Search Results for author: Mahdi Jafari Siavoshani

Found 9 papers, 1 papers with code

Intelligent Reflecting Surfaces for Compute-and-Forward

no code implementations14 Jan 2021 Mahdi Jafari Siavoshani, Seyed Pooya Shariatpanahi

Compute-and-forward is a promising strategy to tackle interference and obtain high rates between the transmitting users in a wireless network.

Information Theory Networking and Internet Architecture Information Theory

Machine Learning Interpretability Meets TLS Fingerprinting

no code implementations12 Nov 2020 Mahdi Jafari Siavoshani, Amir Hossein Khajepour, Amirmohammad Ziaei, Amir Ali Gatmiri, Ali Taheri

Protecting users' privacy over the Internet is of great importance; however, it becomes harder and harder to maintain due to the increasing complexity of network protocols and components.

BIG-bench Machine Learning

A Variational Auto-Encoder Approach for Image Transmission in Wireless Channel

no code implementations8 Oct 2020 Amir Hossein Estiri, Mohammad Reza Sabramooz, Ali Banaei, Amir Hossein Dehghan, Benyamin Jamialahmadi, Mahdi Jafari Siavoshani

Recent advancements in information technology and the widespread use of the Internet have led to easier access to data worldwide.


On Multi-Session Website Fingerprinting over TLS Handshake

no code implementations19 Sep 2020 Aida Ramezani, Amirhossein Khajehpour, Mahdi Jafari Siavoshani

In this paper, we propose a deep learning approach to generate a multi-label classifier that can predict the websites visited by a user in a certain period.

Anomaly Detection Recommendation Systems

A Content-Based Deep Intrusion Detection System

no code implementations14 Jan 2020 Mahdi Soltani, Mahdi Jafari Siavoshani, Amir Hossein Jahangir

In this work, we propose a framework, called deep intrusion detection (DID) system, that uses the pure content of traffic flows in addition to traffic metadata in the learning and detection phases of a passive DNN IDS.

BIG-bench Machine Learning Intrusion Detection

Adaptive Online Learning for Gradient-Based Optimizers

no code implementations1 Jun 2019 Saeed Masoudian, Ali Arabzadeh, Mahdi Jafari Siavoshani, Milad Jalal, Alireza Amouzad

Finally, as a representative application of our proposed algorithm, we study the problem of learning the best regularizer from a family of regularizers for Online Mirror Descent.

Deep Packet: A Novel Approach For Encrypted Traffic Classification Using Deep Learning

5 code implementations8 Sep 2017 Mohammad Lotfollahi, Ramin Shirali Hossein Zade, Mahdi Jafari Siavoshani, Mohammdsadegh Saberian

Our proposed scheme, called "Deep Packet," can handle both \emph{traffic characterization} in which the network traffic is categorized into major classes (\eg, FTP and P2P) and application identification in which end-user applications (\eg, BitTorrent and Skype) identification is desired.

General Classification Traffic Classification

Low-Complexity Stochastic Generalized Belief Propagation

no code implementations6 May 2016 Farzin Haddadpour, Mahdi Jafari Siavoshani, Morteza Noshad

However, this reduction can be larger than only one order of magnitude in alphabet size.

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