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20172025
most citedAlert Correlation Algorithms: A Survey and Taxonomy

50 citations · 64 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.CR2021★ 1 cited

Mal2GCN: A Robust Malware Detection Approach Using Deep Graph Convolutional Networks With Non-Negative Weights

Omid Kargarnovin, Amir Mahdi Sadeghzadeh, Rasool Jalili

With the growing pace of using Deep Learning (DL) to solve various problems, securing these models against adversaries has become one of the main concerns of researchers. Recent st…

cs.CR2020

AWA: Adversarial Website Adaptation

Amir Mahdi Sadeghzadeh, Behrad Tajali, Rasool Jalili

One of the most important obligations of privacy-enhancing technologies is to bring confidentiality and privacy to users' browsing activities on the Internet. The website fingerpri…

cs.CR2020★ 1 cited

Adversarial Network Traffic: Towards Evaluating the Robustness of Deep Learning-Based Network Traffic Classification

Amir Mahdi Sadeghzadeh, Saeed Shiravi, Rasool Jalili

Network traffic classification is used in various applications such as network traffic management, policy enforcement, and intrusion detection systems. Although most applications e…

cs.CR2018★ 5 cited

Two Novel Server-Side Attacks against Log File in Shared Web Hosting Servers

Seyed Ali Mirheidari, Sajjad Arshad, Saeidreza Khoshkdahan +1

Shared Web Hosting service enables hosting multitude of websites on a single powerful server. It is a well-known solution as many people share the overall cost of server maintenanc…

cs.CR2018★ 6 cited

A Comprehensive Approach to Abusing Locality in Shared Web Hosting Servers

Seyed Ali Mirheidari, Sajjad Arshad, Saeidreza Khoshkdahan +1

With the growing of network technology along with the need of human for social interaction, using websites nowadays becomes critically important which leads in the increasing numbe…

cs.CR2018★ 50 cited

Alert Correlation Algorithms: A Survey and Taxonomy

Seyed Ali Mirheidari, Sajjad Arshad, Rasool Jalili

Alert correlation is a system which receives alerts from heterogeneous Intrusion Detection Systems and reduces false alerts, detects high level patterns of attacks, increases the m…

cs.CR2017

Statistical Disclosure: Improved, Extended, and Resisted

Navid Emamdoost, Mohammad Sadeq Dousti, Rasool Jalili

Traffic analysis is a type of attack on secure communications systems, in which the adversary extracts useful patterns and information from the observed traffic. This paper improve…