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The Scribe
No full textThis is the October 4, 2016 edition of the Scribe. The front page features an article on the rising cost of tuition. Additional coverage includes an article urging students to get their flu shots, a review of Titus Cain restaurant in Bridgeport, sleep, and entertainment news
UB Knightlines Summer 2016
Get PDFThe UB Knightlines newsletter for summer of 2016. This issue contains articles discussing UB’s 106th commencement, profiles of recent graduates, a student organization and Sodexo collaborating to feed the hungry, UB almna winning National Teacher of the Year, amlunus Chris O’Neill being signed on by the Japanese tourist board, SASD students winning most awards at the Designs for Safety Competition, UB’s new in state tuition campaign, UB physician assistant students medical service trip to Guatemala, UB’s team winning the Connecticut Physician Assistant Medical Challenge Bowl and advancing to the National Medical Challenge Bowl, the Ernest C. Trefz School of Business new program in Analytics Intelligence, student Vaugn Smith’s work with the New Paradigm Theater, faculty news, alumni news, books published by alums and faculty, and other campus and sports news
Empirical Techniques To Detect Rogue Wireless Devices
No full textMedia Access Control (MAC) addresses in wireless networks can be trivially spoofed using off-the-shelf devices. We proposed a solution to detect MAC address spoofing in wireless networks using a hard-to-spoof measurement that is correlated to the location of the wireless device, namely the Received Signal Strength (RSS). We developed a passive solution that does not require modification for standards or protocols. The solution was tested in a live test-bed (i.e., a Wireless Local Area Network with the aid of two air monitors acting as sensors) and achieved 99.77%, 93.16%, and 88.38% accuracy when the attacker is 8–13 m, 4–8 m, and less than 4 m away from the victim device, respectively. We implemented three previous methods on the same test-bed and found that our solution outperforms existing solutions. Our solution is based on an ensemble method known as Random Forests. We also proposed an anomaly detection solution to deal with situations where it is impossible to cover the whole intended area. The solution is totally passive and unsupervised (using unlabeled data points) to build the profile of the legitimate device. It only requires the training of one location which is the location of the legitimate device (unlike the misuse detection solution that train and simulate the existing of the attacker in every possible spot in the network diameter). The solution was tested in the same test-bed and yield about 79% overall accuracy. We build a misuseWireless Local Area Network Intrusion Detection System (WIDS) and discover some important fields in WLAN MAC-layer frame to differentiate the attackers from the legitimate devices. We tested several machine learning algorithms and found some promising ones to improve the accuracy and computation time on a public dataset. The best performing algorithms that we found are Extra Trees, Random Forests, and Bagging. We then used a majority voting technique to vote on these algorithms. Bagging classifier and our customized voting technique have good results (about 96.25 % and 96.32 %respectively) when tested on all the features. We also used a data mining technique based on Extra Trees ensemble method to find the most important features on AWID public dataset. After selecting the most 20 important features, Extra Trees and our voting technique are the best performing classifiers in term of accuracy (96.31 % and 96.32 % respectively)
Deployment Environment for a Swarm of Heterogeneous Robots
No full textThe objective of this work is to develop a framework that can deploy and provide coordination between multiple heterogeneous agents when a swarm robotic system adopts a decentralized approach; each robot evaluates its relative rank among the other robots in terms of travel distance and cost to the goal. Accordingly, robots are allocated to the sub-tasks for which they have the highest rank (utility). This paper provides an analysis of existing swarm control environments and proposes a software environment that facilitates a rapid deployment of multiple robotic agents. The framework (UBSwarm) exploits our utility-based task allocation algorithm. UBSwarm configures these robots and assigns the group of robots a particular task from a set of available tasks. Two major tasks have been introduced that show the performance of a robotic group. This robotic group is composed of heterogeneous agents. In the results, a premature example that has prior knowledge about the experiment shows whether or not the robots are able to accomplish the task.https://doi.org/10.3390/robotics504002
Quantum mutual authentication scheme based on Bell state measurement
No full textAuthentication is one of the security services that ensures sufficient security of the system by identification and verification. Also, it assures the identity of the communicating party to be that the claimed one. To build a quantum channel between two unauthenticated to each other parties, first, a trusted authority is needed to establish a mutual authentication with each party. Using Bell measurement and entanglement swapping, we present a protocol that mutually authenticates the identity of the sender and the receiver, then constructs a quantum channel based on Bell basis. After, the sender and the receiver use the quantum channel to communicate using entanglement-assisted quantum communication protocols. Additionally, the protocol renews the shared secret key between the trusted authority and each user after each authentication process. The protocol provides the necessary authentication and key distribution to create a quantum channel between the sender and receiver
A New MAC Address Spoofing Detection Technique Based on Random Forests
No full textMedia access control (MAC) addresses in wireless networks can be trivially spoofed using off-the-shelf devices. The aim of this research is to detect MAC address spoofing in wireless networks using a hard-to-spoof measurement that is correlated to the location of the wireless device, namely the received signal strength (RSS). We developed a passive solution that does not require modification for standards or protocols. The solution was tested in a live test-bed (i.e., a wireless local area network with the aid of two air monitors acting as sensors) and achieved 99.77%, 93.16% and 88.38% accuracy when the attacker is 8–13 m, 4–8 m and less than 4 m away from the victim device, respectively. We implemented three previous methods on the same test-bed and found that our solution outperforms existing solutions. Our solution is based on an ensemble method known as random forests.https://doi.org/10.3390/s1603028
Breaking the Stereotype, But Not the Mold: A Gender Analysis of South Sudan's Peace Agreements
No full textJanaina Bordignon's poster discussing a gender analysis of South Sudan's peace agreements
An Optimized Hidden Node Detection Paradigm for Improving the Coverage and Network Efficiency in Wireless Multimedia Sensor Networks
No full textSuccessful transmission of online multimedia streams in wireless multimedia sensor networks (WMSNs) is a big challenge due to their limited bandwidth and power resources. The existing WSN protocols are not completely appropriate for multimedia communication. The effectiveness of WMSNs varies, and it depends on the correct location of its sensor nodes in the field. Thus, maximizing the multimedia coverage is the most important issue in the delivery of multimedia contents. The nodes in WMSNs are either static or mobile. Thus, the node connections change continuously due to the mobility in wireless multimedia communication that causes an additional energy consumption, and synchronization loss between neighboring nodes. In this paper, we introduce an Optimized Hidden Node Detection (OHND) paradigm. The OHND consists of three phases: hidden node detection, message exchange, and location detection. These three phases aim to maximize the multimedia node coverage, and improve energy efficiency, hidden node detection capacity, and packet delivery ratio. OHND helps multimedia sensor nodes to compute the directional coverage. Furthermore, an OHND is used to maintain a continuous node– continuous neighbor discovery process in order to handle the mobility of the nodes. We implement our proposed algorithms by using a network simulator (NS2). The simulation results demonstrate that nodes are capable of maintaining direct coverage and detecting hidden nodes in order to maximize coverage and multimedia node mobility. To evaluate the performance of our proposed algorithms, we compared our results with other known approaches.http://dx.doi.org/10.3390/s1609143