽  
Malware Propagation ◽  
Prevention Model ◽  
Security Incidents ◽  
Rate Threshold

As the adoption of Software Defined Networks (SDNs) grows, the security of SDN still has several unaddressed limitations. A key network security research area is in the study of malware propagation across the SDN-enabled networks. To analyze the spreading processes of network malware (e.g., viruses) in SDN, we propose a dynamic model with a time-varying community network, inspired by research models on the spread of epidemics in complex networks across communities. We assume subnets of the network as communities and links that are dense in subnets but sparse between subnets. Using numerical simulation and theoretical analysis, we find that the efficiency of network malware propagation in this model depends on the mobility rate q of the nodes between subnets. We also find that there exists a mobility rate threshold qc. The network malware will spread in the SDN when the mobility rate q>qc. The malware will survive when q>qc and perish when q<qc. The results showed that our model is effective, and the results may help to decide the SDN control strategy to defend against network malware and provide a theoretical basis to reduce and prevent network security incidents.

Testing the Relapse Prevention Model With Marijuana Dependence

1994 ◽  
Author(s):  
R. S. Stephens ◽  
◽  
R. A. Roffman ◽  
E. E. Simpson
Keyword(s):  
Relapse Prevention ◽  
Prevention Model ◽  
Relapse Prevention Model

A Study of Malware Propagation Dynamics in Wireless Sensor Network using Spatially Correlated Security Model

2020 ◽  
Vol 13 ◽  
Author(s):  
Satya Ranjan Biswal ◽  
Santosh Kumar Swain
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Network ◽  
Spatial Correlation ◽  
Malicious Code ◽  
Wireless Sensor ◽  
Epidemic Theory ◽  
Malware Propagation ◽  
Proposed Model ◽  
Propagation Dynamics

: Security is one of the important concern in both types of the network. The network may be wired or wireless. In case of wireless network security provisioning is more difficult in comparison to wired network. Wireless Sensor Network (WSN) is also a type of wireless network. And due to resource constraints WSN is vulnerable against malware attacks. Initially, the malware (virus, worm, malicious code, etc.) targets a single node of WSN for attack. When a node of WSN gets infected then automatically start to spread in the network. If nodes are strongly correlated the malware spreads quickly in the network. On the other hand, if nodes are weakly correlated the speed of malware spread is slow. A mathematical model is proposed for the study of malware propagation dynamics in WSN with combination of spatial correlation and epidemic theory. This model is based on epidemic theory with spatial correlation. The proposed model is Susceptible-Exposed-Infectious-Recover-Dead (SEIRD) with spatial correlation. We deduced the expression of basic reproduction number. It helps in the study of malware propagation dynamics in WSN. The stability analysis of the network has been investigated through proposed model. This model also helps in reduction of redundant information and saving of sensor nodes’ energy in WSN. The theoretical investigation verified by simulation results. A spatial correlation based epidemic model has been formulated for the study of dynamic behaviour of malware attacks in WSN.

scholarly journals Rationale and design of a type 2 diabetes prevention intervention for at-risk mothers and children at a Federally Qualified Healthcare Center: EPIC El Rio Families Study Protocol

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
David G. Marrero ◽  
Robert M. Blew ◽  
Kelly N. B. Palmer ◽  
Kyla James ◽  
Denise J. Roe ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
At Risk ◽  
Cardiovascular Health ◽  
Excess Body Weight ◽  
Lifestyle Behaviors ◽  
Increased Risk ◽  
Group Randomized Trial ◽  
Prevention Model ◽  
History Of

Abstract Background Exposure to gestational diabetes mellitus (GDM) is associated with increased risk for type 2 diabetes (T2DM) in mothers, and poor cardiovascular health among offspring. Identifying effective methods to mitigate T2DM risk has the potential to improve health outcomes for mothers with a history of GDM and their children. The goal of the EPIC El Rio Families Study is to implement and evaluate the effects of a 13-week behavioral lifestyle intervention on T2DM risk factors in at-risk mothers and their 8- to 12-year-old children. We describe herein the rationale for our specific approach, the adaption of the DPP-based curriculum for delivery to patients of a Federally Qualified Health Center (FQHC), and the study design and methodology. Methods The effects of the intervention on reduction in excess body weight (primary outcome), hemoglobin A1c, blood pressure, and changes in lifestyle behaviors associated with weight trajectory and T2DM risk in mother-child dyads will be evaluated during a 13-week, group randomized trial wherein 60 mothers and their children will be recruited to the intervention or wait-listed control conditions at one of two FQHC locations. Intervention participants (n = 30) will begin the group program immediately, whereas the wait-listed controls (n = 30) will receive a booklet describing self-guided strategies for behavior change. Associated program delivery costs, acceptability of the program to participants and FQHC staff, and potential for long-term sustainability will also be evaluated. Discussion Successful completion in our aims will produce a scalable program with high potential for replication and dissemination, and estimated intervention effects to inform T2DM prevention efforts on families who use the FQHC system. The results from this study will be critical in developing a T2DM prevention model that can be implemented and scaled across FQHCs serving populations disproportionately burdened by T2DM. Trial registration ClinicalTrials.gov NCT03781102; Date of registration: 19 December 2018.

Evidence for Early and Regular Physical Therapy and Exercise in Parkinson's Disease

2021 ◽  
Author(s):  
Terry D. Ellis ◽  
Cristina Colón-Semenza ◽  
Tamara R. DeAngelis ◽  
Cathi A. Thomas ◽  
Marie-Hélène Saint Hilaire ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Physical Therapy ◽  
Secondary Prevention ◽  
Medical Management ◽  
Long Term Outcomes ◽  
High Prevalence ◽  
Growing Body ◽  
Prevention Model

AbstractAdvances in medical management of Parkinson's disease (PD) have resulted in living longer with disability. Although disability worsens over the course of the disease, there are signs of disability even in the early stages. Several studies reveal an early decline in gait and balance and a high prevalence of nonmotor signs in the prodromal period that contribute to early disability. There is a growing body of evidence revealing the benefits of physical therapy and exercise to mitigate motor and nonmotor signs while improving physical function and reducing disability. The presence of early disability coupled with the benefits of exercise suggests that physical therapy should be initiated earlier in the disease. In this review, we present the evidence revealing early disability in PD and the effectiveness of physical therapy and exercise, followed by a discussion of a secondary prevention model of rehabilitation to reduce early disability and optimize long-term outcomes.

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