Machine Learning Applications in Cybersecurity Domain.

Share

Internet is the baseline for cyberspace, where technology infrastructure can be autonomous. It is a virtual space that can be accessed via different interconnected network devices. Cyber-security can be described as a set of measures that makes cyberspace safe. Identifying threats and predicting vulnerabilities in this environment are the key components of the security mechanism. The main cause of security violations is the intrusion of an attacker into the network or electronic devices. Machine learning can be used to increase the accuracy level of detection of threats to improve system efficiency and performance. In this talk, we present how machine learning can help detect and mitigate cyber threats in the systems.



  Date and Time

  Location

  Hosts

  Registration



  • Date: 11 Dec 2021
  • Time: 10:00 AM to 11:00 AM
  • All times are (GMT-05:00) Canada/Eastern
  • Add_To_Calendar_icon Add Event to Calendar

Mehrdad Tirandazian is inviting you to a scheduled Zoom meeting.

Topic: My Meeting
Time: Dec 11, 2021 10:00 AM Eastern Time (US and Canada)

Join Zoom Meeting
https://centennialcollege.zoom.us/j/99321890897?pwd=UDlMU1JlN3hrM1ZZYVNHVGxuekFnQT09

Meeting ID: 993 2189 0897
Passcode: 338792
One tap mobile
+16475580588,,99321890897#,,,,*338792# Canada
+17789072071,,99321890897#,,,,*338792# Canada

Dial by your location
        +1 647 558 0588 Canada
        +1 778 907 2071 Canada
        +1 438 809 7799 Canada
        +1 587 328 1099 Canada
        +1 647 374 4685 Canada
        +1 651 372 8299 US (Minnesota)
        +1 669 219 2599 US (San Jose)
        +1 669 900 6833 US (San Jose)
        +1 720 928 9299 US (Denver)
        +1 786 635 1003 US (Miami)
        +1 929 436 2866 US (New York)
        +1 971 247 1195 US (Portland)
        +1 213 338 8477 US (Los Angeles)
        +1 253 215 8782 US (Tacoma)
        +1 267 831 0333 US (Philadelphia)
        +1 301 715 8592 US (Washington DC)
        +1 312 626 6799 US (Chicago)
        +1 346 248 7799 US (Houston)
        +1 470 250 9358 US (Atlanta)
        +1 470 381 2552 US (Atlanta)
        +1 602 753 0140 US (Phoenix)
        +1 646 518 9805 US (New York)
Meeting ID: 993 2189 0897
Passcode: 338792
Find your local number: https://centennialcollege.zoom.us/u/ajN4POXWk

 

  • Toronto, Ontario
  • Canada

  • Starts 10 December 2021 09:23 PM
  • Ends 11 December 2021 10:00 AM
  • All times are (GMT-05:00) Canada/Eastern
  • No Admission Charge


  Speakers

Dr. Mizanur Rahman

Internet is the baseline for cyberspace, where technology infrastructure can be autonomous. It is a virtual space that can be accessed via different interconnected network devices. Cyber-security can be described as a set of measures that makes cyberspace safe. Identifying threats and predicting vulnerabilities in this environment are the key components of the security mechanism. The main cause of security violations is the intrusion of an attacker into the network or electronic devices. Machine learning can be used to increase the accuracy level of detection of threats to improve system efficiency and performance. In this talk, we present how machine learning can help detect and mitigate cyber threats in the systems.

Biography:

Dr. Sk Md Mizanur Rahman is a fulltime professor in the department of Information and Communication Engineering Technology, School of Engineering Technology and Applied Science, Centennial College. Prior to his current appointment, he worked as an Assistant Professor for five years in the Information Systems Department at the College of Computer and Information Sciences, King Saud University. He also worked for several years in cryptography and security engineering in the high-tech industry in Ottawa, Canada. In addition, he worked as a postdoctoral researcher for several years at the University of Ottawa, University of Ontario Institute of Technology (UOIT), and University of Guelph, Canada. He completed a Ph.D. in Engineering (Major: Cybersecurity Risk Engineering) in the Laboratory of Cryptography and Information Security, Department of Risk Engineering, University of Tsukuba, Japan, in 2007. The Information Processing Society Japan (IPSJ) awarded Dr. Rahman its Digital Courier Funai Young Researcher Encouragement Award for his excellent contributions to IT security research. He is awarded a Gold Medal for distinction in his undergraduate and graduate programs. He has published approximately one-hundred peer reviewed journal and conference research articles. Also, he has a granted industrial patent (US Patent) on cryptographic key generation and protection. Dr. Rahman’s primary research interests are cryptographic protocol design, white-box cryptography, software and network security, reverse engineering and ethical hacking, privacy enhancing technology, sensor and mobile ad-hoc network security, cloud and the Internet of Things (IoT) security, bigdata security, and machine learning in information security.