Security Algorithms for Cloud Computing☆

Total Protection products, you get the premium antivirus, identity, and privacy protection you need for your PCs, Macs, smartphones, and tablets. Cloud Security Accelerate your business with visibility and control over data in the cloud. Our endpoint and mobile security solutions protect your end-user devices security Algorithms for Cloud Computing☆ threats, including viruses, phishing, malware, and other threats that target endpoints and users, and include leading-edge antivirus software and web security protection. Our network security solutions protect your network and its perimeter.

Our cloud security solutions provide advanced protection from online threats, whether you are using public, private, or hybrid cloud computing technologies. Jump to navigation Jump to search This article is about enterprise-level cloud data storage. For consumer-level file hosting services, see file hosting service. Cloud storage is a model of computer data storage in which the digital data is stored in logical pools. Cloud computing is believed to have been invented by Joseph Carl Robnett Licklider in the 1960s with his work on ARPANET to connect people and data from anywhere at any time. The storage was one of the first to be all web-based, and referenced in their commercials as, “you can think of our electronic meeting place as the cloud.

A high level architecture of cloud storage. This section may be too technical for most readers to understand. Please help improve it to make it understandable to non-experts, without removing the technical details. Cloud storage is based on highly virtualized infrastructure and is like broader cloud computing in terms of accessible interfaces, near-instant elasticity and scalability, multi-tenancy, and metered resources. Cloud storage typically refers to a hosted object storage service, but the term has broadened to include other types of data storage that are now available as a service, like block storage. Companies need only pay for the storage they actually use, typically an average of consumption during a month. This does not mean that cloud storage is less expensive, only that it incurs operating expenses rather than capital expenses.

Also at the vendor level they are dealing with higher levels of energy so they will be more equipped with managing it in order to keep their own costs down as well. Storage availability and data protection is intrinsic to object storage architecture, so depending on the application, the additional technology, effort and cost to add availability and protection can be eliminated. Storage maintenance tasks, such as purchasing additional storage capacity, are offloaded to the responsibility of a service provider. Cloud storage provides users with immediate access to a broad range of resources and applications hosted in the infrastructure of another organization via a web service interface. Cloud storage can be used for copying virtual machine images from the cloud to on-premises locations or to import a virtual machine image from an on-premises location to the cloud image library. In addition, cloud storage can be used to move virtual machine images between user accounts or between data centers. Cloud storage can be mapped as a local drive with the WebDAV protocol.

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Outsourcing data storage increases the attack surface area. When data has been distributed it is stored at more locations increasing the risk of unauthorized physical access to the data. For example, in cloud based architecture, data is replicated and moved frequently so the risk of unauthorized data recovery increases dramatically. Such as in the case of disposal of old equipment, reuse of drives, reallocation of storage space. The manner that data is replicated depends on the service level a customer chooses and on the service provided.

It increases the number of networks over which the data travels. Sometimes because of erroneous actions, faulty equipment, a bug and sometimes because of criminal intent. This risk applies to all types of storage and not only cloud storage. The risk of having data read during transmission can be mitigated through encryption technology. Encryption in transit protects data as it is being transmitted to and from the cloud service.

Security Algorithms for Cloud Computing☆

Companies are not permanent and the services and products they provide can change. Outsourcing data storage to another company needs careful investigation and nothing is ever certain. Contracts set in stone can be worthless when a company ceases to exist or its circumstances change. Be purchased by other larger companies. Be purchased by a company headquartered in or move to a country that negates compliance with export restrictions and thus necessitates a move.

Reliability and availability depends on wide area network availability and on the level of precautions taken by the service provider. Reliability should be based on hardware as well as various algorithms used. Its a given a multiplicity of data storage. Users with specific records-keeping requirements, such as public agencies that must retain electronic records according to statute, may encounter complications with using cloud computing and storage.

Cloud storage is a rich resource for both hackers and national security agencies. Because the cloud holds data from many different users and organizations, hackers see it as a very valuable target. Piracy and copyright infringement may be enabled by sites that permit filesharing. The legal aspect, from a regulatory compliance standpoint, is of concern when storing files domestically and especially internationally. Increase Your 100’s Storage with 128K from Compuserve”.

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Tech Time Warp of the Week”. On-premises private cloud storage description, characteristics, and options”. Data On-boarding in Federated Storage Clouds. Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing.

Security Algorithms for Cloud Computing☆

The usage and adoption of cloud computing by small and medium businesses”. 4 reasons why cloud and on-premises storage are different, but equally good for people data”. Key-Aggregate Cryptosystem for Scalable Data Sharing in Cloud Storage”. IEEE Transactions on Parallel and Distributed Systems. Transfer files from one onedrive account to another. Cloud’s worst-case scenario: What to do if your provider goes belly up”.

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Verizon gets ‘black eye’ in long cloud shutdown”. 2 DOD Records Management Program, Section 5. National Security Agency Pressed to Reveal Details on Google Deal”. Google Ditches Microsoft’s Windows Over Security Issues, Report Claims”.

A survey on security issues in service delivery models of cloud computing”. Journal of Network and Computer Applications. Read Them Online Along With Other People’s Uploads”. When Online File Storage Gets Legal: Regulatory Compliance”. 3-D motion, classes, methods, and functions. Contemporary topics vary addressing social, scientific, and ethical issues of information technology.

Introduces cyber security topics including hacking, social networking, privacy, cryptography, legal aspects, social implications, password management, digital forensics, computer networking, wireless security, and ethical issues. Focuses on various methods and techniques to address cyber security threats. Introduces programming concepts within social, mathematical, and technological context. A computer language used in engineering practice is used for instruction.

Transition from basic programming skills to a rigorous process of software development. Emphasizes connection between algorithmic thought and implementation. Introduces programming concepts within social, cultural, scientific, mathematical, and technological context. 7 in CSS 161, CSS 142, or CSE 142.

Fundamental concepts and techniques for analysis, design and implementation of computer programming. Supervised exploration of computing-related topic or concept. Exploration of computing research activities and processes as specified in a contract with a faculty member. Develop effective academic strategies for women in science, technology, engineering and mathematics. Explores the representation of women in STEM as they are portrayed in literature and film. Discusses issues if STEM and gender including: mentors and support groups, social issues, role models and stereotyping, and earning respect.

Exploration and discussion of issues related to the development, support, and usage of computing technology in today’s society. Topics vary each quarter but may include coverage of areas such as intellectual property rights, cybersecurity, privacy, freedom of speech, liability, ethics, social justice, diversity, and labor. Examination of the basic physics and chemistry underlying the design and manufacture of computer components. Introduction to the electronic structure of the solid state, the nature of p-n junctions, and basic transistor design. Aspects of materials and polymer science and photolithography employed in microchip manufacture. Examines current topics and issues associated with computing that are of broad relevance. Collaboration with community partners to develop computing education opportunities for K-12 students.

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Curriculum development and basic computing education environments. Prerequisite: Either CSS 143, which may be taken concurrently, or a minimum grade of 3. Explores the most effective methods of communication based on the common expectations for computing and other engineering professionals. Prerequisite: either ENGL 182, HCDE 231, or B CUSP 135.

Survey of computer systems concepts to provide context and understanding for teachers creating K-12 courseware. Includes issues, tradeoffs, and solutions of computer systems, including data structures, networks, databases, human computer interactions, software engineering, and cybersecurity. Includes methods and practices for securing information and information systems. Covers how vulnerabilities arise, recognizing evolving threats, and mitigating them. Explores the role of risk analysis, information privacy, accountability, and policy. Topics in intermediate mathematics as applied within the context of computer software application development. Topics chosen from the fields of intermediate calculus and finite mathematics.

Prepares students for deploying and operating secure systems on a heterogeneous distributed infrastructure. Covers cybersecurity principles, methods, and tools used to protect against and detect external and internal threats. Addresses ethical and professional issues for cybersecurity personnel. Assumes students have basic computer administration skills. 5 in either STMATH 124 or MATH 124.

Integrating mathematical principles with detailed instruction in computer programming. Explores mathematical reasoning and discrete structures through object-oriented programming. Includes algorithm analysis, basic abstract data types, and data structures. Develops competencies associated with problem-solving, algorithms, and computational models.

Covers abstract data types and data structures, efficiency of algorithms, binary tree representations and traversals, searching, dictionaries, priority queues, hashing, directed graphs and graph algorithms, and language grammars. 0 in either STMATH 125 or MATH 125. Through a team software project, explores critical interpersonal, communication, leadership, decision-making, social, and cultural theories drawn from contemporary research in anthropology, sociology, psychology, and business. Surveys the software engineering processes, tools, and techniques used in software development and quality assurance. Topics include life-cycle models, process modeling, requirements analysis and specification techniques, quality assurance techniques, verification and validation, testing, project planning, and management. Methods and tools to capture and communicate requirements, proposed solutions, and design to management, customers, and software developers.

Incorporates social, psychological, and ethical issues. Offered: jointly with B EE 371. Students develop a working knowledge of computational tools to analyze biological datasets, including DNA and protein sequence databases. Offered: jointly with B BIO 383. Examines current topics and issues associated with computing and software systems.

Security Algorithms for Cloud Computing☆

About MIOTA

Elective internship project as delineated in a contract between student, faculty advisor, and community sponsor. Develops effective academic strategies for women in science, technology, engineering and mathematics. Discusses issues of STEM and gender including: earning respect, work-life balance, social issues, connection and networks, job hunting and technical interviews. In depth investigation of economical, political, organizational, and societal ramifications of using computing technology. Evaluates current policy approaches, determines trends, and proposes changes.

Prerequisite: either CSS 310, INFO 310, or T INFO 310. An introduction to the architecture of modern microprocessors and operating systems. Examines the basic theories and concepts of how hardware and software cooperatively interact to accomplish real-world tasks. Prerequisite: CSS 342, or CSS 340.

An introduction to the architecture, operation, and organization of a modern computing machine. Topics covered include basic logic operations, state-machines, register models, memory organization, peripherals, and system issues. Assembly language taught in order to understand the instruction set architecture and memory model of the computer. Introduction to the process of specifying and designing embedded systems.

Lab experiments reinforce fundamental concepts using embedded design and debug tools. Prerequisite: B EE 425 or CSS 422. Advanced topics and experiments in embedded systems. Topics may include real-time performance analysis, mission critical software design, RTOS kernel design, memory management, flash programming, VHDL design, real-world interfacing, and real-time debugging tools. Principles of operating systems, including process management, memory management, auxiliary storage management, and resource allocation. Focus on the structure of the popular desktop and real-time operating systems.

UDP, flow control, congestion control, network security, and application protocols. Oriented toward network programming and performance evaluation experiments. Concepts and design of parallel and distributed computing systems. Introduces the fundamental concepts in computer graphics: camera model, illumination models, hardware shading, transformation pipeline, scene graphs, texture mapping, and simple modeling and animation techniques.