Pictures from the French Revolution

`` Brave New World Of Digital Intimacy `` - 986 Words

Similar to the characters in Wall-E, people in our society have become glued to their devices, thus any form of physical socializing is nonexistent. Because people pay so much attention to their social medias, the form of web communication slowly strips the ability to physically interact confidently with others. For example, there are kids and teens out there who grew up with online friends because they spent most of their childhood indoor playing games and meeting people online. In Wall-E, all the humans do up in space is stare at a large screen projector. In fact, they are so invested in technology that they do not acknowledge the existence of those around them. There is not a single character who takes a moment to speak to another human sitting right beside them. In â€Å"Brave New World of Digital Intimacy†, Thompson declares â€Å"And when they do socialize face to face, it feels oddly as if they’ve never been apart. They don’t need to ask, â€Å"so what have you been up to?† because they already know.† He indicates that people spend so much time on the internet chatting and catching up with each other that it feels awkward to speak in person again because they are not used to physical contact. People who use these applications are able to see and communicate with their friends or families just across the screen. Technology instead is becoming a person’s company, replacing an actual existent person. Ultimately, due to the amount of time spent with technology, people are losing theShow MoreRelated`` Brave New World Of Digital Intimacy `` And Mark Twain s The Dairies Of Adam And Eve1424 Words   |  6 Pagesbenefits that can counterbalance the struggles of identity. Two readings, Clive Thompson’s â€Å"Brave New World of Digital Intimacy† and Mark Twain’s â€Å"The Dairies of Adam and Eve† show how society and sharing the Good life can benefit the individual overall, and might even help an individual find their own identity. In Mark Twain’s â€Å"The Diaries of Adam and Eve,† Adam first struggled with the existence of his new life partner Eve. He hated the fact that he never had alone time, and the fact that Eve wasRead MoreThe Effects Of Social Media On Teens867 Words   |  4 Pagesgeneration to the world and help them to make friends. It also can bring families closer to each other. Social media is one of the main standing causes of insecurities and self-uncertainty between the teenagers in new generation. Teenager spends at least of 2 hours or more than that on social media every day. According to an Austin McCann’s Impact of Social Media on Teens articles he brings up that â€Å"social media is becoming more than a part of their world, it’s becoming their (world on Teens, NegativeRead MoreI’m So Totally Digitally Close To You2081 Words   |  9 Pages The Impact of Social Networking in Life The article â€Å"I’m So Totally, Digitally, Close To You (Brave New World of Digital Intimacy)† (2002) is written by Clive Thompson, who is also a blogger and columnist. The author aims to explain the users’ attraction of Facebook, Twitter and other forms of â€Å"incessant online contact† through his text. Since social networking has become a nearly ubiquitous aspect of human contemporary life, Thomson has effectively illustrated the invasion of the social mediaRead MoreThe Success of Facebook Essay1210 Words   |  5 Pagesalso focus on two young men whom youth today believe are successful (survey response 13). There are 24 million millionaires (Brooklyn, 2011) around the globe all with different stories, ways and qualities that lead to their success in the business world. By thoroughly researching the topic of young millionaires it was clear that the most significant people that created a major impact on their respective industries are Mark Zuckerberg founder of Facebook and Michael Dell founder of Dell ComputersRead MoreThe Internet: A Social and Cognitive Crutch 1246 Words   |  5 Pagesover time. It has made many tasks much quicker and easier to complete. However, there are some negative effects associated with the use of the internet and other technologies that many people, find so glorious. Where we once had to go out to meet new people we can now simply log on to our favorite social networking site, and make copious amounts of online friends. There was also a point in time where we had to recall most of our information from our brain, but now we can simply type the questionRead M oreSocial Project Management Key Concepts and Advantages over Traditional Project Management3563 Words   |  15 Pagesapproaches of management, thus yielding more project success. Table of Contents Introduction 1 Social Project Management 1 Concept and Philosophy 1 History and Influence of Information Technology 2 Fallout of New Project Management Theories 2 Communigram-NET 3 Social Versus Traditional Project Management 3 Compliance with PMBOK 3 The Triple Constraints 3 Differences in Communication Styles 4 Differences in SpeedRead MoreDo Muslim Women Really Need Saving?7400 Words   |  30 PagesDo Muslim Women Really Need Saving? Anthropological Reflections on Cultural Relativism and Its Others Author(s): Lila Abu-Lughod Reviewed work(s): Source: American Anthropologist, New Series, Vol. 104, No. 3 (Sep., 2002), pp. 783-790 Published by: Blackwell Publishing on behalf of the American Anthropological Association Stable URL: http://www.jstor.org/stable/3567256 . Accessed: 18/01/2012 15:55 Your use of the JSTOR archive indicates your acceptance of the Terms Conditions of Use, available atRead MoreGlee Essay9324 Words   |  38 Pagesseason. Your essay should also make reference to your core course readings on television and postmodernism. Due 14 September their true voice; and this one was, to me, ultimately about the series demonstrating its own voice and its space within the world of contemporary musicals. I don’t know what exactly I expected when I heard Joss Whedon would be directing, although it did send me diving for my Buffy The Vampire Slayer sing-along DVD. 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Professor Stephen Ackroyd, Lancaster University, UK This new textbook usefully situates organization theory within the scholarly debates on modernism and postmodernism, and provides an advanced introduction to the heterogeneous study of organizations, including chapters on phenomenology, critical theory and psychoanalysis

Collaboration Technologies and Systems †Free Samples to Students

Question: Discuss about the Collaboration Technologies and Systems. Answer: Introduction: The big data is considered as the massive amount of structure, unstructured and semistructured data that can be mined in terms of providing support to the management in terms of decision making processes [5]. Big Data has attracted enormous contemplation from information analysts in data sciences, approach as well as leaders within industries and governments. With the Moore's Law exceed of data speed development headed for start of this century, extreme information is producing overwhelming difficulties to community [12]. However, there exist immense potential and exceptionally supportive characteristics suppressed in the enormous quantity of information. An additional consistent worldview is visualized as DISD or Data Intensive Scientific Discovery, or else named Big Data concerns. Big Data is a gathering of extremely immense informational collections with an extraordinary assorted qualities of sorts so it winds up noticeably hard to handle by utilizing cutting edge information prep aring approaches or conventional information preparing stages [10]. As an ever increasing number of fields include Big Data issues, going from worldwide society organization to economy, and from national security to scientific researches, the world has came into the age of Big Data [8]. There are five domains where the Big Data has tremendous potential. The review recommends that suggest there exist three individual primary problem ranges that must be leaned to in handling massive data. The issues are, administration issues, stockpiling issues and handling problems. Each of the issues articulates to a massive management of concentrated research concerns within its individual concession [7]. Big Data Security Threats: Privacy Issues: In spite of the extreme profit regarding several applications that can be achieved through the information found by data mining, people have indicated expanding worry about the opposite surface of the situation, privacy issues. To be exact the security risks positioned by data mining [3]. Individual's data security will be in danger because of the unauthorized access to the user information. In addition to that, it may generate risk through the unwanted revelation of one users personal data as well as the use of user information regarding reasons additional than the user regarding which data has been collected. Fragment Data: Groups of Big Data include data that represent the scenery of simplicity, authorizing several copies moving back and forth diverse hubs guaranteeing overload and flexibility. The data is available for breakage and may be distributed over several servers. Therefore, greater complexity is comprised afterward of the breakage that characterizes a security concern as the nonexistence of a security controls [14]. Distributed Computing: As the accessibility of resources leads to virtual arranging of data at any instant or occasion where it is available this proceeds to wide levels of parallel computation [7]. Because of this, complicated conditions are generated that resides at elevated risks of attacks in comparison with its collaborators of crypts. These crypts are centrally managed and firm that enables easier security proposals. Handling Data Access: Appointed data environments management right of entry at the composition stage, lacking of improved data details in leaning to suggested consumers to the extent that segments and reach associated circumstances. Important segments of the accessible security compositions regarding database provide segment-based access [3]. Node-to-node communication: A concern in terms of Big Data and a collection of contestants accessible within the specified field is that, it does not carry out protected communication rather it brings into use of the RPC or Remote Procedure Call over TCP/IP [13]. Interaction among Client: Interaction among the customers happens with resource manager and data hubs. In any case, there present a catch. In spite of the fact that efficient communication is supported by the use of this framework, it constructs awkward to protect hubs from clients and vice-versa. Moreover, its safeguards mainframe servers from hubs [9]. No security Virtually: Massive information stacks were outlined in sight of near to minimum security. Endearing massive data organizations are crated on the basis of the web management presentation, with little or no workplaces for preventing basic web risks making it going beyond weak [6]. Other security threats of the Big Data are along with their relevance has been shown in the table 1. Security Threats Relevance (Percentage) % Exploitation of Cloud Services 84 Data Breaches 91 Denial of Service 81 Inadequate Due Diligence 81 Shared Technology Vulnerabilities 82 Malicious Insiders 88 Insecure Interfaces and APIs 90 Data Loss 91 Account or Service Traffic Hijacking 87 Table 1: The Security Threats of Big Data and their Relevance [1] Transport and Storage concerns: The quantity of data has discharged each time the ability medium is created. In addition to that, everybody and everything are making information not simply, as up to this time, by experts, for example, columnists, scholars, researcher, and many more. Current disk technology limits are around 4 terabytes for each plate [4]. Thusly, 1 Exabyte would require 25,000 circles. Issues Regarding Management: Management of data maybe the majority difficult issue for addressing with Big Data [4]. This concern at first facade ten years back in the UK eScience actions where data was dissolved geologically as well as "possessed" and " administrated " by diverse components [7]. Issues regarding Processing: Recognize that an Exabyte of data should be managed entirely. Regarding direct, admit the data is divided into squares of 8 words, so 1 Exabyte = 1K petabytes. Accepting a processor exhausts 100 guidelines on one piece at 5 gigahertz, the time needed regarding end-to-end arranging would be 20 nanoseconds [4]. To prepare 1K petabytes would require an aggregate end-to-end handling time of about 635 years. Big Data Security Threats Solutions: Inside this examination security, investigation of Big Data segments has been done alongside a concise examination of intrinsic security of the Big Data organic community and Big Data security can be seen as not exceptionally solid one. Therefore, in this paper holds a security management around the four distinct security pillars [11]. Authentication: It is verifying framework or client getting to the system. Big Data provides Kerberos as an necessary authentication. At first SASL/GSSAPI was used to carry out Kerberos and usually confirm consumers, their requests, and Big Data profits over the RPC organizations [3]. Big Data as well strengthens "Block-able" Authentication for HTTP Web Consoles involving those executers of web applications and web consoles might carry out their individual specific authentication tool for HTTP organizations. This includes yet was not forced to HTTP SPNEGO justification. The Big Data segments support SASL Framework like the RPC layer can be altered to support the SASL based general authentication [12]. Authorization: Authorisation is a process of representing access control advantages regarding system or client. In Big Data, attainable controls are actualized by using consents based on document that get after the UNIX authorizations exhibit [8]. The NameNode in light of document consents and ACLs of clients and gatherings might authorize attainable control to records in HDFS. MapReduce provides ACLs to profession rows that distinguish which customers or groups can propose employs to a row and alter line properties [3]. Big Data presents fine-grained authorization using document permissions in HDFS and resource level attainable control utilizing ACLs for MapReduce as well as cruder gleaned attainable control at management level. Value Added Security Distribution: This layer summarizes a few additional security highlights supported by Verizon except Logical and Base security. These parts include VPN and Firewall capabilities with exceptionally adaptable frameworks, prearranged security managements that include Big Data programming progression highlights and applications, as well as a wise management framework. This framework is suitable regarding differentiating security weaknesses and identifying restraint options [1]. Positivism has been selected as the research philosophy. It is because, the philosophy assists in creating logical statements that can be used for supporting the research statements. The action research design has been selected as the design model of the research. The research design has been taken as it instructs to create a problem statement and doing the research around the identified issues. The deductive approach of the research has been followed. As within the research the theory has been tested, it is best for following the deductive approach. In terms of data collection method, survey has been done for collecting real life data. In addition to that, the research papers and articles has been reviewed for gathering general data and support statements. Reference List: Sharif, A., Cooney, S., Gong, S., Vitek, D. (2015, October). Current security threats and prevention measures relating to cloud services, Big Data concurrent processing, and big data. InBig Data (Big Data), 2015 IEEE International Conference on(pp. 1865-1870). IEEE. Xu, L., Jiang, C., Wang, J., Yuan, J., Ren, Y. (2014). Information security in big data: privacy and data mining.IEEE Access,2, 1149-1176. Sharma, P. P., Navdeti, C. P. (2014). Securing big data Big Data: a review of security issues, threats and solution. J. Comput. Sci. Inf. Technol,5. Kaisler, S., Armour, F., Espinosa, J. A., Money, W. (2013, January). Big data: Issues and challenges moving forward. InSystem sciences (HICSS), 2013 46th Hawaii international conference on(pp. 995-1004). IEEE. Chen, C. P., Zhang, C. Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data.Information Sciences,275, 314-347. Kim, G. H., Trimi, S., Chung, J. H. (2014). Big-data applications in the government sector.Communications of the ACM,57(3), 78-85. Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., Khan, S. U. (2015). The rise of big data on cloud computing: Review and open research issues.Information Systems,47, 98-115. Sagiroglu, S., Sinanc, D. (2013, May). Big data: A review. InCollaboration Technologies and Systems (CTS), 2013 International Conference on(pp. 42-47). IEEE. Puthal, D., Nepal, S., Ranjan, R., Chen, J. (2015, August). DPBSV--An efficient and secure scheme for big sensing data stream. InTrustcom/BigDataSE/ISPA, 2015 IEEE(Vol. 1, pp. 246-253). IEEE. Puthal, D., Nepal, S., Ranjan, R., Chen, J. (2015, August). DPBSV--An efficient and secure scheme for big sensing data stream. InTrustcom/BigDataSE/ISPA, 2015 IEEE(Vol. 1, pp. 246-253). IEEE. Xu, L., Jiang, C., Wang, J., Yuan, J., Ren, Y. (2014). Information security in big data: privacy and data mining.IEEE Access,2, 1149-1176. Cardenas, A. A., Manadhata, P. K., Rajan, S. P. (2013). Big data analytics for security.IEEE Security Privacy,11(6), 74-76. Riggins, F. J., Wamba, S. F. (2015). Research directions on the adoption, usage, and impact of the internet of things through the use of big data analytics. InSystem Sciences (HICSS), 2015 48th Hawaii International Conference on(pp. 1531-1540). IEEE. Inukollu, V. N., Arsi, S., Ravuri, S. R. (2014). Security issues associated with big data in cloud computing.International Journal of Network Security Its Applications,6(3), 45.