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 Sukhov’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

Naresh E | Intrusion Detection | Best Researcher Award

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Dr. Naresh E, Intrusion Detection, Best Researcher Award


Doctorate at Manipal Academy of Higher Education, India

Dr. Naresh E is a distinguished academic professional currently serving as an Assistant Professor (Selection Grade) in the Department of Information Technology at Manipal Institute of Technology, Bengaluru, MAHE since June 1, 2022. He previously held a long-term position as an Assistant Professor in the Department of Information Science and Engineering at M S Ramaiah Institute of Technology, Bengaluru, from August 2008 to May 2022. Dr. Naresh completed his Ph.D. in Information Technology from JAIN (Deemed-to-be University) in 2020. He holds an M.Tech from M S Ramaiah Institute of Technology, Bangalore, and a B.E. from Proudadevaraya Institute of Technology, Bellary, both affiliated with VTU. With expertise in subjects like Software Testing, Software Engineering, and Data Mining, Dr. Naresh has successfully secured several funded projects, including grants from ISRO and VGST. He holds seven patents and has various professional certifications, including Apple Certified Trainer and IBM Certified Database Associate. Additionally, Dr. Naresh has completed numerous Coursera certifications from prestigious universities.

Profile:

Education:

Dr. Naresh E has an impressive academic background. He earned his Ph.D. in Information Technology from JAIN (Deemed-to-be University) in 2020. Prior to that, he completed his M.Tech in Information Technology from M S Ramaiah Institute of Technology, Bangalore (VTU) in 2008. His academic journey began with a B.E. in Information Technology from Proudadevaraya Institute of Technology, Bellary (VTU), which he completed in 2005.

Professional Experience:

Dr. Naresh E has an extensive professional background in academia, currently serving as an Assistant Professor (Selection Grade) in the Department of Information Technology at Manipal Institute of Technology, Bengaluru, MAHE, a role he has held since June 1, 2022. Before this, he accumulated substantial experience at M S Ramaiah Institute of Technology, Bengaluru, where he served as an Assistant Professor in the Department of Information Science and Engineering from August 14, 2008, to May 30, 2022. Over these years, Dr. Naresh has demonstrated a commitment to education and research, teaching a variety of subjects including Software Testing, Software Engineering, DBMS, Digital Systems, Operating Systems, and Data Mining. His dedication to fostering academic excellence is further exemplified by his involvement in several funded projects, consultancy works, and his numerous professional and Coursera certifications.

Research Interest:

Dr. Naresh E’s research interests encompass a wide array of topics within the field of Information Technology. He is particularly focused on Software Testing and Software Engineering, exploring innovative methodologies to enhance software quality and reliability. Additionally, his research delves into Data Mining, examining techniques for extracting valuable insights from large datasets. Dr. Naresh is also interested in Software Metrics and Measurements, investigating quantitative methods for assessing software performance and efficiency. Furthermore, his work on Software Architecture and Design Patterns aims to improve the structural design of software systems. Through his research, Dr. Naresh strives to contribute to advancements in these areas, driving improvements in both academic and practical applications of Information Technology.

Subjects Handled:

Dr. Naresh E has handled a comprehensive array of subjects, including Software Testing, Software Engineering, DBMS, Digital Systems, Operating Systems, Intellectual Property Rights, Computer Ethics, Software Metrics and Measurements, Object-Oriented Analysis and Design (OOAD), Software Architecture and Design Patterns, Data Mining, Management and Entrepreneurship, among others.

Achievements:

Dr. Naresh E has a commendable list of achievements, particularly in securing funded projects, engaging in consultancy works, and obtaining professional certifications. He was awarded Rs. 16,94,880 for the ISRO Respond Basket project on June 23, 2022. Additionally, he received a VGST Research Grant for Faculty of Rs. 3,00,000 on August 18, 2021, and an IEEE-CIS grant of $2000 (Rs. 1,46,500) for a High-school Outreach Programme on October 8, 2020. In the realm of consultancy, Dr. Naresh collaborated with TechMachinery Labs, earning Rs. 50,000 from February 2021 to May 2021, and provided his expertise to M S Ramaiah Hospitals, earning Rs. 25,000 during the 2020-21 period. Demonstrating his proactive approach, Dr. Naresh has applied for several funding projects, including DST-FIST (52L), AICTE-MODROB (20L), VTU Research Grant (15.69L), VGST (2L), and RIT-SEED Money (5.57L). He also holds seven granted patents, underscoring his innovative contributions to the field. Dr. Naresh has attained multiple professional certifications, such as Apple Certified Trainer (ACT) for Lion 101, Apple Certified Support Professional (ACSP) for Lion 101, IBM Certified Rational Functional Tester, and IBM Certified Database Associate, further highlighting his expertise and commitment to continuous professional development.

Publications:

Predicting stock price using sentimental analysis through twitter data

  • Authors: NN Reddy, E Naresh, VK BP
  • Year: 2020
  • Citations: 19
  • Conference: 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
  • Pages: Not specified

Share Price Prediction using Machine Learning Technique

  • Authors: B Jeevan, E Naresh, BPV Kumar, P Kambli
  • Year: 2018
  • Citations: 18
  • Conference: 2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C)
  • Pages: Not specified

The Impact of Test-Driven Development on Software Defects and Cost: A Comparative Case Study

  • Authors: DM Naresh E, Vijaya Kumar BP, Rayudu
  • Year: 2014
  • Citations: 16
  • Journal: International Journal of Computer Engineering and Technology (IJCET)
  • Volume: 5
  • Issue: 2
  • Pages: Not specified

Impact of Machine Learning in Bioinformatics Research

  • Authors: E Naresh, BPV Kumar, SP Shankar, Ayesha
  • Year: 2020
  • Citations: 15
  • Book: Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
  • Pages: Not specified

A Novel Testing Methodology to Improve the Quality of Testing a GUI Application

  • Authors: NESK Kalaskar
  • Year: 2013
  • Citations: 15
  • Journal: MSRJETR
  • Volume: 1
  • Issue: 1
  • Pages: 41-46

Challenges and Issues in Test Process Management

  • Authors: VKBP Naresh E, M
  • Year: 2019
  • Citations: 14
  • Journal: Journal of Computational and Theoretical Nanoscience
  • Volume: 16
  • Issue: 9
  • Pages: 3744-3747

Survey on test generation using machine learning technique

  • Authors: VKBP Naresh E, MDN
  • Year: 2019
  • Citations: 11
  • Journal: International Journal of Recent Technology and Engineering
  • Volume: 7
  • Issue: 6s
  • Pages: 562-566

Drag reduction over a circular cylinder

  • Authors: E Naresh, PD Kumar, BNGA Kumar, BN Goud
  • Year: 2017
  • Citations: 11
  • Journal: International Journal of Civil Engineering and Technology
  • Volume: 8
  • Issue: 8
  • Pages: 1334-1345

Innovative Approaches in Pair Programming to Enhance the Quality of Software Development

  • Authors: VKBP Naresh E
  • Year: 2018
  • Citations: 6
  • Journal: International Journal of Information Communication Technologies and Human Development
  • Volume: Not specified
  • Issue: Not specified
  • Pages: Not specified