Primary Security Principles and Concepts

· 12 min read
Primary Security Principles and Concepts

# Chapter 3: Core Security Concepts and Concepts

Prior to diving further in to threats and defense, it's essential in order to establish the basic principles that underlie application security. These types of core concepts are the compass by which security professionals navigate decisions and trade-offs. They help reply why certain handles are necessary and what goals we are trying to achieve. Several foundational models and principles guide the design in addition to evaluation of protected systems, the most famous being typically the CIA triad and associated security principles.

## The CIA Triad – Discretion, Integrity, Availability

In the middle of information safety (including application security) are three main goals:

1. **Confidentiality** – Preventing illegal usage of information. Inside simple terms, preserving secrets secret. Simply those who are authorized (have the particular right credentials or permissions) should become able to see or use sensitive data. According to NIST, confidentiality signifies "preserving authorized limitations on access in addition to disclosure, including means that for protecting individual privacy and proprietary information"​
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. Breaches associated with confidentiality include trends like data water leaks, password disclosure, or an attacker reading through someone else's e-mails. A real-world instance is an SQL injection attack that will dumps all consumer records from the database: data that should happen to be confidential is exposed to the attacker. The other of confidentiality is disclosure​
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– when information is revealed to those not authorized to see it.

a couple of. **Integrity** – Safeguarding data and techniques from unauthorized adjustment. Integrity means that information remains accurate and trustworthy, in addition to that system capabilities are not interfered with. For instance, if a banking application displays your accounts balance, integrity steps ensure that a great attacker hasn't illicitly altered that equilibrium either in transportation or in typically the database. Integrity can certainly be compromised by attacks like tampering (e. g., modifying values in a WEB LINK to access a person else's data) or even by faulty program code that corrupts info. A classic mechanism to make sure  integrity  is usually the usage of cryptographic hashes or signatures – in case a record or message is definitely altered, its personal will no longer verify. The reverse of of integrity is usually often termed modification – data staying modified or dangerous without authorization​
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3 or more. **Availability** – Making sure systems and files are accessible as needed. Even if files is kept key and unmodified, it's of little work with in case the application is usually down or inaccessible. Availability means that will authorized users can reliably access the application and it is functions in a new timely manner. Threats to availability incorporate DoS (Denial associated with Service) attacks, wherever attackers flood a server with traffic or exploit the vulnerability to collision the program, making that unavailable to legitimate users. Hardware disappointments, network outages, or even even design problems that can't handle peak loads are also availability risks. The opposite of supply is often referred to as destruction or refusal – data or services are demolished or withheld​
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. Typically the Morris Worm's impact in 1988 seemed to be a stark prompt of the need for availability: it didn't steal or change data, but by causing systems crash or even slow (denying service), it caused major damage​
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These three – confidentiality, integrity, and availability – are sometimes called the "CIA triad" and are considered as the three pillars associated with security. Depending on the context, a good application might prioritize one over the particular others (for example, a public reports website primarily cares about you that it's accessible and its content sincerity is maintained, privacy is less of a good issue because the content material is public; conversely, a messaging app might put discretion at the top of its list). But a safeguarded application ideally ought to enforce all in order to an appropriate degree. Many security regulates can be understood as addressing one or more of the pillars: encryption works with confidentiality (by rushing data so only authorized can read it), checksums plus audit logs help integrity, and redundancy or failover devices support availability.

## The DAD Triad (Opposites of CIA)

Sometimes it's valuable to remember typically the flip side associated with the CIA triad, often called DADDY:

- **Disclosure** – Unauthorized access to information (breach of confidentiality).
- **Alteration** – Unauthorized change details (breach associated with integrity).
- **Destruction/Denial** – Unauthorized damage info or denial of service (breach of availability).

Protection efforts aim to be able to prevent DAD effects and uphold CIA. A single attack can involve multiple of these factors. Such as, a ransomware attack might both disclose data (if the attacker shop lifts a copy) plus deny availability (by encrypting the victim's copy, locking them out). A net exploit might modify data within a repository and thereby break integrity, etc.

## Authentication, Authorization, and Accountability (AAA)

Inside securing applications, specifically multi-user systems, many of us rely on further fundamental concepts also known as AAA:

1. **Authentication** – Verifying the identity of an user or method. Whenever you log in with an account information (or more firmly with multi-factor authentication), the system is definitely authenticating you – ensuring you are who you promise to be. Authentication answers the issue: Which are you? Popular methods include passwords, biometric scans, cryptographic keys, or bridal party. A core basic principle is the fact that authentication have to be strong enough in order to thwart impersonation. Poor authentication (like easily guessable passwords or no authentication high should be) is actually a frequent cause associated with breaches.

2. **Authorization** – Once identification is made, authorization handles what actions or data the verified entity is authorized to access. This answers: Exactly what an individual allowed to carry out? For example, right after you log in, the online banking program will authorize one to see your individual account details but not someone else's. Authorization typically entails defining roles or even permissions. A weeknesses, Broken Access Handle, occurs when these checks fail – say, an opponent finds that by simply changing a list ID in an URL they can watch another user's files as the application isn't properly verifying their own authorization. In truth, Broken Access Control was identified as typically the number one internet application risk found in the 2021 OWASP Top 10, seen in 94% of apps tested​
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, illustrating how pervasive and important appropriate authorization is.

3. **Accountability** (and Auditing) – This appertains to the ability to trace actions in typically the system for the dependable entity, which usually signifies having proper signing and audit trails. If something will go wrong or suspect activity is detected, we need in order to know who do what. Accountability is achieved through logging of user activities, and by possessing tamper-evident records. Functions hand-in-hand with authentication (you can simply hold someone dependable knowing which account was performing an action) and using integrity (logs them selves must be protected from alteration). Inside application security, creating good logging and monitoring is essential for both detecting incidents and undertaking forensic analysis after an incident. As we'll discuss inside of a later part, insufficient logging and monitoring can allow removes to go hidden – OWASP details this as one other top ten issue, observing that without correct logs, organizations may well fail to notice an attack until it's far also late​
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Sometimes you'll see an expanded acronym like IAAA (Identification, Authentication, Authorization, Accountability) which just breaks out identification (the claim of id, e. g. coming into username, before real authentication via password) as an individual step. But the core ideas continue to be the identical. A secure application typically enforces strong authentication, stringent authorization checks with regard to every request, and even maintains logs regarding accountability.

## Rule of Least Privilege

One of typically the most important design principles in protection is to provide each user or perhaps component the bare minimum privileges necessary to perform its operate, with out more. This is the theory of least freedom. In practice, this means if an program has multiple jobs (say admin vs regular user), typically the regular user balances should have zero capability to perform admin-only actions. If a web application needs to access some sort of database, the databases account it employs must have permissions only for the actual dining tables and operations essential – one example is, in case the app in no way needs to delete data, the DEUTSCHE BAHN account shouldn't still have the ERASE privilege. By limiting privileges, even though a great attacker compromises a good user account or perhaps a component, destruction is contained.

A kampfstark example of not really following least freedom was the Money One breach associated with 2019: a misconfigured cloud permission allowed a compromised component (a web software firewall) to retrieve all data through an S3 storage bucket, whereas when that component got been limited in order to only certain data, typically the breach impact would have been much smaller​
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. Least privilege likewise applies on the program code level: in case a module or microservice doesn't need certain accessibility, it shouldn't have it. Modern container orchestration and foriegn IAM systems ensure it is easier to carry out granular privileges, yet it requires careful design.

## Protection in Depth

This kind of principle suggests that security should always be implemented in overlapping layers, so that in case one layer does not work out, others still provide protection. Put simply, don't rely on any kind of single security control; assume it can be bypassed, plus have additional mitigations in place. For an application, protection in depth may well mean: you confirm inputs on the particular client side intended for usability, but an individual also validate these people on the server side (in case a good attacker bypasses the client check). You safeguarded the database behind an internal fire wall, but the truth is also publish code that investigations user permissions just before queries (assuming the attacker might infringement the network). If using encryption, you might encrypt very sensitive data within the data source, but also enforce access controls on the application layer and monitor for strange query patterns. Protection in depth is definitely like the films of an onion – an opponent who gets by means of one layer need to immediately face an additional. This approach surfaces the truth that no one defense is foolproof.

For example, suppose an application depends on a net application firewall (WAF) to block SQL injection attempts. Protection detailed would claim the application should continue to use safe coding practices (like parameterized queries) to sterilize inputs, in situation the WAF misses a novel attack. A real situation highlighting this was the truth of particular web shells or injection attacks that will were not known by security filtration – the inner application controls next served as typically the final backstop.

## Secure by Design and Secure simply by Default

These connected principles emphasize generating security a basic consideration from typically the start of design, and choosing safe defaults. "Secure by design" means you plan the system buildings with security inside of mind – for instance, segregating delicate components, using verified frameworks, and contemplating how each design and style decision could bring in risk. "Secure by simply default" means when the system is deployed, it should default to the best settings, requiring deliberate actions to make this less secure (rather compared to other way around).

An illustration is default account policy: a safely designed application may possibly ship without default admin password (forcing the installer to be able to set a strong one) – as opposed to creating a well-known default pass word that users may well forget to change. Historically, many software program packages were not safeguarded by default; they'd install with available permissions or trial databases or debug modes active, if an admin neglected to lock them lower, it left gaps for attackers. With time, vendors learned to invert this: today, databases and systems often come together with secure configurations out and about of the box (e. g., remote access disabled, sample users removed), and it's up to be able to the admin in order to loosen if totally needed.

For developers, secure defaults imply choosing safe library functions by default (e. g., default to parameterized concerns, default to end result encoding for web templates, etc. ). It also signifies fail safe – if a part fails, it need to fail within a safeguarded closed state somewhat than an unsafe open state. As an example, if an authentication service times outside, a secure-by-default tackle would deny entry (fail closed) rather than allow it.

## Privacy by Design

This concept, carefully related to safety by design, provides gained prominence especially with laws like GDPR. It means that will applications should always be designed not only to be secure, but to value users' privacy by the ground upward. Used, this may involve data minimization (collecting only precisely what is necessary), openness (users know just what data is collected), and giving consumers control of their info. While privacy is usually a distinct website, it overlaps heavily with security: an individual can't have level of privacy if you can't secure the private data you're accountable for. A lot of the worst data breaches (like those at credit score bureaus, health insurance firms, etc. ) usually are devastating not just because of security failing but because they violate the level of privacy of countless men and women. Thus, modern app security often performs hand in side with privacy things to consider.

## Threat Building

A key practice within secure design is usually threat modeling – thinking like a good attacker to predict what could go wrong. During threat which, architects and builders systematically go through the type of a great application to recognize potential threats and vulnerabilities. They question questions like: What are we building? What can get wrong? What will many of us do about this? One well-known methodology for threat modeling is usually STRIDE, developed from Microsoft, which holds for six kinds of threats: Spoofing id, Tampering with information, Repudiation (deniability involving actions), Information disclosure, Denial of services, and Elevation of privilege.

By going for walks through each component of a system and considering STRIDE risks, teams can discover dangers that may possibly not be clear at first glimpse. For example, consider a simple online salaries application. Threat recreating might reveal that will: an attacker can spoof an employee's identity by questioning the session expression (so we have to have strong randomness), may tamper with wage values via a new vulnerable parameter (so we need suggestions validation and server-side checks), could perform actions and later on deny them (so we want good taxation logs to prevent repudiation), could make use of an information disclosure bug in a good error message to be able to glean sensitive info (so we have to have user-friendly but hazy errors), might effort denial of support by submitting a new huge file or perhaps heavy query (so we need charge limiting and reference quotas), or attempt to elevate freedom by accessing admin functionality (so many of us need robust entry control checks). By means of this process, safety measures requirements and countermeasures become much clearer.

Threat modeling is definitely ideally done early in development (during the structure phase) so that security is usually built in from the beginning, aligning with typically the "secure by design" philosophy. It's a good evolving practice – modern threat modeling might also consider abuse cases (how can the system end up being misused beyond typically the intended threat model) and involve adversarial thinking exercises. We'll see its significance again when discussing specific vulnerabilities and even how developers will foresee and prevent them.

## Risk Management

Not every safety issue is similarly critical, and sources are always limited. So another concept that permeates program security is risk management. This involves examining the possibilities of a threat along with the impact had been it to arise. Risk is usually in private considered as an event of these 2: a vulnerability that's an easy task to exploit and even would cause severe damage is higher risk; one that's theoretical or would likely have minimal influence might be lower risk. Organizations generally perform risk tests to prioritize their own security efforts. Regarding example, an on the internet retailer might figure out that the risk associated with credit card fraud (through SQL treatment or XSS resulting in session hijacking) is incredibly high, and hence invest heavily inside of preventing those, whilst the chance of someone leading to minor defacement on a less-used webpage might be recognized or handled together with lower priority.

Frames like NIST's or ISO 27001's risk management guidelines help throughout systematically evaluating plus treating risks – whether by mitigating them, accepting these people, transferring them (insurance), or avoiding them by changing company practices.

One real consequence of risk management in application security is the generation of a danger matrix or threat register where prospective threats are shown along with their severity. This kind of helps drive choices like which insects to fix first or where to allocate more testing effort. It's also reflected in spot management: if some sort of new vulnerability is announced, teams can assess the risk to their app – is it exposed to that will vulnerability, how severe is it – to determine how urgently to use the plot or workaround.

## Security vs. User friendliness vs. Cost

A discussion of concepts wouldn't be finish without acknowledging typically the real-world balancing work. Security measures could introduce friction or perhaps cost. Strong authentication might mean even more steps for the user (like 2FA codes); encryption might slow down performance a bit; extensive logging may raise storage costs. A principle to adhere to is to seek harmony and proportionality – security should become commensurate with typically the value of what's being protected. Overly burdensome security of which frustrates users can be counterproductive (users might find unsafe workarounds, intended for instance). The artwork of application safety is finding solutions that mitigate hazards while preserving the good user knowledge and reasonable expense. Fortunately, with modern day techniques, many safety measures can become made quite seamless – for example of this, single sign-on alternatives can improve each security (fewer passwords) and usability, in addition to efficient cryptographic your local library make encryption scarcely noticeable when it comes to performance.

In summary, these types of fundamental principles – CIA, AAA, the very least privilege, defense comprehensive, secure by design/default, privacy considerations, risk modeling, and risk management – form the particular mental framework for any security-conscious practitioner. They will show up repeatedly throughout information as we analyze specific technologies and even scenarios. Whenever an individual are unsure regarding a security choice, coming back to these basics (e. g., "Am I protecting confidentiality? Are usually we validating sincerity? Are we reducing privileges? Do we include multiple layers involving defense? ") can easily guide you to some more secure result.

With these principles inside mind, we are able to today explore the actual threats and vulnerabilities that plague applications, in addition to how to defend against them.