Architecture for security monitoring in IoT environments

Stergiou, Christos; Psannis, Kostas E.; Plageras, Andreas P.; Kokkonis, George; Ishibashi, Yutaka

doi:10.1109/isie.2017.8001447

Cited by 31 publications

(13 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Connected things produce large volumes of data, which need to be securely transmitted and protected from cyber-criminals. The cyber-criminals can get the access to the "brain" of the whole IoT system and take control of it [17]. To stop such issue, it makes sense to log and analyze the commands sent by control applications to things, monitor the actions of users and store all these data in the cloud and it's possible to cognize the patterns of suspicious behavior, store these samples and compare them with the logs generated by an IoT systems to stop potential penetrations and reduce their influence on an IoT system.…”

Section: 8security Monitoringmentioning

confidence: 99%

“…It is answerable only for allocation of resources to executing applications. The scheduling in [17] Yarn is a pluggable framework to allocate cluster resources in a lot of the user environment. Be conditional on the use case and user requirement, administrators may prefer either a simple FIFO scheduler, capacity scheduler, or fair scheduler [16].…”

Section: Applications Of Internet Of Things (Iot)mentioning

confidence: 99%

See 1 more Smart Citation

An Extended Review on Internet of Things (IoT) and its Promising Applications

Perwej¹,

Ahmed²,

Kerim³

et al. 2019

CAE

View full text Add to dashboard Cite

At present IoT is immensely a descriptive term of a vision that everything should be connected to the internet. IoT applications have been widely used in several fields of social living such as healthcare and social products, industrial automation and energy. In this scenario, there are more than 14 billion interconnected digital and electronic devices in operation worldwide, the equivalent of almost two devices for every human being on earth. The IoT connects different nonliving objects through the internet and enables them to share information with their community network to automate processes for human beings and makes their lives convenient. Subsequently, objects are being amalgamated with internet connectivity and powerful data analysis capabilities that promise to change the way we work and live. The Internet is a worldwide system of interconnected computer networks that use the standard Internet protocol suite (TCP/IP) to serve billions of users globally. The most vital characteristics of IoT include connectivity, active engagement, connectivity, sensors, artificial intelligence, and small device use. This paper provides an overview of existing Internet of Things (IoT), technical details, and applications in this new emerging area as well as we are thoroughly analyzing the layer about the IoT. However, this manuscript will give a better understanding for the new researchers, who want to do research in this field of Internet of Things.

show abstract

Section: 8security Monitoringmentioning

confidence: 99%

Section: Applications Of Internet Of Things (Iot)mentioning

confidence: 99%

An Extended Review on Internet of Things (IoT) and its Promising Applications

Perwej¹,

Ahmed²,

Kerim³

et al. 2019

CAE

View full text Add to dashboard Cite

show abstract

“…IoT is a technology in the sector of telecommunications [3]. It describes the networking and communication between physical and virtual objects [4].…”

Section: Introductionmentioning

confidence: 99%

“…Eventually, in case of an infringement, according to Art. 64 (3), any infringement of a European patent shall be dealt with by national law in each Contracting State in respect of which the patent is granted.…”

Section: Introductionmentioning

confidence: 99%

Survey on the Patent Law Awareness and the Entrepreneurial Trend of Greece’s Graduates of Technology Institutes

Metallidou

Psannis

Alexandropoulou-Egyptiadou

2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

In information technology industry, the development of new technology achievements influences and inspires the business world, serves and contributes to the progress of society. This rapidly evolving technological advancement needs a legal framework in order to obtain social and commercial status. Patent Law is the legal science and patent is the legal tool that adds value to intangible assets and therefore technology scientists are motivated to ensure their invention with a patent and also dominant technology enterprises are competing for the development of a strong patent portfolio. For the first time in Greece, combining the fields of intellectual property law and technological innovation, we created a survey using a questionnaire that was distributed in 2019, to graduated students of technology institutes in Greece. The purpose of the present survey is to clarify the knowhow of students as for the legal point of view of technology. We intend to find out, whether Greece's potential inventors have beyond their technological background, the skills and knowledge to support a potential innovative idea. The results of the survey were that students have confidence in the institution of patents; however they lack the knowledge of patenting technological inventions. At the same time they have a positive attitude and motivation for entrepreneurship in the technological industry. Consequently, it is vital to apply measures in education, for the next generation technical inventors to have the knowhow of utilizing their intellectual asset in their own free will. Then, we can refer to integrated scientist technocrats who can protect their intellectual property and manage a competitive business. INDEX TERMS Artificial intelligent inventions, computer related inventions, entrepreneurial trend, management of technology, patent law awareness, smart technology, survey on technology institutes.

show abstract

“…Furthermore, the adaptive fusion strategy involves selecting the best candidate tampering probability individually for each location in the image. Additionally, the experimental results prove that the proposed scheme can achieve much better detection results and robustness compared with the existing state-of-the-art PRNUbased methods.Today's advanced media technology, such as digital image processing, video coding [38], highefficiency video coding (HEVC) [24,35], Internet of Things (IoT) [36,45], and cloud computing (CC) [39], represents a fascinating time that will considerably affect daily life. In particular, digital images are being used in many applications such as the military, medical diagnosis, art pieces, and photography.…”

mentioning

confidence: 99%

Multi-scale segmentation strategies in PRNU-based image tampering localization

Zhang

Tang

Yang

et al. 2019

Multimed Tools Appl

View full text Add to dashboard Cite

With the rapid development of advanced media technology, especially the popularization of digital cameras and image editing software, digital images can be easily forged without leaving visible clues. Therefore, image forensics technology for identifying the accuracy, integrity, and originality of digital images has become increasingly important. Photoresponse non-uniformity (PRNU) noise, a unique fingerprint of imaging sensors, is a valuable forgery detection tool because of its consistently good detection performance. All kinds of forgeries, including copy-move and splicing, can be dealt with in a uniform manner. This paper addresses the problem of forgery localization based on PRNU estimation and aims to improve the resolution of PRNU-based algorithms. Different from traditional overlapping and sliding window-based methods, in which PRNU correlations are estimated on overlapped patches, the proposed scheme is analyzed based on nonoverlapping and irregular patches. First, the test image is segmented into nonoverlapped patches with multiple scales. Second, correlations of PRNU are estimated on nonoverlapped patches to obtain the real-valued candidate tampering probability map for each individual scale. Then, all of the candidate maps are fused into a single and more reliable probability map through an adaptive window strategy. In the final step, the final decision map is obtained by adopting a conditional random field (CRF) to model neighborhood interactions. The contributions of this work include the following: a novel PRNUbased forgery localization scheme using multi-scale nonoverlapping segmentation is proposed for the first time. Furthermore, the adaptive fusion strategy involves selecting the best candidate tampering probability individually for each location in the image. Additionally, the experimental results prove that the proposed scheme can achieve much better detection results and robustness compared with the existing state-of-the-art PRNUbased methods.Today's advanced media technology, such as digital image processing, video coding [38], highefficiency video coding (HEVC) [24,35], Internet of Things (IoT) [36,45], and cloud computing (CC) [39], represents a fascinating time that will considerably affect daily life. In particular, digital images are being used in many applications such as the military, medical diagnosis, art pieces, and photography. The reliability of digital images is thus becoming an important issue. However, currently, it is very easy to manipulate digital images without leaving visible traces using photo editing software. Therefore, it is important to focus on the image forensics field. One of the principal problems in image forensics is determining whether a particular image is authentic and, if manipulated, to localize which parts have been altered. Since forgery localization requires pixel-level analysis rather than image-level analysis, it faces more challenges compared to forgery detection. Related worksInstead of using digital watermarks [3] and signatures [47], many passive...

show abstract

Architecture for security monitoring in IoT environments

Cited by 31 publications

References 14 publications

An Extended Review on Internet of Things (IoT) and its Promising Applications

An Extended Review on Internet of Things (IoT) and its Promising Applications

Survey on the Patent Law Awareness and the Entrepreneurial Trend of Greece’s Graduates of Technology Institutes

Multi-scale segmentation strategies in PRNU-based image tampering localization

Contact Info

Product

Resources

About