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While the rapid adaptation of mobile devices changes our daily life more conveniently, the threat derived from malware is also increased. There are lots of research to detect malware to protect mobile devices, but most of them adopt only…

密码学与安全 · 计算机科学 2019-06-25 Hye Min Kim , Hyun Min Song , Jae Woo Seo , Huy Kang Kim

Several solutions ensuring the dynamic detection of malicious activities on Android ecosystem have been proposed. These are represented by generic rules and models that identify any purported malicious behavior. However, the approaches…

密码学与安全 · 计算机科学 2023-08-01 Abdellah Ouaguid , Mohamed Ouzzif , Noreddine Abghour

With the increasing popularity of Android in the last decade, Android is popular among users as well as attackers. The vast number of android users grabs the attention of attackers on android. Due to the continuous evolution of the variety…

密码学与安全 · 计算机科学 2022-08-15 Shubham Shakya , Mayank Dave

Thousands of malicious applications targeting mobile devices, including the popular Android platform, are created every day. A large number of those applications are created by a small number of professional under-ground actors, however…

密码学与安全 · 计算机科学 2019-03-06 Hyunjae Kang , Jae-wook Jang , Aziz Mohaisen , Huy Kang Kim

Android malware is one of the most dangerous threats on the internet, and it's been on the rise for several years. Despite significant efforts in detecting and classifying android malware from innocuous android applications, there is still…

密码学与安全 · 计算机科学 2021-07-06 Ahmed Hashem El Fiky , Ayman El Shenawy , Mohamed Ashraf Madkour

Mobile malware has continued to grow at an alarming rate despite on-going efforts towards mitigating the problem. This has been particularly noticeable on Android due to its being an open platform that has subsequently overtaken other…

密码学与安全 · 计算机科学 2016-07-28 Suleiman Y. Yerima , Sakir Sezer , Igor Muttik

The existing malware classification approaches (i.e., binary and family classification) can barely benefit subsequent analysis with their outputs. Even the family classification approaches suffer from lacking a formal naming standard and an…

密码学与安全 · 计算机科学 2024-10-10 Qijing Qiao , Ruitao Feng , Sen Chen , Fei Zhang , Xiaohong Li

Machine learning models are increasingly being adopted across various fields, such as medicine, business, autonomous vehicles, and cybersecurity, to analyze vast amounts of data, detect patterns, and make predictions or recommendations. In…

密码学与安全 · 计算机科学 2024-04-16 Dipkamal Bhusal , Nidhi Rastogi

Android is currently the most extensively used smartphone platform in the world. Due to its popularity and open source nature, Android malware has been rapidly growing in recent years, and bringing great risks to users' privacy. The malware…

密码学与安全 · 计算机科学 2021-02-01 Wenhao fan , Liang Zhao , Jiayang Wang , Ye Chen , Fan Wu , Yuan'an Liu

The rise in popularity of the Android platform has resulted in an explosion of malware threats targeting it. As both Android malware and the operating system itself constantly evolve, it is very challenging to design robust malware…

This paper introduces a malware detection system for smartphones based on studying the dynamic behavior of suspicious applications. The main goal is to prevent the installation of the malicious software on the victim systems. The approach…

密码学与安全 · 计算机科学 2024-02-07 Jorge Maestre Vidal , Marco Antonio Sotelo Monge , Luis Javier García Villalba

Following the increasing popularity of mobile ecosystems, cybercriminals have increasingly targeted them, designing and distributing malicious apps that steal information or cause harm to the device's owner. Aiming to counter them,…

Smartphones and mobile devices are rapidly becoming indispensable devices for many users. Unfortunately, they also become fertile grounds for hackers to deploy malware and to spread virus. There is an urgent need to have a "security…

密码学与安全 · 计算机科学 2013-09-24 Min Zheng , Mingshen Sun , John C. S. Lui

As Android has become increasingly popular, so has malware targeting it, thus pushing the research community to propose different detection techniques. However, the constant evolution of the Android ecosystem, and of malware itself, makes…

Smartphones have become an intrinsic part of human's life. The smartphone unifies diverse advanced characteristics. It enables users to store various data such as photos, health data, credential bank data, and personal information. The…

密码学与安全 · 计算机科学 2019-01-23 Abdelmonim Naway , Yuancheng Li

The emergence of mobile platforms with increased storage and computing capabilities and the pervasive use of these platforms for sensitive applications such as online banking, e-commerce and the storage of sensitive information on these…

密码学与安全 · 计算机科学 2015-12-15 Joshua Abah , Waziri O. , Abdullahi M. B , Arthur U. M , Adewale O. S

As the popularity of Android smart phones has increased in recent years, so too has the number of malicious applications. Due to the potential for data theft mobile phone users face, the detection of malware on Android devices has become an…

密码学与安全 · 计算机科学 2019-08-14 Chenglin Li , Keith Mills , Rui Zhu , Di Niu , Hongwen Zhang , Husam Kinawi

Mobile malware has been growing in scale and complexity spurred by the unabated uptake of smartphones worldwide. Android is fast becoming the most popular mobile platform resulting in sharp increase in malware targeting the platform.…

密码学与安全 · 计算机科学 2016-08-23 Suleiman Y. Yerima , Sakir Sezer , Gavin McWilliams

Android Malware has emerged as a consequence of the increasing popularity of smartphones and tablets. While most previous work focuses on inherent characteristics of Android apps to detect malware, this study analyses indirect features and…

密码学与安全 · 计算机科学 2017-12-13 Ignacio Martín , José Alberto Hernández , Alfonso Muñoz , Antonio Guzmán

As the security landscape evolves over time, where thousands of species of malicious codes are seen every day, antivirus vendors strive to detect and classify malware families for efficient and effective responses against malware campaigns.…

密码学与安全 · 计算机科学 2016-06-08 Jae-wook Jang , Jiyoung Woo , Aziz Mohaisen , Jaesung Yun , Huy Kang Kim
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