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Security Basics

Security Basics. Prof Mark Baker ACET, University of Reading Tel: +44 118 378 8615 E-mail: Mark.Baker@computer.org Web: http://acet.rdg.ac.uk/~mab. Basic Security - Outline. Concerns. Objectives. Basic Definitions Security Components: Symmetric/asymmetric systems,

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Security Basics

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  1. Security Basics Prof Mark Baker ACET, University of Reading Tel: +44 118 378 8615 E-mail: Mark.Baker@computer.org Web: http://acet.rdg.ac.uk/~mab mark.baker@computer.org

  2. Basic Security - Outline • Concerns. • Objectives. • Basic Definitions • Security Components: • Symmetric/asymmetric systems, • Public Key Encryption. • Public Key Infrastructure: • Certificates, • Signatures. • Summary. mark.baker@computer.org

  3. Security Concerns • Unauthorised access to resources. • Masquerade as authorised user or end system. • E-mail forgery. • Malicious attacks. • Monitoring and capture of network traffic. • Exploitation of software bugs. mark.baker@computer.org

  4. Contributing Factors • Increased Internet use: • Home broadband, • Greater coverage (wired and wireless): • More ubiquitous on-line use: • Education, • Business, • Games, • Shopping… • Lack of awareness of threats and risks. • Wide-open network policies. • Unencrypted network traffic. • Complexity of security measurements and administration. • Software bugs. • Availability of cracking tools . mark.baker@computer.org

  5. The Actors mark.baker@computer.org

  6. Attack Sophistication vs. Intruder Technical Knowledge Malicious Code Morphing Intruder Knowledge “Stealth”/Advanced Scanning Techniques High BOTS Denial of Service Zombies Network Management Diagnostics Distributed Attack Tools Web Attacks Sweepers Automated Probes/Scans Back Doors GUI Packet Spoofing Disabling Audits Sniffers Hijacking Sessions Intruders Exploiting Known Vulnerabilities Password Cracking Self-Replicating Code Password Guessing Attack Sophistication Low 1980 1985 1990 1995 2000 2005 2010 Sources: Carnegie Mellon University, 2002 and Idaho National Laboratory, 2005 mark.baker@computer.org

  7. Basic Security Terms • Classic security concerns deal more with data: • Confidentiality – data only available to those authorised, • Availability – you can get it when you want it, • Integrity – data has not been changed. • Additional concerns deal more with people and transactions: • Trust – who you are and what you are authorized to do, • Non-repudiation – you can’t deny doing something you did, • Auditability – I can check what you did to the data, • Reliability – the system does what I want, when I want it to, • Privacy – within certain limits no one should know who I am or what I do. mark.baker@computer.org

  8. Basic Security Objectives • Confidentiality: prevent/detect/deter improper disclosure of information. • Integrity: prevent/detect/deter improper modification of information. • Availability: prevent/detect/deter improper denial of access to services. mark.baker@computer.org

  9. Security Terms Authentication: • The process by which a person or other entity proves that it is who (or what) it says it is. • Want to authenticate the person or entity that you are dealing before transferring something valuable, such as information or money, to or from, it. • Authentication is achieved by presenting some uniqueidentifying entity to the endpoint that is undertaking the process: • An example of this process is the way you authenticate yourself with an ATM: here you insert your bank card (something you have) and enter your personal identification number (PIN, something you know). mark.baker@computer.org

  10. Non-computer identification • Bank teller knows you by sight (good). • Bank teller checks your picture against a photo ID (dodgy). • Bank back office compares cheque signature to one on record (dodgy). • All examples of biometric identification. Identification • Being able to identify yourself to a computer is absolutely essential: • ATM, e-banking, • Access to e-mail, computer accounts, • Access to personal information (e.g., staff or student portal). mark.baker@computer.org

  11. Computer Identification • How we identify a human to a computer? • Username/Passwords (common), • Token, e.g. ATM card, • Cryptographic protocols, • Combinations, e.g. token and password, • Biometrics, e.g. face recognition, finger prints, and retina/iris scans. mark.baker@computer.org

  12. Passwords • Most common identification technique: • Variants: such as “PIN” (number), memorable date, mothers maiden name. • Problem: we are not well-suited to remembering passwords: • Especially rarely used ones, • We can also confuse passwords used in similar contexts. mark.baker@computer.org

  13. Biometric identification • Passwords are pretty useless at identifying people. • Can we identify them by their properties? • Face, handwriting, retina, DNA, voice, signature, fingerprint… • “How humans identify other humans”. Vulnerabilities • Users reveal passwords to outsiders. • Users reuse passwords. • Users choose “easy to guess” passwords. • Password observed on entry. • Password obtained from system files. mark.baker@computer.org

  14. Other issues • Cost: • Voice recognition is cheap, • Eye (iris) scanning is expensive. • User comfort: • Face recognition is nice (look into camera), • DNA matching is not (blood/skin sample). • Theoretical accuracy: • Iris is unique (determined while an embryo), • DNA is shared by identical twins, • Voice can be imitated. • Excluded population: • Voice does not work on mute people, • Fingerprints do not work on amputees, • DNA works on everyone! • Variability: • Dirty fingers, or sick (cold) for voice. mark.baker@computer.org

  15. Security Terms Authorisation: • Is the act of providing the rights to perform some action: • Typically based on based on what are known as Access Control Lists (ACLs), which for some set of resources, a list of user names and their rights are provided. • For example, the mere possession of a security badge does not grant you the right to enter a restricted area, such as the administration room: • An examples could be a guest list for an event or a door lock that reads your badge. mark.baker@computer.org

  16. Setting Up Access Rights • Classify users into groups: • Patients, doctors, chemist, lab, NHS admin, … • Classify resources into groups: • Prescriptions, blood test results, diagnoses, patient contact details, … • Classify access rights: • Read, write, delete, modify, append, … • Domain specific: number AIDS cases per region. mark.baker@computer.org

  17. Access Control Lists (ACL) • Specify the access permissions of each group for each resource (or resource type): • (doctors, blood-test.db) – read access. • (lab, blood-test.db) - read, write access. • Program-specific permissions: • Allows application-specific restrictions: • (NHS, blood-test.db, SPSS) – AIDS/region mark.baker@computer.org

  18. Security Terms Trust: • Trust is the “assured reliance on the character, ability, strength, or truth of someone or something”. • A distributed environment requires explicit statements of trust, such as: • “who is trusted to do what”, • Also obligations of all the parties involved in the trust relationship. • Trust percolates through almost every stage of today’s security infrastructure and can be seen as a key issue with the world of information assurance. mark.baker@computer.org

  19. Security Terms Integrity: • This is the assurance that the data has not changed since it was written: • e.g., prevent a potential intruder-in-the-middle from changing messages. • Data integrity can be checked using: • A check-sum, which is a simple error-detection scheme where each transmitted message is accompanied by a numerical value based on the number of set bits in the message: • Checked by the receiving station - if different the receiver can assume that the message has been garbled. • Hash functions, any one-way function that reduces variable sized data to a fixed length “hash code”: • If the hashes of two documents differ, then the documents differ. mark.baker@computer.org

  20. Security Terms Confidentiality: • This is the act of ensuring no one but authorised parties (who know some secret) can understand the data. • There are two mechanisms used to ensure data confidentiality, the more common encryption, and steganography: • With encryption an algorithm or function (encrypt) that transforms plain text to cypher text where the meaning is hidden, but which can be restored to the original plain text by another algorithm (decrypt). • Steganography, on the other hand is where a message is hidden in another message or image: • It is used when it is necessary to conceal the fact that a secret message is being transmitted. mark.baker@computer.org

  21. Security Components Encryption and Decryption: • Encryption is the conversion of data into a form, called a ciphertext, which cannot be easily understood by unauthorised entities. • Decryption is the process of converting encrypted data back into its original form, so it can be understood. • Most security technologies rely, to some degree, on encryption of text or data: • For example, encryption is used in the creation of certificates and digital signatures, for the secure storage of secrets or transport of information. • Encryption can be anything from a simple process of substituting one character for another, in which case the key is the substitution rule, to some complex mathematical algorithm. mark.baker@computer.org

  22. Security Components Encryption and Decryption: • We assume that the more difficult it is to decrypt the ciphertext, the better. • Trade-off - if the algorithm is too complex and it takes too long to use, or requires keys that are too large to store easily, it becomes impractical to use: • Need a balance between the strength of the encryption; that is, how difficult it is for someone to discover the algorithm and the key, and ease of use. • There are two main types of encryption in use for computer security, referred to as symmetric and asymmetric key encryption. mark.baker@computer.org

  23. Symmetric Key • Symmetric key cryptography, also called private or secret key cryptography, is the classic cryptographic use of keys: • Here the same key is used to encrypt and decrypt the data. Plaintext Plaintext Encrypt with secret key Decrypt with secret key Internet Ciphertext mark.baker@computer.org

  24. K4 K1 K2 K3 K5 K6 K8 K7 K9 K10 Symmetric Key • Key management is an issue. • Each pair of communicating entities needs a shared key: • For an n-party system, there are n(n-1)/2 distinct keys in the system and each party needs to maintain n-1 distinct keys. • How to reduce the number of shared keys in the system: • Centralised key management: • Session keys. • Public keys. mark.baker@computer.org

  25. Asymmetric Keys • In asymmetric key cryptography, different keys are used for encrypting and decrypting a message. • In that case, one key can be made public while the other is kept private. • There are advantages to this public-key–private-key arrangement, often referred to as public key cryptography: • The necessity of distributing secret keys to large numbers of users is eliminated, • The algorithm can be used for authentication as well as for creating cipertext. mark.baker@computer.org

  26. Public Key Encryption • Jill has two keys: public and private: • Jill publishes her public key: • Such that the key is publicly known! • Jill keeps her private key secret. • Other people use Jill’s public key to encrypt messages for Jill. • Jill uses her private key to decrypt messages. • Only Jill can decrypt since only she has the private key. Public key Encrypt Message rfwekfs Private key Decrypt Message rfwekfs • Security: To compute the private key from the public key is assumed difficult. mark.baker@computer.org

  27. Secure Message Exchange Using Asymmetric Keys mark.baker@computer.org

  28. Public key vs. Symmetric key Symmetric key Public key Two parties MUST trust each other Two parties DO NOT need to trust each other Typically both share same key Two separate keys: a public and a private key Typically faster x100! Typically slower Examples: DES, IDEA, RC5, AES, … Examples: RSA, ElGamal Encryption, ECC… mark.baker@computer.org

  29. Public Key Infrastructure • Many applications need key distribution. • Anyone can derive keys, so there is a need to have a mechanism to assure that keys belong to entities they claim to come from. • In PKI a Certification Authority (CA) validates keys. • Distribution in PKI is done via a hierarchy of CAs. • A CA: • Checks real-world credentials, • Gets key from user in person, • Signs Certificate (“cert”) validating key. • Then a certificate is attached to assure an end point that an entity is who it claims to be: • If the end point trusts the CA, then it will trust that entity and who it claim to be. mark.baker@computer.org

  30. Certification Authority • CAs issue digital certificates after verifying that a public key belongs to a certain owner: • Driving licenses, identification cards and fingerprints are examples of documentation required. • Some examples of CAs are: mark.baker@computer.org

  31. The e-Science CA mark.baker@computer.org

  32. Public Key Certificate • A public key certificate is a file that contains a public key, together with identity information, such as a person's name, all of which is signed by a certification authority (CA): • Similar in concept to a passport signed by the national government. • The CA is a guarantor who verifies that the public key belongs to the named entity. • Certificates are required for the large-scale use of public-key cryptography, since anybody can create a public-private key pair: • So in principle, if the originator is sending private information encrypted with the recipient’s public key, a malicious user can fool the originator into using their public key, and so get access to the information, since it knows its corresponding private key. mark.baker@computer.org

  33. Public Key Certificate • But if the originator only trusts public keys that have been signed ("certified") by an authority, then this type of attack can be prevented. • In large-scale deployments one user may not be familiar with another’s certificate authority (perhaps they each have a different company CA), so a certificate may also include a CA's public key signed by a higher level CA, which is more widely recognised. • This process can lead to a hierarchy of certificates, and complex graphs representing trust relations. mark.baker@computer.org

  34. E-Science Certificate mark.baker@computer.org

  35. E-Science Certificate mark.baker@computer.org

  36. Version Serial number Certificate issuer Certificate holder Validity period (note that the certificate is not valid before or after this period), Attributes, known as certificate extensions that contain additional information such as allowable uses for this certificate, Digital signature from the certification authority to ensure that the certificate has not been altered and to indicate the identity of the issuer, Public key of the owner of the certificate, Message digest algorithm used to create the signature. Digital Certificate – Info. Table 1: The Contents of Digital Certificate mark.baker@computer.org

  37. E-Science Certificate mark.baker@computer.org

  38. The Role of the Certification Authority Decrypt Message Sender Signed Document Sender Public Key CA CA Public Key Recipient mark.baker@computer.org

  39. Digital Signatures • Integrity is guaranteed in public-key systems by using digital signatures: • This is a method of authenticating digital information, in the same manner that an individual would sign a paper document to authenticate it. • A digital signature is itself a sequence of bits conforming to one of a number of standards. • Most digital signatures rely on public key cryptography to work. mark.baker@computer.org

  40. Digital Signatures • Often, a cryptographically strong hash function is applied to the message. • A hash function is an algorithm which creates a digital representation in the form of a "hash value" of a standard length, which is typically much smaller than the message but nevertheless unique to it. • The resulting message digest is encrypted instead of the entire message: • This makes the signature significantly shorter than the message and saves considerable time since hashing is generally much faster, byte for byte, than public-key encryption. mark.baker@computer.org

  41. Basic Features of a Digital Signature • Private key: sender uses the private key to sign the document. • Public key: recipient uses the public key to authenticate the document. • Message hash algorithm: perform a mathematical calculation on the document and generate a hash value unique to the message. • Encryption algorithm: accept the private key and a hash value to generate a digital signature or accept a public key and a digital signature to generate a hash value. mark.baker@computer.org

  42. How does Digital Signature Work? mark.baker@computer.org

  43. Digital signatures • Only the signer (who has a private key) can generate a valid signature. • Everyone (since the corresponding public key is published) can verify if a signature with respect to a message is valid. Private key Sign rfwekfs Message (fixed-length signature) Public key Message Verify rfwekfs Valid/Invalid mark.baker@computer.org

  44. Adding A Digital Signature mark.baker@computer.org

  45. A Digital Signed Email mark.baker@computer.org

  46. Security – Summary • Security Concerns: • Confidentiality – data only available to those authorised, • Availability – you can get it when you want it, • Integrity – data has not been changed. • Trust – who you are and what you are authorized to do, • Non-repudiation – you can’t deny doing something you did, • Auditability – I can check what you did to the data, • Reliability – the system does what I want, when I want it to, • Public Key Infrastructure: • Secret key, • Public key, • Certificates, • Digital Signatures. mark.baker@computer.org

  47. Questions? mark.baker@computer.org

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