Add to ORKGAn approach to the analysis of HAL/S software is discussed. The approach, called anomaly detection, involves the algorithmic derivation of information concerning potential errors and the subsequent, possibly non-algorithmic determination of whether or not the reported anomalies are actual errors. We give detailed designs for algorithms for detecting data-usage and synchronization anomalies and discuss how this technique may be integrated within a general software development support system
Anomaly detection is the problem of identifying data points or patterns that do not conform to norma...
This paper presents a new machine-learning technique that performs anomaly detection as software is ...
This work studies systems and methods for anomaly detection in computer networks. At first, basic ca...
An approach to the analysis of concurrent software is discussed. The approach, called anomaly detect...
A review of work on the occurrence and detection of errors in computer programs is presented. This i...
Algorithms are presented for detecting errors and anomalies in programs which use synchronization co...
Abstract. Program anomaly detection analyzes normal program be-haviors and discovers aberrant execut...
I present RAACD, a software suite that detects misbehaving computers in large computing systems and ...
The inconsistency is a major problem in security of information in computer is two ways: data incons...
Nowadays, when multiple aspects of our life depend on complex cyber-physical systems, automated anom...
The object of this study was the process of detecting anomalies in computer systems. The task to tim...
This paper discusses our research in developing a generalized and systematic method for anomaly dete...
Detecting anomalous program behaviors is an important approach to protect personal computers and org...
Anomaly detection is the task of identifying observations in a dataset that do not conform the expec...
This paper contains review of algorithms, methods and tools nowadays used for anomaly detection.Anom...
Anomaly detection is the problem of identifying data points or patterns that do not conform to norma...
This paper presents a new machine-learning technique that performs anomaly detection as software is ...
This work studies systems and methods for anomaly detection in computer networks. At first, basic ca...
An approach to the analysis of concurrent software is discussed. The approach, called anomaly detect...
A review of work on the occurrence and detection of errors in computer programs is presented. This i...
Algorithms are presented for detecting errors and anomalies in programs which use synchronization co...
Abstract. Program anomaly detection analyzes normal program be-haviors and discovers aberrant execut...
I present RAACD, a software suite that detects misbehaving computers in large computing systems and ...
The inconsistency is a major problem in security of information in computer is two ways: data incons...
Nowadays, when multiple aspects of our life depend on complex cyber-physical systems, automated anom...
The object of this study was the process of detecting anomalies in computer systems. The task to tim...
This paper discusses our research in developing a generalized and systematic method for anomaly dete...
Detecting anomalous program behaviors is an important approach to protect personal computers and org...
Anomaly detection is the task of identifying observations in a dataset that do not conform the expec...
This paper contains review of algorithms, methods and tools nowadays used for anomaly detection.Anom...
Anomaly detection is the problem of identifying data points or patterns that do not conform to norma...
This paper presents a new machine-learning technique that performs anomaly detection as software is ...
This work studies systems and methods for anomaly detection in computer networks. At first, basic ca...