Information security in the context of "BAE Systems"

Cryptography, or cryptology (from Ancient Greek: κρυπτός, romanized: kryptós "hidden, secret"; and γράφειν graphein, "to write", or -λογία -logia, "study", respectively), is the practice and study of techniques for secure communication in the presence of adversarial behavior. More generally, cryptography is about constructing and analyzing protocols that prevent third parties or the public from reading private messages. Modern cryptography exists at the intersection of the disciplines of mathematics, computer science, information security, electrical engineering, digital signal processing, physics, and others. Core concepts related to information security (data confidentiality, data integrity, authentication and non-repudiation) are also central to cryptography. Practical applications of cryptography include electronic commerce, chip-based payment cards, digital currencies, computer passwords and military communications.

Cryptography prior to the modern age was effectively synonymous with encryption, converting readable information (plaintext) to unintelligible nonsense text (ciphertext), which can only be read by reversing the process (decryption). The sender of an encrypted (coded) message shares the decryption (decoding) technique only with the intended recipients to preclude access from adversaries. The cryptography literature often uses the names "Alice" (or "A") for the sender, "Bob" (or "B") for the intended recipient, and "Eve" (or "E") for the eavesdropping adversary. Since the development of rotor cipher machines in World War I and the advent of computers in World War II, cryptography methods have become increasingly complex and their applications more varied.

Computer security (also cybersecurity, digital security, or information technology (IT) security) is a subdiscipline within the field of information security. It focuses on protecting computer software, systems, and networks from threats that can lead to unauthorized information disclosure, theft or damage to hardware, software, or data, as well as from the disruption or misdirection of the services they provide.

The growing significance of computer insecurity reflects the increasing dependence on computer systems, the Internet, and evolving wireless network standards. This reliance has expanded with the proliferation of smart devices, including smartphones, televisions, and other components of the Internet of things (IoT).

Information assurance (IA) is the practice of assuring information and managing risks related to the use, processing, storage, and transmission of information. Information assurance includes protection of the integrity, availability, authenticity, non-repudiation and confidentiality of user data. IA encompasses both digital protections and physical techniques. These methods apply to data in transit, both physical and electronic forms, as well as data at rest. IA is best thought of as a superset of information security (i.e. umbrella term), and as the business outcome of information risk management.

The economy of Hungary is a developing, high-income mixed economy that is the 53rd-largest economy in the world (out of 188 countries measured by IMF) with $265.037 billion annual output, and ranks 41st in the world in terms of GDP per capita measured by purchasing power parity. Hungary has a very high human development index and a skilled labour force, with the 22nd lowest income inequality by Gini index in the world. Hungary has an export-oriented market economy with a heavy emphasis on foreign trade; thus the country is the 35th largest export economy in the world. The country had more than $100 billion of exports in 2015, with a high trade surplus of $9.003 billion, of which 79% went to the European Union (EU) and 21% was extra-EU trade. Hungary's productive capacity is more than 80% privately owned, with 39.1% overall taxation, which funds the country's welfare economy. On the expenditure side, household consumption is the main component of GDP and accounts for 50% of its total, followed by gross fixed capital formation with 22% and government expenditure with 20%.

In 2015 Hungary attracted $119.8 billion in FDI and invested more than $50 billion abroad. As of 2015, the key trading partners of Hungary were Germany, Austria, Romania, Slovakia, France, Italy, Poland and the Czech Republic. Major industries include food processing, pharmaceuticals, motor vehicles, information technology, chemicals, metallurgy, machinery, electrical goods, and tourism (in 2014 Hungary received 12.1 million international tourists). Hungary is the largest electronics producer in Central and Eastern Europe. Electronics manufacturing and research are among the main drivers of innovation and economic growth in the country. In the past 20 years Hungary has also grown into a major center for mobile technology, information security, and related hardware research.The employment rate in the economy was 68.7% in January 2017, while the employment structure shows the characteristics of post-industrial economies. An estimated 63.2% of the employed workforce work in the service sector, industry contributed by 29.7%, while agriculture employed 7.1%. The unemployment rate was 3.8% in September–November 2017, down from 11% during the Great Recession. Hungary is part of the European single market, which represents more than 448 million consumers. Several domestic commercial policies are determined by agreements among European Union members and by EU legislation.

Privacy (UK: /ˈprɪvəsi/, US: /ˈpraɪ-/) is the ability of an individual or group to seclude themselves or information about themselves, and thereby express themselves selectively.

The domain of privacy partially overlaps with security, which can include the concepts of appropriate use and protection of information. Privacy may also take the form of bodily integrity.

In the context of information security, social engineering is the use of psychological influence of people into performing actions or divulging confidential information. It has also been more broadly defined as "any act that influences a person to take an action that may or may not be in their best interests." A type of confidence trick for the purpose of information gathering, fraud, or system access, it differs from a traditional "con" in the sense that it is often one of many steps in a more complex fraud scheme.

Social engineering attacks have been increasing in intensity and number, prompting research into novel detection techniques and cybersecurity educational programs.

A cryptographic protocol is an abstract or concrete protocol that performs a security-related function and applies cryptographic methods, often as sequences of cryptographic primitives. A protocol describes how the algorithms should be used and includes details about data structures and representations, at which point it can be used to implement multiple, interoperable versions of a program.

Cryptographic protocols are widely used for secure application-level data transport. A cryptographic protocol usually incorporates at least some of these aspects:

Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. Analytics also entails applying data patterns toward effective decision-making. It can be valuable in areas rich with recorded information; analytics relies on the simultaneous application of statistics, computer programming, and operations research to quantify performance.

Organizations may apply analytics to business data to describe, predict, and improve business performance. Specifically, areas within analytics include descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics, and cognitive analytics. Analytics may apply to a variety of fields such as marketing, management, finance, online systems, information security, and software services. Since analytics can require extensive computation (see big data), the algorithms and software used for analytics harness the most current methods in computer science, statistics, and mathematics. According to International Data Corporation, global spending on big data and business analytics (BDA) solutions is estimated to reach $215.7 billion in 2021. As per Gartner, the overall analytic platforms software market grew by $25.5 billion in 2020.