Međunarodni seminar sajber bezbednosti (MSS) 2023 održaće se u periodu od 25.02. do 05.03.2023. godine u prostorijama Katedre za informatiku u zgradi Naučno-tehnološkog parka u Novom Sadu.

Sajber bezbednost je sada kritičan zahtev u širokom spektru primena u računarstvu, komunikacionim sistemima i povezanim uređajima. Tokom seminara MSS 2023, studenti i mladi istraživači će biti upoznati sa osnovnim konceptima i savremenim tehnikama iz ove oblasti kroz predavanja. Moći će da izvode eksperimente sa napadima i odbranama u realnom vremenu kroz praktične vežbe. Studenti će moći da aktivno učestvuju i demonstriraju svoja rešenja kroz postere i prezentacije svojih istraživanja.

MSS seminar ima za cilj da omogući studentima i istraživačima da prošire svoju mrežu saradnje i stvore osnovu za saradnju na budućim istraživačkim projektima.

Ovogodišnji seminar je organizovan u tri modula za različite vrste polaznika i njihove različite ekspertize:

Modul 1: Bezbednost računarskih sistema
• [M1.L1] Analiza binarnih programa
• [M1.L2] Dizajn bezbednih mikrokernela
• [M1.L3] Formalne metode za bezbednost
• [M1.L4] Bezbednosni aspekti dizajna kompajlera
• [M1.L5] Bezbednosni koncepti operativnih sistema
• [M1.L6] Upravljanje distribuiranim ključevima
• [M1.L7] Algoritmi za deljenje tajni

Modul 2: Hardverska bezbednost i poverenje
• Bezbedno iznajmljeno računarstvo
o [M2.L1] Bezbedne operacije više učesnika
o [M2.L2] Homomorfni algoritmi za šifrovanje
o [M2.L3] Post-kvantna kripografija
o [M2.L4] Očuvanje privatnosti
• Dizajn bezbednih računarskih arhitektura
o [M2.L5] Izvšno okruženje od poverenja
o [M2.L6] Računarstvo sa enklavama
o [M2.L7] Distribuirani sistemi od poverenja

Modul 3: Bezbednost i mašinsko učenje
• [M3.L1] Teorija diferencijalne privatnosti
• [M3.L2] Mašinsko učenje i računarska bezbednost
• [M3.L3] Mašinsko učenje napadača
• [M3.L4] Mašinsko učenje od poverenja
• [M3.L5] Bezbednost i privatnost u federalnom učenju

Glavni predavač na seminaru je prof. Michel Kinsy, rukovodilac STAM (Secure, Trusted, and Assured Microelectronics) centra na Državnom univerzitetu Arizone (Arizona State University). Osnovne pravce istraživanja mu čine računarske arhitekture, bezbedni hardver, metode za efikasni dizajn hardvera i post-kvantna kriptografija. Prof. Kinsy je MIT Presidential Fellow dobitnik Inaugural Skip Ellis Career Award nagrade. Doktorsku disertaciju je odbranio na Masačusets Institutu za tehnologiju (MIT) 2013. godine. Više informacija o STAM Centru nalazi se na sledećoj adresi: https://stamcenter.asu.edu.

Svi zainteresovani treba da se jave prof. Branku Milosavljeviću na mbranko@uns.ac.rs.


2023 International Cybersecurity Winter (ICW) School

The ICW 2023 School will take place from February 25th to March 5th at the Chair of Informatics in the NTP building, Novi Sad.

Cyber security is now a critical concern in a wide range of embedded computing, communications systems, and connected devices. Through the 2023 ICW School, students and young researchers will get exposure to the core concepts and emerging techniques of the field through lectures.

They will be able to experiment with real-time attacks and defenses through hands-on experience.
Students will take an active part in a demonstration of their ongoing work in the community through poster and research presentations.

The ICW School aims to provide students and researchers the opportunity to expand their network and explore collaborations on future research projects.

This year’s lecture, secure, is organized into three modules to benefit multiple types of learners and expertise areas:

Module 1: Computer Systems Security
• [M1.L1] Program and Binary Analysis
• [M1.L2] Secure Microkernel Design
• [M1.L3] Formal Methods for Security
• [M1.L4] Security-Aware Compiler Design
• [M1.L5] Secure Operating Systems Concepts
• [M1.L6] Distributed Key Management
• [M1.L7] Secrete Sharing Algorithms

Module 2: Hardware Security & Trust
• Secure Outsourced Computing
o [M2.L1] Secure multiparty computation
o [M2.L2] Homomorphic Encryption Algorithms
o [M2.L3] Post-Quantum Encryption (PQC)
o [M2.L4] Privacy-Preserving Computing
• Secure Computer Architectures Design
o [M2.L5] Trusted Execution Environment (TEE)
o [M2.L6] Enclave-Based Computing
o [M2.L7] Distributed Trustworthy Systems

Module 3: Machine Learning Security
• [M3.L1] Theory Differential Privacy
• [M3.L2] Machine Learning and Computer Security
• [M3.L3] Adversarial Machine Learning
• [M3.L4] Trustworthy Machine Learning
• [M3.L5] Security and Privacy in Federated Learning

The main teacher at the ICW 2023 School is prof. Michel Kinsy, head of STAM (Secure, Trusted, and Assured Microelectronics) Center at Arizona State University. Dr. Kinsy focuses his research on computer architecture, hardware-level security, and efficient hardware design and implementation of post-quantum cryptography systems. Dr. Kinsy is an MIT Presidential Fellow and an Inaugural Skip Ellis Career Award recipient. He earned his Ph.D. in Electrical Engineering and Computer Science in 2013 from the Massachusetts Institute of Technology (MIT). More information on the STAM Center can be found at https://stamcenter.asu.edu.

Attendance requests should be sent to prof. Branko Milosavljević at mbranko@uns.ac.rs.