Android Botnet Detection Using Machine Learning
نویسندگان
چکیده
منابع مشابه
Machine Learning Approach for Botnet Detection
BotNet is a type of malware that has posed serious threats to Internet community and has been a common weapon for committing cybercrimes such as spam generation, stealing sensitive information, click fraud and DDOS attacks. In this document, we propose an approach for BotNet detection at large scale where network traffic is monitored at a central core in the Internet (say a Tier-1 ISP) so that ...
متن کاملMBotCS: A Mobile Botnet Detection System Based on Machine Learning
As the use of mobile devices spreads dramatically, hackers have started making use of mobile botnets to steal user information or perform other malicious attacks. To address this problem, in this paper we propose a mobile botnet detection system, called MBotCS. MBotCS can detect mobile device traffic indicative of the presence of a mobile botnet based on prior training using machine learning te...
متن کاملUsing Machine Learning Techniques to Identify Botnet Traffic
To date, techniques to counter cyber-attacks have predominantly been reactive; they focus on monitoring network traffic, detecting anomalies and cyber-attack traffic patterns, and, a posteriori, combating the cyber-attacks and mitigating their effects. Contrary to such approaches, we advocate proactively detecting and identifying botnets prior to their being used as part of a cyber-attack [12]....
متن کاملMachine Learning-Based Malware Detection for Android Applications: History Matters!
Machine Learning-based malware detection is a promising scalable method for identifying suspicious applications. In particular, in today’s mobile computing realm where thousands of applications are daily poured into markets, such a technique could be valuable to guarantee a strong filtering of malicious apps. The success of machine-learning approaches however is highly dependent on (1) the qual...
متن کاملA Study of Android Malware Detection Techniques and Machine Learning
Android OS is one of the widely used mobile Operating Systems. The number of malicious applications and adwares are increasing constantly on par with the number of mobile devices. A great number of commercial signature based tools are available on the market which prevent to an extent the penetration and distribution of malicious applications. Numerous researches have been conducted which claim...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Ingénierie des systèmes d information
سال: 2020
ISSN: 1633-1311,2116-7125
DOI: 10.18280/isi.250117