Run-time behavior of processes – running on an end-host – is being actively used to dynamically detect malware. Most of these detection schemes build model of run-time behavior of a process on the basis of its data flow and/or sequence of system calls. These novel techniques have shown promising results but an efficient and effective technique must meet the following performance metrics: (1) high detection accuracy, (2) low false alarm rate, (3) small detection time, and (4) the technique should be resilient to run-time evasion attempts. To meet these challenges, a novel concept of genetic footprint is proposed, by mining the information in the kernel Process Control Blocks (PCB) of a process, that can be used to detect malicious processes ...
Malware are become increasingly aware of their execution environment. In order to avoid detection by...
Perimeter-based detection is no longer sufficient for mitigating the threat posed by malicious softw...
Malware programs, such as viruses, worms, Trojans, etc., are a worldwide epidemic in the digital wor...
Abstract—In this paper, we present a novel framework – it uses the information in kernel structures ...
The sophistication of computer malware is becoming a se-rious threat to the information technology i...
N-gram analysis is an approach that investigates the structure of a program using bytes, characters ...
With billions of networked connected embedded systems, the security historically provided by the iso...
Malicious software (malware) causes increasingly devastating social and financial losses each year. ...
We identify a new method for detecting malware within a network that can be processed in linear time...
Digital forensic investigators commonly use dynamic malware analysis methods to analyze a suspect ex...
Malware (Malicious Software) is any software which performs malicious activities on computer-based s...
According to recent security analysis reports, malicious software (a.k.a. malware) is rising at an a...
Recent work has investigated the use of hardware perfor- mance counters (HPCs) for the detection of ...
In order to avoid detection, malware can disguise itself as a legitimate program or hijack system pr...
Malware is software code that has malicious intent. In recent years, there have beenhuge changes in ...
Malware are become increasingly aware of their execution environment. In order to avoid detection by...
Perimeter-based detection is no longer sufficient for mitigating the threat posed by malicious softw...
Malware programs, such as viruses, worms, Trojans, etc., are a worldwide epidemic in the digital wor...
Abstract—In this paper, we present a novel framework – it uses the information in kernel structures ...
The sophistication of computer malware is becoming a se-rious threat to the information technology i...
N-gram analysis is an approach that investigates the structure of a program using bytes, characters ...
With billions of networked connected embedded systems, the security historically provided by the iso...
Malicious software (malware) causes increasingly devastating social and financial losses each year. ...
We identify a new method for detecting malware within a network that can be processed in linear time...
Digital forensic investigators commonly use dynamic malware analysis methods to analyze a suspect ex...
Malware (Malicious Software) is any software which performs malicious activities on computer-based s...
According to recent security analysis reports, malicious software (a.k.a. malware) is rising at an a...
Recent work has investigated the use of hardware perfor- mance counters (HPCs) for the detection of ...
In order to avoid detection, malware can disguise itself as a legitimate program or hijack system pr...
Malware is software code that has malicious intent. In recent years, there have beenhuge changes in ...
Malware are become increasingly aware of their execution environment. In order to avoid detection by...
Perimeter-based detection is no longer sufficient for mitigating the threat posed by malicious softw...
Malware programs, such as viruses, worms, Trojans, etc., are a worldwide epidemic in the digital wor...