Browsing Computer Science by Author "(ORCID 0000-0001-8806-4508 & YÖK ID 41438) Şensoy, Murat"
Now showing items 21-40 of 44
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On context-aware DDoS attacks using deep generative networks
Gürsun, Gonca; Şensoy, Murat; Kandemir, Melih (IEEE, 2018-10)Distributed Denial of Service (DDoS) attacks continue to be one of the most severe threats in the Internet. The intrinsic challenge in preventing DDoS attacks is to distinguish them from legitimate flash crowds since two ... -
Partial observable update for subjective logic and its application for trust estimation
Kaplan, L.; Şensoy, Murat; Chakraborty, S.; de Mel, G. (Elsevier, 2015)Subjective Logic (SL) is a type of probabilistic logic, which is suitable for reasoning about situations with uncertainty and incomplete knowledge. In recent years, SL has drawn a significant amount of attention from the ... -
Policy conflict resolution in IoT via planning
Göynügür, Emre; Bernardini, S.; Mel, G. de; Talamadupula, K.; Şensoy, Murat (Advances in Artificial Intelligence, 2017)With the explosion of connected devices to automate tasks, manually governing interactions among such devices—and associated services—has become an impossible task. This is because devices have their own obligations and ... -
Preface
Dignum, V.; Noriega, P.; Şensoy, Murat; Sichman, J. S. (Springer International Publishing, 2016)The pervasiveness of open systems raises a range of challenges and opportunities for research and technological development in the area of autonomous agents and multi-agent systems. Open systems comprise loosely coupled ... -
Privacy enforcement through policy extension
Arunkumar, S.; Srivatsa, M.; Soyluoglu, Berker; Şensoy, Murat; Cerutti, F. (IEEE, 2016)Successful coalition operations require contributions from the coalition partners which might have hidden goals and desiderata in addition to the shared coalition goals. Therefore, there is an inevitable risk-utility ... -
Probabilistic logic programming with beta-distributed random variables
Cerutti, F.; Kaplan, L.; Kimmig, A.; Şensoy, Murat (Association for the Advancement of Artificial Intelligence, 2019-07-17)We enable aProbLog-a probabilistic logical programming approach-to reason in presence of uncertain probabilities represented as Beta-distributed random variables. We achieve the same performance of state-of-the-art algorithms ... -
Reasoning about uncertain information and conflict resolution through trust revision
Şensoy, Murat; Fokoue, A.; Pan, J. Z.; Norman, T. J.; Tang, Y.; Oren, N.; Sycara, K. (International Foundation for Autonomous Agents and Multiagent Systems, 2013)In information driven MAS, information consumers collect information about their environment from various sources such as sensors. However, there is no guarantee that a source will provide the requested information truthfully ... -
Reasoning under uncertainty: variations of subjective logic deduction
Kaplan, L. M.; Şensoy, Murat; Tang, Y.; Chakraborty, S.; Bisdikian, C.; de Mel, G. (IEEE, 2013)This work develops alternatives to the classical subjective logic deduction operator. Given antecedent and consequent propositions, the new operators form opinions of the consequent that match the variance of the consequent ... -
Reasoning with uncertain information and trust
Şensoy, Murat; Mel, G. de; Fokoue, A.; Norman, T. J.; Pan, J. Z.; Tang, Y.; Oren, N.; Sycara, K.; Kaplan, L.; Pham, T. (SPIE, 2013)A limitation of standard Description Logics is its inability to reason with uncertain and vague knowledge. Although probabilistic and fuzzy extensions of DLs exist, which provide an explicit representation of uncertainty, ... -
Reputation mechanism for e-commerce in virtual reality environments
Fang, H.; Zhang, J.; Şensoy, Murat; Magnenat-Thalmann, N. (Elsevier, 2014)The interest in 3D technology and virtual reality (VR) is growing both from academia and industry, promoting the quick development of virtual marketplaces (VMs) (i.e. e-commerce systems in VR environments). VMs have inherited ... -
Semantic reasoning with uncertain information from unreliable sources
Şensoy, Murat; Kaplan, L.; de Mel, G. (Springer International Publishing, 2016)Intelligent software agents may significantly benefit from semantic reasoning. However, existing semantic reasoners are based on Description Logics, which cannot handle vague, incomplete, and unreliable knowledge. In this ... -
SHACL constraints with inference rules
Pareti, P.; Konstantinidis, G.; Norman, T. J.; Şensoy, Murat (Springer Nature, 2019)The Shapes Constraint Language (SHACL) has been recently introduced as a W3C recommendation to define constraints that can be validated against RDF graphs. Interactions of SHACL with other Semantic Web technologies, such ... -
SOBE: Source behavior estimation for subjective opinions In multiagent systems
Şensoy, Murat; Kaplan, L.; Mel, G. de; Gunes, Taha Doğan (International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2016)In cooperative or hostile environments, agents communicate their subjective opinions about various phenomenon. However, sources of these opinions may not always be competent and honest but more likely erroneous or even ... -
Source behavior discovery for fusion of subjective opinions
Şensoy, Murat; Kaplan, L.; Mel, G. de; Gunes, Taha (IEEE, 2016)Information is at the center of decision making in many systems and use-cases. In cooperative or hostile environments, agents communicate their subjective opinions about various phenomenon. However, sources of these opinions ... -
Stage: stereotypical trust assessment through graph extraction
Şensoy, Murat; Yilmaz, B.; Norman, T. J. (Wiley, 2016-02)Bootstrapping trust assessment where there is little or no evidence regarding a subject is a significant challenge for existing trust and reputation systems. When direct or indirect evidence is absent, existing approaches ... -
Strategies for truth discovery under resource constraints
Etuk, A.; Norman, T. J.; Oren, N.; Şensoy, Murat (ACM, 2015)We present a decision-theoretic approach for sampling information sources in resource-constrained environments, where there is uncertainty regarding source trustworthiness. We exploit diversity among sources to stratify ... -
Subjective bayesian networks and human-in-the-loop situational understanding
Braines, D.; Thomas, A.; Kaplan, L.; Şensoy, Murat; Bakdash, J. Z.; Ivanovska, M.; Preece, A.; Cerutti, F. (Springer, 2018-03-21)In this paper we present a methodology to exploit human-machine coalitions for situational understanding. Situational understanding refers to the ability to relate relevant information and form logical conclusions, as well ... -
TIDY: A trust-based approach to information fusion through diversity
Etuk, A.; Norman, T. J.; Şensoy, Murat; Bisdikian, C.; Srivatsa, M. (IEEE, 2013)Trust and reputation are significant components in open dynamic systems for making informed and reliable decisions. State-of-the-art information fusion models that exploit these mechanisms generally rely on reports from ... -
Tractable policy management framework for IoT
Goynugur, Emre; De Mel, G.; Şensoy, Murat; Calo, S. (SPIE, 2017)Due to the advancement in the technology, hype of connected devices (hence forth referred to as IoT) in support of automating the functionality of many domains, be it intelligent manufacturing or smart homes, have become ... -
TRIBE: Trust revision for information based on evidence
Şensoy, Murat; de Mel, G.; Kaplan, L.; Pham, T.; Norman, T. J. (IEEE, 2013)In recent years, the number of information sources available to support decision-making has increased dramatically. However, more information sources do not always mean higher precision in the fused information. This is ...
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