Andrei Sukhov | Intrusion Detection | Best Research Paper in Cybersecurity

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Prof. Andrei Sukhov | Intrusion Detection | Best Research Paper in Cybersecurity

Professor at Samara National Research University, Russia

Summary:

Prof. Andrei Sukhov is a prominent scholar with extensive expertise in theoretical physics, telecommunications, and network technologies. He completed his undergraduate studies at the Physics and Mathematics Faculty of the Kuibyshev State Pedagogical Institute and pursued postgraduate research at Moscow State Pedagogical University, culminating in a Candidate of Physical and Mathematical Sciences degree in 1993. Furthering his academic credentials, he earned a Doctor of Technical Sciences degree in telecommunication systems and computer networks from Moscow State University of Electronics and Mathematics (now MIEM HSE) in 2008. Prof. Sukhov has held significant academic and professional roles, including Assistant Professor, Senior Lecturer, and Associate Professor at various institutions, culminating in his current positions as a Professor at Samara University and the School of Computer Engineering, HSE University. He has also made notable contributions to the telecommunications sector through roles such as Technical Director of the Samara Regional Network for Science and Education and Director of LLC SPC “Internet TV.” With a robust research portfolio focused on network security, computer networks, and telecommunication systems, Prof. Sukhov has supervised numerous postgraduate students and is a Senior Member of the Association for Computing Machinery (ACM) and an IEEE member. His contributions to both academia and industry reflect his commitment to advancing knowledge and technology in his fields of expertise.

Profile:

Education:

Prof. Andrei Sukhov completed his undergraduate studies at the Physics and Mathematics Faculty of the Kuibyshev State Pedagogical Institute, graduating in 1987. He continued his academic journey with postgraduate studies at Moscow State Pedagogical University from 1990 to 1993. During this period, he earned his Candidate of Physical and Mathematical Sciences degree in theoretical physics from the Research Center for the Study of Surface Properties and Vacuum, Gosstandart, in 1993. Further advancing his expertise, Prof. Sukhov obtained his Doctor of Technical Sciences degree in telecommunication systems and computer networks from Moscow State University of Electronics and Mathematics (now MIEM HSE) in 2008.

Professional Experience:

Prof. Andrei Sukhov boasts a distinguished career in both academia and industry. He began his academic journey as an Assistant at the Department of Theoretical Physics at Kuibyshev Pedagogical Institute (1987-1990), advancing to a Senior Lecturer role at Samara Pedagogical Institute (1993-1996). He furthered his research as a Senior Researcher at Samara State University (1994-1996) before serving as an Associate Professor at Samara State Aerospace University (1996-2001). Prof. Sukhov played a pivotal role as Head of the Laboratory of Network Technologies at SamGAPS (SamIIT) from 2001 to 2007. Since 2008, he has been a Professor at Samara University, contributing significantly to the Department of Supercomputers and General Informatics. His expertise is further recognized through his role as a Professor at the School of Computer Engineering, HSE University, since October 2019. In addition to his academic positions, Prof. Sukhov has made substantial contributions to the telecommunications sector, founding Samara Internet LLC, serving as Technical Director of the Samara Regional Network for Science and Education, and holding leadership roles at OOO “Polyus” and LLC SPC “Internet TV.” His professional experience reflects a deep commitment to advancing telecommunications and network technologies.

Research Interests:

Prof. Andrei Sukhovā€™s research interests encompass a wide range of topics within network security, computer networks, and telecommunication systems. He focuses on advancing the security and efficiency of network infrastructures, investigating novel methods to enhance the protection and reliability of computer networks. His work also explores the integration of telecommunication systems with scientific research, aiming to improve information support and facilitate cutting-edge developments in the field. Additionally, Prof. Sukhov examines investments in the telecommunications sector, analyzing their impact on technological advancement and infrastructure development. His research contributions are driven by a commitment to addressing both theoretical and practical challenges in these critical areas.

Skills:

Prof. Andrei Sukhov possesses a diverse skill set that enhances his expertise in theoretical physics, telecommunications, and network technologies. He is proficient in advanced research methodologies and analytical techniques essential for network security and computer network design. His technical skills include a deep understanding of telecommunication systems and their integration with scientific research. Prof. Sukhov is adept at managing and developing communication networks, having held significant roles in both academia and industry. His experience extends to supervising and mentoring students, as well as leading complex research projects. Additionally, his leadership skills are demonstrated through his roles in founding and directing telecommunications ventures, reflecting his ability to drive innovation and technological advancement in the field.

Publications:

AGRA: AI-augmented geographic routing approach for IoT-based incident-supporting applications

  • Authors: D Chemodanov, F Esposito, A Sukhov, P Calyam, H Trinh, Z Oraibi
  • Journal: Future Generation Computer Systems
  • Year: 2019
  • Volume: 92
  • Pages: 1051-1065
  • Citations: 41

Generating a function for network delay

  • Authors: AM Sukhov, MA Astrakhantseva, AK Pervitsky, SS Boldyrev, AA Bukatov
  • Journal: Journal of High Speed Networks
  • Year: 2016
  • Volume: 22
  • Issue: 4
  • Pages: 321-333
  • Citations: 33

Network attack detection at flow level

  • Authors: AA Galtsev, AM Sukhov
  • Conference: Conference on Smart Spaces
  • Year: 2011
  • Pages: 326-334
  • Citations: 33

Towards an analytical model for characterising behaviour of high-speed VVoIP applications

  • Authors: S Andrei, C Prasad, D Warren, I Alexander
  • Journal: CMST
  • Year: 2005
  • Volume: 11
  • Issue: 2
  • Pages: 161-167
  • Citations: 30

A constrained shortest path scheme for virtual network service management

  • Authors: D Chemodanov, F Esposito, P Calyam, A Sukhov
  • Journal: IEEE Transactions on Network and Service Management
  • Year: 2018
  • Volume: 16
  • Issue: 1
  • Pages: 127-142
  • Citations: 28

Rank distribution for determining the threshold values of network variables and the analysis of DDoS attacks

  • Authors: AM Sukhov, ES Sagatov, AV Baskakov
  • Journal: Procedia Engineering
  • Year: 2017
  • Volume: 201
  • Pages: 417-427
  • Citations: 18

Simulation technique for available bandwidth estimation

  • Authors: TG Sultanov, AM Sukhov
  • Conference: 2010 Fourth UKSim European Symposium on Computer Modeling and Simulation
  • Year: 2010
  • Pages: 1-6
  • Citations: 18

Active flows in diagnostic of troubleshooting on backbone links

  • Authors: AM Sukhov, DI Sidelnikov, AP Platonov, MV Strizhov, AA Galtsev
  • Journal: Journal of High Speed Networks
  • Year: 2011
  • Volume: 18
  • Issue: 1
  • Pages: 69-81
  • Citations: 16

Ms. Sharmila B S | Intrusion Detection and Prevention | Women Researcher Award

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Ms. Sharmila B S | Intrusion Detection and Prevention | Women Researcher Award

Assistant Professor at Intrusion Detection and Prevention, The National Institute of Engineering, Mysuru, India

Sharmila B S is currently pursuing a Ph.D. focusing on Network Security for IoT devices. Their research interests primarily lie in Network Security, Internet of Things (IoT), and Artificial Intelligence (AI). With 7 years of combined teaching and industry experience, Sharmila has also delivered talks on Python, AI, and IoT for technical talks and workshops.

Professional profiles

šŸŽ“Education:

Sharmila B S completed their academic qualifications as follows: a Ph.D. from the Department of ECE at the National Institute of Engineering, Mysuru, under Visweshwaraiah Technological University in 2018; an MTech in VLSI Design & Embedded Systems from SJCE, Mysore; and a BE in E&C from Kalpataru Institute of Technology, Tiptur, both under Visweshwaraiah Technological University, obtained in 2013 and 2011 respectively.

šŸ‘©ā€šŸ«Professional Experience:

Sharmila B S has professional experience as an Assistant Professor at the National Institute of Engineering, Mysuru, from July 25, 2016, to the present. Prior to this, they worked as a Lecturer at the same institute from July 27, 2015, to June 26, 2016. Before joining the National Institute of Engineering, Sharmila was an Assistant Professor at PESITM, Shivamogga, from July 21, 2014, to June 30, 2015. They also have internship experience at LG Soft India, Bangalore, from July 11, 2012, to December 31, 2013.

Subjects Taught:

Sharmila B S has taught a range of subjects, including Internet of Things, Data Structures using C++, Information Theory and Network Security, Embedded Systems, and Fundamentals of CMOS VLSI.

Publications:

“Intrusion Detection System using Naive Bayes algorithm” by BS Sharmila, R Nagapadma, published in the 2019 IEEE International WIE Conference on Electrical and Computer, with 24 citations in 2019.

“Comparison of time complexity in median filtering on multi-core architecture” by BS Sharmila, N Kaulgud, published in the 2017 3rd International Conference on Advances in Computing, Communication, with 2 citations in 2017.

“Multi Core DNN based IDS for Botnet Attacks using KPCA Reduction Techniques” by BS Sharmila, R Nagapadma, published in 2021.

“Design of memristor based multiplier” by N Jagan, U NS, S Kouser, published in the International Research Journal of Engineering and Technology, 6(1), 2019.

“Optimizing Deep Learning Networks for Edge Devices with an Instance of Skin Cancer and Corn Leaf Disease Dataset” by BS Sharmila, HS Santhosh, S Parameshwara, MS Swamy, WH Baig, published in SN Computer Science, 4(6), 793, 2023.

“QAE-IDS: DDoS anomaly detection in IoT devices using Post-Quantization Training” by BS Sharmila, R Nagapadma, published in Smart Science, 11(4), 774-789, 2023.

“Quantized autoencoder (QAE) intrusion detection system for anomaly detection in resource-constrained IoT devices using RT-IoT2022 dataset” by BS Sharmila, R Nagapadma, published in Cybersecurity, 6(1), 41, 2023.

“Pā€DNN: Parallel DNN based IDS framework for the detection of IoT vulnerabilities” by S BS, R Nagapadma, published in Security and Privacy, e330, 2023.

“KNN classification using multi-core architecture for intrusion detection system” by BS Sharmila, R Nagapadma, published in the Communication and Computing Systems: Proceedings of the 2nd International Conference.