Publications associées à Cooperation in Multi-hop Cellular Networks

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TEEzz: Fuzzing Trusted Applications on COTS Android Devices

Mathias Josef Payer, Marcel Busch

Security and privacy-sensitive smartphone applications use trusted execution environments (TEEs) to protect sensitive operations from malicious code. By design, TEEs have privileged access to the entire system but expose little to no insight into their inn ...

IEEE COMPUTER SOC2023

Toward Mobile Distributed Ledgers

Boi Faltings, Sujit Prakash Gujar, Dimitrios Chatzopoulos, Anurag Jain

Advances in mobile computing have paved the way for new types of distributed applications that can be executed solely by mobile devices on Device-to-Device (D2D) ecosystems (e.g., crowdsensing). Sophisticated applications, like cryptocurrencies, need distr ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Beam Selection and Tracking for Amplify-and-Forward Repeaters

Andreas Peter Burg, Adrian Schumacher, Ruben Merz

Mobile network operators constantly have to upgrade their cellular network to satisfy the public's hunger for increasing data capacity. However, regulatory limits regarding allowed electromagnetic field strength on existing cell sites often limit or preven ...

IEEE2022

Adding Indoor Capacity without Fiber Backhaul: An mmWave Bridge Prototype

Andreas Peter Burg, Adrian Schumacher, Ruben Merz

Today, a large portion of mobile data traffic is consumed behind the shielding walls of buildings or in the Faraday cage of trains. This renders cellular network coverage from outdoor cell sites difficult. Indoor small cells and distributed antennas along ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Mneme: A Mobile Distributed Ledger

Boi Faltings, Sujit Prakash Gujar, Dimitrios Chatzopoulos

Advances in mobile computing have paved the way for new types of distributed applications that can be executed solely by mobile devices on device-to-device (D2D) ecosystems (e.g., crowdsensing). More sophisticated applications, like cryptocurrencies, need ...

IEEE2020

Employing Attack Graphs for Intrusion Detection

Mathias Josef Payer

Intrusion detection systems are a commonly deployed defense that examines network traffic, host operations, or both to detect attacks. However, more attacks bypass IDS defenses each year, and with the sophistication of attacks increasing as well, we must e ...

ASSOC COMPUTING MACHINERY2019

Distributed Cyber-Attack Detection in the Secondary Control of DC Microgrids

Giancarlo Ferrari Trecate, Pulkit Nahata, Mustafa Sahin Turan

The paper considers the problem of detecting cyber-attacks occurring in communication networks typically used in the secondary control layer of DC microgrids. The proposed distributed methodology allows for scalable monitoring of a microgrid and is able to ...

2018

Distributed Cyber-Attack Detection in the Secondary Control of DC Microgrids

Giancarlo Ferrari Trecate, Pulkit Nahata, Mustafa Sahin Turan

IEEE2018

Cooperation in Multi-hop Cellular Networks

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Chattez avec Graph Search

TEEzz: Fuzzing Trusted Applications on COTS Android Devices

Toward Mobile Distributed Ledgers

Beam Selection and Tracking for Amplify-and-Forward Repeaters

Cellular Fronthauling for Data Capacity Increase in Underserved Spaces

Adding Indoor Capacity without Fiber Backhaul: An mmWave Bridge Prototype

Mneme: A Mobile Distributed Ledger

Employing Attack Graphs for Intrusion Detection

Distributed Cyber-Attack Detection in the Secondary Control of DC Microgrids

Distributed Cyber-Attack Detection in the Secondary Control of DC Microgrids

Toward Mobile Distributed Ledgers

TEEzz: Fuzzing Trusted Applications on COTS Android Devices

Mneme: A Mobile Distributed Ledger

Distributed Cyber-Attack Detection in the Secondary Control of DC Microgrids

Beam Selection and Tracking for Amplify-and-Forward Repeaters

Cellular Fronthauling for Data Capacity Increase in Underserved Spaces

Distributed Cyber-Attack Detection in the Secondary Control of DC Microgrids

Adding Indoor Capacity without Fiber Backhaul: An mmWave Bridge Prototype

Employing Attack Graphs for Intrusion Detection