The technology we use, and even rely on, in our everyday lives –computers, radios, video, cell phones – is enabled by signal processing. Learn More »
1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.
News and Resources for Members of the IEEE Signal Processing Society
For our June 2014 issue, we cover recent patents granted in the area of machine learning for detection of malicious communications. The section below covers patents granted recently for methods for detecting malicious botnets, malware, or email transmissions.
Number: 8,516,584
Title: Method and system for detecting malicious behavioral patterns in a computer, using machine learning
Inventors: R. Moskovitch, D. Stopel, Z. Boger, Y. Shahar, and Y. Elovici
Issued: August 20, 2013
Assignee: Deutsche Telekom AG (Bonn, DE)
Number: 8,688,601
Title: Systems and methods for generating machine learning-based classifiers for detecting specific categories of sensitive information
Inventors: S. Jaiswal
Issued: April 1, 2014
Assignee: Symantec Corporation (Mountain View, CA)
Number: 8,682,812
Title: Machine learning based botnet detection using real-time extracted traffic features
Inventors: S. Ranjan
Issued: March 25, 2014
Assignee: Narus, Inc. (Sunnyvale, CA)
Number: 8,683,546
Title: Managing security configuration through machine learning, combinatorial optimization and attack graphs
Inventors: J. Dunagan
Issued: March 25, 2014
Assignee: Microsoft Corporation (Redmond, WA)
Number: 8,401,982
Title: Using sequencing and timing information of behavior events in machine learning to detect malware
Inventors: S. Satish and Z. Ramzan
Issued: March 19, 2013
Assignee: Symantec Corporation (Mountain View, CA)
Number: 8,443,441
Title: System and methods for detecting malicious email transmission
Inventors: S. Stolfo. E. Eskin, S. Herskop, and M. Bhattacharya
Issued: May 14, 2013
Assignee: The Trustees of Columbia University in the City of New York (New York, NY)
Number: 8,448,245
Title: Automated identification of phishing, phony and malicious web sites
Inventors: A. Banerjee and M. Faloutsos
Issued: May 21, 2013
Assignee: Stopthehacker.com, JAAL LLC (Riverside, CA)
Number: 8,516,590
Title: Malicious advertisement detection and remediation
Inventors: A. Ranadive, S. Rizvi, and N. Daswani
Issued: August 20, 2013
Assignee: Dasient, Inc. (Sunnyvale, CA)
Number: 8,683,595
Title:Systems and methods for detecting potentially malicious content within near field communication messages
Inventors: C. Barker
Issued: March 25, 2014
Assignee: Symantec Corporation (Mountain View, CA)
Number: 8,640,240
Title: Apparatus and method for using information on malicious application behaviors among devices
Inventors: K. Sagoo and K. Jung
Issued: January 28, 2014
Assignee: Samsung Electronics Co., Ltd. (Suwon-si, Korea)
If you have an interesting patent to share when we next feature patents related to machine learning, or if you are especially interested in a signal processing research field that you would want to be highlighted in this section, please send email to Shantanu Rane (srane AT pard DOT com).
Nomination/Position | Deadline |
---|---|
Call for Proposals: 2025 Cycle 1 Seasonal Schools & Member Driven Initiatives in Signal Processing | 17 November 2024 |
Call for Nominations: IEEE Technical Field Awards | 15 January 2025 |
Nominate an IEEE Fellow Today! | 7 February 2025 |
Call for Nominations for IEEE SPS Editors-in-Chief | 10 February 2025 |
Home | Sitemap | Contact | Accessibility | Nondiscrimination Policy | IEEE Ethics Reporting | IEEE Privacy Policy | Terms | Feedback
© Copyright 2024 IEEE - All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions.
A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.