A case study on the representativeness of public DoS network traffic data for cybersecurity research

2020 ◽  
Author(s):  
Marta Catillo ◽  
Antonio Pecchia ◽  
Massimiliano Rak ◽  
Umberto Villano
Keyword(s):  
2019 ◽  
Vol 9 (20) ◽  
pp. 4406
Author(s):  
Seongkwan Lee ◽  
Amr Shokri ◽  
Abdullah Al-Mansour

Riyadh, the capital of Saudi Arabia, suffers from traffic congestion like other modern societies, during peak hours but also all day long, even without any incidents. To solve this horrible traffic congestion problem, various efforts have been made from the Active Traffic Management (ATM) aspect. Ramp metering (RM) is one of the representative methods of the ATM and has already proven its value in many locations worldwide. Unfortunately, RM has not yet been fully implemented in Saudi Arabia. This research aimed to assess the applicability of RM to a freeway in Riyadh using microsimulation. The widely known software VISSIM (PTV Planung Transport Verkehr AG, Germany, 1992) was chosen to compare the performances of various RM operating scenarios, such as fixedtime operation with different sub-scenarios and traffic-responsive operation using ALINEA (Asservissement Lineaire d’entree Autoroutiere) algorithm. For the simulations, this study targeted Makkah Road, one of the major freeways in Riyadh, and collected geometrical data and traffic data from that freeway. Analysis of four main scenarios and eight sub-scenarios, proved that overall performance of the fixed-time RM operation is generally good. The sub-scenario 4V3R of the fixed-time RM operation was the best in average queue length reduction. However, the traffic-responsive operation was best in average speed improvement.


Author(s):  
A. Botta ◽  
A. Dainotti ◽  
A. Pescape ◽  
G. Ventre

2018 ◽  
Vol 77 (9) ◽  
pp. 11459-11487 ◽  
Author(s):  
Zichan Ruan ◽  
Yuantian Miao ◽  
Lei Pan ◽  
Yang Xiang ◽  
Jun Zhang

Author(s):  
Seung Bae Jeon ◽  
Muhammad Sarfraz Khan ◽  
Jung Hwan Lee ◽  
Myeong Hun Jeong

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