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DroidEnemy: Battling adversarial example attacks for Android malware detection

Digital Communications and Networks 2022年第6期8卷 1040-1047页

作者： Neha Bala Aemun Ahmar Wenjia Li fernanda tovar Arpit Battu Prachi Bambarkar Department of Computer Science New York Institute of TechnologyNew YorkNY10023USA

In recent years,we have witnessed a surge in mobile devices such as smartphones,tablets,smart watches,etc.,most of which are based on the Android operating ***,because these Android-based mobile devices are becoming increasingly popular,they are now the primary target of mobile malware,which could lead to both privacy leakage and property *** address the rapidly deteriorating security issues caused by mobile malware,various research efforts have been made to develop novel and effective detection mechanisms to identify and combat ***,in order to avoid being caught by these malware detection mechanisms,malware authors are inclined to initiate adversarial example attacks by tampering with mobile *** this paper,several types of adversarial example attacks are investigated and a feasible approach is proposed to fight against ***,we look at adversarial example attacks on the Android system and prior solutions that have been proposed to address these ***,we specifically focus on the data poisoning attack and evasion attack models,which may mutate various application features,such as API calls,permissions and the class label,to produce adversarial ***,we propose and design a malware detection approach that is resistant to adversarial *** observe and investigate how the malware detection system is influenced by the adversarial example attacks,we conduct experiments on some real Android application datasets which are composed of both malware and benign *** results clearly indicate that the performance of Android malware detection is severely degraded when facing adversarial example attacks.

关键词： Security Malware detection Adversarial example attack Data poisoning attack Evasi on attack Machine learning Android

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Comprehensive Left Ventricular Mechanics Analysis by Speckle Tracking Echocardiography in COVID-19

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World Journal of Cardiovascular Diseases 2021年第2期11卷 113-125页

作者： Francisco J. González-Ruiz Emmanuel A. Lazcano-Díaz Zuilma Y. Vásquez-Ortiz fernanda Bernal-Ceballos Rodrigo Gopar-Nieto Consuelo Orihuela-Sandoval José P. Hernández-Reyes Edgar García-Cruz Eduardo Bucio-Reta Ángel Ramos-Enríquez Luis A. Cota-Apodaca Luis Efren-Santos Blanca Estela Broca-García Daniel Manzur-Sandoval Efrén Melano-Carranza Fernandez de la Reguera Guillermo Gustavo Rojas-Velasco Francisco Baranda-tovar Department of Cardiovascular Critical Care National Institute of Cardiology “Dr. Ignacio Chávez” México City México Department of Echocardiography National Institute of Medical Science and Nutrition “Dr. Salvador Zubirán” México City México PhD Program National University of Mexico (UNAM) México City México Cardiovascular Diseases Department National Institute of Cardiology “Dr. Ignacio Chávez” México City México

Background: Cardiac involvement and the consequences of inflammation induced by SARS-CoV2 infection could have catastrophic long-term consequences. Left ventricular mechanics could identify a specific pattern of myocardial fiber damage in patients infected with COVID-19. To our knowledge there are no publications referring to the global description of ventricular mechanics in patients with COVID-19. Objective: To describe left ventricular mechanics in hospitalized patients with COVID-19. Methods: In this cross-sectional study, we included 40 hospitalized patients with confirmed diagnostic of COVID-19, from April 11, 2020, to September 6, 2020. Demographic and laboratory data, clinical and echocardiographic characteristics were collected, as well as events during hospitalization. Left ventricular deformation was analyzed and reported. Results: Subclinical dysfunction was observed in 82.5% (left ventricular longitudinal strain [LVGLS] -17.05% and global circumferential strain [GCS] -18.6%) of the patients, likewise, the mean twist and apical rotation were preserved, and even increased as part of the compensating mechanism to maintain the ejection fraction. Conclusion: In patients hospitalized with COVID-19, despite having a normal left ventricular ejection fraction, subclinical myocardial damage was found, manifested by a decrease in Global Longitudinal Strain (GLS) and Global Circumferential Strain (GCS). This behavior is similar to that of cardiomyopathies in the early stage of the disease, and given the pathophysiological mechanisms involved in the disease, its long-term consequences should be monitored and evaluated.

关键词： COVID-19 Speckle Tracking Echocardiography Myocarditis Cardiomyopa-thy Cardiac Mechanics Strain Myocardial Damage Deformation Imaging Myocardial Strain

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