the non-exclusive right to publish the Work electronically and in a non-commercial purpose make it accessible on the Internet. The Author warrants that he/she is the author to the Work, and warrants that the Work does not contain text, pictures or other material that violates copyright law. The Author shall, when transferring the rights of the Work to a third party (for example a publisher or a company); acknowledge the third party about this agreement. If the Author has signed a copyright agreement with a third party regarding the Work, the Author warrants hereby that he/she has obtained any necessary permission from this third party to let Chalmers University of Technology and University of Gothenburg store the Work electronically and make it accessible on the Internet.

in how the witnesses are chosen. We thoroughly compare their performance with regard to TRD capability, communication overhead, storage overhead, and attack resilience. The efficacy and efficiency of DP2AC are confirmed by detailed performance evaluations. Index Terms—Wireless sensor networks, access

authentication, confidentiality, data integrity, and nonrepudiation. Thorough analysis on security and efficiency is incorporated, demonstrating the feasibility and effectiveness of the proposed architecture. Index Terms—Anonymity, traceability, pseudonym, misbehavior, revocation, wireless mesh network (WMN). Ç

detection. The experiments determine K = 5 for best classification and this reveals recognition rate of attacks as 75%. Results are compared with KNN classifier for anomaly detection without using a clustering algorithm. Keywords—wireless sensor networks WSN; intrusion detection ID; clustering protocols

addressed by stronger security protocols and these security protocols include Wired Equivalent Privacy (WEP), Wi-Fi Protected Access (WPA) and 802.11i (WPA2). In this paper, we investigate the performance of wireless local area networks (WLANs) and security protocols available for WLANs. These existing

Ensuring security and privacy in wireless body area networks (WBAN) are one of the challenging research issues in personalized healthcare. The image, signal, video, and textual information produced by the bio-sensors are vulnerable for unauthorized access and patients ’ privacy. In this paper, we

Digitising statistics handling through

necessarily representing the official policies or endorsements, either express or implied, of ARO,

. Packet loss, jitter and changing bandwidth availability describe the challenges that have to be handled by the system, since the Internet is a best effort network and does not guarantee quality of service. To lower bit-rates audio and video data are usually compressed in formats like MPEG-4. The high

on Programmable Chip (SoPC) implementation of Remote Patient Monitoring System (RPM) with Ultra Lightweight algorithms for security issues. Humming Bird 2 (HB-2), PRESENT and HIGHT algorithms were implemented since the wearable medical devices require fewer areas to achieve portability. The comparison results