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Mobile devices have become very popular nowadays, due to its portability and high performance, a mobile device became a must device for persons using information and communication technologies. In addition to hardware rapid evolution,…

Cryptography and Security · Computer Science 2018-01-10 Bela Amro

To cope with the increasing variability and sophistication of modern attacks, machine learning has been widely adopted as a statistically-sound tool for malware detection. However, its security against well-crafted attacks has not only been…

Cryptography and Security · Computer Science 2017-05-01 Ambra Demontis , Marco Melis , Battista Biggio , Davide Maiorca , Daniel Arp , Konrad Rieck , Igino Corona , Giorgio Giacinto , Fabio Roli

Currently, Android malware detection is mostly performed on server side against the increasing number of malware. Powerful computing resource provides more exhaustive protection for app markets than maintaining detection by a single user.…

Cryptography and Security · Computer Science 2020-11-11 Ruitao Feng , Sen Chen , Xiaofei Xie , Guozhu Meng , Shang-Wei Lin , Yang Liu

In this paper, we seek to better understand Android obfuscation and depict a holistic view of the usage of obfuscation through a large-scale investigation in the wild. In particular, we focus on four popular obfuscation approaches:…

Cryptography and Security · Computer Science 2018-01-08 Shuaike Dong , Menghao Li , Wenrui Diao , Xiangyu Liu , Jian Liu , Zhou Li , Fenghao Xu , Kai Chen , Xiaofeng Wang , Kehuan Zhang

The widespread use of smartphones in daily life has raised concerns about privacy and security among researchers and practitioners. Privacy issues are generally highly prevalent in mobile applications, particularly targeting the Android…

Malware detection has become a major concern due to the increasing number and complexity of malware. Traditional detection methods based on signatures and heuristics are used for malware detection, but unfortunately, they suffer from poor…

Cryptography and Security · Computer Science 2023-08-21 Tristan Bilot , Nour El Madhoun , Khaldoun Al Agha , Anis Zouaoui

Android is the most widely used smartphone OS with 82.8% market share in 2015. It is therefore the most widely targeted system by malware authors. Researchers rely on dynamic analysis to extract malware behaviors and often use emulators to…

Cryptography and Security · Computer Science 2016-09-16 Paul Irolla , Eric Filiol

The popularity of Android OS has made it an appealing target to malware developers. To evade detection, including by ML-based techniques, attackers invest in creating malware that closely resemble legitimate apps. In this paper, we propose…

Cryptography and Security · Computer Science 2022-05-18 Nadia Daoudi , Kevin Allix , Tegawendé F. Bissyandé , Jacques Klein

In this paper, we propose to identify compromised mobile devices from a network administrator's point of view. Intuitively, inadvertent users (and thus their devices) who download apps through untrustworthy markets are often allured to…

Cryptography and Security · Computer Science 2019-11-28 Euijin Choo , Mohamed Nabeel , Mashael Alsabah , Issa Khalil , Ting Yu , Wei Wang

Mobile malware has become one of the most critical security threats in the era of ubiquitous mobile computing. Despite the intensive efforts from security experts to counteract it, recent years have still witnessed a rapid growth of…

Cryptography and Security · Computer Science 2024-01-08 Jiayi Hua , Kailong Wang , Meizhen Wang , Guangdong Bai , Xiapu Luo , Haoyu Wang

Mobile apps are predominantly integrated with cloud services to benefit from enhanced functionalities. Adopting authentication using secrets such as API keys is crucial to ensure secure mobile-cloud interactions. However, developers often…

Cryptography and Security · Computer Science 2025-11-11 Kevin Li , Lin Ling , Jinqiu Yang , Lili Wei

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…

Cryptography and Security · Computer Science 2019-06-25 Hye Min Kim , Hyun Min Song , Jae Woo Seo , Huy Kang Kim

Numerous tools rely on automatic categorization of Android apps as part of their methodology. However, incorrect categorization can lead to inaccurate outcomes, such as a malware detector wrongly flagging a benign app as malicious. One such…

Software Engineering · Computer Science 2023-10-12 Marco Alecci , Jordan Samhi , Tegawendé F. Bissyandé , Jacques Klein

With the advent of new technologies, using various formats of digital gadgets is becoming widespread. In today's world, where everyday tasks are inevitable without technology, this extensive use of computers paves the way for malicious…

Cryptography and Security · Computer Science 2022-02-23 Mohammad Mahdi Maghouli , Mohamadreza Fereydooni , Monireh Abdoos , Mojtaba Vahidi-Asl

Cybersecurity has become a significant issue in the digital era as a result of the growth in everyday computer use. Cybercriminals now engage in more than virus distribution and computer hacking. Cyberwarfare has developed as a result…

Cryptography and Security · Computer Science 2023-10-18 Suleman Qamar

As mobile application (app) functionalities grow increasingly complex and their iterations accelerate, ensuring high reliability presents significant challenges. While functionality-oriented GUI testing has attracted growing research…

Software Engineering · Computer Science 2026-02-16 Jinlong He , Changwei Xia , Binru Huang , Jiwei Yan , Jun Yan , Jian Zhang

Recent advancements in ML and DL have significantly improved Android malware detection, yet many methodologies still rely on basic static analysis, bytecode, or function call graphs that often fail to capture complex malicious behaviors.…

Software Engineering · Computer Science 2024-08-30 Tiezhu Sun , Nadia Daoudi , Kisub Kim , Kevin Allix , Tegawendé F. Bissyandé , Jacques Klein

Sophisticated malware families exploit the openness of the Android platform to infiltrate IoT networks, enabling large-scale disruption, data exfiltration, and denial-of-service attacks. This systematic literature review (SLR) examines…

Cryptography and Security · Computer Science 2025-09-16 Shama Maganur , Yili Jiang , Jiaqi Huang , Fangtian Zhong

With the rapid technological advancement, security has become a major issue due to the increase in malware activity that poses a serious threat to the security and safety of both computer systems and stakeholders. To maintain stakeholders,…

Providing security for information is highly critical in the current era with devices enabled with smart technology, where assuming a day without the internet is highly impossible. Fast internet at a cheaper price, not only made…

Cryptography and Security · Computer Science 2024-08-26 Sharmila S P , Aruna Tiwari , Narendra S Chaudhari