Niemi, Valtteri

Wang, Honggang

Yan, Zheng

Yang, Laurence T.

IEEE Access

English

Helsingin yliopiston digitaalinen arkisto

SPECIAL SECTION ON EDITORIALDigital Object Identifier 10.1109/ACCESS.2018.2817858EDITORIALIEEE ACCESS SPECIAL SECTION EDITORIAL:TRUST MANAGEMENT IN PERVASIVE SOCIALNETWORKING (TruPSN)With the rapid growth of mobile computing and socialnetworking, social networks have extended their popular-ity from the Internet to mobile domain. Pervasive SocialNetworking (PSN) ensures social communications at anytime and in any place with a universal manner. It supportsonline and instant (i.e., pervasive) social activities based onheterogeneous networks, e.g., the Internet, mobile cellularnetworks or self-organized networks or other networkingtechnologies. It is treated as one of the killer applicationsin the next generation mobile networks and wireless systems(i.e., 5G). There are various applications over PSN. Typicalexamples include social chatting, gaming, rescuing, recom-mending and information sharing. Because group mobility isvery common in modern life, PSN has become valuable formobile users, especially when they are familiar strangers andoften appear in the same vicinity. PSN greatly extends ourexperiences of social communications.There are quite a number of vivid research activities relatedto PSN in both academia and industry. However, trust andreputation management has not been extensively consideredin existing projects, although trust plays an important rolein PSN for reciprocal activities among strangers. It helpspeople overcome uncertainty, makes wise decisions, avoidsunnecessary risks, and engages in trust-related social behav-iors. In the literature, trust and reputation mechanisms havebeen widely studied in various fields. However, traditionalonline social networking systems (e.g., Facebook) and cur-rent PSN research have not fully taken user trust into con-sideration. They have not comprehensively investigated howto manage trust in PSN in a holistic manner. A number ofissues, such as trustworthy identification and authentication,PSN data communication security, user privacy preservation,trust relationship evaluation, evolution and enhancement,unwanted information control, privacy-preserving social datasearch and mining, user-device trust interaction, etc. havenot been extensively studied. Pervasive social networkingintroduces additional challenges to track and resist malicioussocial behaviors in practice, especially when user privacy andPSN security should be seriously considered and stringentlysupported.This Special Section aims at presenting advanced academicand industrial research results related to trust managementin PSN.We finally selected 11 articles after a rigorous reviewprocess for publication in this Special Section. These articlescover wide topics such as malicious social account detection,PSN data access control and protection, privacy preservation,trust evaluation and recommendation, social opinion min-ing, and so on. In what follows, we briefly introduce eacharticle.In the article ‘‘ProGuard: Detecting malicious accounts insocial-network-based online promotions,’’ Zhou et al. pro-posed a system named ProGuard to detect malicious accountsin a variety of business activities based on online social net-works. It achieves its detection goal by considering accountgeneral behaviors, recharging patterns, and currency usage.The experiments based on real world data collected fromTencent QQ demonstrated the effectiveness of ProGuard.In the article ‘‘Secure pervasive social communicationsbased on trust in a distributed way’’, Huang et al. proposedtwo schemes to secure communication data in PSN purelybased on local trust evaluated by PSN nodes in a distributedmanner. They aimed to overcome the drawbacks of the dataaccess control solutions based on a centralized server in orderto support crucial PSN activities and enhance user privacy.Each node can control its data based on its trust in other nodesby applying Attribute-Based Encryption (ABE).In the article ‘‘A secure system for pervasive socialnetwork-based healthcare’’, Zhang et al. proposed twoschemes to securely share health data with other nodes inPSN. The first one is an improved version of the IEEE802.15.6 display authenticated association for mobile devicesand resource-limited sensor nodes. The second one usesblockchain technique to share health data among PSN nodes.In order to effectively establish key agreement amongvehicles, Li et al. proposed an efficient physical layer keyextraction method by utilizing received signal strength togenerate secret keys in the article, ‘‘efficient and consistentkey extraction based on received signal strength for vehicularad hoc networks’’.Feng et al. proposed a scheme for anonymous authentica-tion on trust in PSN based on group signature in the article‘‘Anonymous authentication on trust in pervasive social net-working based on group signature,’’ for the purpose of secureauthentication with anonymity and conditional traceability noVOLUME 6, 20182169-3536  2018 IEEE. Translations and content mining are permitted for academic research only.Personal use is also permitted, but republication/redistribution requires IEEE permission.See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.16851SPECIAL SECTION ON TRUST MANAGEMENT IN PERVASIVE SOCIAL NETWORKING (TruPSN)matter whether a trusted authority is available or not. Forimproving the efficiency of authenticity for a large numberof messages, batch signature verification was further utilizedto support scalability.Shen et al. proposed a hierarchical evaluation system tosupport secure and trustworthy PSN in the article ‘‘Hierar-chical trust level evaluation for pervasive social networking’’.The system solves the problem of trust evaluation in PSN andguarantees the secure communications among trusted nodes.Li et al. proposed a recommendation model namedRM-UI in the article ‘‘A similarity scenario-based recommen-dation model with small disturbances for unknown items insocial networks’’ for overcoming two issues: ‘‘cold start’’ and‘‘excessively mature recommendation’’. The authors derivedthe recommendation values of items from the probabilitiescalculated by a similar mature recommendation system dur-ing system initiation for solving the ‘‘cold start’’ issue. Forovercoming ‘‘excessively mature recommendation’’, RM-UIalso recommends items with low recommendation probabili-ties to some extent to enable some items that can bringwelfareto the recommendation system.D2D network acts as a practical communication platformfor PSN. In order to ensure trustworthy cooperation amongD2D communication users, Yan et al. proposed a Trust-oriented Partner Selection Mechanism (TPSM) in the arti-cle ‘‘Trust-oriented partner selection in D2D cooperativecommunications’’ to avoid choosing the users with non-cooperative behaviors. Multi-dimensional trust relationshipsbetween sending users and cooperative users are evaluated byconsidering cognition trust, emotion trust, and behavior trust.The users are classified into reliable users, observed users,and unreliable users. With the above trust evaluation and userclassification, an optimal partner selection mechanism wasfurther proposed to support different scenarios.For providing uniform trust management in PSN andreducing computational cost at the same time, Sharma et al.presented a pervasive trust management framework that cangenerate trust values between the users with a low cost ofmonitoring in the article ‘‘computational offloading for effi-cient trust management in pervasive online social networksusing osmotic computing’’. The proposed approach uses aflexible mixture model and applies the concept of osmoticcomputing to perform computational offloading in order toreduce the number of computations and save computationaltime.In the article titled ‘‘Towards a trust prediction frameworkfor cloud services based on pso-driven neural network’’,Mao et al. introduced a hybrid prediction algorithm namedPSO-NN by using Particle Swarm Optimization (PSO) toenhance Neural network (NN) for predicting the trust ratesof cloud services in an accurate way by optimizing its initialsettings.Lv et al. studied opinioned posts in Sina Weibo in thearticle ‘‘Opinioned post detection in Sina Weibo’’ in orderto overcome two challenges: short text in Sina Weibo andthe absence of ground-truth data for training models. Theyproposed a weakly supervised framework named Graph-based Opinioned Post Detector (GOPD) to detect the opin-ioned posts by utilizing three types of user interactions:reposting, responding, and referring. An Opinioned Simi-larity Graph (OSG) is constructed to describe the opinionsimilarity between posts through classification.During the production of this Special Section, we expe-rienced many interesting and novel ideas and reviewed anumber of qualified research results. We would like tothank all authors and reviewers for their contributions to it.We believe trust management in PSN is a vivid and promisingresearch topic worth our further exploration and investiga-tion. We hope this Special Section is valuable for its read-ers and can benefit their future research and development.We will be very happy if further interests could be stimulatedby reading the various perspectives presented herein.ACKNOWLEDGMENTThis work was supported in part by the NSFC under Grant61672410 and Grant U1536202, in part by the NationalKey Foundational Research and Development on Networkand Space Security, China, under Grant 2016YFB0800704,in part by the Project Supported by the Natural ScienceBasic Research Plan in Shaanxi Province of China underGrant 2016ZDJC-06, in part by the 111 Project underGrant B08038 andGrant B16037, and in part by the Academyof Finland under Grant 308087.ZHENG YANSchool of Cyber EngineeringState Key Laboratory of Integrated Services NetworksXidian UniversityXi’an 710071, ChinaandDepartment of Communications and NetworkingAalto UniversityEspoo 02150, FinlandHONGGANG WANGDepartment of Electrical and Computer EngineeringUniversity of Massachusetts at DartmouthDartmouth, MA 02747-2300, USALAURENCE T. YANGSt. Francis Xavier UniversityAntigonish, NS B2G 2W5, CanadaVALTTERI NIEMIDepartment of Computer ScienceUniversity of HelsinkiFI 0014 Helsinki, Finland16852 VOLUME 6, 2018SPECIAL SECTION ON TRUST MANAGEMENT IN PERVASIVE SOCIAL NETWORKING (TruPSN)ZHENG YAN (M’06–SM’14) received the Ph.D. degree from the Helsinki University ofTechnology, Espoo, Finland. She is currently a Professor with Xidian University, Xi’an, China,a Visiting Professor with Aalto University, Finland, and a Research Fellow with the Academyof Finland. Her research interests include trust, security and privacy, social networking, cloudcomputing, networking systems, and data mining. She is a Steering, Organization, and Pro-gram Committee Member for over 70 international conferences. She led the organizationof the IEEE TrustCom/BigDataSE/ISPA-2015, IEEE CIT 2014, CSS 2014, IEEE CIT2017,ICA3PP2017, and NSS2017 international conferences. She is an Associate Editor of Informa-tion Sciences, Information Fusion, the IEEE INTERNET OF THINGS JOURNAL, the IEEE ACCESSJournal, JNCA, Soft Computing, Security and Communication Networks, and so on. She is aleading Guest Editor of over 20 reputable journals, including ACM TOMM, Future GenerationComputer Systems, the IEEE SYSTEMS JOURNAL, MONET, and so on.HONGGANG WANG received the Ph.D. degree in computer engineering from the Universityof Nebraska–Lincoln in 2009. He is currently an Associate Professor with the University ofMassachusetts (UMass) at Dartmouth, where he is the Faculty Member of the BiomedicalEngineering and Biotechnology Ph.D. Program, and where he has been a Faculty Member ofthe Data Science master’s Program since 2015. His research was supported by DoT, UMassPresident Office, and the UMass Healey Grant. His research interests include wireless health,body area networks, and big data in mHealth, cyber andmultimedia security, mobile multimediaand cloud, wireless networks, and cyber-physical system. He received the IEEE MultimediaCommunications Technical Committee Outstanding Leadership Award in 2015 and the IEEEHEALTHCOM 2015 Outstanding Service Award. He also received the UMass DartmouthSponsored Research Recognition Award in 2015 and the Scholar of The Year Award (onlyone per year) from UMass Dartmouth. He serves as the TPC Chair or Co-Chair for severalconferences, such as the TPC Chair for the 8th ICST/ACM International Conference on BodyArea Networks in 2013, a TPC Symposium Co-Chair for the IEEE Conference on Communications in 2015 (Mobile andWireless Networking symposium), the TPC Chair for the IEEE HEALTHCOM 2015, a TPC Co-Chair for the IEEE ISCC2015, and a TPC Track Co-Chair for the Cognitive, Cellular and Mobile Networks of the IEEE ICCCN 2014–2015. He alsoserves as a Steering Committee Co-Chair of the IEEE Conference on Connected Health: Applications, Systems and EngineeringTechnologies (CHASE) and a TPC Co-Chair of the IEEE CHASE 2016, which is a leading international conference in the fieldof connected health. He is the Secretary of the IEEE COMSOC e-Health Committee. He serves as an Associate Editor forthe IEEE TRANSACTION ON MULTIMEDIA and the IEEE TRANSACTIONS ON BIG DATA, an Associate Editor-in-Chief for the IEEEINTERNET OF THINGS JOURNAL, an Associate Technical Editor for IEEE Communication Magazine, and a Guest Editor for theIEEE IoT Journal special issue on IoT for Smart and Connected Health. His research was reported by media, such as USA ABC6 TV and Standard Times Newspaper.VOLUME 6, 2018 16853SPECIAL SECTION ON TRUST MANAGEMENT IN PERVASIVE SOCIAL NETWORKING (TruPSN)LAURENCE T. YANG received the B.E. degree in computer science and engineering fromTsinghua University, China, and the Ph.D. degree in computer science from the Universityof Victoria, Canada. He is currently a Professor with the School of Computer Science andTechnology, Huazhong University of Science and Technology, China, and the Departmentof Computer Science, St. Francis Xavier University, Canada. His research includes includeparallel and distributed computing, embedded and ubiquitous/pervasive computing, and bigdata. He has published around 260 peer-reviewed international journal papers in the above areasof which 45% are on top IEEE/ACM TRANSACTIONS and journals; others are mostly publishedat Elsevier, Springer, and Wiley. He has been involved actively in conferences and workshopsas a program/general/steering conference chair and a program committee member. He served asthe Vice-Chair of the IEEE Technical Committee of Supercomputing Applications from 2001 to2004, the Chair of the IEEE Technical Committee of Scalable Computing from 2008 to 2011,and the Chair of the IEEE Task force on Ubiquitous Computing and Intelligence from 2009 to2013. In 2014, he was the Vice-Chair of the IEEECanadaAtlantic Section, where he is currently the Chair. Hewas in the steeringcommittee of the IEEE/ACM Supercomputing conference series from 2008 to 2011, in the National Resource AllocationCommittee of Compute Canada from 2009 to 2013, and the Scientific Committee Chair of the Engineering, Mathematics andComputing Science of Compute Canada from 2012 to 2013. He has been acting as an author/co-author or an editor/co-editor ofover 25 books from well-known publishers. The bookMobile Intelligence (Wiley, 2010) received an Honorable Mention by theAmerican Publishers Awards for Professional and Scholarly Excellence. He received several best paper awards, including theIEEEBest andOutstanding Conference Awards, one Best Paper Nomination, the DistinguishedAchievement Award in 2005 and2011, and the Canada Foundation for Innovation Award in 2003. He is the editor-in-chief of several international journals. He isserving as an Editor for many top international journals, such as the IEEE SYSTEMS, Information Sciences (Elsevier), InformationFusion (Elsevier), Future Generation Computer Systems (Elsevier), and Big Data Research (Elsevier). He has been invited togive around 32 keynote talks at various international conferences and symposia.VALTTERI NIEMI is currently a Professor of computer science with the University of Helsinkiand leads the Secure Systems Research Group. He is also a Deputy Head of the Department ofComputer Science. He has been a Professor of mathematics with the University of Vaasa from1993 to 1997 and the University of Turku from 2012 to 2015. Between these two academicpositions, he served for 15 years in various roles at the Nokia Research Center and wasnominated as a Nokia Fellow in 2009. At Nokia, he was involved in wireless and mobilesecurity, including cryptological aspects and privacy-enhancing technologies. He participated inthe 3GPP SA3 (security) Standardization Group from its beginning, where he was the Chairmanof the group from 2003 to 2009. He has published over 70 scientific articles, and he is aco-author of four books and over 30 patent families.16854 VOLUME 6, 2018

IEEE Access Special Section Editorial : Trust Management in Pervasive Social Networking (TruPSN)

With the rapid growth of mobile computing and social networking, social networks have extended their popularity from the Internet to mobile domain. Pervasive Social Networking (PSN) ensures social communications at any time and in any place with a universal manner. It supports online and instant (i.e., pervasive) social activities based on heterogeneous networks, e.g., the Internet, mobile cellular networks or self-organized networks or other networking technologies. It is treated as one of the killer applications in the next generation mobile networks and wireless systems (i.e., 5G). There are various applications over PSN. Typical examples include social chatting, gaming, rescuing, recommending and information sharing. Because group mobility is very common in modern life, PSN has become valuable for mobile users, especially when they are familiar strangers and often appear in the same vicinity. PSN greatly extends our experiences of social communications.Non peer reviewe

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IEEE Access Special Section Editorial : Trust Management in Pervasive Social Networking (TruPSN)

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