IEEE Transactions on Multi-Scale Computing Systems

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From the January-March 2017 issue

On The Outside Looking In: Towards Detecting Counterfeit Devices Using Network Traffic Analysis

By Trey Reece, Supreeth Sathyanarayana, William H. Robinson, and Raheem A. Beyah

Featured article thumbnail imageIn order to combat the growing threat of counterfeit components, this paper describes a technique to fingerprint and identify components based upon the way in which they send and process ICMP, UDP, and TCP network packets. These network fingerprints are then processed by an artificial neural network in order to categorize and classify individual processors. These tests found that ICMP and UDP packets provided an an effective, inexpensive, and fast tool for identifying counterfeit components in a network.

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Editorials and Announcements


  • We're pleased to announce that Partha Pratim Pande, professor at Washington State University, has accepted the position of inaugural Editor-in-Chief.


Guest Editorials

Nominations for TMSCS Best Paper Award

IEEE Transactions on Multi-Scale Computing Systems (TMSCS) is soliciting nominations for the best paper award. This is a distinguished award and an excellent way for us to recognize papers published in TMSCS. The award is based on general quality, originality, contributions, subject matter, and timeliness. Any paper published in the TMSCS during the last two calendar years preceding the award is eligible for nomination. However, self-nomination is not allowed. Each nominator can nominate one paper only. Please send your nomination to the EIC of TMSCS Partha Pande (

Nomination deadline is 31st March 2017. View PDF.

Call for Papers

Special Issue on Advances in Parallel Graph Processing: Algorithms, Architectures and Application Frameworks

Extended Submission Deadline: March 31, 2017. View PDF.

In the sphere of modern data science and applications, graph algorithms have achieved a pivotal place in advancing the state of scientific discovery and knowledge. Nearly three centuries of ideas have made graph theory and its applications a mature area in computational sciences. Yet, today we find ourselves at crossroads between theory and application. Spurred by the digital revolution, data from over a diverse range of high throughput channels and devices, from across internet-scale applications, are starting to mark a new era in data-driven computing and discovery. Building robust graph models and implementing scalable graph application frameworks in the context of this new era are proving to be significant challenges. Concomitant to the digital revolution, we have also experienced an explosion in computing architectures, with a broad range of multicores, manycores, heterogeneous platforms and hardware accelerators (CPUs, GPUs) being actively developed and deployed within servers and multinode clusters. Recent advances have started to show that in more than one way, these two fields - graph theory and architectures - are capable of benefiting and in fact spurring new research directions in one another.

This special issue invites original research papers and authoritative position/survey papers that showcase cutting-edge research at the intersection of graph algorithms, graph applications and advanced architectures.

General Call for Papers

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TMSCS is financially cosponsored by:

IEEE Computer SocietyIEEE Communications SocietyIEEE Nanotechnology Council


TMSCS is technically cosponsored by:

IEEE Council on Electronic Design Automation