NDLI: Malicious node detection for the future network security from epistemic uncertainties

Content Provider	IEEE Xplore Digital Library
Author	Xu Huang Ahmed, M.R. Hongyan Cui Li Shutao
Copyright Year	2013
Description	Author affiliation: Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China (Hongyan Cui) \|\| Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China (Li Shutao) \|\| Fac. of Educ., Sci. Technol. & Math., Univ. of Canberra, Canberra, ACT, Australia (Xu Huang; Ahmed, M.R.)
Abstract	The next generation of WSN will benefit when sensor data is added to blogs, virtual communities, and social network applications. Wireless sensor networks (WSNs) are popular now as distributed networks exposed to an open environment, collecting of self-organized nodes with limited computation and communication capabilities and energy covering deployed areas that interested by the controllers. WSNs have been as aware of environmental technologies such as sound, water contamination, temperature, pressure, motion and other pollutants. However, as wireless communication becomes all sectors of daily life, the security threats to WSNs become increasingly diversified, prevention based due to the open nature of the wireless medium. The node in a WSN is called compromised becomes another major problem of WSN security because it allows an adversary to enter inside the security perimeter of the network and launch attacks, which has raised a serious challenge for WSNs. This paper is focusing on investigating integrating wireless sensor networks with cloud computing with the case that internal attacks of WSNs with multi-hop and single sinker for the future network, such as compromised nodes in a deployed WSN, where we first present our novel protecting algorithm to WSN to protect it with the evidences that our novel algorithm works efficiently and effectively. Our new algorithm takes advantages from uncertain decisions, which means there is no need to know the structure before we check the network. It is involved in the posteriori probability of binary events represented by the beta family of density functions and Dempester Shafer theory (DST). AS it has no need to have any knowledge about the structure of the network, it will be flexible to use in real life.
Starting Page	1
Ending Page	6
File Size	806904
Page Count	6
File Format	PDF
ISSN	18825621
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	NICT
Subject Keyword	Internal attacks Wireless sensor networks Cloud computing Security of WSNs Beta function Educational institutions Mathematics Sensors Sensor optimum deployment Dempester Shafer Theory Integrated WSN
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Protecting an WSN from internal attack based on epistemic uncertainties

Protecting wireless sensor networks from internal attacks based on uncertain decisions

Effective algorithm for protecting WSNs from internal attacks in real-time

A Novel Evidential Evaluation for Internal Attacks with Dempster-Shafer Theory in WSN

Resiliency Controlling of Wireless Sensor Networks for the Protecting from Internal Attacks

A Novel Algorithm for Protecting from Internal Attacks of Wireless Sensor Networks

A Novel Reputation Model for Malicious Node Detection in Wireless Sensor Network

Detection of Malicious Node in Wireless Sensor Network Based on Data Mining

A Neighbor-Based Detection Scheme for wireless sensor networks against node replication attacks

Malicious node detection for the future network security from epistemic uncertainties

Similar Documents

Protecting an WSN from internal attack based on epistemic uncertainties

Protecting wireless sensor networks from internal attacks based on uncertain decisions

Effective algorithm for protecting WSNs from internal attacks in real-time

A Novel Evidential Evaluation for Internal Attacks with Dempster-Shafer Theory in WSN

Resiliency Controlling of Wireless Sensor Networks for the Protecting from Internal Attacks

A Novel Algorithm for Protecting from Internal Attacks of Wireless Sensor Networks

A Novel Reputation Model for Malicious Node Detection in Wireless Sensor Network

Detection of Malicious Node in Wireless Sensor Network Based on Data Mining

A Neighbor-Based Detection Scheme for wireless sensor networks against node replication attacks

Malicious node detection for the future network security from epistemic uncertainties