In this paper we fully describe a novel clustering method for malware, from the transformation of data into a manipulable standardised data matrix, finding the number of clusters until the clustering itself including visualisation of the high-dimensional data. Our clustering method deals well with categorical data and clusters the behavioural data of 17,000 websites, acquired with Capture-HPC, in less than 2 minutesPeer reviewedFinal Accepted Versio
Clustering algorithms have become a popular tool in computer security to analyze the behavior of mal...
\u3cp\u3eEach day, anti-virus companies receive tens of thousands samples of potentially harmful exe...
Use of internet has enhanced the problem of malwares. At the same time the advancement in technology...
In this paper we fully describe a novel clustering method for malware, from the transformation of da...
This paper describes a novel method aiming to cluster datasets containing malware behavioural data. ...
Anti-malware companies receive thousands of malware samples every day. To process this large quantit...
abstract: Malware forensics is a time-consuming process that involves a significant amount of data c...
The numbers and diversity of malware variants grows exponentially over the years, and there is a nee...
Malware samples has increased exponentially over the years, and there is a need to improve the effic...
Anti-malware vendors receive several thousand new malware (malicious software) variants per day. Due...
Finding meaningful clusters in drive-by-download malware data is a particularly difficult task. Malw...
Malware undoubtedly have become a major threat in modern society and their numbers are growing daily...
Clustering algorithms have become a popular tool in com-puter security to analyze the behavior of ma...
A large number of today’s botnets leverage the HTTP protocol to communicate with their botmasters or...
Malicious software – so called malware – poses a major threat to the security of computer systems. T...
Clustering algorithms have become a popular tool in computer security to analyze the behavior of mal...
\u3cp\u3eEach day, anti-virus companies receive tens of thousands samples of potentially harmful exe...
Use of internet has enhanced the problem of malwares. At the same time the advancement in technology...
In this paper we fully describe a novel clustering method for malware, from the transformation of da...
This paper describes a novel method aiming to cluster datasets containing malware behavioural data. ...
Anti-malware companies receive thousands of malware samples every day. To process this large quantit...
abstract: Malware forensics is a time-consuming process that involves a significant amount of data c...
The numbers and diversity of malware variants grows exponentially over the years, and there is a nee...
Malware samples has increased exponentially over the years, and there is a need to improve the effic...
Anti-malware vendors receive several thousand new malware (malicious software) variants per day. Due...
Finding meaningful clusters in drive-by-download malware data is a particularly difficult task. Malw...
Malware undoubtedly have become a major threat in modern society and their numbers are growing daily...
Clustering algorithms have become a popular tool in com-puter security to analyze the behavior of ma...
A large number of today’s botnets leverage the HTTP protocol to communicate with their botmasters or...
Malicious software – so called malware – poses a major threat to the security of computer systems. T...
Clustering algorithms have become a popular tool in computer security to analyze the behavior of mal...
\u3cp\u3eEach day, anti-virus companies receive tens of thousands samples of potentially harmful exe...
Use of internet has enhanced the problem of malwares. At the same time the advancement in technology...