The proliferation of Internet of Things (IoT) and the success of rich cloud services have pushed the horizon of a new computing paradigm, edge computing, which calls for processing the data at the edge of the network. Edge computing has the potential to address the concerns of response time requirement, battery life constraint, bandwidth cost saving, as well as data safety and privacy. In this paper, we introduce the definition of edge computing, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative edge to materialize the concept of edge computing. Finally, we present several challenges and opportunities in the field of edge computing, and hope this paper will gain attention from the community and inspire more research in this direction.
Edge computing refers to the enabling technologies allowing computation to be performed at the edge of the network, on downstream data on behalf of cloud services and upstream data on behalf of IoT services. Here we define “edge” as any computing and network resources along the path between data sources and cloud data centers. For example, a smart phone is the edge between body things and cloud, a gateway in a smart home is the edge between home things and cloud, a micro data center and a cloudlet is the edge between a mobile device and cloud. The rationale of edge computing is that computing should happen at the proximity of data sources. From our point of view, edge computing is interchangeable with fog computing, but edge computing focus more toward the things side, while fog computing focus more on the infrastructure side. Edge computing could have as big an impact on our society as has the cloud computing.
Edge Computing often misquoted, misrepresented, and misunderstood. In this presentation, I tried to demystify what the Edge Computing is and what role the edge computing plays in the Connected World.
Edge computing is redefining the cloud computing space. The growing de-emphasis on the cloud’s role in connected environments is expected to lead to smarter and faster autonomous solutions that have the potential to reshape the IoT landscape. Edge computing will transform the IoT landscape into a hyperconnected environment where the restrictions related to latency and computation capacity will be eliminated. Many companies are transforming their business models to attain edge computing capabilities necessary for offering end to end services.
The recent years have witnessed a number of mergers and acquisitions in the edge computing space for IoT services, with the increase in M&A activities representing the industry’s conundrum of cloud, edge, and hybrid architectures, and the race to achieve a considerable market share.
This report includes an analysis of approximately 60 deals, along with a detailed technology overview and the purpose of the acquisitions. The M&A analysis section offers a comprehensive view of the transactions around edge computing, covering different technology aspects including data center, AI, security, software-defined WAN (SD-WAN), analytics, interoperability, multi-access edge computing (MEC), and others.
To purchase the full report, write to us at info@netscribes.com
Edge Computing: An Extension to Cloud ComputingRamneek Kalra
This presentation was shared by Shally Gupta (PhD Research Scholar | IEEE Graduate Member) & Ramneek Kalra (IEEE Impact Creator) at IEEE MRU Student Branch, Faridabad, Haryana, India.
Edge computing allows data produced by internet of things (IoT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds.
Doing this computing closer to the edge of the network lets organizations analyze important data in near real-time – a need of organizations across many industries, including manufacturing, health care, telecommunications and finance.Edge computing deployments are ideal in a variety of circumstances. One is when IoT devices have poor connectivity and it’s not efficient for IoT devices to be constantly connected to a central cloud.
Other use cases have to do with latency-sensitive processing of information. Edge computing reduces latency because data does not have to traverse over a network to a data center or cloud for processing. This is ideal for situations where latencies of milliseconds can be untenable, such as in financial services or manufacturing.
Through this presentation, you will get to know about Edge computing and explore the fields where it is needed.
You can start exploring the technical knowledge by seeing what industries are working on now-days
The proliferation of Internet of Things (IoT) and the success of rich cloud services have pushed the horizon of a new computing paradigm, edge computing, which calls for processing the data at the edge of the network. Edge computing has the potential to address the concerns of response time requirement, battery life constraint, bandwidth cost saving, as well as data safety and privacy. In this paper, we introduce the definition of edge computing, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative edge to materialize the concept of edge computing. Finally, we present several challenges and opportunities in the field of edge computing, and hope this paper will gain attention from the community and inspire more research in this direction.
Edge computing refers to the enabling technologies allowing computation to be performed at the edge of the network, on downstream data on behalf of cloud services and upstream data on behalf of IoT services. Here we define “edge” as any computing and network resources along the path between data sources and cloud data centers. For example, a smart phone is the edge between body things and cloud, a gateway in a smart home is the edge between home things and cloud, a micro data center and a cloudlet is the edge between a mobile device and cloud. The rationale of edge computing is that computing should happen at the proximity of data sources. From our point of view, edge computing is interchangeable with fog computing, but edge computing focus more toward the things side, while fog computing focus more on the infrastructure side. Edge computing could have as big an impact on our society as has the cloud computing.
Edge Computing often misquoted, misrepresented, and misunderstood. In this presentation, I tried to demystify what the Edge Computing is and what role the edge computing plays in the Connected World.
Edge computing is redefining the cloud computing space. The growing de-emphasis on the cloud’s role in connected environments is expected to lead to smarter and faster autonomous solutions that have the potential to reshape the IoT landscape. Edge computing will transform the IoT landscape into a hyperconnected environment where the restrictions related to latency and computation capacity will be eliminated. Many companies are transforming their business models to attain edge computing capabilities necessary for offering end to end services.
The recent years have witnessed a number of mergers and acquisitions in the edge computing space for IoT services, with the increase in M&A activities representing the industry’s conundrum of cloud, edge, and hybrid architectures, and the race to achieve a considerable market share.
This report includes an analysis of approximately 60 deals, along with a detailed technology overview and the purpose of the acquisitions. The M&A analysis section offers a comprehensive view of the transactions around edge computing, covering different technology aspects including data center, AI, security, software-defined WAN (SD-WAN), analytics, interoperability, multi-access edge computing (MEC), and others.
To purchase the full report, write to us at info@netscribes.com
Edge Computing: An Extension to Cloud ComputingRamneek Kalra
This presentation was shared by Shally Gupta (PhD Research Scholar | IEEE Graduate Member) & Ramneek Kalra (IEEE Impact Creator) at IEEE MRU Student Branch, Faridabad, Haryana, India.
Edge computing allows data produced by internet of things (IoT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds.
Doing this computing closer to the edge of the network lets organizations analyze important data in near real-time – a need of organizations across many industries, including manufacturing, health care, telecommunications and finance.Edge computing deployments are ideal in a variety of circumstances. One is when IoT devices have poor connectivity and it’s not efficient for IoT devices to be constantly connected to a central cloud.
Other use cases have to do with latency-sensitive processing of information. Edge computing reduces latency because data does not have to traverse over a network to a data center or cloud for processing. This is ideal for situations where latencies of milliseconds can be untenable, such as in financial services or manufacturing.
Through this presentation, you will get to know about Edge computing and explore the fields where it is needed.
You can start exploring the technical knowledge by seeing what industries are working on now-days
Edge computing is a method of enabling small processing units near to the source of the data from sensors and central data servers. It utilizes cloud computing systems by performing data processing at the edge of the network, near the source of the data. This reduces the communications bandwidth needed between sensors by performing analytics and data processing.
THE ROLE OF EDGE COMPUTING IN INTERNET OF THINGSsuthi
Edge computing refers to the enabling technologies allowing computation to be performed at the edge of the network, on downstream data on behalf of cloud services and upstream data on behalf of IoT services. Here we define “edge” as any computing and network resources along the path between data sources and cloud data centers. For example, a smart phone is the edge between body things and cloud, a gateway in a smart home is the edge between home things and cloud, a micro data center and a cloudlet is the edge between a mobile device and cloud. The rationale of edge computing is that computing should happen at the proximity of data sources. From our point of view, edge computing is interchangeable with fog computing, but edge computing focus more toward the things side, while fog computing focus more on the infrastructure side. Edge computing could have as big an impact on our society as has the cloud computing.
Five Trends in IoT and Edge Computing to Track in 2019Tyrone Systems
It is that time of the year – to call out predictions and trends for the year. The two hot areas that are enabling digital transformation across all industry verticals are IoT and edge computing. Let us look at what to expect in 2019 and beyond for IoT. In this post, I am going to focus only on the B2B IoT space and not on the consumer IoT side.
Edge computing is becoming a key architectural component for industrial IoT deployments. Gartner Group identifies edge computing as one of their top Tech Trends for 2019. The opportunity to process data at the edge of the network, closer to the sensors and actuators, before data is sent to the cloud results in improved security, more efficient data movement, and better performance for industrial IoT use cases.
This presentation will explore three aspects of edge computing:
The benefits of edge computing for industrial IoT use cases
The key features delivered in edge computing solutions
A survey of different edge computing options available to customers.
Edge IoT is a technology Witekio believes in. It is now reaching an inflexion point. The need for responsiveness, local computing capacity (especially for data crunching, AI and machine learning), security, IoT bandwidth makes this«trend » relevant to face B2B and industrial challenges.
How Edge Computing Works | What is Edge Computing | Edge Computing Benefits |...Intellipaat
In this video on Edge Computing, you will learn what is edge computing, the Origin of edge computing, how edge computing works, edge computing benefits, and a lot more interesting concepts.
Edge computing is a method of optimizing cloud computing systems by performing data processing at the edge of the network, near the source of the data[1]. This reduces the communications bandwidth needed between sensors and the central datacenter by performing analytics and knowledge generation at or near the source of the data.
Technology & Policy Interaction Panel at Inform[ED] IoT SecurityCableLabs
As IoT insecurity creates vulnerabilities, policymakers become concerned about the health of the Internet. How can public policy address these concerns in a smart way, targeting their efforts to improve IoT security without imposing unnecessary costs across the Internet ecosystem or creating unintended effects? What is the role of government versus industry?
Rob Alderfer, Moderator
Vice President Technology Policy, CableLabs
Gerald Faulhaber
Professor Emeritus, Business Economics & Public Policy, Wharton School
Chaz Lever
Lead Reseacher, Georgia Tech
Jason Livingood
Vice President, Technology Policy & Standards, Comcast
The Industrial Internet is an internet of - things, machines, computers and people, enabling intelligent industrial operations using advanced data analytics for transformational business outcomes.
Industrial domain is expected to be largest consumer of IoT devices and systems in terms of value
Edge computing is a method of enabling small processing units near to the source of the data from sensors and central data servers. It utilizes cloud computing systems by performing data processing at the edge of the network, near the source of the data. This reduces the communications bandwidth needed between sensors by performing analytics and data processing.
THE ROLE OF EDGE COMPUTING IN INTERNET OF THINGSsuthi
Edge computing refers to the enabling technologies allowing computation to be performed at the edge of the network, on downstream data on behalf of cloud services and upstream data on behalf of IoT services. Here we define “edge” as any computing and network resources along the path between data sources and cloud data centers. For example, a smart phone is the edge between body things and cloud, a gateway in a smart home is the edge between home things and cloud, a micro data center and a cloudlet is the edge between a mobile device and cloud. The rationale of edge computing is that computing should happen at the proximity of data sources. From our point of view, edge computing is interchangeable with fog computing, but edge computing focus more toward the things side, while fog computing focus more on the infrastructure side. Edge computing could have as big an impact on our society as has the cloud computing.
Five Trends in IoT and Edge Computing to Track in 2019Tyrone Systems
It is that time of the year – to call out predictions and trends for the year. The two hot areas that are enabling digital transformation across all industry verticals are IoT and edge computing. Let us look at what to expect in 2019 and beyond for IoT. In this post, I am going to focus only on the B2B IoT space and not on the consumer IoT side.
Edge computing is becoming a key architectural component for industrial IoT deployments. Gartner Group identifies edge computing as one of their top Tech Trends for 2019. The opportunity to process data at the edge of the network, closer to the sensors and actuators, before data is sent to the cloud results in improved security, more efficient data movement, and better performance for industrial IoT use cases.
This presentation will explore three aspects of edge computing:
The benefits of edge computing for industrial IoT use cases
The key features delivered in edge computing solutions
A survey of different edge computing options available to customers.
Edge IoT is a technology Witekio believes in. It is now reaching an inflexion point. The need for responsiveness, local computing capacity (especially for data crunching, AI and machine learning), security, IoT bandwidth makes this«trend » relevant to face B2B and industrial challenges.
How Edge Computing Works | What is Edge Computing | Edge Computing Benefits |...Intellipaat
In this video on Edge Computing, you will learn what is edge computing, the Origin of edge computing, how edge computing works, edge computing benefits, and a lot more interesting concepts.
Edge computing is a method of optimizing cloud computing systems by performing data processing at the edge of the network, near the source of the data[1]. This reduces the communications bandwidth needed between sensors and the central datacenter by performing analytics and knowledge generation at or near the source of the data.
Technology & Policy Interaction Panel at Inform[ED] IoT SecurityCableLabs
As IoT insecurity creates vulnerabilities, policymakers become concerned about the health of the Internet. How can public policy address these concerns in a smart way, targeting their efforts to improve IoT security without imposing unnecessary costs across the Internet ecosystem or creating unintended effects? What is the role of government versus industry?
Rob Alderfer, Moderator
Vice President Technology Policy, CableLabs
Gerald Faulhaber
Professor Emeritus, Business Economics & Public Policy, Wharton School
Chaz Lever
Lead Reseacher, Georgia Tech
Jason Livingood
Vice President, Technology Policy & Standards, Comcast
The Industrial Internet is an internet of - things, machines, computers and people, enabling intelligent industrial operations using advanced data analytics for transformational business outcomes.
Industrial domain is expected to be largest consumer of IoT devices and systems in terms of value
This session provides some insights on the importance of end-to-end security for the adoption, development, and scalability of IoT solutions. The session also gives light on the trade-offs companies need to make in order to build a secure IoT platform, while ensuring the necessary levels of innovation and agile developments are in place. The session then closes by showing how the AWS Cloud can support systems integrators and businesses in achieving the desired security posture.
AEE Cybersecurity for the IOT in Facility Energy Distribution SlidesAndy Taylor
APT saw the new CA state law SB-327 requiring CyberSecurity for all Internet-connected devices coming for 2020 and started to prepare for it after it passed in late 2018. Though the bill does not require protection of existing infrastructure, we believe customers will want to address the CyberSecurity concerns with the purchase of ANY new electrical meter, gateway, trip unit, relay, or connected electrical device. Our strategy includes new components and new services for a complete solution.
APT has focused on upgrading two (2) certified secure components to the customer’s network:
1.Secure Serial to Ethernet gateways.
2.Secure Ethernet switches.
APT has focused on providing on-site services for each customer to comply with the requirements of SB-327 of every connected electrical device. These services include:
1.Assessment of customer’s electrically connected devices, networks, and infrastructure.
2.Installation of new secure Serial to Ethernet gateways and secure Ethernet switches at strategic locations at the customer’s site.
3.Procedures for the physical change of each device’s default password.
4.Compliance stickers for the devices that have been secured.
Marcellus Buchheit (Wibu-Systems) and Terrence Barr (Electric Imp) talk about how to secure IIoT endpoints, why they are so vital to secure, and how the Industrial Internet Security Framework (IISF) can help. This talk was given during a webinar as part of the #IICSeries, a continuous series of webinars on the industrial internet hosted by the Industrial Internet Consortium.
Presentation during the Inaugural IEEE Smart Grid Cybersecurity Workshop (http://sites.ieee.org/ucw/). The talk was in Session 1: Overview of the Security Situation/Risk Managment. The presentation identifies 5 hurdles that need to be addressed before we can secure the grid. Other presentations from the event are available for download at the IEEE Smart Grid Resource Center http://resourcecenter.smartgrid.ieee.org/category/conferences/-/society-featured-articles/subcategory/913483
IoT Solutions for Smart Energy Smart Grid and Smart Utility ApplicationsEurotech
Smart Energy Smart Grid and Smart Infrastructure - Many Applications and Devices
An introduction to Eurotech' s IoT Field-to-Application Building Blocks for the Energy and Utility Industry
Interop 2006: Evolution of the Networking IndustryAbner Germanow
This was a presentation from 2006 where (starting on slide 30) I described how the way consumer networking vendors built their products would ultimately upend the way enterprise vendors built products. Today, the hype around SDN, commodity switching products, and linux based network operating systems is making much of this come true.
This presentation was first given in May 2006 at the Interop trade show.
Slide 30, is where I talked about how the networking market would split from vertically organized vendors to horizontally specialized vendors. I predicted this transition would take 10 years.
At the time, the use of merchant silicon in datacenter and enterprise switching products was a rarity. Today, it is common. Then linux derivative network OSes were limited to consumer products, today they are taking over large scale cloud datacenters.
The networking market hasn’t come as far as I expected in 10 years, but it’s pretty cool much of this either came true or is on the cusp of coming true. Much more change is under way.
From IT to IoT: Bridging the Growing Cybersecurity DividePriyanka Aash
With the widespread growth of IOT devices and services, security is a priority. This session will discuss the challenges of implementing security solutions for IoT services for security professionals who are looking at things from an IT viewpoint. Traditional IT security solutions may not be directly applicable to the IoT ecosystem. New IoT specific threats and challenges need to be addressed.
Learning Objectives:
1: Learn about the top IoT threats.
2: Discover how to address threats using new design process not old IT process.
3: Understand the security lifecycle differences between IT and IoT.
(Source: RSA Conference USA 2018)
IoT Standardization and Implementation ChallengesAhmed Banafa
The rapid evolution of the IoT market has caused an explosion in the number and variety of IoT solutions.
Additionally, large amounts of funding are being deployed at IoT startups.
Consequently, the focus of the industry has been on manufacturing and producing the right types of hardware to enable those solutions.
IIoT Endpoint Security – The Model in Practiceteam-WIBU
What is your first line of defense against cyberattacks? Secure endpoints! Endpoints are everywhere in the IIoT landscape. Without proper security, Industrial Internet of Things (IIoT) systems are not trustworthy, putting organizations, their missions and the greater public at increased risk. The viability of the IIoT depends on proper implementation of security to counter the growing and ever changing threats that are emerging.
Addressing this challenge is critical to the success of the Industrial IoT, Industrie 4.0 and the Industrial Internet revolution. To that end, Industrial Internet Consortium members have developed a common security framework and an approach to assess cybersecurity in Industrial Internet of Things systems: The Industrial Internet Security Framework (IISF).
Watch the webinar: https://youtu.be/t0GC4Fp-NXQ
This presentation is to provide details on
- what is IoT
- the kind of career opportunities it provides, and
- the kind of skill set is required to be an expert.
IEEE P1931.1 is an upcoming IEEE standard that defines an architectural framework, protocols and Application Programming Interfaces (APIs) for providing Real-time Onsite Operations Facilitation (ROOF). ROOF computing and networking for the data and the devices include next-hop connectivity for the devices, real-time context building and decision triggers, efficient backhaul connectivity to the cloud, and security & privacy.
Embracing the VUCA: Understanding the nature of VUCA in the Universe, and how to manage it by using wisdom, measuring present, building context and innovation to live under low entropy social system.
Water Distribution Management - A Design by High School KidsSyam Madanapalli
This summer (2018), I taught IoT for kids. Based on this, the kids designed few solutions for the real world problems. Here is a a presentation by these kids that describes the solution for Water Distribution Management for detecting pipe bursts and water contamination by applying IoT. These kids can now put up a solution for every problem using the Internet of Things.
This summer (2018), I taught IoT for kids (6ht to 10th grade). Based on this, the kids designed few solutions for the real world problems. Here is a a presentation by these kids that describes the solution for Child Safety by applying IoT. These kids can now put up a solution for every problem using the Internet of Things.
Securing the IoT is complex given that the the devices are constrained and applications are deployed to work with the physical world. In this, presentation, I have proposed a set of design guidelines for securing the IoT Applications
Most of the developing nations have experienced slavery and doing services for other lands, and have not experienced the Services for themselves. Here is a presentation that I used to speak about 'Realizing the Potential of a Connected World' at Indian Technology Congress 2017, especially for the developing countries.
However, the presentation itself is not specific to the developing countries except a couple of slides.
The Impact of IoT on Cloud Computing, Big Data & AnalyticsSyam Madanapalli
IoT Applications are different from typical enterprise applications; and most of the companies are hijacking what the IoT is depending on the what products/solutions they offer. I put up my point of view on how the IoT impacts the traditional Cloud Computing and Big Data Analytics. The takeaway from this presentation is IoT requires realtime computing as the data moves from the physical world to the cyber world (Cloud) to take actions at spatiotemporal location.
Building Smart Cities with Everything as a ServiceSyam Madanapalli
A proposal for building Smart Cities with Everything as a Service that allows availability, innovation, participation across the ecosystem including the citizens for building future proof Smart Cities.
Building smart cities require unprecedented partnerships between the government and private sector. To build a scalable, sustainable and innovative smart city applications, an open platform is required, wherein Everything is a Service (Everything as a Service).
This presentation covers one way of implementing the smart cities that provides equal opportunity for startups and SMEs to provide innovative applications and services for the smart cities.
This presentation helps high school students to get a firm basic understanding of the Internet of Things (IoT). Igniting innovation is central to this presentation.
This talk was delivered to students at Visvesvaraya Industrial and Technological Museum (VITM), Bangalore on Sep 15th 2015, the Engineer’s Day in India. The event is organized by VITM and IEEE Bangalore Chapter.
Internet of Things is not a new thing, we have been doing this for centuries. An example is time. Time (in simplest terms) represent the state of the Earth giving its position in the solar system.
The time evolved from observation (sundial), measurement, use of electricity and use of the Internet (Apple watch) and created use huge device business, caused the industrial revolution and advanced the civilization.
Given the advancement in the technology, IoT can bring hundreds if not thousands of state information on the Earth to the people and businesses. This would cause the next industrial revolution and potentially advances the civilization in short time. This makes IoT either a threat or a cash cow for businesses.
This presentation is my keynote at the Keysight Technologies KMI 2015.
Internet of Things, Innovation and India by Syam MadanapalliSyam Madanapalli
The presentation defines the Internet of Things for a layman and he/she should be able to relate the IoT in his/her daily life. The presentation also covers how to deploy IoT services and how to innovate for developing new use cases and applications. And additionally the presentation provides few considerations for building new IoT product/solution.
How to Build an IoT Startup - Syam @IEEE TENSYMP 2015Syam Madanapalli
A brief on how we started iRam and the lessons that I learnt. The presentation provides few considerations to help in building IoT Startups especially in India.
India, Internet of things and the role of governmentSyam Madanapalli
IoT provides an opportunity for India to technicalize the citizen services for bettering their living standards. Here are my thoughts on the Role of Indian Government towards the Internet of Things.
This presentation is prepared for a brainstorming session at Department of Information Technology (DIT), a division of Ministry of Communication & IT, India.
Smart Grid a greenfield application for IPv6, hence the Internet. Presented at IISc, Bangalore as part of TEC and IPv6 Forum Workshop on Greenfield Applications for Transition to IPV6 in India.
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
# Internet Security: Safeguarding Your Digital World
In the contemporary digital age, the internet is a cornerstone of our daily lives. It connects us to vast amounts of information, provides platforms for communication, enables commerce, and offers endless entertainment. However, with these conveniences come significant security challenges. Internet security is essential to protect our digital identities, sensitive data, and overall online experience. This comprehensive guide explores the multifaceted world of internet security, providing insights into its importance, common threats, and effective strategies to safeguard your digital world.
## Understanding Internet Security
Internet security encompasses the measures and protocols used to protect information, devices, and networks from unauthorized access, attacks, and damage. It involves a wide range of practices designed to safeguard data confidentiality, integrity, and availability. Effective internet security is crucial for individuals, businesses, and governments alike, as cyber threats continue to evolve in complexity and scale.
### Key Components of Internet Security
1. **Confidentiality**: Ensuring that information is accessible only to those authorized to access it.
2. **Integrity**: Protecting information from being altered or tampered with by unauthorized parties.
3. **Availability**: Ensuring that authorized users have reliable access to information and resources when needed.
## Common Internet Security Threats
Cyber threats are numerous and constantly evolving. Understanding these threats is the first step in protecting against them. Some of the most common internet security threats include:
### Malware
Malware, or malicious software, is designed to harm, exploit, or otherwise compromise a device, network, or service. Common types of malware include:
- **Viruses**: Programs that attach themselves to legitimate software and replicate, spreading to other programs and files.
- **Worms**: Standalone malware that replicates itself to spread to other computers.
- **Trojan Horses**: Malicious software disguised as legitimate software.
- **Ransomware**: Malware that encrypts a user's files and demands a ransom for the decryption key.
- **Spyware**: Software that secretly monitors and collects user information.
### Phishing
Phishing is a social engineering attack that aims to steal sensitive information such as usernames, passwords, and credit card details. Attackers often masquerade as trusted entities in email or other communication channels, tricking victims into providing their information.
### Man-in-the-Middle (MitM) Attacks
MitM attacks occur when an attacker intercepts and potentially alters communication between two parties without their knowledge. This can lead to the unauthorized acquisition of sensitive information.
### Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) Attacks
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
guildmasters guide to ravnica Dungeons & Dragons 5...
IoT Security Assessment - IEEE PAR Proposal
1. Syam Madanapalli | Chair IEEE P1931.1 - The Roof Computing | June 27, 2020
IoT Security Assessment Framework
A data driven approach for the businesses
1
2. Complex & uncomprehended
The businesses should know
• What they are deploying
• A checklist for a calculated risk
• Potential attack surface
• Risk vs bene
fi
ts
IoT Security
Constrained
Devices
Big Scale
Tech Illiterates
Lack of UI, challenging to
design & con
fi
gure,
update, and prone to
errors
Applications & devices
are personal, and
involves humans &
physical world
Variety of devices,
protocols, &
applications
Big Impact
Safety & economic
risks, loss of
privacy and
business
interruptions
2
3. Typical IoT Network Segments
Typical networking technologies and corresponding security protocols
3
Cloud
PAN WAN
LAN Internet
IPSec Tunnel IPSec Tunnel
WiFi/
Ethernet
BB/LTE/MPLS
BLE,
802.15.4,
WiFi
SSP
Edge Router Apps
OTAE
CoAP/UDP/DTLS/IPv6
4. IoT Security Assessment Framework
The proposal
The assessment framework standard will
provide
• A way for the industry to assess IoT
applications consisting of IoT devices and
Edge
• A checklist for devices and edge
• Necessary and su
ffi
cient conditions
• A scoring mechanisms
• Enable decision making
• Data driven analytics for security assessment
A set guidelines for the
device vendors and
application developers
A method for evaluating the
IoT applications for security
needs
Self assessment/IEEE
certi
fi
cation
4
5. Existing/Ongoing Standards/Work ...
@IEEE-SA
• Healthcare Device Security Assurance Working Group (EMB/Stds Com/
HDSecWG)
• Standard for Wireless Diabetes Device Security Assurance: Product
Security Evaluation Program
• This standard de
fi
nes a framework for a connected electronic product
security evaluation program
P2621.1
P2733
• Clinical IoT Data and Device Interoperability with TIPPSS (EMB/Stds Com/
Clinical IoT DDI with TIPPSS)
• Standard for Clinical Internet of Things (IoT) Data and Device
Interoperability with TIPPSS - Trust, Identity, Privacy, Protection, Safety,
Security
• This standard establishes the framework with TIPPSS principles (Trust,
Identity, Privacy, Protection, Safety, Security) for Clinical Internet of Things
(IoT) data and device validation and interoperability.
5
6. Existing/Ongoing Standards/Work
Outside IEEE
• GSMA IoT Security Guidelines and Assessment
• Provides recommendations for the secure design, development and
deployment of IoT services
• OneM2M, IoT Alliance Australia, Trusted Connectivity Alliance
GSMA
IoTSF
• IoT Security Foundation - A not-for-pro
fi
t organization
• Provides advice and framework for IoT Security
• Has over 100 members, including ARM, NXP, Microchip, Samsung,
Vodafone, Qualcomm
6
ETSI EN 303 645
• IoT Security requirements for Consumer Devices
• Under development
• A potential candidate to collaborate
7. Other Established Standards/Compliance Guidelines
These will in
fl
uence the development of any new security standards
Information technology — Security techniques — Evaluation
criteria for IT security
ISO/IEC 15408
GDPR
Regulation on the protection of natural persons with regard to
the processing of personal data and on the free movement of
such data, and repealing Directive 95/46/EC (Data Protection
Directive)
HIPAA
The Health Insurance Portability and Accountability Act of
1996
PCI DSS Payment Card Industry Data Security Standard
7
IEEE Standard for an Architectural Framework for the Internet
of Things
IEEE 2413
8. IoT Security Requirements
The capabilities of the end devices should be considered for security assessment
Characteristic Class 0 Class 1 Class 2
RAM, ROM < 10KB, 100KB ~ 10KB, 100KB ~ 50KB, 250KB
Internet No IP CoAP IPv6, HIP
Cryptography Over the air
Symmetric
cryptography
PKI based
Protection One level up
Assisted at one level
up
Self and services at
one level up
Interface IoT Services
Security Provisioning
and Services
Security Services
Applications
Only for trusted
environments
Battery powered
under the Roof
Mains powered &
standalone devices
8
9. The Need for a New Standard
Data driven; Easy to understand and to be used by Business users
• Training, scaling, reducing costs and making
IoT deployments more secure
• Device capabilities based approach
• De
fi
ning Necessary and Su
ffi
cient conditions
• Scoring/grading mechanism
• Easy to interpret checklist and summary for
for weighing risk vs. bene
fi
ts and decision
making
• Data driven approach (applying ML/AI for
assessment)
• Self assessment/IEEE certi
fi
cation
9
11. Broad Market Potential
A standards project authorized by IEEE 802 shall have a broad market potential. Speci
fi
cally, it
shall have the potential for:
11
• Broad sets of applicability
• IoT being adopted almost all business sectors, including residential and government
use. And security and privacy is the number one concern while considering an IoT
application. Hence the output of this project will have broad set of applicability.
• Multiple vendors and numerous users
• The number of devices that would be connected to the Internet is estimated to be in
tens of billions in the near future.
• Balanced costs (LAN versus attached stations)
• This project reduces the cost of IoT applications deployment by providing a repeatable
approach for security assessment and reduces the need for special skilled personnel.
12. Compatibility
IEEE 802 LMSC de
fi
nes a family of standards. All standards should be in conformance: IEEE Std
802, IEEE 802.1D, and IEEE 802.1Q. If any variances in conformance emerge, they shall be
thoroughly disclosed and reviewed with IEEE 802.1 Working Group. In order to demonstrate
compatibility with this criterion, the Five Criteria statement must answer the following questions.
12
A. Does the PAR mandate that the standard shall comply with IEEE Std 802,
IEEE Std 802.1D and IEEE Std 802.1Q?
• No. However, the standard would use the IEEE 802 standards.
B. If not, how will the Working Group ensure that the resulting draft standard is
compliant, or if not, receives appropriate review from the IEEE 802.1 Working
Group?
• Not applicable.
13. Distinct Identity
Each IEEE 802 standard shall have a distinct identity. To achieve this, each authorized project
shall be:
13
• Substantially di
ff
erent from other IEEE 802 standards
• This standard is not related to IEEE 802 standards.
• One unique solution per problem (not two solutions to a problem)
• There is no standard within IEEE that provides this capability.
• Easy for the document reader to select the relevant speci
fi
cation
• Yes, this project will de
fi
ne an assessment framework for deploying IoT
applications based on best practices for security and privacy.
14. Technical Feasibility
For a project to be authorized, it shall be able to show its technical feasibility. At a minimum, the
proposed project shall show:
14
• Demonstrated system feasibility
• Security assessment is typically prerequisite for any connected applications in the enterprise,
however the approach is proprietary.
• Proven technology, reasonable testing
• Not applicable.
• Con
fi
dence in reliability
• This standard will not reduce any existing system reliability.
• Coexistence of IEEE 802 LMSC wireless standards specifying devices for unlicensed operation.
• Not applicable.
15. Economic Feasibility
For a project to be authorized, it shall be able to show economic feasibility (so far as can
reasonably be estimated) for its intended applications. At a minimum, the proposed project shall
show:
15
• Known cost factors, reliable data
• This project will not introduce any new costs, rather will help in reducing
the cost of connected application deployment and maintenance.
• Reasonable cost for performance
• The benefit of security assessment will outweigh the cost of
assessment.
• Consideration of installation costs
• Not applicable.