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An SVEIR Defending Model with Partial Immunization for Worms

並列摘要


Internet worms can propagate across networks horrendously, reduce network security remarkably, and cause economic losses heavily. How to quickly eliminate the Internet worms using partial immunization becomes a big issue for sustaining Internet infrastructure smoothly. This paper addresses this issue by presenting a novel worm attack model through incorporating a saturated incidence rate and a partial immunization rate, named SVEIR model. Using the basic reproduction number, we derive the global stability of the infection-free equilibrium and local stability of the unique endemic equilibrium. Numerical methods are employed to solve and simulate the developed system and also verify the proposed SVEIR model. Simulation results show that the partial immunization is highly effective for eliminating worms.

被引用紀錄


Chiou, C. L. (2008). 改良式具光照補償機制之人臉辨識系統 [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2008.02507
蔡佳霖(2009)。白光高分子發光二極體之研究〔碩士論文,國立清華大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0016-1111200916035319
黃昱禎(2015)。使用前額穩態視覺誘發電位之腦波人機介面研究〔碩士論文,國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-0412201512091697

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