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Malware Detection and Mitigation
Published in Nicholas Kolokotronis, Stavros Shiaeles, Cyber-Security Threats, Actors, and Dynamic Mitigation, 2021
Gueltoum Bendiab, Stavros Shiaeles, Nick Savage
Suricata supports all standard output and input formats, like YAML and JavaScript Object Notation (JSON) and can be easily integrated with other databases like Kibana, Logstash/Elasticsearch, Splunk, and EveBox. In addition to intrusion detection and prevention capabilities, Suricata can also monitor activities at the lower levels, this includes Transport Layer Security (TLS), User Datagram Protocol (UDP), TCP, Internet Control Message Protocol (ICMP), and IP. This engine integrates an HTTP normalizer and an HTTP parser, which provides very advanced processing of HTTP streams, enabling a better understanding of traffic on all levels of the open systems interconnection (OSI) model [26]. Figure 6.8 illustrates the architecture of Suricata.
Service-Oriented Computing
Published in Vivek Kale, Digital Transformation of Enterprise Architecture, 2019
One benefit that should be obvious with regard to web-based applications is that a RESTful implementation allows a user to bookmark specific queries (or requests) and allows those to be conveyed to others across e-mail and instant messages or to be injected into wikis, etc. Thus, this representation of a path or entry point into an application state becomes highly portable. A RESTFul Web Service is a simple Web Service implemented using HTTP and the principles of REST. Such a Web Service can be thought of as a collection of resources comprising three aspects: The URI for the Web ServiceThe MIME type of the data supported by the Web Service (often JSON, XML, or YAML but can be anything)The set of operations supported by the Web Service using HTTP methods, including but not limited to POST, GET, PUT, and DELETE
Big Data in Medical Image Processing
Published in R. Suganya, S. Rajaram, A. Sheik Abdullah, Big Data in Medical Image Processing, 2018
R. Suganya, S. Rajaram, A. Sheik Abdullah
However, the whole idea behind the document model is that any data associated with a record is stored within the same document. So the need to establish a relationship when using the document model should not be as prevalent as in a relational database. Most relational databases use SQL as the standard query language. Document store databases tend to use other query languages (although some are built to support SQL). Many document databases can be queried using languages such as XQuery, JSON, SPARQL. Document databases are similar to key-value databases in that, there’s a key and a value. Data is stored as a value. Its associated key is the unique identifier for that value. The difference is that, in a document database, the value contains structured or semi-structured data. This structured/semi-structured value is referred to as a document. The structured/semistructured data that makes up the document, can be encoded using one of any number of methods, including XML, JSON, YAML, BSON, etc. It could also be encoded using binary, such as PDFs, MS Office documents, etc.
A creation method of comprehensive cases and specifications for hardware and software combined test to detect undesirable events of an industrial product using HAZOP
Published in SICE Journal of Control, Measurement, and System Integration, 2022
Masakazu Takahashi, Kouji Ueno, Yunarso Anang, Yoshimichi Watanabe
This subsection describes the formats of parameters and guide words. HAZOP creates the deviated states by combining the parameters and guide words. Accordingly, it is desirable to combine, describe, and read those data easily. Additionally, it is desirable to deal with those data formally to improve task efficiency. Therefore, the proposed method describes the parameters and guide words using YAML Ain't Markup Language (YAML) and preserves those descriptions as text files [23]. The YAML format is suitable for describing the data structure and the readability is superior to other markup languages.