The evolution and expansion of IoT devices reduced human efforts, increased resource utilization, saved time; however, create significant challenges such as lack security privacy, making them more vulnerable to IoT-based botnet attacks. There is a need develop efficient faster models which can work in real-time with efficiency stability. present investigation developed two novels, Deep Neural N...

Botnets are large networks of infected computers controlled by an attacker. Much effort has already been invested in the detection and analysis mechanisms, capable of defusing this type of threat. However, botnets have been constantly evolving, and will certainly continue to do so. We must, therefore, make an effort to foresee and study possible future designs, if we are to be capable of timely...

A botnet is a network of compromised hosts that fulfills the malicious intents of an attacker. Once installed, a bot is typically used to steal sensitive information, send SPAM, perform DDoS attacks, and other illegal activities. Research in botnet detection has been quite prolific in the past years, producing detection mechanisms that focus on specific command and control structures, or on the...

The prevalence of botnets, which is defined as a group of infected machines, have become the predominant factor among all the internet malicious attacks such as DDoS, Spam, and Click fraud. The number of botnets is steadily increasing, and the characteristic C&C channels have evolved from IRC to HTTP, FTP, and DNS, etc., and from the centralized structure to P2P and Fast Flux Network Services. ...

Botnets have become the main vehicle to conduct online crimes such as DDoS, spam, phishing and identity theft. Even though numerous efforts have been directed towards detection of botnets, evolving evasion techniques easily thwart detection. Moreover, existing approaches can be overwhelmed by the large amount of data needed to be analyzed. In this paper, we propose a light-weight mechanism to d...

Many Twitter users are bots. They can be used for spamming, opinion manipulation and online fraud. Recently, we discovered the Star Wars botnet, consisting of more than 350,000 bots tweeting random quotations exclusively from Star Wars novels. The bots were exposed because they tweeted uniformly from any location within two rectangle-shaped geographic zones covering Europe and the USA, includin...

In recent years, an increasing number of botnets use Domain Generation Algorithms (DGAs) to bypass botnet detection systems. DGAs, also referred as “domain fluxing”, has been used since 2004 for botnet controllers, and now become an emerging trend for malware. It can dynamically and frequently generate a large number of random domain names which are used to prevent security systems from detecti...

Botnets, as networks of compromised “zombie” computers, represent one of the most serious security threats on the Internet today. This paper explores how machines compromised with bot malware can be identified at local and enterprise networks in accurate and time-efficient manner. The paper introduces a novel multi-level botnet detection approach that performs network traffic analysis of three ...

Recently, malware attacks have become more serious over the Internet by e-mail, denial of service (DoS) or distributed denial of service (DDoS). The Botnets have become a significant part of the Internet malware attacks. The traditional botnets include three parts – botmaster, command and control (C&C) servers and bots. The C&C servers receive commands from botmaster and control the distributio...