Preprocessing and Framework for Unsupervised Anomaly Detection in IoT: Work on Progress

Published on Oct 1, 2018 in ICEE (International Conference on Electrical Engineering)
· DOI :10.1109/ICECOS.2018.8605231
Estimated H-index: 3
Benni Purnama3
Estimated H-index: 3
+ 3 AuthorsRahmat Budiarto13
Estimated H-index: 13
(Al Baha University)
A robust increasing on smart sensors in Internet of Thing (IoT) results huge and heterogenous data and becomes a challenge in data prepocessing and analysis for anomaly detection. The lack of IoT publicly available dataset is one issue in anomaly detection research. To resolve that problem, a testbed topology is proposed in this research. In addition, a high-dimensionality data analysis faces a computational complexity. The purpose of this study is to presents a global framework for anomaly detection in IoT and proposes a distributed preprocessing framework. Unsupervised learning approach has been chosen to reduce dimensionality of IoT data traffic.
📖 Papers frequently viewed together
25 Citations
2 Citations
1 Citations
#1Jie Cai (Hunan University)H-Index: 5
#2Jiawei Luo (Hunan University)H-Index: 18
Last. Sheng Yang (Hunan University)H-Index: 2
view all 4 authors...
Abstract High-dimensional data analysis is a challenge for researchers and engineers in the fields of machine learning and data mining. Feature selection provides an effective way to solve this problem by removing irrelevant and redundant data, which can reduce computation time, improve learning accuracy, and facilitate a better understanding for the learning model or data. In this study, we discuss several frequently-used evaluation measures for feature selection, and then survey supervised, un...
421 CitationsSource
#1Sunny Behal (PTU: Punjab Technical University)H-Index: 12
#2Krishan Kumar (Panjab University, Chandigarh)H-Index: 44
Last. Monika Sachdeva (PTU: Punjab Technical University)H-Index: 12
view all 3 authors...
Abstract In the present computer era, though the Internet-based applications are the driving force of social evolution, yet its architectural vulnerabilities proffer plethoric leisure to the attackers for conquering diversity of attacks on its services. Distributed Denial of Service (DDoS) is one of such prominent attack that constitutes a lethal threat to Internet domain that harnesses its computing and communication resources. Despite the presence of enormous defense solutions, ensuring the se...
50 CitationsSource
#1Mahmoud Ammar (University of Copenhagen Faculty of Science)H-Index: 5
#2Giovanni Russello (University of Auckland)H-Index: 18
Last. Bruno Crispo (Katholieke Universiteit Leuven)H-Index: 39
view all 3 authors...
Abstract The Internet of Things (IoT) is heavily affecting our daily lives in many domains, ranging from tiny wearable devices to large industrial systems. Consequently, a wide variety of IoT applications have been developed and deployed using different IoT frameworks. An IoT framework is a set of guiding rules, protocols, and standards which simplify the implementation of IoT applications. The success of these applications mainly depends on the ecosystem characteristics of the IoT framework, wi...
369 CitationsSource
#1Nashreen Nesa (Indian Institute of Engineering Science and Technology, Shibpur)H-Index: 5
#2Tania Ghosh (Indian Institute of Engineering Science and Technology, Shibpur)H-Index: 3
Last. Indrajit Banerjee (Indian Institute of Engineering Science and Technology, Shibpur)H-Index: 15
view all 3 authors...
Abstract Although study on outlier detection techniques has long been an area of much research, few of those works relate to an Internet of Things (IoT) environment. In the last few years, with the advent of IoT and its numerous smart objects, data generated from sensors have increased exponentially. Since on the basis of these data many critical decisions are taken, it is therefore necessary to absolutely ensure its accuracy, correctness and integrity before any processing starts. Most algorith...
21 CitationsSource
#1Mandrita Banerjee (UTSA: University of Texas at San Antonio)H-Index: 2
#2Junghee Lee (UTSA: University of Texas at San Antonio)H-Index: 10
Last. Kim-Kwang Raymond Choo (UTSA: University of Texas at San Antonio)H-Index: 86
view all 3 authors...
Abstract Internet-of-Things (IoT) are increasingly found in civilian and military contexts, ranging from Smart Cities to Smart Grids to Internet-of-Medical-Things to Internet-of-Vehicles to Internet-of-Military-Things to Internet-of-Battlefield-Things, etc. In this paper, we survey articles presenting IoT security solutions published in English since January 2016. We make a number of observations, include the lack of publicly available IoT datasets that can be used by the research and practition...
222 CitationsSource
#1Diego Santoro (University of Naples Federico II)H-Index: 3
#2Gines Escudero-Andreu (Lboro: Loughborough University)H-Index: 1
Last. Michele Vadursi (University of Naples Federico II)H-Index: 16
view all 6 authors...
Wireless communications are vulnerable to certain number of cyber-attacks and intrusion attempts due to the intrinsic openness of the communication channel. Virtual jamming attack stands out among other attacks. This type of attack is easy to implement, energy-efficient to be launched, and represents one of the most important threats to the security of wireless networks. As the complexity of the attacks keeps increasing, new and more robust detection mechanisms need to be developed. A number of ...
15 CitationsSource
#1Abebe Abeshu Diro (La Trobe University)H-Index: 7
#2Naveen Chilamkurti (La Trobe University)H-Index: 35
Abstract Cybersecurity continues to be a serious issue for any sector in the cyberspace as the number of security breaches is increasing from time to time. It is known that thousands of zero-day attacks are continuously emerging because of the addition of various protocols mainly from Internet of Things (IoT). Most of these attacks are small variants of previously known cyber-attacks. This indicates that even advanced mechanisms such as traditional machine learning systems face difficulty of det...
316 CitationsSource
#1Menachem Domb (Ashkelon Academic College)H-Index: 2
#2Elisheva Bonchek-Dokow (Ashkelon Academic College)H-Index: 1
Last. Guy Leshem (Ashkelon Academic College)H-Index: 2
view all 3 authors...
Abstract The area of the Internet of Things is growing rapidly. The volume of transmitted data over the various sensors is growing accordingly. Sensors typically are low in resources of storage, memory and processing power. Data security and privacy are part of the major concerns and drawbacks of this growing domain. Sensor traffic analysis has become an increasingly important domain to protect IoT infrastructures from intruders. An IoT network intrusion detection system is required to monitor a...
13 CitationsSource
#1Hamid Bostani (Islamic Azad University South Tehran Branch)H-Index: 5
#2Mansour Sheikhan (Islamic Azad University South Tehran Branch)H-Index: 23
Abstract Internet of Things (IoT) is a novel paradigm in computer networks in which resource-constrained objects connect to unreliable Internet by using a wide range of technologies. The insecure nature of the Internet and wireless sensor networks, that are the main components of IoT, make IoT vulnerable to different attacks, especially routing attacks (as insider attacks). A novel real-time hybrid intrusion detection framework is proposed in this study that consists of anomaly-based and specifi...
95 CitationsSource
#1H. H. W. J. Bosman (TU/e: Eindhoven University of Technology)H-Index: 6
#2Giovanni IaccaH-Index: 19
Last. Antonio Liotta (TU/e: Eindhoven University of Technology)H-Index: 31
view all 5 authors...
A method of neighborhood data fusion in decentralized anomaly detection is proposed.The effects of neighborhood size and spatio-temporal correlation are explored.Performance increases when the system is deployed in a correlated environment.Fusing small neighborhoods is preferred over larger neighborhoods. The field of wireless sensor networks (WSNs), embedded systems with sensing and networking capability, has now matured after a decade-long research effort and technological advances in electron...
71 CitationsSource
Cited By3
#1Domenico Garlisi (University of Palermo)H-Index: 10
#2Alessio Martino (National Research Council)H-Index: 9
Last. Francesca Cuomo (Sapienza University of Rome)H-Index: 24
view all 5 authors...
The interest in the Internet of Things (IoT) is increasing both as for research and market perspectives. Worldwide, we are witnessing the deployment of several IoT networks for different applications, spanning from home automation to smart cities. The majority of these IoT deployments were quickly set up with the aim of providing connectivity without deeply engineering the infrastructure to optimize the network efficiency and scalability. The interest is now moving towards the analysis of the be...
1 CitationsSource
#1Sharipuddin (Sriwijaya University)H-Index: 3
#2Benni Purnama (Sriwijaya University)H-Index: 3
Last. Rahmat Budiarto (Al Baha University)H-Index: 13
view all 8 authors...
Feature extraction solves the problem of finding the most efficient and comprehensive set of features. A Principle Component Analysis (PCA) feature extraction algorithm is applied to optimize the effectiveness of feature extraction to build an effective intrusion detection method. This paper uses the Principal Components Analysis (PCA) for features extraction on intrusion detection system with the aim to improve the accuracy and precision of the detection. The impact of features extraction to at...
1 CitationsSource
#1Jacopo Maria Valtorta (Sapienza University of Rome)H-Index: 1
#2Alessio Martino (Sapienza University of Rome)H-Index: 9
Last. Domenico Garlisi (University of Palermo)H-Index: 10
view all 4 authors...
Internet of Things (IoT) devices are starting to play a predominant role in our everyday life. Application systems like Amazon Echo and Google Home allow IoT devices to answer human requests, or trigger some alarms and perform suitable actions. In this scenario, any data information, related device and human interaction are stored in databases and can be used for future analysis and improve the system functionality. Also, IoT information related to the network level (wireless or wired) may be st...
5 CitationsSource