Method To Uncover IP Spoofing Attack (ICOIACT)
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This document proposes a method to uncover IP spoofing attacks using a combination of Network Forensic Analysis Tools (NFAT) and IP correlation. It summarizes previous research in these areas and proposes a prototype model that integrates various components like a sniffer, input filter, IP correlation, and analyst tool. The prototype aims to address the gaps in real network implementation and theoretical domains identified in existing approaches. Future work involves developing and testing the prototype in virtual networks.
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IEEE INTERNET OF THINGS JOURNAL, VOL. 7, NO. 1, JANUARY 2020 1
IEEE INTERNET OF THINGS JOURNAL, VOL. 7, NO. 1, JANUARY 2020 1
A Survey on Digital Forensics in Internet of Things
Jianwei Hou , Yuewei Li, Jingyang Yu, and Wenchang Shi
Abstract—Internet of Things (IoT) is increasingly permeat-
ing peoples’ lives, gradually revolutionizing our way of life. Due
to the tight connection between people and IoT, now civil and
criminal investigations or internal probes must take IoT into
account. From the forensic perspective, the IoT environment con-
tains a rich set of artifacts that could benefit investigations, while
the forensic investigation in IoT paradigm may have to alter to
accommodate characteristics of IoT. Therefore, in this article, we
analyze the impact of IoT on digital forensics and systematize
the research efforts made by previous researchers from 2010 to
2018. We sketch the landscape of IoT forensics and examine the
state of IoT forensics under a 3-D framework. The 3-D frame-
work consists of a temporal dimension, a spatial dimension, and
a technical dimension. The temporal dimension walks through
the standard digital forensic process while the spatial dimension
explores where to identify sources of evidence in IoT environ-
ment. These two dimensions attempt to provide principles and
guidelines for standardizing digital investigations in the context
of IoT. The technical dimension guides a way to the exploration of
tools and techniques to ensure the enforcement of digital forensics
in the ever-evolving IoT environment. Put together, we present
a holistic overview of digital forensics in IoT. We also highlight
open issues and outline promising suggestions to inspire future
study.
Index Terms—Cybercrime, digital forensics, Internet of
Things (IoT).
I. INTRODUCTION
W ITH the Internet of Things (IoT) permeating our dailylives, people are becoming more reliant on various
kinds of smart IoT services, leaving traces on various IoT
devices. These rich repositories of digital traces in IoT envi-
ronment can provide insight into people’s daily activities in
their home and elsewhere, which are of great value to digital
forensics [1]. On the other hand, the number of both civil and
criminal cases involving IoT devices or services has grown.
IoT devices may not only be targets for attacks, but also tools
for committing crimes. Security vulnerabilities in IoT systems
can be leveraged to remotely control the systems, for exam-
ple, to control the accelerator and brake system of the smart
Manuscript received May 9, 2019; revised July 9, 2019; accepted August
26, 2019. Date of publication September 11, 2019; date of current version
January 10, 2020. This work was supported in part by the National Natural
Science Foundation of China under Grant 61472429, in part by the Natural
Science Foundation of Beijing Municipality under Grant 4122041, and in
part by the National High Technology Research and Development Program of
China under Grant 2007AA01Z414. (Corresponding author: Wenchang Shi.)
J. Hou, Y. Li, and ...
IoT Security proposal.pptx
IoT Security proposal
IoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security prop
The shift from social network security to the social iot security
This presentation delivered at the IoT workshop organized by the SRGE at CU on Thursday 12 July 2018
The shift from social network security to the social iot security
This lecture is presented at the IoT workshop organized by SRGE at CUm 12 July 2018 by Dr. Mohamed torky, SRGE member
Abid - Final Presentation .pptx
The document proposes a security framework for IoT to address data confidentiality, availability, and integrity. It begins with introducing IoT and discussing its background and threats to data security. A literature review is presented on related work and existing frameworks. The proposed framework includes nine layers: fog computing, management, integrity, security, data analysis, aggregation, storage, archiving, and application. A qualitative model is developed based on the literature review results to capture essential elements for an effective IoT security framework. The research methodology involves a systematic literature review analyzed with qualitative software. The conclusion recommends adopting this framework and its characteristics to better secure IoT data.
A Review On Intrusion Detection Systems To Secure IoT Networks
This document reviews intrusion detection systems (IDS) for securing Internet of Things (IoT) networks. It discusses the need for IDS in IoT given issues like increasing number of connected devices and resource constraints. The paper analyzes different types of attacks on IoT including on topology, resources, and traffic. It examines various IDS approaches for IoT based on placement strategy and technologies. Challenges of implementing lightweight IDS for resource-limited IoT are identified along with needs for further research on improving IDS security for IoT networks and devices.
Novel authentication framework for securing communication in internet-of-things
Internet-of-Things (IoT) offers a big boon towards a massive network of connected devices and is considered to offer coverage to an exponential number of the smart appliance in the very near future. Owing to the nascent stage of evolution of IoT, it is shrouded by security loopholes because of various reasons. Review of existing research-based solution highlights the usage of conventional cryptographic-based solution over the traditional mechanism of data forwarding process between IoT nodes and gateway. The proposed system presents a novel solution to this problem by a model that is capable of performing a highly secured and cost-effective authentication process. The proposed system introduces Authentication Using Signature (AUS) as well as Security with Complexity Reduction (SCR) for the purpose to resist participation of any form of unknown threats. The outcome of the model shows better security strength with faster response time and energy saving of the IoT nodes.
The Shift from Social Network Security to the Social IOT Security
1. The document discusses security challenges related to the shift from social network security to social internet of things (SIOT) security.
2. It outlines several types of relationships that can form in SIOT networks between intelligent devices, including parental, co-location, co-work, ownership, and social relationships.
3. Open security challenges for securing SIOT platforms are identified, such as insecure interfaces, lack of encryption, and SIOT networks providing opportunities for botnets and malware to spread. The number of IoT security attacks is expected to increase significantly as the number of connected devices grows exponentially.
Recommended
IEEE INTERNET OF THINGS JOURNAL, VOL. 7, NO. 1, JANUARY 2020 1
IEEE INTERNET OF THINGS JOURNAL, VOL. 7, NO. 1, JANUARY 2020 1
A Survey on Digital Forensics in Internet of Things
Jianwei Hou , Yuewei Li, Jingyang Yu, and Wenchang Shi
Abstract—Internet of Things (IoT) is increasingly permeat-
ing peoples’ lives, gradually revolutionizing our way of life. Due
to the tight connection between people and IoT, now civil and
criminal investigations or internal probes must take IoT into
account. From the forensic perspective, the IoT environment con-
tains a rich set of artifacts that could benefit investigations, while
the forensic investigation in IoT paradigm may have to alter to
accommodate characteristics of IoT. Therefore, in this article, we
analyze the impact of IoT on digital forensics and systematize
the research efforts made by previous researchers from 2010 to
2018. We sketch the landscape of IoT forensics and examine the
state of IoT forensics under a 3-D framework. The 3-D frame-
work consists of a temporal dimension, a spatial dimension, and
a technical dimension. The temporal dimension walks through
the standard digital forensic process while the spatial dimension
explores where to identify sources of evidence in IoT environ-
ment. These two dimensions attempt to provide principles and
guidelines for standardizing digital investigations in the context
of IoT. The technical dimension guides a way to the exploration of
tools and techniques to ensure the enforcement of digital forensics
in the ever-evolving IoT environment. Put together, we present
a holistic overview of digital forensics in IoT. We also highlight
open issues and outline promising suggestions to inspire future
study.
Index Terms—Cybercrime, digital forensics, Internet of
Things (IoT).
I. INTRODUCTION
W ITH the Internet of Things (IoT) permeating our dailylives, people are becoming more reliant on various
kinds of smart IoT services, leaving traces on various IoT
devices. These rich repositories of digital traces in IoT envi-
ronment can provide insight into people’s daily activities in
their home and elsewhere, which are of great value to digital
forensics [1]. On the other hand, the number of both civil and
criminal cases involving IoT devices or services has grown.
IoT devices may not only be targets for attacks, but also tools
for committing crimes. Security vulnerabilities in IoT systems
can be leveraged to remotely control the systems, for exam-
ple, to control the accelerator and brake system of the smart
Manuscript received May 9, 2019; revised July 9, 2019; accepted August
26, 2019. Date of publication September 11, 2019; date of current version
January 10, 2020. This work was supported in part by the National Natural
Science Foundation of China under Grant 61472429, in part by the Natural
Science Foundation of Beijing Municipality under Grant 4122041, and in
part by the National High Technology Research and Development Program of
China under Grant 2007AA01Z414. (Corresponding author: Wenchang Shi.)
J. Hou, Y. Li, and ...
IoT Security proposal.pptx
IoT Security proposal
IoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security proposalIoT Security prop
The shift from social network security to the social iot security
This presentation delivered at the IoT workshop organized by the SRGE at CU on Thursday 12 July 2018
The shift from social network security to the social iot security
This lecture is presented at the IoT workshop organized by SRGE at CUm 12 July 2018 by Dr. Mohamed torky, SRGE member
Abid - Final Presentation .pptx
The document proposes a security framework for IoT to address data confidentiality, availability, and integrity. It begins with introducing IoT and discussing its background and threats to data security. A literature review is presented on related work and existing frameworks. The proposed framework includes nine layers: fog computing, management, integrity, security, data analysis, aggregation, storage, archiving, and application. A qualitative model is developed based on the literature review results to capture essential elements for an effective IoT security framework. The research methodology involves a systematic literature review analyzed with qualitative software. The conclusion recommends adopting this framework and its characteristics to better secure IoT data.
A Review On Intrusion Detection Systems To Secure IoT Networks
This document reviews intrusion detection systems (IDS) for securing Internet of Things (IoT) networks. It discusses the need for IDS in IoT given issues like increasing number of connected devices and resource constraints. The paper analyzes different types of attacks on IoT including on topology, resources, and traffic. It examines various IDS approaches for IoT based on placement strategy and technologies. Challenges of implementing lightweight IDS for resource-limited IoT are identified along with needs for further research on improving IDS security for IoT networks and devices.
Novel authentication framework for securing communication in internet-of-things
Internet-of-Things (IoT) offers a big boon towards a massive network of connected devices and is considered to offer coverage to an exponential number of the smart appliance in the very near future. Owing to the nascent stage of evolution of IoT, it is shrouded by security loopholes because of various reasons. Review of existing research-based solution highlights the usage of conventional cryptographic-based solution over the traditional mechanism of data forwarding process between IoT nodes and gateway. The proposed system presents a novel solution to this problem by a model that is capable of performing a highly secured and cost-effective authentication process. The proposed system introduces Authentication Using Signature (AUS) as well as Security with Complexity Reduction (SCR) for the purpose to resist participation of any form of unknown threats. The outcome of the model shows better security strength with faster response time and energy saving of the IoT nodes.
The Shift from Social Network Security to the Social IOT Security
1. The document discusses security challenges related to the shift from social network security to social internet of things (SIOT) security.
2. It outlines several types of relationships that can form in SIOT networks between intelligent devices, including parental, co-location, co-work, ownership, and social relationships.
3. Open security challenges for securing SIOT platforms are identified, such as insecure interfaces, lack of encryption, and SIOT networks providing opportunities for botnets and malware to spread. The number of IoT security attacks is expected to increase significantly as the number of connected devices grows exponentially.
Trend Internet of Things
The document discusses trends and challenges in internet of things (IoT) from an information systems perspective. It describes IoT as involving the interconnection of heterogeneous networked entities through various communication patterns like human-to-human and machine-to-machine. The document outlines security and privacy as major issues in IoT due to the heterogeneity of devices, dynamicity of networks, and need to protect data. It reviews existing research that proposes solutions for these issues but identifies drawbacks like lack of testing on real heterogeneous devices and not addressing communication between different devices.
509286-Aki_Koivu-Review
This document discusses cryptography and security implementations for Internet of Things (IoT) devices. It begins with an introduction to IoT and the need for security protocols as IoT devices collect and transmit large amounts of sensitive data. Challenges to IoT security include the diversity of devices which makes vulnerabilities complex, and limited computational resources. The document then explores using symmetric and public key cryptography algorithms as well as proposed lightweight cryptography solutions for IoT security. It concludes that while traditional security solutions are inadequate, lightweight cryptography protocols have the potential to help secure IoT communications and address current challenges if standardized for diverse IoT hardware.
PRIVACY-PRESERVING MACHINE AUTHENTICATED KEY AGREEMENT FOR INTERNET OF THINGS
This document proposes a new privacy-preserving machine authenticated key agreement (AKA) protocol for the Internet of Things (IoT) called IoTMAKA. The protocol aims to eliminate human factors in IoT authentication by using machine biometrics like machine fingerprints. It also prioritizes privacy over security to protect the anonymity and untraceability of communicating entities. IoTMAKA is designed to reduce computational and communication overheads to improve efficiency compared to previous related works. The protocol involves three entities - an IoT device, a central server, and a service server. The central server authenticates the IoT device and service server and facilitates secure communication and key agreement between them.
A signature-based data security and authentication framework for internet of...
This document presents a research paper that proposes a signature-based data security and authentication framework for Internet of Things (IoT) applications. The paper introduces a novel computational model that establishes a unique authentication process using a simplified encryption strategy. The model considers both local and global IoT environments and implements an authentication mechanism using challenge-response exchanges between communicating nodes. A digital signature is generated using parameters like random seeds, secret keys, prime values, and data packets. Simulation results show that the proposed system offers efficient security and data transmission performance in the presence of unknown adversaries, performing better than commonly used security solutions in vulnerable IoT environments.
Trend & challenges Internet of Things
This document discusses trends and challenges related to the Internet of Things (IoT). It provides definitions and examples of key concepts in IoT including human-to-human, human-to-thing, machine-to-machine, and thing-to-thing communication patterns. The document also discusses issues around heterogeneity, dynamicity, and evolution in IoT networks. It describes some common security issues in IoT like denial of service attacks, eavesdropping, and physical damage. Additionally, it notes that privacy, security, and data hacking are major concerns for IoT and discusses the need for new legal approaches and suitable security solutions to guarantee confidentiality, access control, and privacy for users and devices.
A Comprehensive Survey on Exiting Solution Approaches towards Security and Pr...
‘Internet of Things (IoT)’emerged as an intelligent collaborative computation and communication between a set of objects capable of providing on-demand services to other objects anytime anywhere. A large-scale deployment of data-driven cloud applications as well as automated physical things such as embed electronics, software, sensors and network connectivity enables a joint ubiquitous and pervasive internet-based computing systems well capable of interacting with each other in an IoT. IoT, a well-known term and a growing trend in IT arena certainly bring a highly connected global network structure providing a lot of beneficial aspects to a user regarding business productivity, lifestyle improvement, government efficiency, etc. It also generates enormous heterogeneous and homogeneous data needed to be analyzed properly to get insight into valuable information. However, adoption of this new reality (i.e., IoT) by integrating it with the internet invites a certain challenges from security and privacy perspective. At present, a much effort has been put towards strengthening the security system in IoT still not yet found optimal solutions towards current security flaws. Therefore, the prime aim of this study is to investigate the qualitative aspects of the conventional security solution approaches in IoT. It also extracts some open research problems that could affect the future research track of IoT arena.
IoT and the implications on business IT architecture and security
The basics of IoT, the security issues both personal and within businesses. These slides cover the basics of what IT and Business professionals should know when considering working with Cloud Computing and IoT devices.
Unauthorized Access Detection in IoT using Canary Token Algorithm
- The document discusses a proposed algorithm called Canary Token Algorithm that can detect unauthorized access in Internet of Things (IoT) systems.
- Canary tokens act as an intrusion detection system and work by being deployed directly on user systems. Even if the server is compromised, canary tokens on user systems can still detect the compromise and warn users.
- The proposed model uses canary tokens that are integrated with an IoT login service. The canary tokens track login requests and trigger warnings to users if any unauthorized access is detected, even if the actual login fails. This provides an additional layer of security and detection when servers may be compromised.
Analysis of Honeypot Networks and Intrusion Prevention System IPS on Wireless...
Honeypot is a way to trap or ward off unauthorized use attempts in an information system. Honeypots are a distraction for hackers, so that it appears as if they have succeeded in breaking into and retrieving data from a network, even though in fact the data is not important and the location is already isolated. One type of honeypot is honeyd. Honeyd is a honeypot with a low interaction type which has less risk than the high interaction type because the interaction with the honeypot does not directly involve the actual system. Security issues are one of the important aspects of a network, especially network security on servers. This problem underlies the need to build a system that can detect threats from parties who do not have access rights hackers , namely by building a honeypot security system. Honeypot is. The aim of implementing Honeypot and IPS is that it can be used as a tool for administrators to view activity reports produced by Honeyd and administrators can also view reports stored in logs to help determine network security policies. Karina Asmara | M. Fakhri | Togu Harlen Lbn. Raja "Analysis of Honeypot Networks and Intrusion Prevention System (IPS) on Wireless Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63502.pdf Paper Url: https://www.ijtsrd.com/computer-science/computer-network/63502/analysis-of-honeypot-networks-and-intrusion-prevention-system-ips-on-wireless-networks/karina-asmara
IRJET - Cyber Security Threats and Measures in Context with IoT
This document discusses cyber security threats related to Internet of Things (IoT) devices and proposes measures to address them. It begins with an introduction to the growth of IoT and the security risks it poses as more data is shared through interconnected devices. Common cyber attacks on IoT devices are then explored, such as attacks exploiting default passwords and lack of updates. Specific security issues for wireless sensor networks, RFID technology, and the application layer are also outlined. The document proposes developing calibrated security measures for IoT devices to provide authentication, integrity, and confidentiality of information flows. A case study demonstrates how identifying and verifying users could help reduce the risk of fraud.
Running head INTERNET OF THINGS1INTERNET OF THINGS10.docx
Running head: INTERNET OF THINGS1
INTERNET OF THINGS10
Internet of Things
Ideation Process
Innovation technology is mainly concerned with the introduction of a new idea into the market. Any basic innovation technology has an ideation process as its basis. Ideation becomes the most basic step. During this stage, a thought is generated. From this thought, an idea is analyzed and provided. The analysis process is done purposefully to determine the feasibility of the implementation of the developed idea. Analysis also establishes the market demand of the idea that has been developed. It determines the possible profit, and this such of an idea would bring to the organization upon its implementation. This explanation will be discussed on the aspect of a new technology known as Internet of Things, which was designed with a main reason of providing internet faculties to all locations on the surface of the earth on each scale.
When an analysis has been completed, what follows afterwards is the aspect of idea implementation. Implementation of the idea is always followed by the testing of the idea (Gubbi et al., 2013). Here, the idea is tested for its validity to be established. The validity here is trying to answer the question of whether the idea is trying to answer the problem that led to its establishment and implementation. Validity also gives the corrections and accuracy on the assessment of the set system. In case the assessment gives the right thing that the set idea was meant to provide, then the idea is valued and worth to be used in the market. If a contrary occurs, then it becomes advisable for the idea to be scripted. Every system needs to pass the validity test for it to be reliable, although some experts argues that not all valid systems are reliable.
Alternative
Solution
s
Most cases of the idealization process require alternatives to limit any possible risk or loss. Sometimes, it is evident that the innovative idea may bring some critical challenges in the implementation process. Some aspects that should be considered in the process include budget, and other critical resources that are required in the implementation process. For instance, the IoT can be used to supply internet connectivity in case the other alternative fails or vice versa. It is recommended that any form of learning and research should be done to control any possible discrepancies in the IoT technology. Any other technology can be implemented if it depicts the same functionality as the one described by the IoT.
Overview
The IoT refers to ever-growing technology that provides IP addresses to all objects and substances that one may imagine associating with. The assigned objects can promote communication amongst themselves. This technology tries to improve communication among individuals on a large scale by using the internet. The data grouping as well as digitizing the concept of IoT, calls for construction of four c ...
A survey on Internet of Things (IoT) security : Challenges and Current status
When Internet of Things (IoT) applications become a part of people’s daily life, security issues in IoT have caught substantial attention in both academia and industry. Compared to traditional computing systems, IoT systems have more inherent vulnerabilities, and in the intervening time, could have higher security requirements. However, the current design of IoT does not successfully address the higher security requirements postured by those vulnerabilities. Many recent attacks on IoT systems have shown that novel security solutions are needed to defend this emerging system. This paper purposes to examine security challenges resulted from the special characteristics of the IoT systems and the new features of the IoT applications. This could help pave the road to better security solution design. Furthermore, three architectural security designs are suggested and analyzed. Examples of how to implement these designs are discussed. Finally, for each layer in IoT architecture, open issues are also identified.
A survey on cyber law
This document summarizes a survey on cyber law in India. It discusses key issues and emerging challenges for cyber law in India, including security issues, ethical issues, lack of standardization, and rapidly evolving technologies. It also discusses implementations and solutions for enforcing cyber law in India, such as establishing more cyber crime cells, implementing a global techno-legal framework, and regular updates to the Information Technology Act. The survey concludes that cyber law is an evolving area with many complex issues and challenges due to the changing nature of both technology and crime, and will require ongoing research and improvements to effectively address cybercrime in India.
SPEEDA INSIGHTS_Market Prospects for the Security Industry
The document discusses market prospects for the security industry. It notes that demand for both information and physical security is growing due to factors like crime prevention, anti-terrorism efforts, and disaster prevention. Information security issues are expanding beyond hardware protection to include massive data networks and personal information, while physical security now covers a wider range of objects like home electronics and vehicles. Emerging technologies like the Internet of Things (IoT) and artificial intelligence (AI) will play important roles in security solutions by enabling the connection and monitoring of more devices and allowing automated analysis of data. The global information security market has grown significantly in recent years and is expected to continue expanding, while the physical security market is also growing rapidly driven by increasing demand for surveillance
INTERNET OF THINGS A STUDY ON SECURITY AND PRIVACY THREATSMd .docx
INTERNET OF THINGS: A STUDY ON SECURITY AND PRIVACY THREATS
Md Husamuddin
Dept. of computer science
College of CS and IT, Al-Baha University
Al-Baha, Kingdom of Saudi Arabia
Dr. [email protected]
ABSTRACT
The current world is driven by new, developing technologies. This has resulted in a variety of smart devices in the society that has impacted positively on the lives of people in the community. However, the organization has been experiencing threats and cyberattacks that mostly targets the private information. Therefore, in this paper, my discussion is centered on the different applications of the internet of things as well as security threats that are involved.
Keywords: security, privacy.
INTRODUCTION
The Internet of things is the most significant of the future of the internet. IoT has a global network through which ant object can connect with the other devices that are also linked on the internet. These devices include computers, tabs, cell phones, among many others. Generally, the internet of things is a system made up of connected things. This machine contains a microchip that connects all the methods related to it. Microchips serve the function of tracking the surrounding of the network and to give the report in case of any findings pertaining to the internet. The meaning of PC wrongdoing and cloud wrongdoing will be come to out to the IoT wrongdoing, which talks to any malignant development that incorporates the IoT worldview as within the IoT contraptions, organizations, or correspondence channels can be a subject, thing, or gadget recognized with the infringement. To investigate these sorts of cases, it is required to execute computerized crime scene examination technique within the IoT to choose the substances around an event. The meaning of a capable and adjust IoT progressed lawful sciences method is still at its unimaginable intrigued (Husamuddin, 2015). The most significant part of IoT is that it makes it possible for different entities to be communicated and to be accessed via the internet. This is very economical as a result, attracts many devices to be connected to the internet (Balte &Patil,2015). Research shows that more than 40 billion devices in 2019 got connected, and a higher risk of this is expected in the current year.
SECURITY REQUIREMENTS
The rate at which technologies are emerging is so high, and this has lead to threats as well as a privacy issue. The smart devices arising from this technology will interact with other devices and transmit information in the network (Balte, &Patil,2015). If a computer gets infected, the effects ripples to other devices in the system; thus, the whole internet infrastructure would be at risk. As soon as an attack spot has been identified, it is feasible to enumerate the safety vulnerabilities and risk prone regions requiring defense-in-intensity protection. Such safety refers to a typically used approach to protect important data on company networks wherein security controls ...
DEDA: An algorithm for early detection of topology attacks in the internet of...
The internet of things (IoT) is used in domestic, industrial as well as mission-critical systems including homes, transports, power plants, industrial manufacturing and health-care applications. Security of data generated by such systems and IoT systems itself is very critical in such applications. Early detection of any attack targeting IoT system is necessary to minimize the damage. This paper reviews security attack detection methods for IoT Infrastructure presented in the state-of-the-art. One of the major entry points for attacks in IoT system is topology exploitation. This paper proposes a distributed algorithm for early detection of such attacks with the help of predictive descriptor tables. This paper also presents feature selection from topology control packet fields. The performance of the proposed algorithm is evaluated using an extensive simulation carried out in OMNeT++. Performance parameter includes accuracy and time required for detection. Simulation results presented in this paper show that the proposed algorithm is effective in detecting attacks ahead in time.
Korea EU workshop - solutions and challenges for a Cognitive IoT
iCore results and IoT related research challenges as presented during Korea EU workshop, Seoul 01 Oct 2013
Internet of Things IoT Anytime Anywhere Anything Connectivity
This paper presents the key challenges in the domain of IoT. The key challenges associated with the development of IoT, industry as well as government, Industrial IoT systems, the related security and privacy challenges has been reviewed and presented. Vulnerability of Internet of Things systems have been improved with the advent of new computational systems for IoT. However, the current design of IoT does not effectively address the higher security requirements posed by those vulnerabilities. Many recent attacks on IoT systems have shown that novel security solutions are needed to protect this emerging system. Nidhi Chadha | Ramandeep Kaur "Internet of Things (IoT): Anytime-Anywhere-Anything Connectivity" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd40008.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-network/40008/internet-of-things-iot-anytimeanywhereanything-connectivity/nidhi-chadha
Ph.D. Thesis: A Methodology for the Development of Autonomic and Cognitive In...
Ph.D. Thesis: A Methodology for the Development of Autonomic and Cognitive In...Universita della Calabria,
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Running head INTERNET OF THINGS1INTERNET OF THINGS10.docx
Running head: INTERNET OF THINGS1
INTERNET OF THINGS10
Internet of Things
Ideation Process
Innovation technology is mainly concerned with the introduction of a new idea into the market. Any basic innovation technology has an ideation process as its basis. Ideation becomes the most basic step. During this stage, a thought is generated. From this thought, an idea is analyzed and provided. The analysis process is done purposefully to determine the feasibility of the implementation of the developed idea. Analysis also establishes the market demand of the idea that has been developed. It determines the possible profit, and this such of an idea would bring to the organization upon its implementation. This explanation will be discussed on the aspect of a new technology known as Internet of Things, which was designed with a main reason of providing internet faculties to all locations on the surface of the earth on each scale.
When an analysis has been completed, what follows afterwards is the aspect of idea implementation. Implementation of the idea is always followed by the testing of the idea (Gubbi et al., 2013). Here, the idea is tested for its validity to be established. The validity here is trying to answer the question of whether the idea is trying to answer the problem that led to its establishment and implementation. Validity also gives the corrections and accuracy on the assessment of the set system. In case the assessment gives the right thing that the set idea was meant to provide, then the idea is valued and worth to be used in the market. If a contrary occurs, then it becomes advisable for the idea to be scripted. Every system needs to pass the validity test for it to be reliable, although some experts argues that not all valid systems are reliable.
Alternative
Solution
s
Most cases of the idealization process require alternatives to limit any possible risk or loss. Sometimes, it is evident that the innovative idea may bring some critical challenges in the implementation process. Some aspects that should be considered in the process include budget, and other critical resources that are required in the implementation process. For instance, the IoT can be used to supply internet connectivity in case the other alternative fails or vice versa. It is recommended that any form of learning and research should be done to control any possible discrepancies in the IoT technology. Any other technology can be implemented if it depicts the same functionality as the one described by the IoT.
Overview
The IoT refers to ever-growing technology that provides IP addresses to all objects and substances that one may imagine associating with. The assigned objects can promote communication amongst themselves. This technology tries to improve communication among individuals on a large scale by using the internet. The data grouping as well as digitizing the concept of IoT, calls for construction of four c ...
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INTERNET OF THINGS A STUDY ON SECURITY AND PRIVACY THREATSMd .docx
INTERNET OF THINGS: A STUDY ON SECURITY AND PRIVACY THREATS
Md Husamuddin
Dept. of computer science
College of CS and IT, Al-Baha University
Al-Baha, Kingdom of Saudi Arabia
Dr. [email protected]
ABSTRACT
The current world is driven by new, developing technologies. This has resulted in a variety of smart devices in the society that has impacted positively on the lives of people in the community. However, the organization has been experiencing threats and cyberattacks that mostly targets the private information. Therefore, in this paper, my discussion is centered on the different applications of the internet of things as well as security threats that are involved.
Keywords: security, privacy.
INTRODUCTION
The Internet of things is the most significant of the future of the internet. IoT has a global network through which ant object can connect with the other devices that are also linked on the internet. These devices include computers, tabs, cell phones, among many others. Generally, the internet of things is a system made up of connected things. This machine contains a microchip that connects all the methods related to it. Microchips serve the function of tracking the surrounding of the network and to give the report in case of any findings pertaining to the internet. The meaning of PC wrongdoing and cloud wrongdoing will be come to out to the IoT wrongdoing, which talks to any malignant development that incorporates the IoT worldview as within the IoT contraptions, organizations, or correspondence channels can be a subject, thing, or gadget recognized with the infringement. To investigate these sorts of cases, it is required to execute computerized crime scene examination technique within the IoT to choose the substances around an event. The meaning of a capable and adjust IoT progressed lawful sciences method is still at its unimaginable intrigued (Husamuddin, 2015). The most significant part of IoT is that it makes it possible for different entities to be communicated and to be accessed via the internet. This is very economical as a result, attracts many devices to be connected to the internet (Balte &Patil,2015). Research shows that more than 40 billion devices in 2019 got connected, and a higher risk of this is expected in the current year.
SECURITY REQUIREMENTS
The rate at which technologies are emerging is so high, and this has lead to threats as well as a privacy issue. The smart devices arising from this technology will interact with other devices and transmit information in the network (Balte, &Patil,2015). If a computer gets infected, the effects ripples to other devices in the system; thus, the whole internet infrastructure would be at risk. As soon as an attack spot has been identified, it is feasible to enumerate the safety vulnerabilities and risk prone regions requiring defense-in-intensity protection. Such safety refers to a typically used approach to protect important data on company networks wherein security controls ...
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Running head INTERNET OF THINGS1INTERNET OF THINGS10.docx
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A survey on Internet of Things (IoT) security : Challenges and Current status
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INTERNET OF THINGS A STUDY ON SECURITY AND PRIVACY THREATSMd .docx
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Method To Uncover IP Spoofing Attack (ICOIACT)
- 1. Method To Uncover IP Spoofing Attack On Network Forensics Using NFAT and IP Correlation As Combined Approach ICOIACT 2019 Yogyakarta (24 – 25 July 2019) Presented By : Suryo P. Utomo (National Anti – Narcotics Agency Republic of Indonesia)
- 2. Issue • Cyber Attack on Government Service using IP Spoofing • Perpetrator's real IP is difficult to trace • Proprietary solution mostly to defense network not to trace the attacker
- 3. IP Spoofing / IP Address Forgery
- 4. • Yearly report form ID SIRTII (Indonesia Cyber Incident Response Team under BSSN) • 232.447.974 total attack • Go.id become the most victim
- 5. Some Research to Address Issue • Synergizes NFAT (Network Forensic Analysis Tool) with IDS (Intrusion Detection System) with Firewalls (Correy2002) • IP Correlation • Matrix based visualization for network forensics (Shi2016) • Payload attribution scheme (Hosseini2018)
- 7. Opportunity • A sufficient researches to address the issue already been there but unfortunately is not unified • How to integrate this research products into one solution • Break it into component then glue into a prototype
- 8. Component • Sniffer • Input / Filter • IP Correlation • Threat Source • Analyst Tool
- 10. Gap & Findings • The gap : • Real network implementation • Theoretical domain • The findings of the proposed integrated system • Reliable feeding information from threat crowd and the capacity of evidence fusion database storage
- 11. Conclusion • An integrated solution to address the issue of IP spoofing attack using the previous studies is possible to answer the difficulty in uncovering digital trace from the attacker who is using IP spoofing to avoid detection from law enforcer agency. • This proposed solution has advantage that borrows from previous research
- 12. Future Works • Develop prototype • Test in virtual networks
Editor's Notes
- Thank you Chair Person for the opportunity. Ladies and gentlemen I would like to present our research on digital forensic with the title above. Based on the conference theme which is intelligent system for creative industries in disruption era. We know that the threat for creative industries is so massive.
- One of the example of disruption service in government is cyber attack using IP spoofing. This attack method is common to find in any digital forensic evidence. The use of IP spoofing is well known for the assailant to obfuscate his track. Unfortunately, proprietary and enterprise solution is focused to defense the network from threat. The capability to trace the attacker is not embedded.
- IP spoofing or the other name is IP address forgery is a method to change source up address with other IP address. This method usually use by the threat actor in MITM, DDOS, etc. The process to change one IP address to the other IP is not illegitimate action. We usually we find this behavior in NAT, proxy or VPN. It is a network feature by design. But if somebody use this feature to hide his criminal act then it could be a problem for the original owner of the Spoofed IP Address.
- This is information from the last year report from ID Sirtii. The attack on cyber infrastructure is quite humongous. We know the creative industry is build based on trust. If there is no trust then it is a matter of time when the industry will collapse. Example: data breach on Bukalapak and tokopedia which has impact to their user’s trust. The actor is still not arrested by law enforcer.
- So, in our journey to find solution for this research problem. We found interesting proposal from Correy, Shi and Hosseini. In bigger picture there are two approach to address IP Spoofing Issue, first, maximize the function of firewall and IDS by synergizes with NFAT, with this approach the forensic activity will begin before the incident or attack occurred thus it is possible to speed up investigation. Second, we must have capability to correlate every IP information faster, to do that an effective visualization and filter mechanism is a must. So that’s why these research become the core in our research.
- We used Design Research Methodology type 1 by Blessing and Chakrabakti as our research method. The main objective of this research is to find a prototype method or model to answer research problem. The research begin with research clarification, literature analysis is main input for this activity, the output is initial reference, impact and preliminary criteria. After the research clarification, we begin descriptive study with the input data analysis from previous stages with the output reference model and success criteria. This stages is reversible, if the descriptive study is not desired, it is possible to revert to stage 1.
- So, there is some opportunity that we find in these research, there are already sufficient research to address the issue and how an integrated proposed model can become a unified solution .
- There is five component in our proposed model: First, Sniffer component, we are using corey work as base to develop our sniffer. Second, filter component, we are using hosseini work For IP Correlation we are still using hosseini and also helped by zhihong work. For threat source we use crouwdsource database, which is from threatsource.org and also we borrow dempster-shafer theory and the last component we combine shi and sansoraah works for analyst tool.
- And so, this is our proposed prototype method / model solution. Here, you can see that firewall and IDS work together and synergize with NFAT, so forensic activity can begin before incident occurred. Every information captured by NFAT will be forward to filter, this filter is using payload attribute scheme, after that the filtered packet is send to evidence fusion database. The analyst will look the information via analyzer visualization tool that has packet logging traceback strategy.
- So, We must be honest that our research has gap which is real network implementation. This is because to implement traceback logging strategy, the router need to have probabilistic packet marking capability, and since some research still in theoretical domain, then we will have quite challenge to realize our models. And since we need reliable feeding information from threatcrowd database, we have a quite dependency with threatcrowd, and of course storage capacity can become issue for high traffic monitoring.
- And this is our conclusion, baca konklusi
- The last slide, this is our homework right now. We hope we can realize our models in the next year.