Resumes
Resumes
Subhash Kak Phones & Addresses
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2605 Summerlin Ct, Stillwater, OK 74074 (405) 707-0963
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Baton Rouge, LA
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11921 Oakshire Ave, Baton Rouge, LA 70810 (225) 766-4273
Work
Position:
Private Household Service Occupations
Business Records
Name / Title
Company / Classification
Phones & Addresses
Manager
Ok State University
Colleges & Universities · Schools-Universities & College
Colleges & Universities · Schools-Universities & College
219 Math Sciences, Stillwater, OK 74078
219 Math Sciences Building, Stillwater, OK 74078
(405) 744-5668, (405) 744-9097
219 Math Sciences Building, Stillwater, OK 74078
(405) 744-5668, (405) 744-9097
Publications
Isbn (Books And Publications)
The Nature of Physical Reality
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Author
Subhash Kak
ISBN #
0820403105
In Search of the Cradle of Civilization: New Light on Ancient India
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Author
Subhash Kak
ISBN #
0835607208
The Search of the Cradle of Civilization
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Author
Subhash Kak
ISBN #
0835607410
The Asvamedha: The Rite and Its Logic
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Author
Subhash Kak
ISBN #
8120818776
The Wishing Tree: The Presence and Promise of India
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Author
Subhash Kak
ISBN #
8121510325
Computing Science in Ancient India
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Author
Subhash Kak
ISBN #
8121509858
The Astronomical Code of the Rgveda
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Author
Subhash Kak
ISBN #
8121509866
The Gods Within: Mind, Consciousness, and the Vedic Tradition
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Author
Subhash Kak
ISBN #
8121510635
Us Patents
Neural Networks And Methods For Training Neural Networks
View pageUS Patent:
54267218, Jun 20, 1995
Filed:
Jun 17, 1993
Appl. No.:
8/080490
Inventors:
Subhash Kak - Baton Rouge LA
John F. Pastor - Baton Rouge LA
John F. Pastor - Baton Rouge LA
Assignee:
Board of Supervisors of Louisiana State University and Agricultural and
Mechanical College - Baton Rouge LA
Mechanical College - Baton Rouge LA
International Classification:
G06F 1518
US Classification:
395 27
Abstract:
Novel neural networks and novel methods for training those networks are disclosed. The novel networks are feedforward networks having at least three layers of neurons. The training methods are easy to implement, converge rapidly, and are guaranteed to converge to a solution. A novel network structure is used, in which each corner of the input vector hypercube may be considered separately. The problem of mapping may be reduced to a sum of corner classification sub-problems. Four efficient, alternative classification methods for use with the novel neural networks are also disclosed.
Method And System For Detecting And Mitigating A Denial Of Service Attack
View pageUS Patent:
20200128040, Apr 23, 2020
Filed:
Jan 15, 2018
Appl. No.:
16/477855
Inventors:
- Perth, AU
Sie Teng Soh - Perth, AU
Subhash Kak - Stillwater OK, US
Sie Teng Soh - Perth, AU
Subhash Kak - Stillwater OK, US
International Classification:
H04L 29/06
Abstract:
A method and system for detecting and mitigating a denial of service attack against a destination server () and/or connected devices (). Incoming traffic packets () are monitored and a first distribution of the incoming traffic packets () is built in accordance with Benford's Law for normal traffic behaviour. A denial of service attack is detected when it occurs. Once an attack is detected, the incoming traffic packets () are sorted in accordance with Zipf's Law and a sorted distribution is created. The sorted distribution is compared with the first distribution. The incoming traffic packets () in the sorted distribution that are not consistent with the first distribution are discarded. A second distribution is then built in accordance with Benford's Law using the incoming traffic packets () in the sorted distribution excluding the discarded incoming traffic packets. The incoming traffic packets in the second distribution are allowed to pass to the destination server () and/or connected devices ().