Agent-based Internet of Things: State-of-the-art and research challenges

2020 ◽  
Vol 102 ◽  
pp. 1038-1053 ◽  
Author(s):  
Claudio Savaglio ◽  
Maria Ganzha ◽  
Marcin Paprzycki ◽  
Costin Bădică ◽  
Mirjana Ivanović ◽  
...  
Keyword(s):  
Internet Of Things ◽  
State Of The Art ◽  
Agent Based ◽  
Research Challenges

Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges

2016 ◽  
Vol 23 (5) ◽  
pp. 10-16 ◽  
Author(s):  
Ejaz Ahmed ◽  
Ibrar Yaqoob ◽  
Abdullah Gani ◽  
Muhammad Imran ◽  
Mohsen Guizani
Keyword(s):  
Internet Of Things ◽  
State Of The Art ◽  
Smart Environments ◽  
Research Challenges ◽  
Open Research

scholarly journals Trust and Reputation in the Internet of Things: State-of-the-Art and Research Challenges

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 60117-60125 ◽  
Author(s):  
Giancarlo Fortino ◽  
Lidia Fotia ◽  
Fabrizio Messina ◽  
Domenico Rosaci ◽  
Giuseppe M. L. Sarne
Keyword(s):  
Internet Of Things ◽  
State Of The Art ◽  
The Internet ◽  
Trust And Reputation ◽  
Research Challenges ◽  
The Internet Of Things

Browser Security Attacks and Detection Techniques: A Case of Tabnabbing

2020 ◽  
Vol 8 (1) ◽  
pp. 33-41
Author(s):  
Dr. S. Sarika ◽  
Keyword(s):  
Credit Card ◽  
State Of The Art ◽  
Experimental Results ◽  
Detection Technique ◽  
Security Attacks ◽  
Agent Based ◽  
Detection Techniques ◽  
Browser Security ◽  
Cyber Threats ◽  
Multi Agent

Phishing is a malicious and deliberate act of sending counterfeit messages or mimicking a webpage. The goal is either to steal sensitive credentials like login information and credit card details or to install malware on a victim’s machine. Browser-based cyber threats have become one of the biggest concerns in networked architectures. The most prolific form of browser attack is tabnabbing which happens in inactive browser tabs. In a tabnabbing attack, a fake page disguises itself as a genuine page to steal data. This paper presents a multi agent based tabnabbing detection technique. The method detects heuristic changes in a webpage when a tabnabbing attack happens and give a warning to the user. Experimental results show that the method performs better when compared with state of the art tabnabbing detection techniques.

Ontologies for information entities: State of the art and open challenges

2021 ◽  
Vol 16 (2) ◽  
pp. 111-135
Author(s):  
Emilio M. Sanfilippo
Keyword(s):  
State Of The Art ◽  
The State ◽  
Literary Studies ◽  
Health Records ◽  
Research Challenges ◽  
Open Research ◽  
Applied Ontology ◽  
Nature Of Information ◽  
Technical Specifications

Information entities are used in ontologies to represent engineering technical specifications, health records, pictures or librarian data about, e.g., narrative fictions, among others. The literature in applied ontology lacks a comparison of the state of the art, and foundational questions on the nature of information entities remain open for research. The purpose of the paper is twofold. First, to compare existing ontologies with both each other and theories proposed in philosophy, semiotics, librarianship, and literary studies in order to understand how the ontologies conceive and model information entities. Second, to discuss some open research challenges that can lead to principled approaches for the treatment of information entities, possibly by getting into account the variety of information entity types found in the literature.

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