The 15thIEEE International Conference on Security of Information and Networks (SIN 2022) was held in Sousse, Tunisia and mutually organized by University of Sfax in Tunisia and Hasan Kalyoncu University in Turkey.

Ontology-

[Abstract Not Available]

Abstract Health 3.0 is a health‐related extension of the Web 3.0 concept. It is based on the semantic Web which provides for semantically organizing electronic health records of individuals. Health 3.0 is rapidly gaining ground as a new research topic in many academic and industrial disciplines. Due to the recent rapid spread of wearable sensors and smart devices with access to social media, migrating health services from the traditional centre‐based health system to personal health care is inevitable. In this current era of greater personalization, treating patients' health problems according to their profile and medical data gathered is possible using the latest information technologies. Consequently, personalized health recommender systems have gained importance. Empowering the utility of advanced Web technology in personalized health systems is still challenging due to pressing issues, such as lack of low cost and accurate smart medical sensors and wearable devices, existing investment in legacy Web system architecture in health sector, heterogeneity of medical data gathered by myriad health care institutions and isolated health services, and interoperability issues as well as multi‐dimensionality of medical data. By tracing recent developments, this paper offers a systematic review through recent research on semantic Web‐enabled personalized health systems, namely, semanticized personalized health recommender systems with the key enabling technologies, major applications, and successful case studies. Critical questions derived from the research studies were discussed, and main directions of open issues were identified leading to recommendations for future study in the field of personalized health recommender systems.

Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.

Obesity is a public health problem that has become widespread worldwide. Obesity may increase the risk for many health problems such as early puberty, Type 2 diabetes, certain types of cancer, high blood pressure, heart diseases, and sleep apnea. The detection of obesity in children and adolescents at early stages is important and it is crucial to start individual based treatments. Due to the widespread use of smart mobile devices among family members and increasing number of m-Health applications to fight against obesity as well as other diseases, m-Health applications can be a good choice for early detection of obesity in childhood and adolescence stages. Recently, many studies about mobile-based obesity tracking system that mostly for adults have been done. This research study especially emphases obesity management in childhood and adolescence stages with the contribution of Semantic Web technology. Therefore, the system is an ontology-based obesity tracking system for children and adolescents which has its own Obesity Tracking Ontology and medical semantic rule knowledge base with an inference engine.

This article proposes an Intelligent Tracking System for Acute Respiratory Tract Infection (TrackARTI) via a smart mobile for monitoring disease term of 0-6 age group child patients remotely (e.g. home, clinics). It is possible to maximize the quality of life of the child patients and decrease parental anxiety by keeping the child under control during monitoring stage and achieve a proper distant diagnose by the patient's clinician. This is possible with the designs of intelligent M-Health systems that can be used for diagnosing and monitoring the child patients away from hospitals by presenting the instant medical data to their registered doctors. Intelligent M-Health systems require strong knowledge management technology and ease of extension to provide information from additional medical tools. With the contribution of intelligent M-Health systems, it is possible to infer new facts from the certain gathered medical data during examination from child patients. This article mentions an intelligent and easy medical data gathering system that can be used by pediatricians or parents any time. In addition, the system has its own inferencing mechanism that involves two main steps, inferencing on image processing and Semantic Web rule knowledge base.

[Abstract Not Available]

In this talk I'll bring forward what is lacking in the interfaces of ontology and security. I shall especially take up haves and have-nots regarding the interplay of two fields, then, drive to conclude that not only there is need for security ontology but standardization should be aimed at.

Children with pervasive developmental disorders have special needs so they should be supported with special education programs. These programs are planned according to the type and degree of the disorder, age, characteristics, and needs of the children. Families prefer Internet to search resources about related educational methods (and associated activity/game) and materials. However, syntactic search in today's Internet is insufficient because of its static base and the search results are not sufficient enough to offer desired relevant results corresponding to a child's needs. With the help of Semantic Web-based agents an intelligent system able to identify the suitable educational methods and material, will contribute to the development of children with disorders, and support education specialists in this process. In addition it will be extremely useful for the families of these children in need of assisting and monitoring their child's development. In this article, an Educational Activity Finder (EAF) is being proposed. The architecture of EAF is structured after semantic Web technology so that it can find and propose semantically relevant suitable educational methods (i.e., activities to carry out) and material for use by children with disorders. The knowledge base of EAF keeps educational methods using the OWL language. All related concepts, attributes, and relations between these concepts and features about pervasive developmental disorders are defined through ontology. EAF is structured to recognize a pervasive developmental disorder, sort out symptoms and anomalies, suggest activities, compile performance scores, and decide on new activity based on user preferences by utilizing the semantic descriptions of available methods and activities. Strength of EAF is demonstrated through sample scenarios. EAF may be used by parents, pre-school educators, primary schools, special educational institutions and experts working for these institutions, university students studying in related fields, and individuals interested in pervasive developmental disorders.

The Advanced Encryption Standard has been playing a prominent role in embedded systems security for a decade after being announced by the National Institute of Standards and Technology (NIST). However, vulnerabilities have emerged, especially timing attacks, that challenges its security. This paper demonstrates the introduction of a unique diffusion and confusion scheme in Rijndael by incorporating ASCII codes manipulations using playfair ciphering into the algorithm; it is not dependent on the key and input thereby making it a constant time module in AES algorithm. The concept counters possible leakages from the S-box lookups; intermediary operations (SubstituteByte, ShiftRows, MixColumns, AddRoundKey) of the AES are still applicable but it becomes impossible for cryptanalysis discovery of enciphering method and ciphertext bits. Success of cracking efforts will be beyond human patience as it avoids statistical precision, thereby curbing timing attacks.

ParseKey+ is an approach to a new highly secure and safe authentication service. The scheme provides secure authentication process for both server and client sides. It employs hash to hide the encrypted key in a key file retrievable only by the other side knowing the indices and lengths of the sub-keys hidden inside ParseKey+ file. The ParseKey+ file itself is also encrypted by the password of the other party in authentication service using a symmetric encryption method. We wish to implement the ParseKey+ authentication system with limited resources on AVR microcontrollers. More sophisticated versions of these families of microcontrollers are widely used in PDAs, new generation of mobile phones and various embedded devices. Implementation of ParseKey+ allows securing Internet communication and transactions on above-mentioned devices in addition to providing a highly secure mechanism for implementing very low-cost hardware USB keys for online banking applications.

SCI-Expanded | YÖK-Özgeçmiş

Currently RFID authentication systems rely only on matching tag ID with the one kept in database. Additionally, an alphanumerical password might be matched as extra security. However, tag ID and information inside can be compromised. Therefore, a more secure scheme is required in order to enhance safety of access control through RFID tags in particularly highly secure environments such as secure virtual meetings or authentication and access control to access high security locals. We wish to present attendance control system which is more like access control in general as an application of our novel security enhancement on RFID based access control systems. The security enhancement utilizes partial ParseKey+ multi-way authentication scheme. ParseKey+ scatters randomly divided sub-keys into uniformly distributed noise. Generated file is encrypted using AES256 and then it is written into RFID device. Each successful login changes the key and its trace kept in DB in addition to updating the device for future login.

Traditional Websites no longer meet the needs of todaypsilas software agents because of their unstructured nature in terms of the semantics they convey. One of the primary objectives of semantic Web is to enable software agents infer facts and knowledge out of different Websites. The primary aim of this project is to develop an application to manipulate OWL files, browse ontologies and enable software agents infer information semantically. Needless to say such inference is not feasible in current conventional applications. We have considered the Conference Ontology, extracted from the Ontology Repository of the University of Manchester as our sample ontology. From architectural point of view, we used a three-layer architecture. Due to the similarity of current Web applications with the architecture we used, we were able to have an actual comparison made between the two approaches.

This article presents semantic-based composition of processes of Semantic Web Services using predetermined semantic descriptions of the services. Currently most proposed techniques are syntactically, rather than semantically, oriented. Our proposed method involves a semantic-based composition agent which is called Semantic Composition Agent (SCA). The novel design of SCA applies two different well-known approaches, namely Process Algebra and Armstrong Axioms, in its two major components (planner and inference engine respectively) of the process composition framework. In order to demonstrate its applicability, a prototype of SCA was implemented and tested against a number of Web services composition cases.

In this paper, a microcontroller-based Additive White Gaussian Noise Generator (AWGNG) for security enhancement of embedded real-time web services running on embedded boards is presented. The scheme utilizes combination of Windows Embedded Standard based Web Service on Vortex86 based embedded system connected to Atmega128 microcontroller generating Additive White Gaussian Noise stream. The real time generated stream can be used as seed for random number generators in many security algorithms. Such algorithms benefit from independently generated random numbers.

This research presents an enhancement in the ParseKey+ authentication scheme presented in an earlier research. Basically, ParseKey+ relies on scattering sub-keys in a block of uniformly created random noise. The sequence of noise is created using the same hash function used to create the sub-key itself. Using timestamp as seed does not help in countering replay attack in one-way encryption functions as it cannot be discovered to be compared in sequence. However, its imperfect usage causes discovering the sequence of generated random noise so that sub-keys are distinguishable. We require a pure uniform random noise to be used as seed of hash function. In this respect, Additive White Gaussian Noise (AWGN) is used to provide sequence of seeds for hash function in generating ParseKey+ noise file. Similarly, such random noise can be applied in all security schemes relying on one-way encryption algorithms or in those which need instant update of the key without having any dependency in key sequence.

This paper presents a design ontology that deals with the hypermedia presentation aspects involved in the development of a Semantic Web Information System. The ontology is driven by two main design models: the Conceptual and the Application models. The application model extends the conceptual model with presenting data and inferring. During the presentation generation the input data goes through a sequence of transformation steps. Using Semantic Web technology we chose to represent the models and their instances in OWL DL. Protégé 3.2[16] and some of its plug-ins are used to develop this experiment. In this study we’ll implemented an Ontology Based Information System in web environment and query this ontology through web interface.

Distributed intelligent software agents (DISA) are software agents that help out users and act on their behalf. Such agents might be robots or virtual software systems. They are able to intelligent if they interact with their environment in an approach that would generally be observed as intelligent if that communication were carried out by a human being. As a result, gathering information from Web sources via distributed intelligent software agents in enterprise architecture can be implemented platform independent, reusable, and would be better modeled in n-tier or enterprise-tier architecture. The purpose of this paper is to develop a novel distributed intelligent software agent architecture capable of manually and automatically locating and extracting user specified data from the Web, and to dynamically populate semantic databases with the data for later access and retrieval. Implementation of this project not only enables the software to access the semantic information which has been created by a typical Web source, but also it is equipped producing a meta database for executing the queries in semantic database. On the other hand, agents of this system have been enabled for the creation of customized knowledge-based ontology files over enterprise model for future usage of users.

Web mining treats the World Wide Web as the ultimate data source. This area of research is more interesting than data mining involving extracting data from in- house corporate databases or data warehouses. Gathering information from Web sources via distributed intelligent software agents in enterprise architecture can be implemented securely, platform independent, reusable, and would be better modeled in n-tier or enterprise-tier architecture. The purpose of this paper is to develop a novel distributed software agent architecture capable of automatically locating and extracting user specified data from the web, and to dynamically populate semantic databases with the data for later access and retrieval. Implementation of this project not only enables the software to access the semantic information which has been created by a typical Web source, but also it is capable of producing a meta database for executing the queries in semantic database. On the other hand, it is too difficult for the current users to interact with distributed intelligent agents over n-tier architecture on the Internet and gather information for Web mining issues which have been produced by those agents.

UDDI and WSDL do not provide sufficient grounds to find appropriate web services at the required accuracy and quality of service (QoS) level by the consumer. This article discusses a Semantic Search Agent (SSA) approach that discovers appropriate web services according to semantic description. The descriptions comprise QoS requirements and input/output information of fetched Web Services according to consumer requirements. This study considers a broker or dispatcher model which consists of a QoS broker-based scheme by a multi-class queuing model. We depicted a new system that is an extension of the SSA to find appropriate web services according to consumer request based on matching of input/output and QoS information of web services; then compose them according to consumer requirements through semantic web and ontology.

Presents the introductory welcome message from the conference proceedings.

Provides a listing of current committee members and society officers.

Semantic Web technology is based on the Open World Assumption (OWA) where absence of entities being searched does not entail negative response rather simply treated as facts "not available at the moment." On the one hand that indicates anticipation of future enhancements of the fact store while in other cases it is not preferred in situations where an authoritative answer is needed. Closed World Assumption (CWA) on the other hand returns definitive yes/no answers even in situations where future enhancements are inevitable. We wish to distinguish among the situations where one or the other assumption would be advantageous to use. Such distinction could cater for faster services discovery and more wholesome services orchestration. We apply this approach to discovering semantic Web services being offered by autonomous semantic robots out in the field and for building the unified worldview common to all. Consequently, the OWA-based paradigm alone is not suitable for most robotics platforms where cardinality and negation is not sound as well as in CWA. Therefore, we argue and display that a strategy to draw and utilize benefits of both world assumptions is beneficial.

The development of semantic-based multiagent information systems is a promising field hinting at a new dimension of capability in interaction of semantic web technologies and agent systems. ESAS Workshops series aims at garnering the synergy of both worlds by taking up the common research issue. Topics of interest range from both theory and practice of agent systems, to semantic web technologies and their interaction, say in software agents, autonomous semantic agents, context-aware intelligent agents, agents as semantic web services, and their multi-agent extensions.

In this article we focus on the essential requirements of a robot for semantically dealing with cooperative problem solving in a natural setting such as discovery of exit from a labyrinth. A very common application area for such robots are used as set of multi-agents at junctions in Traffic Management and Information Systems (TMIS) to manage the traffic and interact with ambulance or fire fighters to traverse the shortest possible path [18]. In order to present the above mentioned goal, a new modular architecture for design and implementation of cooperative labyrinth discovery robots (CLDRs) is presented. The labyrinth data structure (Maze Set) is represented in notation 3 format useful for semantic logic data processing purposes. This facilitates semantic web services on each CLDR (agent). Each agent is an autonomous system which acts based on its sensors and information retrieved from other agents. Our aim is creating robotic agents based on semantic web services and implementing autonomous semantic agents (ASAs). Numerous domains are likely application areas for multiple ASAs (MASAs), such as systems for distributed control, decision support, and financial market projection. Initial application area will be "Cooperative Labyrinth Discovery" where MASA robots cooperatively inspect an uncharted maze to discover its exits. Hence, context awareness, semantic understanding, near area communication, and friend/foe distinction make up upper value sets loaded upon "automaton" nature of a robotic ASA. We are aiming at effecting coordination and cooperation among MASAs towards succeeding a shared goal through semantic web theory and techniques.

This paper shows a searching mechanism to discover Semantic Web Services satisfying client requirements. The increase in web services and lack of semantic base in search mechanisms of UDDI make it difficult for clients to find a required web service. We developed a system which uses a Semantic Search Agent (SSA) to discover required web services from web and selects them according to the client requirements then presents them as a result page. The system uses Ontology Web Language for services (OWL-S), which allows semantic description of web services and hence, the Semantic Search Agent is able to understand predefined concepts of Semantic Web Services, extract necessary information and decide on the requirement of a service for a client. The system combines complimentary aspects of two research topics (Smart Web Query Engine and Matchmaking Algorithm of OWL-S/UDDI Matchmaker) to facilitate the provision of web services to a client.

Distributed processing environments such as that of a traffic management network system (TMS) can be implemented easier, faster, and secure and perform better through use of autonomous semantic agents (ASAs). For an ASA can then be realized as a semantic Web service, a whole TMS is easily implemented through a collection of semantic Web services agents arranged according to the topology of the traffic network. It would suffice to develop a generic ASA Web service class, instantiate individual ASAs from it in numbers as required one per junction, and supply specific intersection data in semantically-enriched representation to each. Should advanced information support and control services be required, one of the ASAs may be configured slightly differently in that it acts as the operational overseer and repository for aggregated data and ASA class code. Once created, this facilitator ASA knows the topology of the whole traffic network, identifies each intersection (and its associated ASA), can interrogate and instruct individual ASAs, aspects of ASA design, operation, and application development using ASAs are taken into consideration. Simulations show high performance and the benefits of load distribution using ASAs.