1648 Fairlawn Ave, San Jose, CA 95125 • 408 264-4011
2488 Wooding Ct, San Jose, CA 95128 • 786 461-5113
Saratoga, CA
Mountain View, CA
1417 Norman Dr, Sunnyvale, CA 94087 • 408 245-5279
3245 Oakland Ave, Milwaukee, WI 53211
Sacramento, CA
Santa Clara, CA
2488 Wooding Ct, San Jose, CA 95128 • 408 221-5682
Work
Position:
Professional/Technical
Education
Degree:
Associate degree or higher
Name / Title
Company / Classification
Phones & Addresses
Naveen Jamal Owner
IMPERMIUM CORPORATION Department Store · Department Stores · Nonclassifiable Establishments
1600 Amphitheatre Pkwy, Mountain View, CA 94043 900 Veterans Blvd, Redwood City, CA 94063 135 Commonwealth Dr, Menlo Park, CA 94025 55 Murray St, San Francisco, CA 94112 650 364-8800
Us Patents
Detecting Bulk Fraudulent Registration Of Email Accounts
Bhasker Hariharan - Sunnyvale CA, US Naveen Jamal - San Jose CA, US Anirban Kundu - San Francisco CA, US Vishwanath Tumkur Ramarao - Sunnyvale CA, US Mark E. Risher - San Francisco CA, US Xiaopeng Xi - Sunnyvale CA, US Lei Zheng - Sunnyvale CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 21/00 G06N 7/02 G06F 15/16
US Classification:
706 52, 726 27, 709206
Abstract:
The invention provides for at least three processes for detecting the probability of abusive use of a message account for sending large amounts of unsolicited messages, such as spam, to other message accounts. For example, information provided at registration for a new message account can be processed to determine the likelihood of abusive use of that message account. Also, inbound messages can be processed to determine if the message account that sent the inbound message is abusing the use of that message account. Additionally, outbound messages can be processed to determine if the message account that is attempting to send an outbound message is abusing the use of that message account. Each of these three processes can operate separately or in any combination with each other to further improve the probability that abusive use of a message account will be detected promptly and accurately.
Bhasker Hariharan - Sunnyvale CA, US Naveen Jamal - San Jose CA, US Anirban Kundu - San Francisco CA, US Vishwanath Tumkur Ramarao - Sunnyvale CA, US Mark E. Risher - San Francisco CA, US Xiaopeng Xi - Sunnyvale CA, US Lei Zheng - Sunnyvale CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 15/16
US Classification:
709206
Abstract:
The invention provides for at least three processes for detecting the probability of abusive use of a message account for sending large amounts of unsolicited messages, such as spam, to other message accounts. For example, information provided at registration for a new message account can be processed to determine the likelihood of abusive use of that message account. Also, inbound messages can be processed to determine if the message account that sent the inbound message is abusing the use of that message account. Additionally, outbound messages can be processed to determine if the message account that is attempting to send an outbound message is abusing the use of that message account. Each of these three processes can operate separately or in any combination with each other to further improve the probability that abusive use of a message account will be detected promptly and accurately.
Detection And Prevention Of Unwanted Content On Cloud-Hosted Services
Mark Risher - San Francisco CA, US Vishwanath Ramarao - Sunnyvale CA, US Naveen Jamal - San Jose CA, US Youngnam Maeng - Marina CA, US Cory O'Connor - Redwood City CA, US Tejaswi Nadahalli - Bangalore, IN Sonal Rajan - San Jose CA, US Parag Namjoshi - Redwood City CA, US
International Classification:
G06F 17/30
US Classification:
707722
Abstract:
The problem of abuse of privileges at cloud-hosted service sites is addressed by connecting a single individual or “actor” with multiple user accounts and/or other online identities, thereby creating a “consolidated profile.” In this way a confidence level can be established that a particular user account, IP address or other identifying attribute is associated with a particular actor. Different confidence levels may suffice depending on the remediary action to be taken; for example, holding a message for human review is obviously less draconian than rejecting the actor's registration at sign-up, and would therefore require a lower degree of confidence.
Detection And Prevention Of Unwanted Content On Cloud-Hosted Services
Mark Risher - San Francisco CA, US Vishwanath Ramarao - Sunnyvale CA, US Naveen Jamal - San Jose CA, US Youngnam Maeng - Marina CA, US Cory O'Connor - Redwood City CA, US Tejaswi Nadahalli - Bangalore, IN Sonal Rajan - San Jose CA, US Parag Namjoshi - Redwood City CA, US
International Classification:
G06F 21/55
US Classification:
707749
Abstract:
The problem of abuse of privileges at cloud-hosted service sites is addressed by associating each user, preferably across multiple cloud-hosted service sites, with an individual “suspiciousness” score that may vary over time as additional user actions are detected and evaluated. Knowledge of the user is employed to better analyze the appropriateness or acceptability of user actions on the site.
Detection And Prevention Of Unwanted Content On Cloud-Hosted Services
Mark Risher - San Francisco CA, US Vishwanath Ramarao - Sunnyvale CA, US Naveen Jamal - San Jose CA, US Youngnam Maeng - Marina CA, US Cory O'Connor - Redwood City CA, US Tejaswi Nadahalli - Bangalore, IN Sonal Rajan - San Jose CA, US Parag Namjoshi - Redwood City CA, US
International Classification:
H04L 12/24
US Classification:
709204
Abstract:
The problem of abuse of privileges at cloud-hosted service sites is addressed at the sign-up stage by identifying suspicious or abusive users and preventing them from signing up in the first place. This approach may utilize a relatively small initial data set based on the recognition that while abusers' profiles are mutable and difficult to characterize stably abusers will deliberately shift their usage patterns to evade detection—a site's legitimate users tend to have similar and stable characteristics; that is, such characteristics are “cohesive” across cloud-hosted service (e.g., social media) sites and their users. The information gleaned from analysis of this small data set can be applied to a much larger, unsorted data set to obtain profiling criteria based on a large population for statistical reliability.
Naveen Jamal - San Jose CA, US Chris Kalaboukis - Los Gatos CA, US Naveen Agarwal - Fremont CA, US Clarence Chung - Saratoga CA, US
Assignee:
YAHOO! INC. - Sunnyvale CA
International Classification:
G06Q 30/00
US Classification:
705 14
Abstract:
A method of using advertisements in a Completely Automatic Public Turing test to tell Computers and Humans Apart (CAPTCHA) challenge/response transaction. In accordance with one aspect, a server allows access to some resource if the response to the ad/CAPTCHA challenge is an acceptable response.
Swiggy
Engineer
Tyfone, Inc. Sep 2014 - May 2018
Distinguished Member of Technical Staff
Impermium (Acq. By Google) Oct 2010 - Jan 2014
Co-Founder, Distinguished Engineer
Yahoo May 1998 - Jun 2010
Principal Engineer, Imperial Antispammer
Sift 1995 - 1998
Software Engineer
Education:
University of Wisconsin - Milwaukee 1990 - 1995
Master of Science, Masters, Bachelors, Bachelor of Science, Computer Science
Skills:
Python Information Retrieval Distributed Systems Engineers Big Data Machine Learning Algorithms Rest Architecture Scalability Engineering Hadoop Architectures Mapreduce Perl