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  1. Proceedings of the 7th ACM CCS International Workshop on Managing Insider Security Threats (MIST '15)
  2. Secure Power Management Scheme for WSN
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Insider Threats: Identifying Anomalous Human Behaviour in Heterogeneous Systems Using Beneficial Intelligent Software (Ben-ware)
Detecting Insider Threats: Who Is Winning the Game?
Compliance Control: Managed Vulnerability Surface in Social-Technological Systems via Signaling Games
Cyber Threats to Industrial Control Systems
Detecting Insider Threat from Enterprise Social and Online Activity Data
Secure Power Management Scheme for WSN
Modelling Social-Technical Attacks with Timed Automata
SKETURE: A Sketch-based Packet Analysis Tool
Novel Insider Threat Techniques: Automation and Generation of Ad Hoc Digital Evidence
Towards Insider Threat Detection Using Psychophysiological Signals
Mobile App Security Assessment with the MAVeriC Dynamic Analysis Module
A Preliminary Cyber Ontology for Insider Threats in the Financial Sector

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Secure Power Management Scheme for WSN

Content Provider ACM Digital Library
Author Tsai, Kun-Lin Ye, MengYuan Leu, Fang-Yie
Abstract Recently, wireless sensor networks (WSNs) have been widely used in military, healthcare, and scientific environments and their sensors are often powered by batteries. So how to lengthen WSN's lifetime is an important challenge. One of the solutions is reducing sensors' energy consumption. Power management in turn is one of effective methods for lowering their consumed energy. But to achieve this, we must take into account all design and communication stages of a WSN. Also, the power management may be out of control when the WSN is now being attacked by hackers or insiders. Therefore, in this paper, we proposed a secure energy consumption management scheme, named Secure Power Management (SPM for short) to deal with the energy problem of a WSN and prolong operating time of its sensor nodes as well as coordinators. Most importantly, the SPM is still effective during being inside attack or other malicious attack. It then efficiently turns WSN nodes into sleeping mode when they are idle and wakes them up when necessary. In this mode, nodes consume less energy. A token based control policy is also developed to manage the power consumption of WSN nodes. Our simulation results show that during insider or malicious attacks, the SPM still effectively reduces power consumption up to 19.01% compared with that of the typical power management scheme.
Starting Page 63
Ending Page 66
Page Count 4
File Format PDF
ISBN 9781450338240
DOI 10.1145/2808783.2808790
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-10-16
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Insider attack Wireless sensor network Break-even point Power management Malicious attack
Content Type Text
Resource Type Article
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