(JoARB)
Jan - April 2014
Advancements
Journal of
in Robotics
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Journal of Advancements in Robotics
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† Dynamics and kinematics of robot
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Industrial Tribology Machine Dynamics & Maintenance
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Indian Institute of Technology Delhi, India
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Alternative Energy Technology Laboratory,
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STM Journal (s) Advisory Board
Dr. Ashish RunthalaLecturer, Biological Sciences Group,
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Indian Institute of Technology Madras, India.
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Chandigarh, India.
STM Journal (s) Advisory Board
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Prof. Hsu-Yung ChengAssociate Professor Department
of Computer Science and Information Engineering National Central University,
Taiwan.
Gora NandiProf. in IIIT Allahabad
India.
SreekumarAssistant Professor Indian Institute of
Information Technology Design and Manufacturing Kancheepuram
Chennai.
Amit Kumar Pandey Researcher in Robotics and AI(Human Robot
Interaction and Socially Intelligent Robots)LAAS (Laboratory for Analysis and Architecture of Systems) CNRS (French National Center for
Scientific Research) Paris, France
Dr. Bijan KarimiProfessor College: Tagliatela College
of Engineering Dept: Electrical & Computer Engineering and Computer Science India.
Dr. T. S. B. SudarshanProfessor and Chair, Dept. of Computer Science & Engg, Amrita VishwaVidya
Peetham (University),Carmelaram P.O Bangalore.
Mihir Kumar SutarResearch Scholar
Robotics & Control LabIndian Institute of Technology Roorkee.
I take the privilege to present the print version for the Volume 1 Issue (1) of Journal of Advancements
in Robotics. The intension of JoARB is to create an atmosphere that stimulates creativeness, research
and growth in the area of Robotics.
The development and growth of the mankind is the consequence of brilliant Research done by
eminent Scientists and Engineers in every field. JoARB provides an outlet for Research findings and
reviews in areas of Robotics found to be relevant for National and International recent developments
& research initiative.
The aim and scope of the Journal is to provide an academic medium and an important reference for
the advancement and dissemination of Research results that support high level learning, teaching and
research in the domain of Robotics.
Finally, I express my sincere gratitude and thanks to our Editorial/ Reviewer board and Authors for
their continued support and invaluable contributions and suggestions in the form of authoring write
ups/ reviewing and providing constructive comments for the advancement of the journals. With
regards to their due continuous support and co-operation, we have been able to publish quality
Research/Reviews findings for our customers base.
I hope you will enjoy reading this issue and we welcome your feedback on any aspect of the Journal.
Dr. Archana Mehrotra
Director
STM Journals
Director's Desk
STM JOURNALS
1. Olfactory Biometric Technique: An Emerging Technology Prathyusha Kanakam, K. C. B. Rao, S Mahaboob Hussain 1
2. Providing Security using Signature-based Broadcast Authentication in Sensor Networks B. Chakradhar 12
ContentsJournal of Advancements in Robotics
JoARB (2014)© STM Journals 2014. All Rights Reserved
Journal of Advancement in Robotics
Volume 1, Issue 1
www.stmjournals.com
Olfactory Biometric Technique: An Emerging
Technology
Prathyusha Kanakam1*, K. C. B. Rao
2, S Mahaboob Hussain
1
1Dept. of Computer Science & Engineering, University College of Engineering,
JNTUK, Vizianagaram, A.P, India 2Dept. of Electronics & Communication Engineering, University College of Engineering,
JNTUK, Vizianagaram, A.P, India
Abstract Now-a-days authentication becomes a part of our daily life. Biometric authentication or,
simply, biometrics refers to the method of using the physiological or behavioral characteristics to determine or verify one’s identity. Many of the systems require reliable
personal recognition approaches to either identify or determine an individual by requesting their services. The purpose of such approaches is to ensure that whether the
rendered services are accessed only by a legitimate user or anyone else. These methods
applied for secure access of buildings, computer systems, laptops, cellular phones and ATMs. There are different types of biometric techniques exists in our literature based on
the physical characteristics( such as eye’s features (Iris, retina), facial features, hand
geometry, ear shape, finger prints, wrist/hand veins, DNA, chemical composition of body odor) and the personal characteristics (such as handwritten signature, keystrokes/typing
patterns, voiceprint). In this paper, we presented a perspective scheme i.e., olfactory biometric technique (based on body odor) which is still under development. Odor, as a
biometric technique, has some important characteristics, mainly, it is faster and easier
since users will be not involved with unfamiliar interfaces such as typing password, signing or even deliberate exposing some part of the body.
Keywords: Authentication, biometrics, biometric technology, olfactory
biometric technique
JoARB (2014) © STM Journals 2014. All Rights Reserved
Journal of Advancement in Robotics
Volume 1, Issue 1
www.stmjournals.com
Providing Security using Signature-based Broadcast
Authentication in Sensor Networks
B. Chakradhar* Department of Computer Science and Engineering, Aditya Engineering College, Kakinada, AP, India
Abstract As per recent studies it is feasible to perform public key cryptographic operations on
resource-constrained sensor platforms. But the problem is energy consumption
introduced by public key operations makes any public key-based protocol an easy target of Denial-of-Service attacks. For example, if digital signature schemes like Elliptic Curve
Digital Signature Algorithm are used directly for broadcast authentication without
further protection, an attacker can simply broadcast fake messages and force the receiving nodes to perform a huge number of unnecessary signature verifications, and
can consume their battery power. This paper shows how to mitigate such Denial-of-Service attacks when digital signatures are used for broadcast authentication in sensor
networks. Specifically, this paper first presents two filtering techniques, the group-based
filter and the key chain-based filter, to handle the Denial-of-Service attacks against signature verification. Both methods can reduce the number of unnecessary signature
verifications when a sensor node is under Denial-of-Service attack. This paper then combines these two filters and proposes a hybrid solution to further improve the
performance.
Keywords: Sensor networks, security, broadcast authentication, Denial-of-Service
attacks, digital signature.
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