IEEE Transactions on Emerging Topics in Computing

Covering aspects of computer science, computing technology, and computing applications not currently covered by other IEEE Computer Society Transactions

From the January-March 2016 issue

LEoNIDS: A Low-Latency and Energy-Efficient Network-Level Intrusion Detection System

By Nikos Tsikoudis, Antonis Papadogiannakis, and Evangelos P. Markatos

Featured article thumbnail imageOver the past decade, design and implementation of low-power systems has received significant attention. While it started with data centers and battery-operated mobile devices, it has recently branched to core network devices such as routers. However, this emerging need for low-power system design has not been studied for security systems, which are becoming increasingly important today. Toward this direction, we aim to reduce the power consumption of network-level intrusion detection systems (NIDS), which are used to improve the secure operation of modern computer networks. Unfortunately, traditional approaches to low-power system design, such as frequency scaling, lead to a disproportionate increase in packet processing and queuing times. In this paper, we show that this increase has a negative impact on the detection latency and impedes a timely reaction. To address this issue, we present a low-latency and energy-efficient NIDS (LEoNIDS): an architecture that resolves the energy-latency tradeoff by providing both low power consumption and low detection latency at the same time. The key idea is to identify the packets that are more likely to carry an attack and give them higher priority so as to achieve low attack detection latency. Our results indicate that LEoNIDS consumes power comparable to a state-of-the-art low-power design, while, at the same time, achieving up to an order of magnitude faster attack detection.

download PDF View the PDF of this article      csdl View this issue in the digital library

Editorials and Announcements



Guest Editorials

Reviewers list

Author Index

Call for Papers

Technical Tracks

View PDF.

IEEE Transactions on Emerging Topics in Computing (TETC) seeks original manuscripts for submission under Technical Tracks. In a track the technical contents of a submitted manuscript must be of an emerging nature and fall within the scope and competencies of the Computer Society. Manuscripts not abiding by these specifications will be administratively rejected. The topics of interest for the Technical Tracks are as follows:

  • Enterprise Computing Systems
  • Computational Networks
  • Hardware and Embedded System Security
  • Educational Computing
  • High Performance Computing
  • Next Generation Wireless Computing Systems
  • Computer System Security
  • Emerging Hardware for Computing

Submitted articles must describe original research which is not published or currently under review by other journals or conferences. Extended conference papers should be identified in the submission process and have considerable novel technical content; all submitted manuscripts will be screened using a similarity checker tool. As an author, you are responsible for understanding and adhering to our submission guidelines. You can access them at the IEEE Computer Society web site, Please thoroughly read these before submitting your manuscript.

Please submit your paper to Manuscript Central at and select the "Technical Track" option in the drop-down menu for "Manuscript Type".

Please address all other correspondence regarding this Call For Papers to Fabrizio Lombardi, EIC of IEEE TETC,

Special Issue on Computing Education & Learning Technologies

Submission deadline: June 1, 2016. View PDF.

Technology and education have wandered many separate but rarely intersecting paths throughout the 20th Century. In the 21st Century, the convergence of cost effective computing and networking products, methodologies, and services is finally enabling more researchers and practitioners than ever before to explore innovative ways to use computer technologies to manage and enhance the teaching and learning experience. Recognizing the importance of these trends, this Special Issue/Special Section invites submissions belonging to one or all of the three mainstream learning domains.

Special Issue on Emerging Interconnect Technology for Many-core Architectures

Submission deadline: June 1, 2016. View PDF.

As multicore computing paradigm becomes more complex and heterogeneous, the design and implementation of the underlying communication fabric such as Network-on-Chips (NoCs) to support the massive data transfer within the power budget and performance requirements of the chip is fast becoming an enormous challenge. Further, as future NoCs are expected to connect even larger number of cores, there are several challenges facing designers including excess communication power, reduced performance (throughput, latency), limited scalability and reliability. Emerging technology such as silicon photonics, optical interconnects, wireless and 3D interconnects can provide high interconnect bandwidth, provide minimal access latencies, and high power-efficiency for NoCs. However, there are several technology challenges to realize system wide performance improvement while overcoming the power barrier with multicores. This special issue will highlight the advances in emerging interconnects from the system level to device level where hardware advances are co-designed with new architectures and programming models.

Special Issue on Emerging Trends and Design Paradigms for Memory Systems and Storage

Submission deadline: June 1, 2016. View PDF.

The continuing scaling of silicon-based microelectronic technology, as well as the emergence of new, non-silicon-based technologies, enable increasing system complexity and performance, paving the way to applications which had been unthinkable a few years ago. At the same time, an ever-increasing amount of data needs to be stored and accessed quickly, posing new challenges to memory systems and storage elements. IEEE Transaction on Emerging Topics in Computing (TETC) seeks original manuscripts for a Special Issue/Section on Emerging Trends and Design Paradigms for Memory Systems and Storage covering the entire spectrum of relevant research activities, from manufacturing to test, which is scheduled to appear in the second issue of 2017. All aspects of manufacturing, design, test, reliability, resilience and availability of memory systems and storage are of interest.

Special Issue on Emerging Technologies in Computer Design

Submission deadline: June 29, 2016. View PDF.

IEEE International Conference on Computer Design (ICCD) and IEEE Transactions on Emerging Technologies in Computing (TETC) invite manuscripts describing original work on practical and theoretical work covering system and computer architecture, test, verification and security, design and technology, and tools and methodologies.

Special Issue on Sensor Data Computing as a Service in Internet of Things

Extended Submission deadline: July 1, 2016. View PDF.

The internet-of-things (IoT) has gained significant attention over the past decade. It "allows people and things to be anytime, anyplace, with anything and anyone, ideally using any path/ network and any service." Sensor data computing as a service model (also called sensing as a service) envisions to offer sensor data to interested consumers on demand. It will provide access to sensors or sensor data as a service similar to other utility‐based models such as infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and software-as-a-service (SaaS). Sensor data computing as a service model is also expected to be on top of an IoT infrastructure and creates novel business and financial opportunities to increase the sustainability of IoT. The number of things connected to the internet exceeded the number of people on earth in 2008. By 2020, there will be 50 to 100 billion devices connected to the internet, ranging from smartphones, pcs, and ATMs to manufacturing equipment in factories and products in shipping containers. It has been estimated that every individual on earth will have more than six devices connected to the internet by 2020. The sensory data these object produce have significant value to many different parties from supply chain management to healthcare services. Sensor data computing as a service model allows interested parties to buy data from an open market. Sensor data computing as a service model needs to be supported by wide range of sensing and communication technologies. Majority of these sensor data will come from the internet connected smart objects. This special issue will comprise a state of the art research finding related sensor data computing as a service model. This feature will include board range of technologies that involve in deploying and capturing sensor data to processing them in the cloud to deliver them to interested consumers on demand.

Special Issue on Big Data Computing for the Smart Grid

Submission deadline: September 1, 2016. View PDF.

With the increasing deployment of new monitoring devices and advanced measurement infrastructures, such as phasor measurement units and smart meters, smart grid is collecting large amounts of energy-related data at an unprecedented granularity, speed, and complexity. Smart grid has become data-driven, which calls for intelligent big data computing methods and solutions (such as predictive data mining, robust data analytics, artificial intelligence, distributed and high performance computing, efficient data management, database and data warehousing, and cloud computing techniques). With the growing volume, speed and types of big data from the energy industry, data-intensive computing is imperative to guarantee critical functionalities in smart grid, such as real-time wide-area situational awareness, dynamic energy management, demand response, vehicle-to-grid technology, load prediction, and renewable production forecasting. The focus of this special issue is on the improvement of smart grid operations and applications with emphasis on big data computing. We solicit and publish original research papers on the technologies, algorithms, and methodologies that highlight emerging computation technologies for smart grid big data.

Special Issue on Cyber-Physical Social Systems: Integrating Human into Computing

Submission deadline: September 1, 2016. View PDF.

IEEE Transaction on Emerging Topics in Computing (TETC) seeks original manuscripts for a Special Issue on Cyber-Physical-Social Systems: Integrating Human into Computing. The last decade has seen human factors becoming increasingly important in computing systems. Therefore, by integrating human factors as part of a system, a cyber-physical social system (CPSS) encompasses not only cyberspace and physical world, but also human knowledge, mental capacity, and sociocultural elements. Just as the Internet has transformed the way that people interact with information, CPSS will transform the way people interact with every computing systems and create new revolutionary science, technical capabilities for better quality of life. To actualize this vision, CPSS no doubt requires further innovations in creating new device, service and computing architecture. This special issue will comprise state-of-the-art research in enabling cyber-physical social systems with emphasis on computing, including a broad range of enabling technologies in developing and optimizing the architecture, design, and operation of CPSS.

Special Issue on eDemocracy and eGovernment (SIEDEG)

Submission deadline: September 1, 2016. View PDF.

Representatives of the governments, international organizations and universities are called to develop a vision for eDemocracy, and eGovernment. The SIEDEG is a peer-review special issue to be published at IEEE Transactions on Emerging Topics in Computing. It covers technical and non-technical aspects of eSociety, eGovernance, eParticipation, eDemocracy, eGovernment and eHealth. The main objective is to discuss the regions’ transition to an information and knowledge society that will accelerate and enhance regional economic, social, cultural and technological development and exchange. SIEDEG addresses the main issues of public administration and electronic democracy with an academic and practical perspective.

Special Issue on High Dependability Systems

Submission deadline: September 1, 2016. View PDF.

IEEE Transaction on Emerging Topics in Computing (TETC) seeks original manuscripts for a Special Issue/Section on High Dependability Systems scheduled to appear in the third issue of 2017. The continuous scaling of microelectronic technology enables to increase system complexity and performance. This comes together with new dependability (i.e., reliability, availability, safety and security) challenges, as possible in general purpose electronics as well for applications demanding high dependability, such as automotive, space, transportation, etc. All aspects of fault modelling, reliability, availability, safety and security are of interest for this Special Issue/Section. Original manuscripts covering the entire spectrum of relevant research activities are sought.

Joint Special Section on VLSI and Nanotechnology Design Trends for Computing Innovations

Submission deadline: September 30, 2016. View PDF.

IEEE Transactions on Nanotechnology and IEEE Transactions on Emerging Topics in Computing seek original manuscripts for a Special Section tentatively scheduled to appear in the September 2017 issues.

Special Issue on Emerging Technologies for Disaster Management

Submission deadline: December 1, 2016. View PDF.

We live in a world in which natural and man-made disasters (such as earthquakes, hurricanes, terrorist attacks, and industrial accidents) often occur. These disasters are so sudden in nature, so causing loss of human lives and interruption of essential public services (such as health care, electricity, water, transportation and communication). Disaster management aims to reduce or avoid potential losses from hazards, ensure prompt and appropriate assistance to victims and achieve a rapid and effective recovery. In recent years, new computing/communication technologies have emerged to improve the efficiency of disaster management; for example, crowdsourcing has been applied in the Nepal earthquake to collect the latest information from earthquake-affected areas and create a dynamic map that shows the locations in which aid and relief are needed. Although some preliminary attempts have been made to apply emerging technologies for disaster management, there are many open challenges that need to be addressed to fully exploit the potentials of these promising technologies.

Various technologies must be considered in the entire disaster management process and its many phases, including prevention, preparedness, relief and recovery. Although disasters cannot often be prevented, new technologies must be explored to predict and prepare through robust and resilient infrastructures. After a disaster occurs, advanced technologies are needed to assist in searching and rescuing victims. Since power and communication are usually interrupted, it is important to quickly recover communication using energy-efficient technologies, so that processing of information can take place; furthermore, good planning and scheduling can also help to quickly recover from a disaster.

Special Issue on Innovation in Technologies for Educational Computing

Submission deadline: December 1, 2016. View PDF.

IEEE Transactions on Emerging Topics in Computing and IEEE Transactions on Learning Technologies seek original manuscripts for a Special Issue/Section on Innovation in Technologies for Educational Computing tentatively scheduled to appear in the October-December 2017 issues. The goal of this joint special issue is to provide an overview of most recent emerging and "fringe" learning technologies.

Special Issue on Reliability-aware Design and Analysis Methods for Digital Systems: from Gate to System Level

Submission deadline: March 1, 2017. View PDF.

The continuous scaling of CMOS devices as well as the increased interest in the use of emerging technologies make more and more important the topics related to defect and fault tolerance in digital systems. To address the increasing complexity of digital systems and their challenging reliability requirements, it is imperative to employ design and analysis methods to different levels of the abstraction, starting from the system level down to the gate level. The IEEE Transaction on Emerging Topics in Computing (TETC) seeks original manuscripts for a Special Section on Reliability-aware Design and Analysis Methods for Digital Systems: from Gate to System Level scheduled to appear in the March issue of 2018. All aspects of design, manufacturing, test and analysis of systems affected by defects during manufacturing and by faults during system operation are of interest.

Access recently published TETC Articles

RSS Subscribe to the RSS Feed of latest TETC Content Added to the Digital Library.

Mail Sign up for the Transactions Connection Newsletter.