Professor Betty Cheng, Department of Computer Science and Engineering at Michigan State University, presents her latest research and collaboration opportunities at the Cybersecurity Interdisciplinary Forum on Feb. 5. 2016.
Dr. Cheng is also affiliated with:
Software Engineering and Network Systems Lab
Digital Evolution Laboratory
BEACON: NSF Center for Evolution in Action
chengb@cse.msu.edu
http://www.cse.msu.edu/~chengb
How does cybersecurity relate to safety?
Betty H.C. Cheng,
February 5, 2016
Software Engineering and Network Systems Lab Digital Evolution Laboratory
BEACON: NSF Center for Evolution in Action Department of Computer Science and Engineering Michigan State University
chengb at cse dot msu dot edu http://www.cse.msu.edu/~chengb
International Journal of Advanced Smart Sensor Network Systems ( IJASSN )ijassn
Authors are invited to submit papers for this journal through e-mail ijassn@aircconline.com.Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
How does cybersecurity relate to safety?
Betty H.C. Cheng,
February 5, 2016
Software Engineering and Network Systems Lab Digital Evolution Laboratory
BEACON: NSF Center for Evolution in Action Department of Computer Science and Engineering Michigan State University
chengb at cse dot msu dot edu http://www.cse.msu.edu/~chengb
International Journal of Advanced Smart Sensor Network Systems ( IJASSN )ijassn
Authors are invited to submit papers for this journal through e-mail ijassn@aircconline.com.Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
This paper is devoted to the crowd sensing applications. Crowd sensing (mobile crowd sensing in our case) is a new sensing paradigm based on the power of the crowd with the sensing capabilities of mobile devices, such as smartphones or wearable devices. This power is based on the smartphones, usually equipped with multiple sensors. So, it enables to collect local information from the individual’s surrounding environment with the help of sensing features of the mobile devices. In this paper, we provide the review of the back-end systems (data stores, etc.) for mobile crowd sensing systems. The main goal of this review is to propose the software architecture for mobile crowd sensing in Smart City environment. We discuss also the deployment of cloud-back-ends in Russia.
In this paper, we present the review of existing and proposed
programming models for Internet of Things (IoT) applications. The requests by the economy and the development of computer technologies (e.g., cloud-based models) have led to an increase in large-scale projects in the IoT area. The large-scale IoT systems should be able to integrate diverse types of IoT devices and support big data analytics. And, of course, they should be developed and updated at a reasonable cost and within a reasonable time. Due to the complexity, scale, and diversity of IoT systems, programming for IoT applications is a great challenge. And this challenge requires programming models and development systems at all stages of development and for all aspects of IoT development. The rst target for this review is a set of existing and future educational programs in information and communication technologies at universities,
which, obviously, must somehow respond to the demands of the development of IoT systems.
The Physical Web is a generic term describes interconnection of physical objects and web. The Physical Web lets present physical objects in a web. There are different ways to do that and we will discuss them in our paper. Usually, the web presentation for a physical object could be implemented with the help of mobile devices. The basic idea behind the Physical Web is to navigate and control physical objects in the world surrounding mobile devices with the help of web technologies. Of course, there are different ways to identify and enumerate physical objects. In this paper, we describe the existing models as well as related challenges. In our analysis, we will target objects enumeration and navigation as well as data retrieving and programming for the Physical Web
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Scaling Approaches to the National Research PlatformJerry Sheehan
Overview of how Montana State has engaged with the National Research Platform using limited staff and financial resources to achieve exponential benefit. Presented at Consortium for Educational Networking in California (CENIC) annual meeting in March of 2018
Developing Web-Enabled Considering Decision Support System for Staff Dormitor...Chingchai Humhong
ระบบสืบค้นเชิงพื้นที่สำหรับสนับสนุนการพิจารณาสิทธิ์การขอหอพักบุคลากรของมหาวิทยาลัยนเรศวร (Developing Web-Enabled Considering Decision Support System for Staff Dormitory Service in Naresuan University using pgRouting)
- ประชุมทางวิชาการ “สารสนเทศภูมิศาสตร์นเรศวร” ครั้งที่ 4 วันที่ 31 ตุลาคม พ.ศ. 2557
Participatory 3-Dimensional Mapping (P3DM) for Disaster Risk ReductionGiacomo Rambaldi
In this presentation the authors share their experience in the Philippines in making use of Participatory 3-Dimensional Mapping (P3DM) for Disaster Risk Reduction
This paper is devoted to the crowd sensing applications. Crowd sensing (mobile crowd sensing in our case) is a new sensing paradigm based on the power of the crowd with the sensing capabilities of mobile devices, such as smartphones or wearable devices. This power is based on the smartphones, usually equipped with multiple sensors. So, it enables to collect local information from the individual’s surrounding environment with the help of sensing features of the mobile devices. In this paper, we provide the review of the back-end systems (data stores, etc.) for mobile crowd sensing systems. The main goal of this review is to propose the software architecture for mobile crowd sensing in Smart City environment. We discuss also the deployment of cloud-back-ends in Russia.
In this paper, we present the review of existing and proposed
programming models for Internet of Things (IoT) applications. The requests by the economy and the development of computer technologies (e.g., cloud-based models) have led to an increase in large-scale projects in the IoT area. The large-scale IoT systems should be able to integrate diverse types of IoT devices and support big data analytics. And, of course, they should be developed and updated at a reasonable cost and within a reasonable time. Due to the complexity, scale, and diversity of IoT systems, programming for IoT applications is a great challenge. And this challenge requires programming models and development systems at all stages of development and for all aspects of IoT development. The rst target for this review is a set of existing and future educational programs in information and communication technologies at universities,
which, obviously, must somehow respond to the demands of the development of IoT systems.
The Physical Web is a generic term describes interconnection of physical objects and web. The Physical Web lets present physical objects in a web. There are different ways to do that and we will discuss them in our paper. Usually, the web presentation for a physical object could be implemented with the help of mobile devices. The basic idea behind the Physical Web is to navigate and control physical objects in the world surrounding mobile devices with the help of web technologies. Of course, there are different ways to identify and enumerate physical objects. In this paper, we describe the existing models as well as related challenges. In our analysis, we will target objects enumeration and navigation as well as data retrieving and programming for the Physical Web
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Scaling Approaches to the National Research PlatformJerry Sheehan
Overview of how Montana State has engaged with the National Research Platform using limited staff and financial resources to achieve exponential benefit. Presented at Consortium for Educational Networking in California (CENIC) annual meeting in March of 2018
Developing Web-Enabled Considering Decision Support System for Staff Dormitor...Chingchai Humhong
ระบบสืบค้นเชิงพื้นที่สำหรับสนับสนุนการพิจารณาสิทธิ์การขอหอพักบุคลากรของมหาวิทยาลัยนเรศวร (Developing Web-Enabled Considering Decision Support System for Staff Dormitory Service in Naresuan University using pgRouting)
- ประชุมทางวิชาการ “สารสนเทศภูมิศาสตร์นเรศวร” ครั้งที่ 4 วันที่ 31 ตุลาคม พ.ศ. 2557
Participatory 3-Dimensional Mapping (P3DM) for Disaster Risk ReductionGiacomo Rambaldi
In this presentation the authors share their experience in the Philippines in making use of Participatory 3-Dimensional Mapping (P3DM) for Disaster Risk Reduction
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Montana State, Research Networking and the Outcomes from the First National R...Jerry Sheehan
Presentation at Educause 17 with our Partner Cisco on Research networking, covers our campus experience and the first National Research Platform Workshop findings
Many technical communities are vigorously pursuing
research topics that contribute to the Internet of Things (IoT).
Nowadays, as sensing, actuation, communication, and control become
even more sophisticated and ubiquitous, there is a significant
overlap in these communities, sometimes from slightly different
perspectives. More cooperation between communities is encouraged.
To provide a basis for discussing open research problems in
IoT, a vision for how IoT could change the world in the
distant future is first presented. Then, eight key research topics
are enumerated and research problems within these topics are
discussed.
Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks,
Fog computing is a term created by Cisco that refers to extending cloud computing to the edge of an enterprise's network.
Cisco introduced its fog computing vision in January 2014 as a way of bringing cloud computing capabilities to the edge of the network .
As the result, closer to the rapidly growing number of connected devices and applications that consume cloud services and generate increasingly massive amounts of data.
From turbine to toaster, the electrical grids are evolving. Increases in distributed generation, battery storage, advanced metering, and automation results in a growing dependency on computational and communication technology. With engineers and technicians historically focused only on the physical infrastructure, there is an increased need to bring that same focus and understanding to the grid’s supporting cyber infrastructure. By first examining the multitude of cyber threats, this talk explores the challenges, misconceptions, and barriers associated with protecting the modernized power grid.
Bruno Basso, of the department of Environmental Science at MSU, illustrates the important work pertaining to crop and corn data being used throughout a digital landscape.
Advanced Genome Engineering Services and Transgenic Model Generation
at MSU’s Transgenic and Genome Editing Facility
Huirong Xie, Elena Demireva, Nate Kauffman, Richard Neubig
Back to the Future: Plastics from Plants and Cars that Run on Electricity, presented by Thomas Gregory, owner/consultant for Borealis Technology Solutions at the Michigan State University Bioeconomy Institute on 10-12-16.
Arend Hintze, Department of Integrative Biology, Department of Computer Science and Engineering, and BEACON Center for the Study of Evolution in Action at Michigan State University, presents his computational analysis of evolutionary processes at the Michigan State University Bioeconomy Institute on 10-12-16.
Presentation by Michaela TerAvest, assistant professor of Biochemistry and Molecular Biology at Michigan State University, at the MSU Bioeconomy Institute in Holland, Mich., on Mar. 16, 2016.
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!
# 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
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.
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.
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.
1.Wireless Communication System_Wireless communication is a broad term that i...
How Does Cybersecurity Relate to Safety?
1. S oftware
E ngineering &
N etwork
S ystems Lab
How Does Cybersecurity
Relate to Safety?
Betty H.C. Cheng,
Software Engineering and Network Systems Lab
Digital Evolution Laboratory
BEACON: NSF Center for Evolution in Action
Department of Computer Science and Engineering
Michigan State University
chengb at cse dot msu dot edu
http://www.cse.msu.edu/~chengb
2. S oftware
E ngineering &
N etwork
S ystems Lab
IoT: Physical Cyberinfrastructure
•Network-
•Centric
•Battlefield
•Homeland Security
•Ecosystem Monitoring
•Disaster
•Relief
•Secure Information Systems•Digital Supply Chain
• Remote
• Safety-critical
• Real-time
• Privacy
• Adaptable
• All the above
• Wired
•Internet
5. S oftware
E ngineering &
N etwork
S ystems Lab
S oftware
E ngineering &
N etwork
S ystems LabThe ULS/IoT Ecosystem
• Key elements:
– Computing devices
– Business and organizational policies
– Environment (including people)
• Forces:
– Competition for resources
– Unexpected environmental changes
– Decentralized control
– Demand for assurance (safety and
security)
6. S oftware
E ngineering &
N etwork
S ystems Lab
Approach
• Key Cybersecurity Challenges:
– Prevention
– Detection
– Mitigation
• Competing Concerns:
• Safety
• Information Access (e.g., “Internet of Things”)
• Heterogeneity of Systems and Stakeholders
• Multi-Disciplinary Strategies:
– Leverage enabling technologies from other disciplines
(e.g., biology, AI, control, cognitive & social science, etc.)
– Collaborate with other disciplines for a more holistic,
systemic approach to address cybersecurity and safety.
6