Informatika, Author at Program Studi S1 Informatika

Machine Learning-Driven Scaling and Placement of Virtual Network Functions at the Network Edges

January 21, 2023 in Publikasi /by Informatika

Machine Learning-Driven Scaling and Placement of Virtual Network Functions at the Network Edges by Tejas Subramanya, Roberto Riggio 2019 IEEE Conference on Network Softwarization (NetSoft) Network Function Virtualization is a promising technology that proposes to decouple the network functions from their underlying hardware and transform them into software entities called Virtual Network Functions (VNFs). This […]

Botnet detection based on network flow summary and deep learning

January 14, 2023 in Publikasi /by Informatika

Botnet detection based on network flow summary and deep learning by Abdurrahman Pektaş, Tankut Acarman International Journal of Network Management A botnet is a group of compromised Internet-connected devices controlled remotely by cyber criminals to launch coordinated attacks and to perform various malicious activities. Since botnets continuously adapt themselves to the evolving countermeasures introduced by […]

Network anomaly detection based on logistic regression of nonlinear chaotic invariants

January 13, 2023 in Publikasi /by Informatika

Network anomaly detection based on logistic regression of nonlinear chaotic invariants by Francesco Palmieri Journal of Network and Computer Applications Network anomaly detection has the essential goal of reliably identifying malicious activities within traffic observations collected at specific monitoring points, in order to raise alarms and timely trigger specific reactions and countermeasures. This, ideally, should […]

Reliability for Smart Healthcare: A Network Slicing Perspective

January 11, 2023 in Publikasi /by Informatika

Reliability for Smart Healthcare: A Network Slicing Perspective by Andressa Vergutz, Guevara Noubir, Michele Nogueira Institute of Electrical and Electronics Engineers (IEEE) Pursuing improvements in the healthcare system is mandatory for its efficiency and cost reduction. The fast popularization of implantable and wearable sensors promotes the diversity of healthcare applications and services, ranging from real-time […]

Learning-Assisted Secure End-to-End Network Slicing for Cyber-Physical Systems

January 10, 2023 in Publikasi /by Informatika

Learning-Assisted Secure End-to-End Network Slicing for Cyber-Physical Systems by Qiang Liu, Tao Han, Nirwan Ansari Institute of Electrical and Electronics Engineers (IEEE) There is a pressing need to interconnect physical systems such as power grid and vehicles for efficient management and safe operations. Due to the diverse features of physical systems, there is hardly a […]