Identification of malicious activities in industrial internet of things based on deep learning models
Abstract Internet Industrial Control Systems (IICSs) that connect technological appliances
and services with physical systems have become a new direction of research as they face …
and services with physical systems have become a new direction of research as they face …
A hybrid intrusion detection system based on ABC-AFS algorithm for misuse and anomaly detection
V Hajisalem, S Babaie - Computer Networks, 2018 - Elsevier
Due to the widespread use of the internet, computer systems are prone to information theft
that has led to the emergence of Intrusion Detection Systems (IDSs). Various approaches …
that has led to the emergence of Intrusion Detection Systems (IDSs). Various approaches …
A new threat intelligence scheme for safeguarding industry 4.0 systems
Industry 4.0 represents the fourth phase of industry and manufacturing revolution, unique in
that it provides Internet-connected smart systems, including automated factories …
that it provides Internet-connected smart systems, including automated factories …
Towards developing network forensic mechanism for botnet activities in the IoT based on machine learning techniques
The IoT is a network of interconnected everyday objects called “things” that have been
augmented with a small measure of computing capabilities. Lately, the IoT has been affected …
augmented with a small measure of computing capabilities. Lately, the IoT has been affected …
An effective deep learning based scheme for network intrusion detection
H Zhang, CQ Wu, S Gao, Z Wang… - 2018 24th International …, 2018 - ieeexplore.ieee.org
Intrusion detection systems (IDS) play an important role in the protection of network
operations and services. In this paper, we propose an effective network intrusion detection …
operations and services. In this paper, we propose an effective network intrusion detection …
Generalized outlier gaussian mixture technique based on automated association features for simulating and detecting web application attacks
Web application attacks constitute considerable security threats to computer networks and
end users. Existing threat detection methods are mostly designed on signature-based …
end users. Existing threat detection methods are mostly designed on signature-based …
Распределенная система обнаружения вторжений с защитой от внутреннего нарушителя
СИ Штеренберг, МА Полтавцева - Проблемы информационной …, 2018 - elibrary.ru
Защита современных распределенных информационных сетей от внешних и
внутренних нарушителей продолжает оставаться актуальной в связи с развитием …
внутренних нарушителей продолжает оставаться актуальной в связи с развитием …
A distributed intrusion detection system with protection from an internal intruder
SI Shterenberg, MA Poltavtseva - Automatic Control and Computer …, 2018 - Springer
The protection of modern distributed information networks from external and internal
intruders continues to be of great importance due to the development of data transmission …
intruders continues to be of great importance due to the development of data transmission …
Probability risk identification based intrusion detection system for SCADA systems
T Marsden, N Moustafa, E Sitnikova… - Mobile Networks and …, 2018 - Springer
Abstract As Supervisory Control and Data Acquisition (SCADA) systems control several
critical infrastructures, they have connected to the internet. Consequently, SCADA systems …
critical infrastructures, they have connected to the internet. Consequently, SCADA systems …
Risk identification-based association rule mining for supply chain big data
Since most supply chain processes include operational risks, the effectiveness of a
corporation's success depends mainly on identifying, analyzing and managing them …
corporation's success depends mainly on identifying, analyzing and managing them …