Here are all of the relevant keywords/abbreviations for the CompTIA sec+ exam.
Comment below if you have any questions, if I made a mistake, or if I missed something!
AAA: Authentication, Authorization, and Accounting ABAC: Attribute-Based Access Control ACL: Access Control List AD: Active Directory AES: Advanced Encryption Standard AES256: Advanced Encryption Standard with a key size of 256 bits AH: Authentication Header AI: Artificial Intelligence AIS: Automated Information System ALE: Annual Loss Expectancy AP: Access Point API: Application Programming Interface APT: Advanced Persistent Threat ARO: Annualized Rate of Occurrence ARP: Address Resolution Protocol ASLR: Address Space Layout Randomization ASP: Application Service Provider ATT&CK: Adversarial Tactics, Techniques, and Common Knowledge AUP: Acceptable Use Policy AV: Antivirus BASH: Bourne Again Shell BCP: Business Continuity Plan BGP: Border Gateway Protocol BIA: Business Impact Analysis BIOS: Basic Input/Output System BPA: Business Process Automation BPDU: Bridge Protocol Data Unit BSSID: Basic Service Set Identifier BYOD: Bring Your Own Device CA: Certificate Authority CAPTCHA: Completely Automated Public Turing test to tell Computers and Humans Apart CAR: Corrective Action Report CASB: Cloud Access Security Broker CBC: Cipher Block Chaining CBT: Computer-Based Training CCMP: Counter Mode with Cipher Block Chaining Message Authentication Code Protocol CCTV: Closed-Circuit Television CERT: Computer Emergency Response Team CFB: Cipher Feedback CHAP: Challenge-Handshake Authentication Protocol CIO: Chief Information Officer CIRT: Computer Incident Response Team CIS: Center for Internet Security CMS: Content Management System CN: Common Name COOP: Continuity of Operations COPE: Corporate-Owned, Personally-Enabled CP: Control Plane CRC: Cyclic Redundancy Check CRL: Certificate Revocation List CSA: Cloud Security Alliance CSIRT: Computer Security Incident Response Team CSO: Chief Security Officer CSP: Cloud Service Provider CSR: Certificate Signing Request CSRF: Cross-Site Request Forgery CSU: Central Service Unit CTM: Content Threat Management CTO: Chief Technology Officer CVE: Common Vulnerabilities and Exposures CVSS: Common Vulnerability Scoring System CYOD: Choose Your Own Device DAC: Discretionary Access Control DBA: Database Administrator DDoS: Distributed Denial of Service DEP: Data Execution Prevention DER: Distinguished Encoding Rules DES: Data Encryption Standard DHCP: Dynamic Host Configuration Protocol DHE: Diffie-Hellman Ephemeral DKIM: DomainKeys Identified Mail DLL: Dynamic Link Library DLP: Data Loss Prevention DMARC: Domain-based Message Authentication, Reporting, and Conformance DNT: Do Not Track DNS: Domain Name System DNSSEC: Domain Name System Security Extensions DoS: Denial of Service DPO: Data Protection Officer DRP: Disaster Recovery Plan DSA: Digital Signature Algorithm DSL: Digital Subscriber Line EAP: Extensible Authentication Protocol ECB: Electronic Codebook ECC: Elliptic Curve Cryptography ECDHE: Elliptic Curve Diffie-Hellman Ephemeral ECDSA: Elliptic Curve Digital Signature Algorithm EDR: Endpoint Detection and Response EFS: Encrypting File System EIP: Enterprise Information Portal EOL: End of Life EOS: End of Support ERP: Enterprise Resource Planning ESN: Electronic Serial Number ESP: Encapsulating Security Payload ESSID: Extended Service Set Identifier FACL: File Access Control List FDE: Full Disk Encryption FIM: File Integrity Monitoring FPGA: Field-Programmable Gate Array FRR: Fast Reroute FTP: File Transfer Protocol FTPS: FTP Secure GCM: Galois/Counter Mode GDPR: General Data Protection Regulation GPG: GNU Privacy Guard GPO: Group Policy Object GPS: Global Positioning System GPU: Graphics Processing Unit GRE: Generic Routing Encapsulation HA: High Availability HDD: Hard Disk Drive HIDS: Host-based Intrusion Detection System HIPS: Host-based Intrusion Prevention System HMAC: Keyed-Hash Message Authentication Code HOTP: HMAC-based One-Time Password HSM: Hardware Security Module HSMaaS: Hardware Security Module as a Service HTML: Hypertext Markup Language HTTP: Hypertext Transfer Protocol HTTPS: Hypertext Transfer Protocol Secure HVAC: Heating, Ventilation, and Air Conditioning IaaS: Infrastructure as a Service IAM: Identity and Access Management ICMP: Internet Control Message Protocol ICS: Industrial Control System IDEA: International Data Encryption Algorithm IDF: Intermediate Distribution Frame IdP: Identity Provider IDS: Intrusion Detection System IPS: Intrusion Prevention System IEEE: Institute of Electrical and Electronics Engineers IKE: Internet Key Exchange IM: Instant Messaging IMAP4: Internet Message Access Protocol version 4 IoC: Indicator of Compromise IoT: Internet of Things IP: Internet Protocol IPSec: Internet Protocol Security IR: Incident Response IRC: Internet Relay Chat IRP: Incident Response Plan ISA: Interconnection Security Agreement ISFW: Integrated Security and Firewalls ISO: International Organization for Standardization ISP: Internet Service Provider ISSO: Information Systems Security Officer ITCP: Information Technology Contingency Plan IV: Initialization Vector KDC: Key Distribution Center KEK: Key Encryption Key L2TP: Layer 2 Tunneling Protocol LAN: Local Area Network LDAP: Lightweight Directory Access Protocol LEAP: Lightweight Extensible Authentication Protocol MaaS: Monitoring as a Service MAC: Media Access Control MAM: Mobile Application Management MAN: Metropolitan Area Network MBR: Master Boot Record MD5: Message Digest Algorithm 5 MDF: Main Distribution Frame MDM: Mobile Device Management MFA: Multi-Factor Authentication MFD: Multi-Function Device MFP: Multi-Function Printer ML: Machine Learning MMS: Multimedia Messaging Service MOA: Memorandum of Agreement MOU: Memorandum of Understanding MPLS: Multiprotocol Label Switching MSA: Master Service Agreement MSP: Managed Service Provider MSSP: Managed Security Service Provider MTBF: Mean Time Between Failures MTTF: Mean Time To Failure MTTR: Mean Time To Repair MTU: Maximum Transmission Unit NAC: Network Access Control NAT: Network Address Translation NDA: Non-Disclosure Agreement NFC: Near Field Communication NFV: Network Functions Virtualization NGFW: Next-Generation Firewall NG-SWG: Next-Generation Secure Web Gateway NIC: Network Interface Card NIDS: Network Intrusion Detection System NIPS: Network Intrusion Prevention System NIST: National Institute of Standards and Technology NOC: Network Operations Center NTFS: New Technology File System NTLM: New Technology LAN Manager NTP: Network Time Protocol OCSP: Online Certificate Status Protocol OID: Object Identifier OS: Operating System OAI: OpenID Authentication OSINT: Open Source Intelligence OSPF: Open Shortest Path First OT: Operational Technology OTA: Over-the-Air OTG: On-The-Go OVAL: Open Vulnerability and Assessment Language OWASP: Open Web Application Security Project P12: Personal Information Exchange Format P2P: Peer-to-Peer PaaS: Platform as a Service PAC: Proxy Auto-Configuration PAM: Privileged Access Management PAP: Password Authentication Protocol PAT: Port Address Translation PBKDF2: Password-Based Key Derivation Function 2 PBX: Private Branch Exchange PCAP: Packet Capture PCI DSS: Payment Card Industry Data Security Standard PDU: Protocol Data Unit PE: Protected Extensible Authentication Protocol PEAP: Protected Extensible Authentication Protocol PED: Portable Electronic Device PEM: Privacy Enhanced Mail PFS: Perfect Forward Secrecy PGP: Pretty Good Privacy PHI: Protected Health Information PII: Personally Identifiable Information PIN: Personal Identification Number PIV: Personal Identity Verification PKCS: Public Key Cryptography Standards PKI: Public Key Infrastructure PoC: Proof of Concept POP: Post Office Protocol POTS: Plain Old Telephone Service PPP: Point-to-Point Protocol PPTP: Point-to-Point Tunneling Protocol PSK: Pre-Shared Key PTZ: Pan-Tilt-Zoom PUP: Potentially Unwanted Program QA: Quality Assurance QoS: Quality of Service RA: Recovery Agent RAD: Rapid Application Development RADIUS: Remote Authentication Dial-In User Service RAID: Redundant Array of Independent Disks RAM: Random Access Memory RAS: Remote Access Service RAT: Remote Access Trojan RC4: Rivest Cipher 4 RCS: Remote Control System RFC: Request for Comments RFID: Radio-Frequency Identification RIPEMD: RACE Integrity Primitives Evaluation Message Digest ROI: Return on Investment RPO: Recovery Point Objective RSA: Rivest-Shamir-Adleman RTBH: Remote Triggered Black Hole RTO: Recovery Time Objective RTOS: Real-Time Operating System RTP: Real-Time Transport Protocol S/MIME: Secure/Multipurpose Internet Mail Extensions SaaS: Software as a Service SAE: Simultaneous Authentication of Equals SAML: Security Assertion Markup Language SCADA: Supervisory Control and Data Acquisition SCAP: Security Content Automation Protocol SCEP: Simple Certificate Enrollment Protocol SDK: Software Development Kit SDLC: Software Development Life Cycle SDLM: Software Development Lifecycle Management SDN: Software-Defined Networking SDP: Session Description Protocol SDV: Software-Defined Vehicle SED: Self-Encrypting Drive SEH: Structured Exception Handler SFTP: Secure File Transfer Protocol SHA: Secure Hash Algorithm SIEM: Security Information and Event Management SIM: Subscriber Identity Module SIP: Session Initiation Protocol SLA: Service Level Agreement SLE: Single Loss Expectancy SMB: Server Message Block SMS: Short Message Service SMTP/S: Simple Mail Transfer Protocol/Secure SNMP: Simple Network Management Protocol SOAP: Simple Object Access Protocol SOAR: Security Orchestration, Automation, and Response SoC: Security Operations Center SOC: System-On-Chip SPF: Sender Policy Framework SPIM: Spam Over Instant Messaging SQL: Structured Query Language SQLi: SQL Injection SRTP: Secure Real-Time Transport Protocol SSD: Solid-State Drive SSH: Secure Shell SSID: Service Set Identifier SSL: Secure Sockets Layer SSO: Single Sign-On STIX: Structured Threat Information eXpression STP: Spanning Tree Protocol SWG: Secure Web Gateway TACACS+: Terminal Access Controller Access-Control System Plus TGT: Ticket Granting Ticket TKIP: Temporal Key Integrity Protocol TLS: Transport Layer Security TOTP: Time-Based One-Time Password TPM: Trusted Platform Module TSIG: Transaction Signature TTP: Tactics, Techniques, and Procedures UAT: User Acceptance Testing UDP: User Datagram Protocol UEBA: User and Entity Behavior Analytics UEFI: Unified Extensible Firmware Interface UEM: Unified Endpoint Management UPS: Uninterruptible Power Supply URI: Uniform Resource Identifier URL: Uniform Resource Locator USB: Universal Serial Bus USB OTG: USB On-The-Go UTM: Unified Threat Management UTP: Unshielded Twisted Pair VBA: Visual Basic for Applications VDE: Virtual Desktop Environment VDI: Virtual Desktop Infrastructure VLAN: Virtual Local Area Network VLSM: Variable Length Subnet Masking VM: Virtual Machine VoIP: Voice over Internet Protocol VPC: Virtual Private Cloud VPN: Virtual Private Network VTC: Video Teleconferencing WAF: Web Application Firewall WAP: Wireless Access Point WEP: Wired Equivalent Privacy WIDS: Wireless Intrusion Detection System WIPS: Wireless Intrusion Prevention System WORM: Write Once, Read Many WPA: Wi-Fi Protected Access WPS: Wi-Fi Protected Setup XaaS: Anything as a Service XSRF: Cross-Site Request Forgery

So for context, I (23 F) am newly diagnosed with autism but I just recently graduated from Butler County Community College with a 3.571 GPA, part of the Phi Theta Kappa honor society, and magna cum laude upon graduation. Transferring to Pitt, I am a double major (Russian and Mandarin) and double minor (linguistics and creative writing). I added the second minor due to my dad fearing I will not be able to get a job in the translation field.
I had my advisor meeting and they scheduled me for 18 credits this coming fall semester, a class for each major and minor, plus a nat sci gen ed. My dad believes that is too many for me to handle and I'll burnout and flunk this coming semester, so I should drop a class to have 12-15 credits. I am not one to easily quit on something like this and I feel I should at least try with the classes I have picked before I decide to drop any.
Any other cc transfers in the past who had issues adjusting to class work and pace?

Hi fellow engineers,
I made a python package for S-transform with Hyperbolic window (Hyperbolic S-transform or HSTransform package). This is my first time publishing a python package, so the project is still far from stable and still under beta release.
This transformation is applied to signal processing, analyzing transient changes of a signal during very short-time. Some special use case can be in power system signal, or Geophysical signal analysis, or MRI ... Also, the comparison with Wavelet Transform has been shown. (which shows more potential in detecting transient changes)
I would highly appreciate some feedback, before progressing further. Thanks a lot.
HSTransform is available on pypi.
Link to source code in github

Quick Usage

import numpy as np from hstransform import HSTransform # Create input signal (for example: Voltage signal) t = np.linspace(0, 10, 100) # timeseries V_m = 220*np.sqrt(2) # peak voltage f_V = 50 # frequency phi_V = 0 # phase V_clean = V_m * np.sin(2 * np.pi * f_V * t + phi_V) # Create voltage sag/dip (80% of the nominal voltage for 0.15 second) V_sag = np.where((t >= 2) & (t <= 3.5), 0.5 * V_clean, V_clean) # Create an instance of HSTransform hs = HSTransform() # Perform the transform signal = V_sag S_transformed = hs.fit_transform(t, signal) 

Hi fellow engineers,
I made a python package for S-transform with Hyperbolic window (Hyperbolic S-transform or HSTransform package). This is my first time publishing a python package, so the project is still far from stable and still under beta release.
This transformation is applied to signal processing, analyzing transient changes of a signal during very short-time. Some special use case can be in power system signal, or Geophysical signal analysis, or MRI ... Also, the comparison with Wavelet Transform has been shown. (which shows more potential in detecting transient changes)
I would highly appreciate some feedback, before progressing further. Thanks a lot.
HSTransform is available on pypi.
Link to source code in github

Quick Usage

import numpy as np from hstransform import HSTransform # Create input signal (for example: Voltage signal) t = np.linspace(0, 10, 100) # timeseries V_m = 220*np.sqrt(2) # peak voltage f_V = 50 # frequency phi_V = 0 # phase V_clean = V_m * np.sin(2 * np.pi * f_V * t + phi_V) # Create voltage sag/dip (80% of the nominal voltage for 0.15 second) V_sag = np.where((t >= 2) & (t <= 3.5), 0.5 * V_clean, V_clean) # Create an instance of HSTransform hs = HSTransform() # Perform the transform signal = V_sag S_transformed = hs.fit_transform(t, signal) 

I made a python package for S-transform with Hyperbolic window (Hyperbolic S-transform or HSTransform package). This is my first time publishing a python package, so the project is still far from stable and still under beta release.
This transformation is applied to signal processing, analyzing transient changes of a signal during very short-time. Some special use case can be in power system signal, or Geophysical signal analysis, or MRI ... Also, the comparison with Wavelet Transform has been shown. (which shows more potential in detecting transient changes)
I would highly appreciate some feedback, before progressing further. Thanks a lot.
HSTransform is available on pypi.
Link to source code in github

Quick Usage

import numpy as np from hstransform import HSTransform # Create input signal (for example: Voltage signal) t = np.linspace(0, 10, 100) # timeseries V_m = 220*np.sqrt(2) # peak voltage f_V = 50 # frequency phi_V = 0 # phase V_clean = V_m * np.sin(2 * np.pi * f_V * t + phi_V) # Create voltage sag/dip (80% of the nominal voltage for 0.15 second) V_sag = np.where((t >= 2) & (t <= 3.5), 0.5 * V_clean, V_clean) # Create an instance of HSTransform hs = HSTransform() # Perform the transform signal = V_sag S_transformed = hs.fit_transform(t, signal) 

I made a python package for S-transform with Hyperbolic window (Hyperbolic S-transform or HSTransform package). This is my first time publishing a python package, so the project is still far from stable and still under beta release.

• Key features: This transformation is applied to signal processing, convert time-series to frequency domain, analyzing transient changes of a signal during very short-time. Some special use case can be in power system signal, or Geophysical signal analysis, or MRI ...
• Target audience: anyone who is interested in signal processing or power system analysis or geographical analysis.
• Comparison: The comparison with Wavelet Transform has been shown. (which shows more potential in detecting transient changes)

I would highly appreciate some feedback, before progressing further. Looking forward to feedback on code, suggestions for improvements, bug reports, or unit test ...
HSTransform is available on pypi.
Link to source code in github

Quick Usage

import numpy as np from hstransform import HSTransform # Create input signal (for example: Voltage signal) t = np.linspace(0, 10, 100) # timeseries V_m = 220*np.sqrt(2) # peak voltage f_V = 50 # frequency phi_V = 0 # phase V_clean = V_m * np.sin(2 * np.pi * f_V * t + phi_V) # Create voltage sag/dip (80% of the nominal voltage for 0.15 second) V_sag = np.where((t >= 2) & (t <= 3.5), 0.5 * V_clean, V_clean) # Create an instance of HSTransform hs = HSTransform() # Perform the transform signal = V_sag S_transformed = hs.fit_transform(t, signal) 

I made a python package for S-transform with Hyperbolic window (Hyperbolic S-transform or HSTransform package). This is my first time publishing a python package, so the project is still far from stable and still under beta release.

• What my project does: This transformation is applied to signal processing, analyzing transient changes of a signal during very short-time. Some special use case can be in power system signal, or Geophysical signal analysis, or MRI ...
• Target audience: anyone who is interested in signal processing or power system analysis or geographical analysis.
• Comparison: The comparison with Wavelet Transform has been shown. (which shows more potential in detecting transient changes)

I would highly appreciate some feedback, before progressing further.
HSTransform is available on pypi.
Link to source code in github

Quick Usage

import numpy as np from hstransform import HSTransform # Create input signal (for example: Voltage signal) t = np.linspace(0, 10, 100) # timeseries V_m = 220*np.sqrt(2) # peak voltage f_V = 50 # frequency phi_V = 0 # phase V_clean = V_m * np.sin(2 * np.pi * f_V * t + phi_V) # Create voltage sag/dip (80% of the nominal voltage for 0.15 second) V_sag = np.where((t >= 2) & (t <= 3.5), 0.5 * V_clean, V_clean) # Create an instance of HSTransform hs = HSTransform() # Perform the transform signal = V_sag S_transformed = hs.fit_transform(t, signal) 

I made a python package for S-transform with Hyperbolic window (Hyperbolic S-transform or HSTransform package). This is my first time publishing a python package, so the project is still far from stable and still under beta release.

• What my project does: This transformation is applied to signal processing, analyzing transient changes of a signal during very short-time. Some special use case can be in power system signal, or Geophysical signal analysis, or MRI ...
• Target audience: anyone who is interested in signal processing or power system analysis or geographical analysis.
• Comparison: The comparison with Wavelet Transform has been shown. (which shows more potential in detecting transient changes)

I would highly appreciate some feedback, before progressing further.
HSTransform is available on pypi.
Link to source code in github

Quick Usage

import numpy as np from hstransform import HSTransform # Create input signal (for example: Voltage signal) t = np.linspace(0, 10, 100) # timeseries V_m = 220*np.sqrt(2) # peak voltage f_V = 50 # frequency phi_V = 0 # phase V_clean = V_m * np.sin(2 * np.pi * f_V * t + phi_V) # Create voltage sag/dip (80% of the nominal voltage for 0.15 second) V_sag = np.where((t >= 2) & (t <= 3.5), 0.5 * V_clean, V_clean) # Create an instance of HSTransform hs = HSTransform() # Perform the transform signal = V_sag S_transformed = hs.fit_transform(t, signal) 

I made a python package for S-transform with Hyperbolic window (Hyperbolic S-transform or HSTransform package). This is my first time publishing a python package, so the project is still far from stable and still under beta release.

• What my project does: This transformation is applied to signal processing, analyzing transient changes of a signal during very short-time. Some special use case can be in power system signal, or Geophysical signal analysis, or MRI ...
• Target audience: anyone who is interested in signal processing or power system analysis or geographical analysis.
• Comparison: The comparison with Wavelet Transform has been shown. (which shows more potential in detecting transient changes)

I would highly appreciate some feedback, before progressing further.
HSTransform is available on pypi.
Link to source code in github

Quick Usage

import numpy as np from hstransform import HSTransform # Create input signal (for example: Voltage signal) t = np.linspace(0, 10, 100) # timeseries V_m = 220*np.sqrt(2) # peak voltage f_V = 50 # frequency phi_V = 0 # phase V_clean = V_m * np.sin(2 * np.pi * f_V * t + phi_V) # Create voltage sag/dip (80% of the nominal voltage for 0.15 second) V_sag = np.where((t >= 2) & (t <= 3.5), 0.5 * V_clean, V_clean) # Create an instance of HSTransform hs = HSTransform() # Perform the transform signal = V_sag S_transformed = hs.fit_transform(t, signal) 

I’ve searched some stuff up about phi beta kappa, but I’m still skeptical. Is it really worth joining. UCI apparently covers the fee.

Does being in Phi Beta Kappa really do anything in terms of admission?

Just wanted to show how fast I could make a Phi-ntagon!! Take that long winded blowhards!!
https://youtu.be/s1BifR3j9cc

Hi guys! So I have this vector [-3,4,-1] in Cartesian (Rectangular). Usually, when changing Cartesian to Cylindrical for phi, you use arctan (y/x). With this formula, you would do arctan (4/(-3)). When I use the Ti function to convert from Cartesian to Rectangular, however, the calculator gives me a result of arctan(3/4) + pi/2. My question is, where does this come from!? Is it correct? Thx!

Does anyone know if the phi beta kappa nominations already went out this year?

I am newly graduated nurse having difficulty landing a job. I feel like I am a well-rounded candidate, but I have been declined from over 30 jobs and have only had one interview. I'm mostly sure that it is actually related to hospital hiring freezes, but want to make sure it is not actually a resume issue. Any help is appreciated!
https://preview.redd.it/qul2qkc5421d1.jpg?width=2550&format=pjpg&auto=webp&s=ee8e9a2543aaa6ac080e1205be717df36b59abc2
https://preview.redd.it/8313s6q5421d1.jpg?width=2550&format=pjpg&auto=webp&s=14748bf26cd356be902d335999f4617fbf74614c