Correlation-based Botnet Detection in Enterprise Networks
نویسنده
چکیده
منابع مشابه
HF-Blocker: Detection of Distributed Denial of Service Attacks Based On Botnets
Abstract—Today, botnets have become a serious threat to enterprise networks. By creation of network of bots, they launch several attacks, distributed denial of service attacks (DDoS) on networks is a sample of such attacks. Such attacks with the occupation of system resources, have proven to be an effective method of denying network services. Botnets that launch HTTP packet flood attacks agains...
متن کاملBotOnus: an online unsupervised method for Botnet detection
Botnets are recognized as one of the most dangerous threats to the Internet infrastructure. They are used for malicious activities such as launching distributed denial of service attacks, sending spam, and leaking personal information. Existing botnet detection methods produce a number of good ideas, but they are far from complete yet, since most of them cannot detect botnets in an early stage ...
متن کاملBotRevealer: Behavioral Detection of Botnets based on Botnet Life-cycle
Nowadays, botnets are considered as essential tools for planning serious cyberattacks. Botnets are used to perform various malicious activities such as DDoSattacks and sending spam emails. Different approaches are presented to detectbotnets; however most of them may be ineffective when there are only a fewinfected hosts in monitored network, as they rely on similarity in...
متن کاملDetecting bots using multi- level traffic analysis
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 ...
متن کاملPerformance of Botnet Detection by Neural Networks in Software-Defined Networks
The recent evolution of Internet to new paradigms such as network function virtualization and software defined networking poses new relevant challenges to the detection of Botnet attacks, calling for innovative approaches. In this work we propose a detection mechanism based on an Artificial Neural Net classifier trained by available data sets collected in conventional networks. We apply such de...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008