A Semantic Approach to Host-Based Intrusion Detection Systems Using Contiguousand Discontiguous System Call Patterns

By Gideon Creech, Jiankun Hu. IEEE transactions on computers, 2014

345 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/92b4f173d8c84c7b59ad1822d744c7f8e5ba0871

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Citations in the corpus

Deep Learning Approach for Intelligent Intrusion Detection System (2019, methodology): “1) ADFA Linux (ADFA-LD)/ADFA Windows(ADFA-WD): ADFA-LD is a sequence of system calls dataset which was collected in networks of modern operating systems [62].”
Deep Learning for Anomaly Detection: A Survey (2019, background): “Fraud is a deliberate act of deception to access valuable resources Abdallah et al. [2016]. The PwC global economic crime survey of 2018 Lavion [2018], Zhao [2013] found that half of the 7,200 companies they surveyed had experienced fraud of some nature.”
Survey of intrusion detection systems: techniques, datasets and challenges (2019, methodology): “HIDS can detect insider attacks that do not involve network traffic (Creech & Hu, 2014a).”
A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and challenges (2021, methodology): “Springer Berlin Heidelberg, Berlin, pp 515–518 Creech and Hu (2014) A semantic approach to host-based intrusion detection systems using contiguous and Discontiguous system call patterns.”
A Survey of Stealth Malware Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions (2016, background): “, [170]–[172], there are few modern publicly available datasets for intrusion detection, specifically of stealth malwares.”
Intrusion detection systems for IoT-based smart environments: a survey (2018, background): “A host-based intrusion detection system (HIDS) is designed to be implemented on a single system and to protect that system from intrusions or malicious attacks that will harm its operating system or data [49].”
Smart Grids: A Cyber–Physical Systems Perspective (2016, background): “There are two main types of detection, the host-based IDSs and the networkbased IDSs, where the former rely on known attacks with regular software updates and patching with the latter monitoring the network traffic dynamically to detect any suspicious and unknown attacks [28].”