Apple
Product Management
Shazam Dec 2011 - May 2013
Tv Product
Yahoo Mar 2001 - Dec 2011
Senior Product Manager
Amazon Jul 1999 - Nov 2000
Supply Chain Analyst
Education:
University of Michigan - Stephen M. Ross School of Business 1997 - 1999
Master of Business Administration, Masters
Brown University 1993
Bachelors, Bachelor of Arts, Biology
Vypin Llc
Vice President Animal Iot
Vypin Llc Oct 2016 - Jun 2018
Outside Consultant
Blue Sky Sensor Technology Mar 2014 - Feb 2016
Managing Director
Pawnet 2015 - 2016
Founding Team
Lockheed Martin Mar 2003 - May 2010
Director Advanced Solutions Ms2
Education:
The Fletcher School at Tufts University 1978 - 1981
Doctorates, Doctor of Philosophy, Law
United States Naval Academy 1963 - 1967
Bachelors, Bachelor of Science, Aerospace Engineering
Skills:
Systems Engineering Defense Earned Value Management Program Management Dod Military Aerospace Security Clearance Navy Government Contracting Engineering Management Government Proposal Writing National Security Command Defence Operational Planning Entrepreneurship Business Development Integration Requirements Management Analysis Intelligence Organizational Leadership Military Operations Information Assurance Intelligence Analysis Technology Management Software Engineering Top Secret Project Planning Air Force Weapons Tactics Military Experience System Design Uav Aviation Simulations Helicopters Avionics Satellite Communications Aircraft Radar Sensors Homeland Security C4Isr Army Configuration Management Satellite
Languages:
English
Certifications:
Phd
Name / Title
Company / Classification
Phones & Addresses
Miles Libbey Director Advanced Solutions
Lockheed Martin Services, Inc
401 M St SW STE 14, Washington, DC 20024
Us Patents
Method And System For Image Verification To Prevent Messaging Abuse
Miles Libbey - Mountain View CA, US Len Fenkel - Pacifica CA, US Jing Zhu - Fremont CA, US Steven Kenichi Yoshimoto - Cupertino CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 15/16
US Classification:
709206, 726 2, 726 22
Abstract:
The invention is directed to a system and method for determining if a “spam” message is originating from a messaging account by challenging a particular client's outbound email usage with a test that requires verification of content that is easily understood by a human being, not an automated computer program such as those used by “spammers. ” If a limit on the number of recipients for outbound messages has been exceeded, a test is presented the next time a client attempts to send a message. The client must successfully answer the test within a relatively short period of time or else the ability to send messages will be disabled. Once disabled, the client can reinstate the ability to send messages by contacting a representative of the message system out of band, e. g. , a telephone call to confirm legitimate outbound email use.
Detecting Spam Messages Using Rapid Sender Reputation Feedback Analysis
Miles Libbey - Mountain View CA, US F. Randall Farmer - Palo Alto CA, US Mohammad Mohsenzadeh - Palo Alto CA, US Chip Morningstar - Palo Alto CA, US Neal Sample - Santa Cruz CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 15/173 G06F 11/00 G06F 15/16
US Classification:
709225, 726 22, 709206
Abstract:
A network device and method are directed towards detecting and blocking spam within a message by rapidly performing a predication analysis based on early received sender reputation reports. Reputation reports may be received from a plurality of users receiving messages that they interpret as either spam or non-spam. A reputation report rate prediction table is employed to predict the total number of user reports that will occur. The total number of spam reports and not spam (ham) reports for may then be used with a sender categorization model to rapidly predict whether the sender is likely to be a spammer. If the sender is determined to be a spammer, various preventative actions may be taken, including, but not limited to blocking messages from the sender to users, alerting third party filter generators of the spammer, or the like.
Richard Sinn - Milpitas CA, US Miles Libbey - Mountain View CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 15/16 G06F 15/18
US Classification:
709204, 709201, 709217, 706 12, 706 14
Abstract:
A self training set of robots are configured to proactively search for selective communication abuses over a network. Robots may enter a chat room to proactively send messages. The robots then analyze patterns and/or content of a received message for potential abuse. Robots may also passively reside on/off line without publishing their network address. If a message is received, the message may be interpreted to be SPAM/SPIM. Robots may also perform a variety of other actions, such as access websites, and analyze received messages to determine if the messages indicate abuse. If abuse is detected, information may also be obtained to enable blocking or filtering of future messages from the sender, or access to/from an abusive website. The information also may be used to retrain robots, so that the robots may learn from and share their collective knowledge of abusive actions.
Method And System For Segmentation Of A Message Inbox
Miles Libbey - Mountain View CA, US Brooke Thompson - San Francisco CA, US Sidarth Khoshoo - Mountain View CA, US Jeffrey Williams - San Francisco CA, US
International Classification:
G06F 15/16
US Classification:
709206000
Abstract:
A method, apparatus, and system are directed towards managing unsolicited email messages, and the like, in part, by providing segmentation of an email inbox. In one embodiment, the email inbox is segmented into segments associated with a message from a trusted, trusted email address, an untrusted email address, and a segment for a bulk email message, such as spam, and the like. A determination that the message is from a trusted email address may be made based, in part, on whether the email address is associated with one's address book, a degree of separation that may be determined based on an association with another's address book, whether the email address was a sent email address, and the like. By segmenting the email inbox, the invention minimizes a risk associated with incorrectly discarding a message from a desired, but untrusted source.
Hao Zheng - Cupertino CA, US Bruce Chu - San Francisco CA, US Anirban Kundu - Milpitas CA, US Miles Libbey - Mountain View CA, US David Nakayama - Palo Alto CA, US Jing Zhu - Fremont CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 15/16
US Classification:
709206000, 709229000
Abstract:
The invention relates to determining electronic text communication distributed in bulk is likely solicited. In one step, a first electronic and a second electronic submission are received. It is determined that the first electronic submission is likely solicited. A first portion is extracted from the first electronic submission and a second portion from the second electronic submission. The content of the first electronic submission influences extraction of the first portion, and the content of the second electronic submission influences extraction of the second portion. A first code is determined for the first portion and a second code is determined for the second portion, where the first code is indicative of the first portion and the second code is indicative of the second portion. The first code is compared to the second code. It is determined that the second electronic submission is likely solicited, at least in part, in response to comparing the first code to the second code.
Method And System For Providing A Disposable Email Address
A method, apparatus, and system are directed towards providing a Disposable Email Address (DEA) that may be employed, in part, to manage email spam. The DEA may be generated based, in part, on an end-user profile, a keyword, and a domain address. The DEA may be distinguishable from a non-DEA by a selection of at least one preserved character, such as a dash. Moreover, the DEA may be discarded at some time later, without affecting an end-user's ‘permanent’ email address.
Associating A Postmark With A Message To Indicate Trust
Kenneth Hickman - San Carlos CA, US Joshua Ramirez - San Jose CA, US Miles Libbey - Mountain View CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
H04L 9/00
US Classification:
713176000
Abstract:
A method and system directed to the communication of the trust characteristics of electronic messages using visual and audio postmarks. The postmarks may represent a particular trust level on a continuum that can range from suspicious to trusted. A message system may determine the baseline trust level of a message and assign a postmark to the message. The postmark can communicate the trust level of the message to a user without requiring the message to be opened or read. In one embodiment of the invention the user can create rules and filters to classify messages by trust level.
Michael Galloway - Sunnyvale CA, US Bryan Mayes - San Francisco CA, US Miles Libbey - Mountain View CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
H04L 9/00
US Classification:
713176
Abstract:
A phishing detection agent is provided. In one embodiment, a user's browser includes a plug-in application or agent that may capture a visual record of a webpage and, with a cached copy of known, authentic websites provided to it via periodic updates, perform a series of image comparison functions to determine if the suspected website is attempting to deceive the user. The phishing detection agent is capable of performing an image recognition algorithm, such as logo recognition algorithm, optical character recognition, an image similarity algorithm, or combination of two or more of the above. If the suspected webpage corresponds to one of the authentic web pages, but the domain name of the suspected web page does not match the domain name of one of the authentic web pages, the suspected web page is flagged as a phishing web site.
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