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1. Arax: A Runtime Framework for Decoupling Applications from Heterogeneous Accelerators

Author

Pavlidakis, Manos, Mavridis, Stelios, Chazapis, Antony, Vasiliadis, Giorgos, and Bilas, Angelos

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

Today, using multiple heterogeneous accelerators efficiently from applications and high-level frameworks, such as TensorFlow and Caffe, poses significant challenges in three respects: (a) sharing accelerators, (b) allocating available resources elastically during application execution, and (c) reducing the required programming effort. In this paper, we present Arax, a runtime system that decouples applications from heterogeneous accelerators within a server. First, Arax maps application tasks dynamically to available resources, managing all required task state, memory allocations, and task dependencies. As a result, Arax can share accelerators across applications in a server and adjust the resources used by each application as load fluctuates over time. dditionally, Arax offers a simple API and includes Autotalk, a stub generator that automatically generates stub libraries for applications already written for specific accelerator types, such as NVIDIA GPUs. Consequently, Arax applications are written once without considering physical details, including the number and type of accelerators. Our results show that applications, such as Caffe, TensorFlow, and Rodinia, can run using Arax with minimum effort and low overhead compared to native execution, about 12% (geometric mean). Arax supports efficient accelerator sharing, by offering up to 20% improved execution times compared to NVIDIA MPS, which supports NVIDIA GPUs only. Arax can transparently provide elasticity, decreasing total application turn-around time by up to 2x compared to native execution without elasticity support.

Published
2023

2. Pythia: Scheduling of Concurrent Network packet Processing Applications on Heterogeneous Devices [EXTENDED VERSION]

Author

Giakoumakis, Giannis, Papadogiannaki, Eva, Vasiliadis, Giorgos, and Ioannidis, Sotiris

Subjects
Computer Science - Networking and Internet Architecture, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Performance
Abstract

Modern commodity computing systems are composed by a number of different heterogeneous processing units, each of which has its own unique performance and energy characteristics. However, the majority of current network packet processing frameworks targets only a specific processing unit (either the CPU or accelerator), leaving the remaining computational resources under-utilized or even idle. In this paper, we propose an adaptive scheduling approach for network packet processing applications, that supports any heterogeneous and asymmetric architectures that can be found in a commodity high-end hardware setup. Our scheduler not only distributes the workloads to the appropriate devices in the system to achieve the desired performance results, but also enables the multiplexing of diverse network packet processing applications that execute concurrently, eliminating the interference effects introduced at runtime. The evaluation results show that our scheduler is able to tackle interferences in the shared hardware resources as well to respond quickly to dynamic fluctuations (e.g., application overloads, traffic bursts, infrastructural changes, etc.) that may occur at real time.

Published
2022

4. Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case

Author

Alexopoulos, Andreas, Becerra, Yolanda, Boehm, Omer, Bravos, George, Chatzigiannakis, Vassilis, Cugnasco, Cesare, Demetriou, Giorgos, Eleftheriou, Iliada, Fotis, Spiros, Genchi, Gianmarco, Ioannidis, Sotiris, Jakovetic, Dusan, Kallipolitis, Leonidas, Katusic, Vlatka, Kavakli, Evangelia, Kopanaki, Despina, Leventis, Christoforos, Martínez, Miquel, Mascolo, Julien, Milosevic, Nemanja, Montanera, Enric Pere Pages, Ristow, Gerald, Ruiz-Ocampo, Hernan, Sakellariou, Rizos, Sirvent, Raül, Skrbic, Srdjan, Spais, Ilias, Spennacchio, Giuseppe Danilo, Stamenkovic, Dusan, Vasiliadis, Giorgos, Vinov, Michael, Curry, Edward, editor, Auer, Sören, editor, Berre, Arne J., editor, Metzger, Andreas, editor, Perez, Maria S., editor, and Zillner, Sonja, editor

Published
2022
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5. Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case

Author

Alexopoulos, Andreas, Becerra, Yolanda, Boehm, Omer, Bravos, George, Chatzigiannakis, Vasilis, Cugnasco, Cesare, Demetriou, Giorgos, Eleftheriou, Iliada, Fodor, Lidija, Fotis, Spiros, Ioannidis, Sotiris, Jakovetic, Dusan, Kallipolitis, Leonidas, Katusic, Vlatka, Kavakli, Evangelia, Kopanaki, Despina, Leventis, Christoforos, Marcos, Mario Maawad, de Pozuelo, Ramon Martin, Martínez, Miquel, Milosevic, Nemanja, Montanera, Enric Pere Pages, Ristow, Gerald, Ruiz-Ocampo, Hernan, Sakellariou, Rizos, Sirvent, Raül, Skrbic, Srdjan, Spais, Ilias, Vasiliadis, Giorgos, Vinov, Michael, Curry, Edward, editor, Auer, Sören, editor, Berre, Arne J., editor, Metzger, Andreas, editor, Perez, Maria S., editor, and Zillner, Sonja, editor

Published
2022
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6. Hard Edges: Hardware-Based Control-Flow Integrity for Embedded Devices

Author

Christou, George, Vasiliadis, Giorgos, Athanasopoulos, Elias, Ioannidis, Sotiris, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Orailoglu, Alex, editor, Jung, Matthias, editor, and Reichenbach, Marc, editor

Published
2022
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8. Master of Web Puppets: Abusing Web Browsers for Persistent and Stealthy Computation

Author

Papadopoulos, Panagiotis, Ilia, Panagiotis, Polychronakis, Michalis, Markatos, Evangelos P., Ioannidis, Sotiris, and Vasiliadis, Giorgos

Subjects
Computer Science - Cryptography and Security
Abstract

The proliferation of web applications has essentially transformed modern browsers into small but powerful operating systems. Upon visiting a website, user devices run implicitly trusted script code, the execution of which is confined within the browser to prevent any interference with the user's system. Recent JavaScript APIs, however, provide advanced capabilities that not only enable feature-rich web applications, but also allow attackers to perform malicious operations despite the confined nature of JavaScript code execution. In this paper, we demonstrate the powerful capabilities that modern browser APIs provide to attackers by presenting MarioNet: a framework that allows a remote malicious entity to control a visitor's browser and abuse its resources for unwanted computation or harmful operations, such as cryptocurrency mining, password-cracking, and DDoS. MarioNet relies solely on already available HTML5 APIs, without requiring the installation of any additional software. In contrast to previous browser-based botnets, the persistence and stealthiness characteristics of MarioNet allow the malicious computations to continue in the background of the browser even after the user closes the window or tab of the initial malicious website. We present the design, implementation, and evaluation of a prototype system, MarioNet, that is compatible with all major browsers, and discuss potential defense strategies to counter the threat of such persistent in-browser attacks. Our main goal is to raise awareness regarding this new class of attacks, and inform the design of future browser APIs so that they provide a more secure client-side environment for web applications.

Published
2018

10. Andromeda: Enabling Secure Enclaves for the Android Ecosystem

Author

Deyannis, Dimitris, Karnikis, Dimitris, Vasiliadis, Giorgos, Ioannidis, Sotiris, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Joseph K., editor, Katsikas, Sokratis, editor, Meng, Weizhi, editor, Susilo, Willy, editor, and Intan, Rolly, editor

Published
2021
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11. I-BiDaaS: Industrial-Driven Big Data as a Self-service Solution

Author

Vasiliadis, Giorgos, Jakovetic, Dusan, Spais, Ilias, Ioannidis, Sotiris, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Fazio, Maria, editor, and Zimmermann, Wolf, editor

Published
2020
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13. The Anatomy of Mitos Web Search Engine

Author

Papadakos, Panagiotis, Vasiliadis, Giorgos, Theoharis, Yannis, Armenatzoglou, Nikos, Kopidaki, Stella, Marketakis, Yannis, Daskalakis, Manos, Karamaroudis, Kostas, Linardakis, Giorgos, Makrydakis, Giannis, Papathanasiou, Vangelis, Sardis, Lefteris, Tsialiamanis, Petros, Troullinou, Georgia, Vandikas, Kostas, Velegrakis, Dimitris, and Tzitzikas, Yannis

Subjects
Computer Science - Information Retrieval
Abstract

Engineering a Web search engine offering effective and efficient information retrieval is a challenging task. This document presents our experiences from designing and developing a Web search engine offering a wide spectrum of functionalities and we report some interesting experimental results. A rather peculiar design choice of the engine is that its index is based on a DBMS, while some of the distinctive functionalities that are offered include advanced Greek language stemming, real time result clustering, and advanced link analysis techniques (also for spam page detection).

Published
2008

14. No Sugar but All the Taste! Memory Encryption Without Architectural Support

Author

Papadopoulos, Panagiotis, Vasiliadis, Giorgos, Christou, Giorgos, Markatos, Evangelos, Ioannidis, Sotiris, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Foley, Simon N., editor, Gollmann, Dieter, editor, and Snekkenes, Einar, editor

Published
2017
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15. GRIM: Leveraging GPUs for Kernel Integrity Monitoring

Author

Koromilas, Lazaros, Vasiliadis, Giorgos, Athanasopoulos, Elias, Ioannidis, Sotiris, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Monrose, Fabian, editor, Dacier, Marc, editor, Blanc, Gregory, editor, and Garcia-Alfaro, Joaquin, editor

Published
2016
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16. WRIT: Web Request Integrity and Attestation Against Malicious Browser Extensions

Author

Vasiliadis, Giorgos, Karampelas, Apostolos, Shevtsov, Alexandros, Papadopoulos, Panagiotis, Ioannidis, Sotiris, and Kapravelos, Alexandros

Abstract

The powerful capabilities of modern browsers have pushed the web application logic to the user side, in order to minimize latency, increase scalability of the service and improve users’ quality of experience. What is more, browsers provide a rich toolchest for browser extensions to provide additional functionality, but at the same time enable them to become a powerful vehicle for malicious actors. Such actors may spy, phish or fraud users, thus making the user's browser untrusted for the web servers. In this article, we present WRIT, a practical framework that enables websites to protect critical functionality from abuse in the presence of malicious extensions. In WRIT, the integrity of outgoing web requests is attested and verified to ensure they were triggered by a user's action and not automatically generated by a malicious browser extension. WRIT is immediately applicable by leveraging existing HTML5 and other native browser features and does not require any modification of the browser. Performance results of our prototype show that it adds a negligible 7.29 ms latency to sensitive user-triggered actions (e.g., post message).

Published
2024
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18. GPU-Disasm: A GPU-Based X86 Disassembler

Author

Ladakis, Evangelos, Vasiliadis, Giorgos, Polychronakis, Michalis, Ioannidis, Sotiris, Portokalidis, Georgios, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Lopez, Javier, editor, and Mitchell, Chris J., editor

Published
2015
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20. Arax

Author

Pavlidakis, Manos, primary, Mavridis, Stelios, additional, Chazapis, Antony, additional, Vasiliadis, Giorgos, additional, and Bilas, Angelos, additional

Published
2022
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21. GrAVity: A Massively Parallel Antivirus Engine

Author

Vasiliadis, Giorgos, Ioannidis, Sotiris, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Jha, Somesh, editor, Sommer, Robin, editor, and Kreibich, Christian, editor

Published
2010
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22. Regular Expression Matching on Graphics Hardware for Intrusion Detection

Author

Vasiliadis, Giorgos, Polychronakis, Michalis, Antonatos, Spiros, Markatos, Evangelos P., Ioannidis, Sotiris, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Kirda, Engin, editor, Jha, Somesh, editor, and Balzarotti, Davide, editor

Published
2009
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23. Gnort: High Performance Network Intrusion Detection Using Graphics Processors

Author

Vasiliadis, Giorgos, Antonatos, Spiros, Polychronakis, Michalis, Markatos, Evangelos P., Ioannidis, Sotiris, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Lippmann, Richard, editor, Kirda, Engin, editor, and Trachtenberg, Ari, editor

Published
2008
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26. Arax: a runtime framework for decoupling applications from heterogeneous accelerators

Author

Pavlidakis, Manos, Mavridis, Stelios, Chazapis, Antony, Vasiliadis, Giorgos, and Bilas, Angelos

Subjects
FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control
Abstract

Today, using multiple heterogeneous accelerators efficiently from applications and high-level frameworks, such as TensorFlow and Caffe, poses significant challenges in three respects: (a) sharing accelerators, (b) allocating available resources elastically during application execution, and (c) reducing the required programming effort. In this paper, we present Arax, a runtime system that decouples applications from heterogeneous accelerators within a server. First, Arax maps application tasks dynamically to available resources, managing all required task state, memory allocations, and task dependencies. As a result, Arax can share accelerators across applications in a server and adjust the resources used by each application as load fluctuates over time. dditionally, Arax offers a simple API and includes Autotalk, a stub generator that automatically generates stub libraries for applications already written for specific accelerator types, such as NVIDIA GPUs. Consequently, Arax applications are written once without considering physical details, including the number and type of accelerators. Our results show that applications, such as Caffe, TensorFlow, and Rodinia, can run using Arax with minimum effort and low overhead compared to native execution, about 12% (geometric mean). Arax supports efficient accelerator sharing, by offering up to 20% improved execution times compared to NVIDIA MPS, which supports NVIDIA GPUs only. Arax can transparently provide elasticity, decreasing total application turn-around time by up to 2x compared to native execution without elasticity support.

Published
2022
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29. Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned

Author

Bravos, George, primary, Cabrera, Antonio J., additional, Correa, Camilo, additional, Danilovic, Dragan, additional, Evangeliou, Nikolaos, additional, Ezov, Gilad, additional, Gajica, Zoran, additional, Jakovetic, Dusan, additional, Kallipolitis, Leonidas, additional, Lukic, Milan, additional, Mascolo, Julien, additional, Masera, Davide, additional, Mazo, Raul, additional, Mezei, Ivan, additional, Miaoudakis, Andreas, additional, Milosevic, Nemanja, additional, Oliff, William, additional, Robin, Jacques, additional, Smyrlis, Michail, additional, Sakellari, Georgia, additional, Stamatis, Giorgos, additional, Stamenkovic, Dusan, additional, Skrbic, Srdan, additional, Souveyet, Carine, additional, Vantolas, Spyridon, additional, Vasiliadis, Giorgos, additional, and Vukobratovic, Dejan, additional

Published
2022
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35. TrustAV

Author

Deyannis, Dimitris, primary, Papadogiannaki, Eva, additional, Kalivianakis, Giorgos, additional, Vasiliadis, Giorgos, additional, and Ioannidis, Sotiris, additional

Published
2020
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36. Security Applications of GPUs

Author

Vasiliadis, Giorgos

Subjects
Computers / Information Technology
Abstract

Despite the recent advances in software security hardening techniques, vulnerabilities can always be exploited if the attackers are really determined. Regardless the protection enabled, successful exploitation can always be achieved, even though admittedly, today, it is much harder than it was in the past. Since securing software is still under ongoing research, the community investigates detection methods in order to protect software. Three of the most promising such methods are monitoring the (i) network, (ii) the filesystem, and (iii) the host memory, for possible exploitation. Whenever a malicious operation is detected then the monitor should be able to terminate it and/or alert the administrator. In this chapter, we explore how to utilize the highly parallel capabilities of modern commodity graphics processing units (GPUs) in order to improve the performance of different security tools operating at the network, storage, and memory level, and how they can offload the CPU whenever possible. Our results show that modern GPUs can be very efficient and highly effective at accelerating the pattern matching operations of network intrusion detection systems and antivirus tools, as well as for monitoring the integrity of the base computing systems.

Published
2019

37. Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications

Author

Arapakis, Ioannis, primary, Becerra, Yolanda, additional, Boehm, Omer, additional, Bravos, George, additional, Chatzigiannakis, Vassilis, additional, Cugnasco, Cesare, additional, Demetriou, Giorgos, additional, Eleftheriou, Iliada, additional, Etienne Mascolo, Julien, additional, Fodor, Lidija, additional, Ioannidis, Sotiris, additional, Jakovetic, Dusan, additional, Kallipolitis, Leonidas, additional, Kavakli, Evangelia, additional, Kopanaki, Despina, additional, Kourtellis, Nicolas, additional, Maawad Marcos, Mario, additional, Martin de Pozuelo, Ramon, additional, Milosevic, Nemanja, additional, Morandi, Giuditta, additional, Pages Montanera, Enric, additional, Ristow, Gerald, additional, Sakellariou, Rizos, additional, Sirvent, Raul, additional, Skrbic, Srdjan, additional, Spais, Ilias, additional, Vasiliadis, Giorgos, additional, and Vinov, Michael, additional

Published
2019
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44. PixelVault

Author

Vasiliadis, Giorgos, primary, Athanasopoulos, Elias, additional, Polychronakis, Michalis, additional, and Ioannidis, Sotiris, additional

Published
2014
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50. MIDeA

Author

Vasiliadis, Giorgos, primary, Polychronakis, Michalis, additional, and Ioannidis, Sotiris, additional

Published
2011
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