Machine Learning Blunts the Needle of Advanced SQL Injections

Autor: Marina Volkova, Petr Chmelar, Lukas Sobotka

Publikováno v: Mendel, Vol 25, Iss 1 (2019)

SQL injection is one of the most popular and serious information security threats. By exploiting database vulnerabilities, attackers may get access to sensitive data or enable compromised computers to conduct further network attacks. Our research is

Externí odkaz: https://doaj.org/article/59475384907640159e5948d6151b7d0a

IP Traffic Generator Using Container Virtualization Technology

Autor: Vladimir Sedlacek, Petr Blazek, Radek Fujdiak, Jan Slacik, Vaclav Uher, Petr Mlynek, Marina Volkova, Jiri Misurec, Petr Chmelar

Publikováno v: ICUMT

This paper describes a network traffic generator which is based on a container virtualization technology, namely Docker. The aim of the generator is the simulation of TCP/IP layer 7 (L7) traffic and attacks. The main advantages of the proposed soluti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::add13be5f14d02ec31649ccf684b0775
https://doi.org/10.1109/icumt.2018.8631248

List of Contributors

Autor: Zair Abdelouahab, Maher Aburrous, Eyidayo Adebola, Babak Akhgar, Sayed Alireza Hashemi Golpayegani, Ja’far Alqatawna, Omar Al-Kadi, Rizik Al-Sayyed, Faisal T. Ammari, Annamalai Annamalai, Manoj Apte, Hamid R. Arabnia, Vladimir B. Balakirsky, Maros Barabas, Gerald Baumgartner, Petra Saskia Bayerl, Timothy Bowden, Ben Brewster, Roman Busse, Petr Chmelar, Seonho Choi, John M. Colombi, Guillermo Covella, Miles Crabill, Evan Damon, David de Andrés, Alberto De la Rosa Algarín, Leonidas Deligiannidis, Nikolaos L. Dellas, Steven A. Demurjian, Alexander Dieser, Steven Drager, Michal Drozd, Hyeonsang Eom, Diogo A.B. Fernandes, Guillermo Francia, Mário M. Freire, Kaleb Ganz, Qigang Gao, Anahit R. Ghazaryan, João V. Gomes, Geff Green, Michael R. Grimaila, Petr Hanacek, Mohammad Hassanzadeh, Peng He, Douglas D. Hodson, Ivan Homoliak, Mihai Horia Zaharia, Claire Humbeutel, Pedro R.M. Inácio, David Jacques, Narges Jahangiri, Kayleigh Johnson, Dimitra I. Kaklamani, Maria N. Koukovini, Sofiane Labidi, Ville Leppänen, Georgios V. Lioudakis, Eleanor Lockley, Denivaldo Lopes, Pascal Lorenz, J. Lu, Jianbing Ma, Jens Mache, Nicolás Macia, Logan O. Mailloux, Héctor Marco, Maria Angel Marquez-Andrade, William McKeever, Davud Mohammadpur, Seyyed Mohammad Reza Farshchi, Falkner Moraes, Jeffrey D. Morris, Anas Najdawi, Samir M.R. Nasserzadeh, Holger Nitsch, Abiodun Olaluwe, Emerson Oliveira, Luis Olsina, Girish Keshav Palshikar, Eugenia I. Papagiannakopoulou, Paul R. Prucnal, Tran Quang Thanh, Victor Raskin, Sampsa Rauti, Yacine Rebahi, Mohammad Reza Movahedisefat, Ismael Ripoll, Hamzeh Roumani, Juan Carlos Ruiz, Sébastien Salva, Maryam Shahpasand, Bhavin J. Shastri, Jawed Siddiqi, Liliana F.B. Soares, Andrew Staniforth, Nary Subramanian, Kun Sun, Fahimeh Tabatabayi, Julia M. Taylor, Cenidalva Teixeira, Ariel Teles, David Thornton, Fernando G. Tinetti, Monica Trifas, Sanjai Veetil, Lakovos S. Venieris, Natalija Vlajic, Richard Weiss, Charlie Wiseman, Ben Wu, Mira Yun, Stassia R. Zafimiharisoa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b974f42c84f7b96d6af58bfa87e57c21
https://doi.org/10.1016/b978-0-12-411474-6.00043-8

Towards Composable Robotics: The R3-COP Knowledge-Base Driven Technology Platform

Autor: Erwin Schoitsch, Lars Dalgaard, Wolfgang Herzner, C. Alonso-Montes, Petr Chmelar

Publikováno v: Lecture Notes in Computer Science ISBN: 9783642336744
SAFECOMP Workshops

The ARTEMIS project R3-COP (Resilient Reasoning Robotic Co-operating Systems) aims at providing European industry with leading-edge innovation that will enable the production of advanced robust and safe cognitive, reasoning autonomous and co-operativ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::733ed9d60f09c477a0aa098a1668c4e9
https://doi.org/10.1007/978-3-642-33675-1_40

SUNAR Surveillance Network Augmented by Retrieval

Autor: Aleš Láník, Petr Chmelar, Jozef Mlích

Publikováno v: Advanced Concepts for Intelligent Vision Systems ISBN: 9783642176906
ACIVS (2)

The paper deals with Surveillance Network Augmented by Retrieval (SUNAR) system – an information retrieval based wide area (video) surveillance system being developed as a free software at FIT, Brno University of Technology. It contains both standa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ce4da4e1fc195b4685e2db4f2935bad9
https://doi.org/10.1007/978-3-642-17691-3_15