نتایج جستجو برای: botnet detection

تعداد نتایج: 566813  

Journal: :International Journal of Emerging Trends in Engineering Research 2020

Journal: :SN computer science 2021

The IoT industry is seen intensifying its presence along these recent years. Since devices are small and heterogeneous they can easily fall prey to the cyberattacks. Handling proper up-gradation of network forensic mechanisms for various security attacks like denial service, keylogging, man-in-the-middle etc within networks not easy due large size heterogeneity. Traditional high-end protection ...

2007
Jay Zarfoss

The botnet phenomenon has recently garnered attention throughout both academia and industry. Unfortunately, botnets are still a mystery. In fact, today, very little is known about even the most basic botnet properties, such as size, growth, or demographics. The primary reason for this lack of knowledge is the fact that the existing approaches for measuring such properties are simply inadequate;...

2017

Botnets are a serious threat to internet security. Botnets consist of networked collections of compromised machines called robots or ‘bots’ for short. Bots are also called ‘zombies,’ and botnets are also called ‘zombie armies.’ Bots are controlled by nodes called ‘botmasters’ or ‘botherders.’ Bots are infected with malicious code that performs work on behalf of the botmaster or botherder. Botne...

2015
Xin Meng George Spanoudakis

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...

2009
Yao Zhao Yinglian Xie Fang Yu Qifa Ke Yuan Yu Yan Chen Eliot Gillum

Network security applications often require analyzing huge volumes of data to identify abnormal patterns or activities. The emergence of cloud-computing models opens up new opportunities to address this challenge by leveraging the power of parallel computing. In this paper, we design and implement a novel system called BotGraph to detect a new type of botnet spamming attacks targeting major Web...

2012
Son T. Vuong Mohammed S. Alam

Today, our dependence on the internet has grown manifold. So has the need to protect our vast personal information accessible via web interfaces such as online passwords, corporate secrets, online banking accounts, and social networking accounts like Facebook. The appearance of botnets in the internet scene over the last decade, and their ever changing behavior has caused real challenges that c...

2011
Jingyu Hua Kouichi Sakurai

As a lot of sophisticated duties are being migrated to mobile phones, they are gradually becoming hot targets of hackers. Actually, during the past few years, It has appeared many malware targeting mobile phones and the situation is getting worse. Under this circumstance, we may ask a serious question: whether can those infected phones be organized to a botnet? In this paper, we present a desig...

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