[AISWorld] Newly Published Papers in the IJITCA/HICSS-52 Call for Papers

[Tyson Brooks]

Hello Colleagues –



The inaugural issue of the *International Journal of Internet of Things and
Cyber-Assurance (IJITCA)*, published by Inderscience Publishers, has
officially launched! The objective of the IJITCA is to increase the
visibility of current research in cyber-assurance and emergent trends in
information assurance theory, cyber-security application, architecture and
information security pertaining to the Internet of Things (IoT) based on
theoretical aspects and studies of practical applications. The journal is
now open and accepting quality research articles.


The inaugural 2018 Vol.1 No. 1 issue, is *free of charge* and can be
accessed at the following location: http://www.inderscience.com/in
fo/inarticletoc.php?jcode=ijitca&year=2018&vol=1&issue=1. The IJITCA
editorial board members and I are excited to publish this new journal venue
as the inaugural issue includes the following articles:



**Semantically Enabling IoT Trust to Ensure and Secure Deployment of IoT
Entities***Authors*: Konstantinos Kotis, Iraklis Athanasakis, George A.
Vouros

*Abstract*: Semantics for the IoT domain have been already introduced for
the (semi-)automated deployment of heterogeneous entities. Depending on the
level of interoperability and the ability of dynamic expansion of the IoT
environment, an application may have to 'decide' (and then select) which
devices in that environment are trustworthy for ensuring and securing
effective deployment. In the open and distributed IoT, where a large number
of heterogeneous entities will be registered, the need to ensure and secure
their selection and deployment tasks is highly important. In this paper, an
effective modelling approach towards supporting the selection and
deployment of IoT entities is presented, based on the notion of trust
semantics. Using fuzzy ontologies as an enabler of trust semantics in IoT,
this work demonstrates that such semantics, when seamlessly integrated in
IoT ontologies, serve as a secure selection key to an IoT application (or
service) for selecting, among the available entities, the one(s) that the
application should trust for its effective deployment in the specific
environment/context.

**Main Factors and Good Practices for Managing BYOD and IoT Risks in a K-12
Environment*
**Authors*: Oluwaseun Akeju, Sergey Butakov, Shaun Aghili

* Abstract: *The presented research looks into information security and
privacy risk related to using mobile and embedded devices for learning in
the K-12 environment. Bring Your Own Device (BYOD) program and Internet of
Things (IoT) for learning are the two focus areas discussed in this paper.
The NIST privacy risk management framework (NIST-8062) template was used to
illustrate the privacy impact factors K-12 ecosystem participants should
consider while developing BYOD/IoT programs. The key factors involved in
the decisions include reputation costs, direct business costs and
non-compliance costs. Key security issues and risks such as network access,
server and end-user device malware, application risks, and privacy risks
were identified. The analysis of the risks suggested to recommend some good
practices derived from various documents suggested by ISACA, IIA, SANS, and
NIST. The proposed good practices were subsequently incorporated into BYOD
guide for the K-12 system in two Canadian provinces (Alberta and Manitoba)
in an attempt to increase its effectiveness in terms of addressing relevant
risks. Although the good practices compiled in this research are proposed
to be incorporated into the Alberta and Manitoba's BYOD guide for K-12
schools, the same process is applicable to any similar K-12 environment.

**Internet of Things: A Survey of Challenges and Issues*
**Author*: Qusay Idrees Sarhan

*Abstract*: Internet of things (IoT) is the promising and future internet.
The IoT is a network of connected sensors, actuators, and everyday objects
that are used in various domains, such as healthcare, airports, and
military. As it connects everything around us to the internet, the IoT
poses a number of severe challenges and issues as compared to the
conventional internet. Currently, there are massive studies on the IoT,
these studies mostly cover IoT vision, enabling technologies, applications,
or services. So far, a limited number of surveys point out comprehensively
the challenges and issues of the IoT which considered unique to this future
internet and which must be faced and tackled by different research
communities. In this paper, well-known IoT challenges and issues (e.g.,
reliable cooperation, standards, protocols, operational, data, and
software) have been surveyed alongside many directions. Furthermore, the
paper also raises awareness of work being achieved across a number of
research communities to help whoever decided to approach this hot
discipline in order to contribute to its development.

**Towards Trusted Mobile Payment Services: A Security Analysis on Apple Pay*
**Authors*: Ashay Jawale, Joon Park

* Abstract:* Today, many stores and users adopt mobile payment services due
to the various benefits that the technology can provide. Users can make
transactions with their mobile devices such as smart phones instead of
physically handing over cash or swiping credit cards. Stores can implement
the payment service in a relatively simple and inexpensive way. For both
users and stores, the technology increases speed of the checkout process
thus reducing the waiting time. The time savings may give more profits to
stores. Although the new mobile payment service can provide users and
stores with various benefits, it also introduces new security concerns and
vulnerabilities. In this paper, we analyze the security features in Apple
Pay and discuss possible ways to make it more reliable. Furthermore, once
we delve into security vulnerabilities in Apple Pay, we propose the
possible solutions along with their implementation to overcome the security
concerns in the service.

**A Study of Security and Privacy Issues Associated with the Amazon Echo*
*Authors*: Catherine Jackson, Angela Orebaugh
*Abstract*: More than 11 million US consumers have an Amazon Echo installed
in their homes (Gonzales, 2017). While many consumers view the Amazon Echo
as a useful helper in the home to provide information, play music, and
order items online, consumers underestimate the device's security and
privacy impacts. Additionally, law enforcement officials are beginning to
see how consumer internet of things (IoT) devices can provide crucial
evidence in cases. This paper presents security and privacy issues with the
Amazon Echo and recent cases in which law enforcement officials have
employed the Amazon Echo in an investigation. Due to the Amazon Echo's
privacy issues and potential uses in court, this paper analyses the fourth
amendment in regards to the Amazon Echo. This paper concludes with
suggested recommendations that Amazon Echo owners should employ for greater
security and privacy.



Furthermore, the IJITCA has a forthcoming *Special Issue on ‘Machine
Learning and the Internet of Things’* with guest editors *Professor Vijay
Bhaskar Semwal*, Indian Institute of Information Technology, Dharwad, *Dr.
Rubén González Crespo*, Universidad Internacional de La Rioja (UNIR),
and *Professor
Vijender Kumar Solanki, *CMR Institute of Technology (Autonomous), India,
addressing original research on the theory, design and implementation of
machine learning and IoT. The articles from this forthcoming special issue
include the following:



**Employing an Efficient Tamper Detection Mechanism for IoT-based
Healthcare Systems**

*Author**: *Ahmed Elngar


*Abstract*: Security of large-scale networks of Internet of Things (IoT) is
the most significant challenge that needs a smarter security mechanism.
Therefore, tamper detection (TD) is an efficient security mechanism for
IoT-based healthcare system, which used to deal with security violations.
Since there are many security threats affect the originality of medical
information. In this paper, a new tamper detection mechanism for IoT-based
Healthcare Systems called (IOT-TD) model has been proposed. This paper
effectively proposed (ANN-GA) tamper detection mechanism. A Genetic
Algorithm (GA) is used to optimize weight and bias values of Artificial
Neural Networks (ANN), which lead to maximize the detection accuracy,
minimize the timing detection speed and the efficiency energy saving of
IoT-network modules. The experimental results showed that the tamper
detection performance of (ANN-GA) is 98.51%. In addition, the proposed
model showed that the (ANN-GA) enhances the timing detection to 0.03 sec,
which is important for real time (IOT-TD) model healthcare system, and the
efficiency energy saving transmission is 1980 times better than full
transmission. In addition, the proposed model relies on the
certificate-based Datagram Transport Layer (DTL).



**Dictionary Based Intra Prediction Framework for Image Compression via
Sparse Representation**

*Authors: *Arabinda Sahoo, Pranati Das


*Abstract*: Nowadays, image compression is very important for efficient
data storage and transmission. This paper presents a dictionary based
intra-prediction framework for image compression using sparse
representation, with the construction of trained over-complete
dictionaries. The intra-prediction residuals selected from different images
and K-SVD algorithm are used to train over-complete dictionaries. The
trained dictionaries are integrated into the intra-prediction framework for
efficient image compression. In this proposed method, first
intra-prediction is applied over an image and then prediction residuals of
the image are encoded using sparse representation. Sparse approximation
algorithm and trained dictionaries are employed for encoding of prediction
residuals of the image. The coefficients obtained from sparse
representation are used for encoding. For efficient sparse representation
with fewer dictionary coefficients, an adaptive sparse image partitioning
method is introduced. Simulation result demonstrates that the proposed
image compression method yields improved encoding efficiency as compared to
existing schemes.

**Design and Study of Dual Band Slotted Patch Radiator Using Bio-Inspired
Optimization Approach for Wireless Communication**

*Authors**: *Swarnaprava Sahoo, Mihir Narayan Mohanty


*Abstract*: A new dual band slotted patch radiator is proposed for Wi- MAX
and satellite applications is prosposed. The two wide appropriate
rectangular slots in opposite faces of the non- radiating edge of the patch
and an I- shaped slot in between the two wide slots are embedded in the
radiating element for good impedance matching. Particle Swarm Optimization
(PSO) and Firefly Algorithm (FA) are used for optimum dual band
performance. The optimization achieves dual band at 3.5 GHz and 4.3 GHz
respectively ranging from 3.4371 to 3.5780 GHz of bandwidth 140.9 MHz and
from 4.2311 to 4.3622 GHz of bandwidth 132.1 MHz along with VSWR < 2. The
proposed antenna is capable of covering Wi-MAX and C-band, S-band satellite
applications. The optimized proposed radiator is demonstrated, fabricated
and experimentally verified with the maximum gain of 2.4 dBi also being
observed.

**Use of Adaptive Algorithm for Impulsive Noise Cancellation**

*Authors*: Sarthak Panda, Mihi Narayan Mohanty


*Abstract*: The desire of a clean signal at the users end is a great
demand. Adaptive algorithms are most suitable for such task. In this paper,
the authors propose a synthetic signal contaminated with impulsive noise.
Additionally, the its application has been extended to noisy biomedical
signal as ECG. Due to the important separation from the signal, as its
occurrence is sudden and often similar to the signal, popular adaptive
algorithms have been used for cancellation of impulsive noise.
Additionally, the  Wilcoxon LMS is verified for impulsive noise case and
the  WLMS algorithm has been modified resulting in less MSE, SNR
improvement and faster convergence.

**An Architecture for HESTIA: High-level and Extensible System for Training
and Infrastructure Risk Assessment* **(additional paper)*

*Authors*: Ananth A. Jillepalli, Daniel Conte De Leon, Yacine Chakhchoukh,
Mohammad Ashrafuzzaman, Brian K. Johnson, Frederick T. Sheldon, Jim
Alves-Foss, Predrag T. Tosic, Michael A. Haney

*Abstract*: Currently, cyber-attacks on Cyber-Physical Control Systems
(CPCS) are difficult to prevent given the characteristics and
vulnerabilities of today's critical infrastructures. Effective
vulnerability identification and risk assessment in CPCS can be challenging
without a high-level and complete model of the system. Furthermore, knowing
the system is not enough; knowledge of possible attacks and applicable
defenses is also needed. Hence, what is necessary is a complete, rigorous,
and consistent process that can subject a CPCS' model to possible attack or
defense scenarios. In this article, we present the architecture of HESTIA:
High-level and Extensible System for Training and Infrastructure risk
Assessment. HESTIA is a modeling and risk assessment process and tool-set.
HESTIA can assist in formulating the best infrastructure hardening strategy
for a given CPCS. We also describe the non-trivial design and
implementation hurdles involved in the development of HESTIA and strategies
for addressing these hurdles. Once fully developed, HESTIA will be able to:
1) check an existing CPCS infrastructure's specification for completeness
and consistency, 2) identify the types of attacks or defenses, from a
pre-defined library, which can be applied on that CPCS infrastructure, and
3) enable the guided execution of attack-defense scenarios for training and
infrastructure risk assessment. HESTIA's implementation leverages previous
work on high granularity system specification and configuration.


*~ ~ Call for Papers for the Hawaii International Conference on System
Sciences–52 (HICSS-52), *
*January 8-11, 2019: Grand Wailea, Maui ~ ~*


*Mini-Track: Cyber-Assurance for Internet of Things, Software-Defined
Networks and Fog Computing Architectures*


*Minitrack Chairs: *

Dr. Tyson Brooks, Syracuse University

Dr. Erich Devendorf, Air Force Research Laboratory

Dr. Shiu-Kai Chin, Syracuse University

**April 15, 2018*: Paper Submission System Opens
**June 15, 2018* | 11:59 pm HST: Paper Submission Deadline
**August 17, 2018*: Notification of Acceptance/Rejection
**September 22, 2018*: Deadline for Authors to Submit Final Manuscript for
Publication
**October 1, 2018:* Deadline for at least one author of each paper to
register for HICSS-52


The Hawaii International Conference on System Sciences (HICSS) – has been
known worldwide as one of the longest standing scientific communities in
the information systems and technology fields. Since 1968, it has become a
respected destination that attracts high-caliber scholars and professionals
in academia, industry and government agencies around the world to discuss
their cutting-edge research.

The objective of this mini-track is to increase the visibility of current
research and emergent trends in Cyber-Assurance theory, application,
embedded security and machine-learning for the Internet of Things (IoT),
software-defined networks (SDN)/network function virtualization (NFV) and
Fog computing architectures based on theoretical aspects and studies of
practical applications. Cyber-assurance is the justified confidence that
networked systems are adequately secure to meet operational needs, even in
the presence of attacks, failures, accidents and unexpected events.
Cyber-assurance means that IoT systems, smart internet connected devices
(ICD) and networks provide the opportunity of automatically securing
themselves against cyber-attacks. The difference is that the concept of
cyber-assurance must provide embedded, secure microchips/processors in ICD
devices and virtual networks that can continue to operate correctly even
when subjected to an attack.



IoT devices using SDN/NFV and Fog computing systems and networks should be
able to resist the various security cyber-attacks such as hacking of
networks, devices, theft of information, disruption, etc. and be able to
continue performing under severe environmental conditions. Through embedded
processors and machine learning algorithms over the transmitted
information, the miscoding and leaking of information during transmission
channels has to monitor any loss, miscoding and leaking of data. Timely
adjustments of information with falling quality and automatic switching to
the best routing IoT systems by making uses of multi-directional routing is
also warranted. Cyber-assurance will need to provide the principles and
technologies to unify these systems to deliver the end-state goal of secure
IoT systems for greatly enhanced interoperability, scalability,
performance, and agility.



The target audience of this mini-track will be composed of researchers,
professionals and students working in the field of cyber-security, wireless
technologies, information system theory, systems engineering, information
security architecture and security system design along with university
professors and researchers involved in information assurance,
cyber-security, IoT, SDN/NFV and Fog computing related networking. Through
the research identified for this track, graduate students, researchers and
academics who want to improve contribute their understanding of the latest
security developments for the IoT, SDN/NFV and Fog computing. This
mini-track will focus on the security needs of these environments,
highlighting key issues and identifying the associated security
implications so that the general participates can readily grasp the core
ideas in this area of research. Recommended topics for this track include,
but are not limited to, the following:

   -  Hacking against IoT/Fog computing networks/devices
   -  SDN/NFV security architectures and designs
   -  Vulnerabilities and exploits in SDN/NFV architectures
   -  Automated IoT/Fog computing vulnerability identification,
   -  Research on automated IoT/Fog computing vulnerability assessment and
   intrusion detection tools and techniques
   - Genetic algorithms used to spawn and control intelligent agents for
   information assurance for IoT/Fog computing devices
   - Network management and visualization tools that support real time
   planning and control of tactical nets as well as tools for intrusion
   detection and forensic analysis in hybrid IoT/Fog computing networks
   - IoT/Fog Computing frameworks which allow diverse input data streams to
   be transformed into a unified information fusion space for processing using
   more unified and tractable procedures
   - Development of secure design methods, architectures, and
   implementations to minimize IoT/Fog computing power dissipation
   - IoT/Fog Computing sensor networking systems, including signal
   processing and communications interactions, distributed detection and
   estimation, and networking protocols,
   - High frequency IoT/Fog Computing devices and modules to enhance
   situational analysis and increase the communication functionality

*Important Dates for Paper Submissions*


*April 15, 2018*: Submission site opens
*June 15, 2018*: Paper submission deadline
*August 17, 2018*: Notification of acceptance/rejection


*PAPER SUBMISSION *
Authors are invited to submit papers electronically in PDF format.
Submitted manuscripts should be structured as technical papers and may not
exceed 10 letter-size (8.5 x 11) pages including all figures, tables and
references.

Submissions not conforming to these guidelines may be returned without
review. The official language of the conference is English. All manuscripts
will be reviewed and judged on technical strength, originality,
significance, quality of presentation, and interest and relevance to the
conference attendees.  The proceedings will be published through HICSS
conference proceedings. Submitted papers must represent original
unpublished research that is not currently under review for any other
conference or journal. Papers not following these guidelines will be
rejected without review and further action may be taken, including (but not
limited to) notifications sent to the heads of the institutions of the
authors and sponsors of the conference. Submissions received after the due
date, exceeding the page limit, or not appropriately structured may not be
considered.

*PUBLICATION*


Proceedings will be published through the HICSS-52 conference proceedings.
Papers submitted could be accepted as REGULAR papers (10 pages) or SHORT
papers (6 pages), depending on the review scores.

*FAST TRACK JOURNAL OPPORTUNITY*


Authors of papers accepted for presentation in the mini-track will be
offered the opportunity to submit an extended  version of their papers for
consideration for fast-track publication in the International Journal of
Internet of Things and Cyber-Assurance [IJITCA] (
http://www.inderscience.com/jhome.php?jcode=ijitca).

* For more details: http://hicss.hawaii.edu/ <http://hicss.hawaii.edu/>*

I hope that the IJITCA will represent the IoT security community by
becoming the international leader in IoT and cyber-assurance research so
please consider the IJITCA for your future research. This effort has become
possible because of the diligent support of the IJITCA editorial board for
their dedication, commitment, and contributions. I am very confident that
the IJITCA will make an impact to the IoT/cyber-assurance field and become
a success under the guidance of such distinguished professionals. The
journal looks forward to receiving your submissions, suggestions, and
volunteer services. For additional details and paper submissions, please
visit: http://www.inderscience.com/jhome.php?jcode=ijitca.



Thank you all,



Dr. Tyson Brooks

Adjunct Professor, Syracuse University

IEEE Senior Member



EiC- International Journal of the Internet of Things and Cyber-Assurance

ijitcaeditor at gmail.com

<ijitcaeditor at gmail.com>



*Executive Editors*

Dr. B.B. Gupta, National Institute of Technology Kurukshetra, India

Dr. Konstantinos Kotis, University of Piraeus, Greece

Dr. Angela Orebaugh, University of Virginia, USA



*Editorial Board Members*

Dr. Dharma Agrawal, University of Cincinnati, USA

Dr. Esraa Alomari, University of Wasit, Iraq

Dr. Eduard Babulak, Fort Hays State University, USA

Dr. Sergey Butakov, Concordia University of Edmonton, Canada

Dr. Ersin Dincelli, State University of New York, Albany, USA

Dr. Yousef Farhaoui, Moulay Ismail University, Morocco

Dr. Utku Köse, Usak University, Turkey

Dr. M. Bala Krishna, GGS Indraprastha University, India

Dr. Christopher Leberknight, Montclair State University, USA

Dr. Martin Murillo, University of Notre Dame, USA

Dr. Joon Park, Syracuse University, USA

Dr. Rasmus Ulslev Pedersen, Copenhagen Business School, Denmark

Dr. Rajasekaran Rajkumar, Vellore Institute of Technology, India

Dr. Shwadhin Sharma, California State University, Monterey Bay, USA

Dr. Vijendra Singh, NorthCap University, India

Dr. Alireza Souri, Islamic Azad University, Iran

Dr. Suresh Veluru, United Technologies Research Center Ireland, Ireland

Dr. Shingo Yamaguchi, Yamaguchi University, Japan

Dr. Honbo Zhou, UbiLink Co. Ltd., China

Dr. Dimitris Zissis, University of the Aegean, Greece