9 citations · 24 across the 6 of their papers we have counts for
6 papers
A Multi-Agent Adaptive Deep Learning Framework for Online Intrusion Detection
Mahdi Soltani, Khashayar Khajavi, Mahdi Jafari Siavoshani +1
The network security analyzers use intrusion detection systems (IDSes) to distinguish malicious traffic from benign ones. The deep learning-based IDSes are proposed to auto-extract…
An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks
Mahdi Soltani, Behzad Ousat, Mahdi Jafari Siavoshani +1
The intrusion detection system (IDS) is an essential element of security monitoring in computer networks. An IDS distinguishes the malicious traffic from the benign one and determi…
A Content-Based Deep Intrusion Detection System
Mahdi Soltani, Mahdi Jafari Siavoshani, Amir Hossein Jahangir
The growing number of Internet users and the prevalence of web applications make it necessary to deal with very complex software and applications in the network. This results in an…
Digesting Network Traffic for Forensic Investigation Using Digital Signal Processing Techniques
S. Mohammad Hosseini, Amirhossein Jahangir, Mehdi Kazemi
One of the most important practices of cybercrime investigations is to search a network traffic history for an excerpt of traffic, such as the disclosed information of an organizat…
An Effective Payload Attribution Scheme for Cybercriminal Detection Using Compressed Bitmap Index Tables and Traffic Downsampling
S. Mohammad Hosseini, Amirhossein Jahangir
Payload attribution systems (PAS) are one of the most important tools of network forensics for detecting an offender after the occurrence of a cybercrime. A PAS stores the network…
Analysis and Evaluation of Real-time and Safety Characteristics of IEEE 802.11p protocol in VANET
Hossein Ahmadvand, Amir Hossein Jahangir, Ataollah Fatahi Baarzi
The need for safety in transportation systems has increased the popularity and applicability of Vehicular Ad-Hoc Networks (VANETs) in recent years. On-time reception and processing…